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Lokulo-Sodipe O, Inskip HM, Byrne CD, Child J, Wakeling EL, Mackay DJG, Temple IK, Davies JH. Body composition and metabolism in adults with molecularly-confirmed Silver-Russell syndrome. J Clin Endocrinol Metab 2024:dgae074. [PMID: 38330234 DOI: 10.1210/clinem/dgae074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 01/23/2024] [Accepted: 02/05/2024] [Indexed: 02/10/2024]
Abstract
CONTEXT Low birth weight, as seen in Silver-Russell syndrome (SRS), is associated with later cardiometabolic disease. Data on long term outcomes and adult body composition in SRS are limited. OBJECTIVE To evaluate body composition and metabolic health in adults with SRS. DESIGN This was an observational study. Body composition and metabolic health were assessed at a single appointment. Individuals with SRS were compared with unaffected men and women (from the Southampton Women's Survey (SWS)). SETTING Clinical research facilities across the UK. PARTICIPANTS 25 individuals with molecularly-confirmed SRS aged ≥18 years. MAIN OUTCOME MEASURES Fat mass, lean mass, bone mineral density (BMD), blood pressure, lipids, and blood glucose were measured. RESULTS 25 adults with SRS were included (52% female). The median age was 32.9 years (range 22.0-69.7). Fat percentage was greater in the SRS group than the SWS cohort (44.1% vs 30.3%, p<0.001). Fat mass index was similar (9.6 vs 7.8, p=0.3). Lean mass percentage (51.8% vs 66.2%, p<0.001) and lean mass index (13.5 kg/m2 vs 17.3 kg/m2, p<0.001) were lower in the SRS group than the SWS cohort. BMD was lower in the SRS group than the SWS cohort (1.08 vs 1.24, p<0.001) (all median values). Total cholesterol was ≥5mmol/L in 52.0%. Triglyceride levels were ≥1.7mmol/L in 20.8%. Fasting blood glucose levels were ≥6.1mmol/L in 25.0%. Hypertension was present in 33.3%. CONCLUSIONS Adults with SRS have an unfavourable body composition and predisposition to cardiometabolic disease. These results support the need for a health surveillance strategy to mitigate adverse outcomes.
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Affiliation(s)
- Oluwakemi Lokulo-Sodipe
- Department of Human Development and Health, Faculty of Medicine, University of Southampton
- Regional Paediatric Endocrinology Service, University Southampton Hospitals NHS Foundation Trust, Southampton
| | - Hazel M Inskip
- Department of Human Development and Health, Faculty of Medicine, University of Southampton
- MRC Epidemiology Unit, Faculty of Medicine, University of Southampton, Southampton
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust
| | - Christopher D Byrne
- Department of Human Development and Health, Faculty of Medicine, University of Southampton
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust
| | - Jenny Child
- Child Growth Foundation, c/o Kinnair Associates Limited, Aston House, Redburn Road, Newcastle, NE5 1NB, UK
| | - Emma L Wakeling
- North East Thames Regional Genetic Service, Great Ormond Street Hospital for Children NHS Foundation Trust, Great Ormond Street London WC1N 3JH
| | - Deborah J G Mackay
- Department of Human Development and Health, Faculty of Medicine, University of Southampton
- Wessex Regional Genetics Laboratory, Salisbury Health Care Trust, Salisbury
| | - I Karen Temple
- Department of Human Development and Health, Faculty of Medicine, University of Southampton
- The Wessex Clinical Genetics Service, University Hospitals Southampton NHS Foundation Trust, Southampton
| | - Justin H Davies
- Department of Human Development and Health, Faculty of Medicine, University of Southampton
- Regional Paediatric Endocrinology Service, University Southampton Hospitals NHS Foundation Trust, Southampton
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Moon RJ, D’Angelo S, Crozier SR, Curtis EM, Fernandes M, Kermack AJ, Davies JH, Godfrey KM, Bishop NJ, Kennedy SH, Prentice A, Schoenmakers I, Fraser R, Gandhi SV, Inskip HM, Javaid MK, Papageorghiou AT, Cooper C, Harvey NC. Does antenatal cholecalciferol supplementation affect the mode or timing of delivery? Post hoc analyses of the MAVIDOS randomized controlled trial. J Public Health (Oxf) 2023; 45:738-747. [PMID: 36585903 PMCID: PMC10470377 DOI: 10.1093/pubmed/fdac160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 11/07/2022] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Observational studies relating maternal 25-hydroxyvitamin D status to timing and mode of delivery have reported inconsistent results. We assessed the effect of antenatal cholecalciferol supplementation on the incidence of preterm birth, delivery mode and post-partum haemorrhage (PPH). METHODS MAVIDOS was a randomized, double-blind, placebo-controlled trial of 1000 IU/day cholecalciferol from 14 weeks' gestation until delivery. Gestational age, mode of delivery [categorized as spontaneous vaginal delivery (SVD), instrumental (including forceps and vacuum extraction) or Caesarean section] and PPH (>500 ml estimated blood loss) were determined from medical records. RESULTS A total of 965 women participated in the study until delivery. Gestation at birth and incidence of preterm birth (cholecalciferol 5.7%, placebo 4.5%, P = 0.43) were similar between the two treatment groups. SVD (versus instrumental or Caesarean delivery) was more likely in women randomized to cholecalciferol [Relative Risk (RR) 1.13, 95% confidence interval (CI) 1.02,1.25] due to lower instrumental (RR 0.68, 95%CI 0.51,0.91) but similar risk of Caesarean delivery (RR 0.94, 95%CI 0.74,1.19). PPH was less common in women randomized to cholecalciferol [32.1% compared with placebo (38.1%, P = 0.054) overall], but similar when stratified by delivery mode. CONCLUSIONS Antenatal cholecalciferol supplementation did not alter timing of birth or prevalence of preterm birth but demonstrated a possible effect on the likelihood of SVD.
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Affiliation(s)
- Rebecca J Moon
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- Paediatric Endocrinology, University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, UK
| | - Stefania D’Angelo
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Sarah R Crozier
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Elizabeth M Curtis
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Michelle Fernandes
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Alexandra J Kermack
- Department of Women’s Health, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Justin H Davies
- Paediatric Endocrinology, University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, UK
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Nicholas J Bishop
- Academic Unit of Child Health, Sheffield Children’s Hospital, University of Sheffield, Sheffield, UK
| | - Stephen H Kennedy
- Nuffield Department of Women’s & Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Ann Prentice
- MRC Epidemiology Unit, University of Cambridge, previously at MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK
| | - Inez Schoenmakers
- Faculty of Medicine and Health Sciences, Department of Medicine, University of East Anglia, Norwich, UK
| | - Robert Fraser
- Department of Obstetrics and Gynaecology, Sheffield Hospitals NHS Trust, University of Sheffield, Sheffield, UK
| | - Saurabh V Gandhi
- Department of Obstetrics and Gynaecology, Sheffield Hospitals NHS Trust, University of Sheffield, Sheffield, UK
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Muhammad Kassim Javaid
- National Institute for Health Research (NIHR) Musculoskeletal Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Aris T Papageorghiou
- Nuffield Department of Women’s & Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- National Institute for Health Research (NIHR) Musculoskeletal Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
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3
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Dalrymple KV, Vogel C, Godfrey KM, Baird J, Hanson MA, Cooper C, Inskip HM, Crozier SR. Evaluation and interpretation of latent class modelling strategies to characterise dietary trajectories across early life: a longitudinal study from the Southampton Women's Survey. Br J Nutr 2023; 129:1945-1954. [PMID: 35968701 PMCID: PMC10167664 DOI: 10.1017/s000711452200263x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 07/07/2022] [Accepted: 08/05/2022] [Indexed: 11/05/2022]
Abstract
There is increasing interest in modelling longitudinal dietary data and classifying individuals into subgroups (latent classes) who follow similar trajectories over time. These trajectories could identify population groups and time points amenable to dietary interventions. This paper aimed to provide a comparison and overview of two latent class methods: group-based trajectory modelling (GBTM) and growth mixture modelling (GMM). Data from 2963 mother-child dyads from the longitudinal Southampton Women's Survey were analysed. Continuous diet quality indices (DQI) were derived using principal component analysis from interviewer-administered FFQ collected in mothers pre-pregnancy, at 11- and 34-week gestation, and in offspring at 6 and 12 months and 3, 6-7 and 8-9 years. A forward modelling approach from 1 to 6 classes was used to identify the optimal number of DQI latent classes. Models were assessed using the Akaike and Bayesian information criteria, probability of class assignment, ratio of the odds of correct classification, group membership and entropy. Both methods suggested that five classes were optimal, with a strong correlation (Spearman's = 0·98) between class assignment for the two methods. The dietary trajectories were categorised as stable with horizontal lines and were defined as poor (GMM = 4 % and GBTM = 5 %), poor-medium (23 %, 23 %), medium (39 %, 39 %), medium-better (27 %, 28 %) and best (7 %, 6 %). Both GBTM and GMM are suitable for identifying dietary trajectories. GBTM is recommended as it is computationally less intensive, but results could be confirmed using GMM. The stability of the diet quality trajectories from pre-pregnancy underlines the importance of promotion of dietary improvements from preconception onwards.
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Affiliation(s)
- Kathryn V. Dalrymple
- School of Life Course Sciences, King’s College London, London, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Christina Vogel
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Janis Baird
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK
| | - Mark A. Hanson
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Institute of Developmental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sarah R. Crozier
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK
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4
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Elhakeem A, Taylor AE, Inskip HM, Huang JY, Mansell T, Rodrigues C, Asta F, Blaauwendraad SM, Håberg SE, Halliday J, Harskamp-van Ginkel MW, He JR, Jaddoe VWV, Lewis S, Maher GM, Manios Y, McCarthy FP, Reiss IKM, Rusconi F, Salika T, Tafflet M, Qiu X, Åsvold BO, Burgner D, Chan JKY, Gagliardi L, Gaillard R, Heude B, Magnus MC, Moschonis G, Murray D, Nelson SM, Porta D, Saffery R, Barros H, Eriksson JG, Vrijkotte TGM, Lawlor DA. Long-term cardiometabolic health in people born after assisted reproductive technology: a multi-cohort analysis. Eur Heart J 2023; 44:1464-1473. [PMID: 36740401 PMCID: PMC10119029 DOI: 10.1093/eurheartj/ehac726] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 10/23/2022] [Accepted: 11/23/2022] [Indexed: 02/07/2023] Open
Abstract
AIMS To examine associations of assisted reproductive technology (ART) conception (vs. natural conception: NC) with offspring cardiometabolic health outcomes and whether these differ with age. METHODS AND RESULTS Differences in systolic (SBP) and diastolic blood pressure (DBP), heart rate (HR), lipids, and hyperglycaemic/insulin resistance markers were examined using multiple linear regression models in 14 population-based birth cohorts in Europe, Australia, and Singapore, and results were combined using meta-analysis. Change in cardiometabolic outcomes from 2 to 26 years was examined using trajectory modelling of four cohorts with repeated measures. 35 938 (654 ART) offspring were included in the meta-analysis. Mean age ranged from 13 months to 27.4 years but was <10 years in 11/14 cohorts. Meta-analysis found no statistical difference (ART minus NC) in SBP (-0.53 mmHg; 95% CI:-1.59 to 0.53), DBP (-0.24 mmHg; -0.83 to 0.35), or HR (0.02 beat/min; -0.91 to 0.94). Total cholesterol (2.59%; 0.10-5.07), HDL cholesterol (4.16%; 2.52-5.81), LDL cholesterol (4.95%; 0.47-9.43) were statistically significantly higher in ART-conceived vs. NC offspring. No statistical difference was seen for triglycerides (TG), glucose, insulin, and glycated haemoglobin. Long-term follow-up of 17 244 (244 ART) births identified statistically significant associations between ART and lower predicted SBP/DBP in childhood, and subtle trajectories to higher SBP and TG in young adulthood; however, most differences were not statistically significant. CONCLUSION These findings of small and statistically non-significant differences in offspring cardiometabolic outcomes should reassure people receiving ART. Longer-term follow-up is warranted to investigate changes over adulthood in the risks of hypertension, dyslipidaemia, and preclinical and clinical cardiovascular disease.
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Affiliation(s)
- Ahmed Elhakeem
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Amy E Taylor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Jonathan Y Huang
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Duke-NUS Medical School, Centre for Quantitative Medicine,Singapore, Singapore
| | - Toby Mansell
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC, Australia
- University of Melbourne, Parkville, VIC, Australia
| | - Carina Rodrigues
- EPIUnit—Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Federica Asta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Sophia M Blaauwendraad
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jane Halliday
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC, Australia
- University of Melbourne, Parkville, VIC, Australia
| | - Margreet W Harskamp-van Ginkel
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jian-Rong He
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Vincent W V Jaddoe
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Sharon Lewis
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC, Australia
- University of Melbourne, Parkville, VIC, Australia
| | - Gillian M Maher
- School of Public Health, University College Cork, Cork, Ireland
- The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
- Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
| | - Fergus P McCarthy
- The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland
- Department of Obstetrics and Gynaecology, University College Cork, Cork, Ireland
| | - Irwin K M Reiss
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Franca Rusconi
- Department of Mother and Child Health, Ospedale Versilia, Viareggio, AUSL Toscana Nord Ovest, Pisa, Italy
| | - Theodosia Salika
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Muriel Tafflet
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Xiu Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Bjørn O Åsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Levanger, Norway
- Department of Endocrinology, Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - David Burgner
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC, Australia
- Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia
- Department of Paediatrics, Monash University, Clayton, VIC, Australia
| | - Jerry K Y Chan
- Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
- Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore, Singapore
| | - Luigi Gagliardi
- Department of Mother and Child Health, Ospedale Versilia, Viareggio, AUSL Toscana Nord Ovest, Pisa, Italy
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Maria C Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - George Moschonis
- Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia
| | - Deirdre Murray
- The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland
- Department of Pediatrics and Child Health, University College Cork, Cork, Ireland
| | - Scott M Nelson
- NIHR Bristol Biomedical Research Centre, Bristol, UK
- School of Medicine, University of Glasgow, Glasgow, UK
| | - Daniela Porta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Richard Saffery
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, VIC, Australia
- University of Melbourne, Parkville, VIC, Australia
| | - Henrique Barros
- EPIUnit—Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Johan G Eriksson
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
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Vinther JL, Cadman T, Avraam D, Ekstrøm CT, Sørensen TIA, Elhakeem A, Santos AC, de Moira AP, Heude B, Iñiguez C, Pizzi C, Simons E, Voerman E, Corpeleijn E, Zariouh F, Santorelli G, Inskip HM, Barros H, Carson J, Harris JR, Nader JL, Ronkainen J, Strandberg-Larsen K, Santa-Marina L, Calas L, Cederkvist L, Popovic M, Charles MA, Welten M, Vrijheid M, Azad M, Subbarao P, Burton P, Mandhane PJ, Huang RC, Wilson RC, Haakma S, Fernández-Barrés S, Turvey S, Santos S, Tough SC, Sebert S, Moraes TJ, Salika T, Jaddoe VWV, Lawlor DA, Nybo Andersen AM. Correction: Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies. PLoS Med 2023; 20:e1004232. [PMID: 37071835 PMCID: PMC10112920 DOI: 10.1371/journal.pmed.1004232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/20/2023] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pmed.1004036.].
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6
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Dalrymple KV, Vogel C, Flynn AC, Seed PT, Godfrey KM, Poston L, Inskip HM, Crozier SR. Longitudinal dietary trajectories from pregnancy to 3 years post delivery in women with obesity: relationships with adiposity. Obesity (Silver Spring) 2023; 31:1159-1169. [PMID: 36876599 PMCID: PMC10947498 DOI: 10.1002/oby.23706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 12/07/2022] [Accepted: 12/09/2022] [Indexed: 03/07/2023]
Abstract
OBJECTIVE The study aim was to examine the relationships between longitudinal dietary trajectories from early pregnancy to 3 years post delivery and adiposity measures in women with obesity. METHODS The diets of 1208 women with obesity in the UPBEAT (UK Pregnancy Better Eating and Activity Trial) study were assessed using a food frequency questionnaire (FFQ) at 15+0 to 18+6 weeks' gestation (baseline), 27+0 to 28+6 weeks' gestation, and 34+0 to 36+0 weeks' gestation, as well as 6 months and 3 years post delivery. Using factor analysis of the baseline FFQ data, four dietary patterns were identified: fruit & vegetable, African/Caribbean, processed, and snacking. The baseline scoring system was applied to the FFQ data at the four subsequent time points. Group-based trajectory modeling was used to extract longitudinal dietary pattern trajectories. Using adjusted regression, associations between dietary trajectories and log-transformed/standardized adiposity measures (BMI and waist and mid-upper arm circumferences) at 3 years post delivery were examined. RESULTS Two trajectories were found to best describe the data for the four individual dietary patterns; these were characterized as high and low adherence. A high adherence to the processed pattern was associated with a higher BMI (β = 0.38 [95% CI: 0.06-0.69]) and higher waist (β = 0.35 [0.03-0.67]) and mid-upper arm circumferences (β = 0.36 [0.04-0.67]) at 3 years post delivery. CONCLUSIONS In women with obesity, a processed dietary pattern across pregnancy and 3 years post delivery is associated with higher adiposity.
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Affiliation(s)
- Kathryn V. Dalrymple
- Department of Women and Children's HealthSchool of Life Course and Population Sciences, King's College LondonLondonUK
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Christina Vogel
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
- NIHR Applied Research Collaboration WessexSouthampton Science ParkSouthamptonUK
| | - Angela C. Flynn
- Department of Nutritional SciencesSchool of Life Course and Population Sciences, King's College LondonLondonUK
| | - Paul T. Seed
- Department of Women and Children's HealthSchool of Life Course and Population Sciences, King's College LondonLondonUK
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Lucilla Poston
- Department of Women and Children's HealthSchool of Life Course and Population Sciences, King's College LondonLondonUK
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Sarah R. Crozier
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Applied Research Collaboration WessexSouthampton Science ParkSouthamptonUK
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Vinther JL, Cadman T, Avraam D, Ekstrøm CT, I. A. Sørensen T, Elhakeem A, Santos AC, Pinot de Moira A, Heude B, Iñiguez C, Pizzi C, Simons E, Voerman E, Corpeleijn E, Zariouh F, Santorelli G, Inskip HM, Barros H, Carson J, Harris JR, Nader JL, Ronkainen J, Strandberg-Larsen K, Santa-Marina L, Calas L, Cederkvist L, Popovic M, Charles MA, Welten M, Vrijheid M, Azad M, Subbarao P, Burton P, Mandhane PJ, Huang RC, Wilson RC, Haakma S, Fernández-Barrés S, Turvey S, Santos S, Tough SC, Sebert S, Moraes TJ, Salika T, Jaddoe VWV, Lawlor DA, Nybo Andersen AM. Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies. PLoS Med 2023; 20:e1004036. [PMID: 36701266 PMCID: PMC9879424 DOI: 10.1371/journal.pmed.1004036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 12/19/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Preterm birth is the leading cause of perinatal morbidity and mortality and is associated with adverse developmental and long-term health outcomes, including several cardiometabolic risk factors and outcomes. However, evidence about the association of preterm birth with later body size derives mainly from studies using birth weight as a proxy of prematurity rather than an actual length of gestation. We investigated the association of gestational age (GA) at birth with body size from infancy through adolescence. METHODS AND FINDINGS We conducted a two-stage individual participant data (IPD) meta-analysis using data from 253,810 mother-child dyads from 16 general population-based cohort studies in Europe (Denmark, Finland, France, Italy, Norway, Portugal, Spain, the Netherlands, United Kingdom), North America (Canada), and Australasia (Australia) to estimate the association of GA with body mass index (BMI) and overweight (including obesity) adjusted for the following maternal characteristics as potential confounders: education, height, prepregnancy BMI, ethnic background, parity, smoking during pregnancy, age at child's birth, gestational diabetes and hypertension, and preeclampsia. Pregnancy and birth cohort studies from the LifeCycle and the EUCAN-Connect projects were invited and were eligible for inclusion if they had information on GA and minimum one measurement of BMI between infancy and adolescence. Using a federated analytical tool (DataSHIELD), we fitted linear and logistic regression models in each cohort separately with a complete-case approach and combined the regression estimates and standard errors through random-effects study-level meta-analysis providing an overall effect estimate at early infancy (>0.0 to 0.5 years), late infancy (>0.5 to 2.0 years), early childhood (>2.0 to 5.0 years), mid-childhood (>5.0 to 9.0 years), late childhood (>9.0 to 14.0 years), and adolescence (>14.0 to 19.0 years). GA was positively associated with BMI in the first decade of life, with the greatest increase in mean BMI z-score during early infancy (0.02, 95% confidence interval (CI): 0.00; 0.05, p < 0.05) per week of increase in GA, while in adolescence, preterm individuals reached similar levels of BMI (0.00, 95% CI: -0.01; 0.01, p 0.9) as term counterparts. The association between GA and overweight revealed a similar pattern of association with an increase in odds ratio (OR) of overweight from late infancy through mid-childhood (OR 1.01 to 1.02) per week increase in GA. By adolescence, however, GA was slightly negatively associated with the risk of overweight (OR 0.98 [95% CI: 0.97; 1.00], p 0.1) per week of increase in GA. Although based on only four cohorts (n = 32,089) that reached the age of adolescence, data suggest that individuals born very preterm may be at increased odds of overweight (OR 1.46 [95% CI: 1.03; 2.08], p < 0.05) compared with term counterparts. Findings were consistent across cohorts and sensitivity analyses despite considerable heterogeneity in cohort characteristics. However, residual confounding may be a limitation in this study, while findings may be less generalisable to settings in low- and middle-income countries. CONCLUSIONS This study based on data from infancy through adolescence from 16 cohort studies found that GA may be important for body size in infancy, but the strength of association attenuates consistently with age. By adolescence, preterm individuals have on average a similar mean BMI to peers born at term.
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Affiliation(s)
- Johan L. Vinther
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- * E-mail:
| | - Tim Cadman
- Population Health Science, Bristol Medical School, Bristol, United Kingdom
| | - Demetris Avraam
- Population Health Sciences Institute, Newcastle University, Newcastle, United Kingdom
| | - Claus T. Ekstrøm
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Thorkild I. A. Sørensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ahmed Elhakeem
- Population Health Science, Bristol Medical School, Bristol, United Kingdom
| | - Ana C. Santos
- EPIUnit–Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Angela Pinot de Moira
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Carmen Iñiguez
- Department of Statistics and Operational Research, Universitat de València, València, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- FISABIO—Universitat Jaume I—Universitat de València Epidemiology and Environmental Health Joint Research Unit, València, Spain
| | - Costanza Pizzi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Elinor Simons
- Section of Allergy and Immunology, Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Canada
- The Children’s Hospital Research Institute of Manitoba (CHRIM), Winnipeg, Canada
| | - Ellis Voerman
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Faryal Zariouh
- Ined, Inserm, EFS, joint unit Elfe, Aubervilliers Cedex, France
| | - Gilian Santorelli
- Born In Bradford, Bradford Institute for Health Research, Bradford, United Kingdom
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Henrique Barros
- EPIUnit–Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Jennie Carson
- Telethon Kids Institute, Perth, Australia
- University of Western Australia, School of Population and Global Health, Perth, Australia
| | - Jennifer R. Harris
- Center for Fertillity and Health, The Norwegian Institute of Public Health, Oslo, Norway
| | - Johanna L. Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Justiina Ronkainen
- Center for Life-course Health research, University of Oulu, Oulu, Finland
| | | | - Loreto Santa-Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Biodonostia Health Research Institute, San Sebastian, Spain
- Health Department of Basque Government, Subdirectorate of Public Health of Gipuzkoa, San Sebastian, Spain
| | - Lucinda Calas
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Luise Cederkvist
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | | | - Marieke Welten
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Martine Vrijheid
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Meghan Azad
- Section of Allergy and Immunology, Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Canada
- Developmental Origins of Chronic Diseases in Children Network (DEVOTION), Children’s Hospital, Winnipeg, Canada
- Department of Food and Human Nutritional Sciences, University of Manitoba, Winnipeg, Canada
| | - Padmaja Subbarao
- Translational Medicine Program, Department of Pediatrics, The Hospital for Sick Children, Toronto, Canada
- Department of Medicine, McMaster University, Hamilton, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Paul Burton
- Population Health Sciences Institute, Newcastle University, Newcastle, United Kingdom
| | | | - Rae-Chi Huang
- Telethon Kids Institute, Perth, Australia
- Edith Cowan University, School of Medicine and Health Sciences, Joondalup, Australia
| | - Rebecca C. Wilson
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Sido Haakma
- University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, the Netherlands
| | - Sílvia Fernández-Barrés
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Stuart Turvey
- Department of Pediatrics, BC Children’s Hospital, University of British Columbia, Vancouver, Canada
| | - Susana Santos
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Suzanne C. Tough
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Sylvain Sebert
- Center for Life-course Health research, University of Oulu, Oulu, Finland
| | - Theo J. Moraes
- Translational Medicine Program, Department of Pediatrics, The Hospital for Sick Children, Toronto, Canada
| | - Theodosia Salika
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC–Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Deborah A. Lawlor
- Population Health Science, Bristol Medical School, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
| | - Anne-Marie Nybo Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Simpson RF, Hesketh KR, Crozier SR, Baird J, Cooper C, Godfrey KM, Harvey NC, Westgate K, Inskip HM, van Sluijs EMF. The association between number and ages of children and the physical activity of mothers: Cross-sectional analyses from the Southampton Women's Survey. PLoS One 2022; 17:e0276964. [PMID: 36383511 PMCID: PMC9668156 DOI: 10.1371/journal.pone.0276964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 10/18/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Physical activity (PA) has many health benefits, but motherhood is often associated with reduced PA. Considering that ages and number of children may be associated with maternal PA, and that PA patterns may change as children transition to formal schooling, we aimed to investigate the associations between ages and number of children and device-measured maternal PA. METHODS Cross-sectional analyses were conducted using data from 848 mothers from the Southampton Women's Survey at two different timepoints. Two-level random intercept linear models were used to investigate associations between ages (≤4y(ears) ("younger"), school-aged, both age groups) and number (1, 2, ≥3) of children, and their interaction, and accelerometer-assessed minutes of maternal moderate or vigorous PA (log-transformed MVPA) and light, moderate or vigorous PA (LMVPA). RESULTS Women with any school-aged children engaged in more MVPA than those with only ≤4y (e.g. % difference in minutes of MVPA [95% confidence interval]: 46.9% [22.0;77.0] for mothers with only school-aged vs only ≤4y). Mothers with multiple children did less MVPA than those with 1 child (e.g. 12.5% [-1.1;24.3] less MVPA for those with 2 children). For mothers with multiple children, those with any school-aged children did less LMVPA than those with only ≤4y (e.g. amongst mothers with 2 children, those with only school-aged children did 34.0 [3.9;64.1] mins/day less LMVPA). For mothers with any ≤4y, those with more children did more LMVPA (e.g. amongst mothers with only ≤4y, those with 2 children did 42.6 [16.4;68.8] mins/day more LMVPA than those with 1 child). CONCLUSIONS Mothers with multiple children and only children aged ≤4y did less MVPA. Considering that many of these women also did more LMVPA than mothers with fewer or older children, interventions and policies are needed to increase their opportunities for higher intensity PA to maximise health benefits. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04715945.
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Affiliation(s)
- Rachel F. Simpson
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Kathryn R. Hesketh
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Sarah R. Crozier
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Applied Research Collaboration Wessex, Southampton, United Kingdom
| | - Janis Baird
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Nicholas C. Harvey
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Kate Westgate
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Centre (University of Southampton), Southampton General Hospital, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Esther M. F. van Sluijs
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
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Jacob CM, Inskip HM, Lawrence W, McGrath C, McAuliffe FM, Killeen SL, Divakar H, Hanson M. Acceptability of the FIGO Nutrition Checklist in Preconception and Early Pregnancy to Assess Nutritional Status and Prevent Excess Gestational Weight Gain: A Study of Women and Healthcare Practitioners in the UK. Nutrients 2022; 14:nu14173623. [PMID: 36079880 PMCID: PMC9460608 DOI: 10.3390/nu14173623] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/24/2022] [Accepted: 08/30/2022] [Indexed: 11/16/2022] Open
Abstract
Optimum nutrition and weight before and during pregnancy are associated with a lower risk of conditions such as pre-eclampsia and gestational diabetes. There is a lack of user-friendly tools in most clinical settings to support healthcare practitioners (HCPs) in implementing them. This study aimed to evaluate the acceptability of (1) using a nutrition checklist designed by the International Federation of Gynecology and Obstetrics (FIGO) for nutritional screening of women in the preconception and early pregnancy period and (2) routine discussion of nutrition and weight in clinical care. An online cross-sectional survey was conducted with women (aged 18-45) and HCPs (e.g., general practitioners, obstetricians, and midwives). Quantitative statistical analysis and qualitative content analysis were performed. The concept and content of the checklist were acceptable to women (n = 251) and HCPs (n = 47) (over 80% in both groups). Several barriers exist to implementation such as lack of time, training for HCPs, and the need for sensitive and non-stigmatizing communication. Routine discussion of nutrition was considered important by both groups; however, results suggest that nutrition is not regularly discussed in perinatal visits in the UK. The FIGO nutrition checklist presents a valuable resource for use in clinical practice, offering long-term and intergenerational benefits for both mother and baby.
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Affiliation(s)
- Chandni Maria Jacob
- Institute of Developmental Sciences, School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton SO16 6YD, UK
- Correspondence:
| | - Hazel M. Inskip
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
| | - Wendy Lawrence
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton SO16 6YD, UK
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK
| | - Carmel McGrath
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton SO16 6YD, UK
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK
| | - Fionnuala M. McAuliffe
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, D02 YH21 Dublin, Ireland
| | - Sarah Louise Killeen
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, D02 YH21 Dublin, Ireland
| | - Hema Divakar
- Divakar’s Specialty Hospital, Bengaluru 560078, India
| | - Mark Hanson
- Institute of Developmental Sciences, School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton SO16 6YD, UK
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Lokulo‐Sodipe O, Giabicani E, Canton AM, Ferrand N, Child J, Wakeling EL, Binder G, Netchine I, Mackay DJG, Inskip HM, Byrne C, Temple IK, Davies JH. Height and body mass index in molecularly confirmed Silver-Russell syndrome and the long-term effects of growth hormone treatment. Clin Endocrinol (Oxf) 2022; 97:284-292. [PMID: 35261046 PMCID: PMC9545243 DOI: 10.1111/cen.14715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 01/25/2022] [Accepted: 02/21/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Silver-Russell syndrome (SRS) causes short stature. Growth hormone (GH) treatment aims to increase adult height. However, data are limited on the long-term outcomes of GH in patients with molecularly confirmed SRS. This study evaluated height, body mass index (BMI) and GH treatment in molecularly confirmed SRS. DESIGN An observational study with retrospective data collection. PATIENTS Individuals with molecularly confirmed SRS aged ≥13 years. MEASUREMENTS Data were collected on height, height gain (change in height standard deviation score [SDS] from childhood to final or near-final height), BMI and gain in BMI (from childhood to adulthood) and previous GH treatment. RESULTS Seventy-one individuals (40 female) were included. The median age was 22.0 years (range 13.2-69.7). The molecular diagnoses: H19/IGF2:IG-DMR LOM in 80.3% (57/71); upd(7)mat in 16.9% (12/71) and IGF2 mutation in 2.8% (2/71). GH treatment occurred in 77.5% (55/71). Total height gain was greater in GH-treated individuals (median 1.53 SDS vs. 0.53 SDS, p = .007), who were shorter at treatment initiation (-3.46 SDS vs. -2.91 SDS, p = .04) but reached comparable heights to GH-untreated individuals (-2.22 SDS vs. -2.74 SDS, p = .7). In GH-treated individuals, BMI SDS was lower at the most recent assessment (median -1.10 vs. 1.66, p = .002) with lower BMI gain (2.01 vs. 3.58, p = .006) despite similar early BMI SDS to GH-untreated individuals (median -2.65 vs. -2.78, p = .3). CONCLUSIONS These results support the use of GH in SRS for increasing height SDS. GH treatment was associated with lower adult BMI which may reflect improved metabolic health even following discontinuation of therapy.
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Affiliation(s)
- Oluwakemi Lokulo‐Sodipe
- Human Development and HealthFaculty of Medicine University of SouthamptonSouthamptonUK
- Department of Paediatric EndocrinologyUniversity Hospital Southampton NHS Foundation TrustSouthamptonUK
- Present address:
Oluwakemi Lokulo‐Sodipe, Oluwakemi Lokulo‐Sodipe, Department of Paediatric Endocrinology, Oxford University Hospitals NHS Foundation TrustJohn Radcliffe Hospital, Headley WayOxfordUK
| | - Eloïse Giabicani
- INSERM, UMR_S 938—Centre de Recherche Saint Antoine, APHP, Hôpital Armand Trousseau, Explorations Fonctionnelles EndocriniennesSorbonne UniversitéParisFrance
| | - Ana P. M. Canton
- INSERM, UMR_S 938—Centre de Recherche Saint Antoine, APHP, Hôpital Armand Trousseau, Explorations Fonctionnelles EndocriniennesSorbonne UniversitéParisFrance
- Division of Endocrinology & Metabolism, Development Endocrinology Unit, Laboratory of Hormones and Molecular Genetics/LIM42, Clinical Hospital, Sao Paulo Medical SchoolUniversity of Sao PauloSao PauloBrazil
| | - Nawfel Ferrand
- Pediatric EndocrinologyUniversity Children's HospitalTübingenGermany
| | | | - Emma L. Wakeling
- Great Ormond Street Hospital for Children NHS Foundation TrustLondonUK
| | - Gerhard Binder
- Pediatric EndocrinologyUniversity Children's HospitalTübingenGermany
| | - Irène Netchine
- INSERM, UMR_S 938—Centre de Recherche Saint Antoine, APHP, Hôpital Armand Trousseau, Explorations Fonctionnelles EndocriniennesSorbonne UniversitéParisFrance
| | - Deborah J. G. Mackay
- Human Development and HealthFaculty of Medicine University of SouthamptonSouthamptonUK
- Wessex Regional Genetics LaboratorySalisbury Hospital NHS Foundation TrustSalisburyUK
| | - Hazel M. Inskip
- MRC Epidemiology UnitFaculty of Medicine University of SouthamptonSouthamptonUK
| | - Christopher D. Byrne
- Cancer SciencesFaculty of Medicine University of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - I. Karen Temple
- Human Development and HealthFaculty of Medicine University of SouthamptonSouthamptonUK
- Wessex Clinical Genetics ServiceUniversity Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Justin H. Davies
- Human Development and HealthFaculty of Medicine University of SouthamptonSouthamptonUK
- Department of Paediatric EndocrinologyUniversity Hospital Southampton NHS Foundation TrustSouthamptonUK
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Hesketh KR, Brage S, Inskip HM, Crozier SR, Godfrey KM, Harvey NC, Cooper C, Van Sluijs EM. Activity Behaviors in British 6-Year-Olds: Cross-Sectional Associations and Longitudinal Change During the School Transition. J Phys Act Health 2022; 19:558-565. [PMID: 35894892 PMCID: PMC7613624 DOI: 10.1123/jpah.2021-0718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 03/04/2022] [Accepted: 06/22/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND To explore activity behaviors at school entry, we describe temporal/demographic associations with accelerometer-measured physical activity in a population-based sample of British 6-year-olds, and examine change from ages 4 to 6. METHODS A total of 712 six-year-olds (308 at both ages) wore Actiheart accelerometers for ≥3 (mean 6.0) days. We derived minutes per day sedentary (<20 cpm) and moderate to vigorous physical activity (MVPA, ≥460 cpm), also segmented across mornings (06:00 AM to 09:00 AM), school (09:00 AM to 3:00 PM), and evenings (3:00 PM to 11:00 PM). Using mixed effects linear regression, we analyzed associations between temporal/demographic factors and children's activity intensities at age 6, and change between ages 4 and 6. RESULTS Six-year-old children engaged in MVPA (mean [SD]): 64.9 (25.7) minutes per day (53% met UK guidelines). Girls did less MVPA than boys, particularly during school hours. Children were less active on weekends (vs weekdays) and more active on spring/summer evenings (vs winter). Longitudinally, 6-year-old children did less light physical activity (-43.0; 95% confidence interval, -47.5 to -38.4 min/d) but were more sedentary (29.4; 24.6 to 34.2), and engaged in greater MVPA (7.1; 5.2 to 9.1) compared to when they were aged 4. CONCLUSION Half of 6-year-old children met current activity guidelines; MVPA levels were lower in girls and at weekends. UK children became more sedentary but did more MVPA as they entered formal schooling. Physical activity promotion efforts should capitalize on these changes in MVPA, to maintain positive habits.
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Affiliation(s)
- Kathryn R. Hesketh
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Soren Brage
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sarah R. Crozier
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Southampton, UK
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Nicholas C. Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- -NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Esther M.F. Van Sluijs
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
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Curtis EM, Moon RJ, D'Angelo S, Crozier SR, Bishop NJ, Gopal‐Kothandapani JS, Kennedy SH, Papageorghiou AT, Fraser R, Gandhi SV, Schoenmakers I, Prentice A, Inskip HM, Godfrey KM, Javaid MK, Eastell R, Cooper C, Harvey NC. Pregnancy Vitamin D Supplementation and Childhood Bone Mass at Age 4 Years: Findings From the Maternal Vitamin D Osteoporosis Study (MAVIDOS) Randomized Controlled Trial. JBMR Plus 2022; 6:e10651. [PMID: 35866154 PMCID: PMC9289979 DOI: 10.1002/jbm4.10651] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/25/2022] [Accepted: 04/28/2022] [Indexed: 01/04/2023] Open
Abstract
In the Maternal Vitamin D Osteoporosis Study (MAVIDOS) randomized trial, vitamin D supplementation in pregnancy did not lead to greater neonatal bone mass across the trial as a whole, but, in a prespecified secondary analysis by season of birth, led to greater neonatal bone mass among winter-born babies. Demonstrating persistence of this effect into childhood would increase confidence in a long-term benefit of this intervention. We investigated whether antenatal vitamin D supplementation increases offspring bone mineralization in early childhood in a prespecified, single-center follow-up of a double-blinded, multicenter, randomized controlled clinical trial based in the UK (MAVIDOS). A total of 1123 women in early pregnancy with a baseline 25-hydroxyvitamin D level 25-100 nmol/L from three research centers (2008-2014) were randomized to 1000 IU/d cholecalciferol or matched placebo from 14 weeks of gestation to delivery. Offspring born at the Southampton, UK research center were assessed at age 4 years (2013-2018). Anthropometry and dual-energy X-ray absorptiometry (DXA) were performed (yielding whole body less head [WBLH] bone mineral content [BMC], areal bone mineral density [aBMD], bone area [BA], and body composition). Of 723 children, 564 (78.0%) children attended the 4-year visit, 452 of whom had a useable DXA. Maternal vitamin D supplementation led to greater WBLH aBMD in the children compared with placebo (mean [95% confidence interval {CI}]: supplemented group: 0.477 (95% CI, 0.472-0.481) g/cm2; placebo group: 0.470 (95% CI, 0.466-0.475) g/cm2, p = 0.048). Associations were consistent for BMC and lean mass, and in age- and sex-adjusted models. Effects were observed across the whole cohort irrespective of season of birth. Maternal-child interactions were observed, with a greater effect size among children with low milk intake and low levels of physical activity. Child weight, height, and body mass index (BMI) were similar by maternal randomization group. These findings suggest a sustained beneficial effect of maternal vitamin D supplementation in pregnancy on offspring aBMD at age 4 years, but will require replication in other trials. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Elizabeth M. Curtis
- Medical Research Council (MRC) Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Rebecca J. Moon
- Medical Research Council (MRC) Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- Paediatric EndocrinologyUniversity Hospital Southampton National Health Service (NHS) Foundation TrustSouthamptonUK
| | - Stefania D'Angelo
- Medical Research Council (MRC) Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Sarah R. Crozier
- Medical Research Council (MRC) Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Nicholas J. Bishop
- Academic Unit of Child Health, Sheffield Children's HospitalUniversity of SheffieldSheffieldUK
| | | | - Stephen H. Kennedy
- Nuffield Department of Women's & Reproductive Health, John Radcliffe HospitalUniversity of OxfordOxfordUK
| | - Aris T. Papageorghiou
- Nuffield Department of Women's & Reproductive Health, John Radcliffe HospitalUniversity of OxfordOxfordUK
| | - Robert Fraser
- Department of Obstetrics and Gynaecology, Sheffield Hospitals National Health Service (NHS) TrustUniversity of SheffieldSheffieldUK
| | - Saurabh V. Gandhi
- Department of Obstetrics and Gynaecology, Sheffield Hospitals National Health Service (NHS) TrustUniversity of SheffieldSheffieldUK
| | - Inez Schoenmakers
- Department of Medicine, Faculty of Medicine and Health SciencesUniversity of East AngliaNorwichUK
| | - Ann Prentice
- Medical Research Council (MRC) Nutrition and Bone Health, Clifford Allbutt BuildingUniversity of CambridgeCambridgeUK
| | - Hazel M. Inskip
- Medical Research Council (MRC) Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- National Institute for Health Research (NIHR) Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton National Health Service (NHS) Foundation TrustSouthamptonUK
| | - Keith M. Godfrey
- Medical Research Council (MRC) Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- National Institute for Health Research (NIHR) Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton National Health Service (NHS) Foundation TrustSouthamptonUK
| | - M. Kassim Javaid
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal SciencesUniversity of OxfordOxfordUK
- National Institute for Health Research (NIHR) Oxford Biomedical Research CentreUniversity of OxfordOxfordUK
| | - Richard Eastell
- Department of Oncology and MetabolismUniversity of SheffieldSheffieldUK
| | - Cyrus Cooper
- Medical Research Council (MRC) Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- National Institute for Health Research (NIHR) Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton National Health Service (NHS) Foundation TrustSouthamptonUK
- National Institute for Health Research (NIHR) Oxford Biomedical Research CentreUniversity of OxfordOxfordUK
| | - Nicholas C. Harvey
- Medical Research Council (MRC) Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- National Institute for Health Research (NIHR) Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton National Health Service (NHS) Foundation TrustSouthamptonUK
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13
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Elhakeem A, Taylor AE, Inskip HM, Huang J, Tafflet M, Vinther JL, Asta F, Erkamp JS, Gagliardi L, Guerlich K, Halliday J, Harskamp-van Ginkel MW, He JR, Jaddoe VWV, Lewis S, Maher GM, Manios Y, Mansell T, McCarthy FP, McDonald SW, Medda E, Nisticò L, de Moira AP, Popovic M, Reiss IKM, Rodrigues C, Salika T, Smith A, Stazi MA, Walker C, Wu M, Åsvold BO, Barros H, Brescianini S, Burgner D, Chan JKY, Charles MA, Eriksson JG, Gaillard R, Grote V, Håberg SE, Heude B, Koletzko B, Morton S, Moschonis G, Murray D, O’Mahony D, Porta D, Qiu X, Richiardi L, Rusconi F, Saffery R, Tough SC, Vrijkotte TGM, Nelson SM, Nybo Andersen AM, Magnus MC, Lawlor DA. Association of Assisted Reproductive Technology With Offspring Growth and Adiposity From Infancy to Early Adulthood. JAMA Netw Open 2022; 5:e2222106. [PMID: 35881399 PMCID: PMC9327583 DOI: 10.1001/jamanetworkopen.2022.22106] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 05/13/2022] [Indexed: 11/14/2022] Open
Abstract
Importance People conceived using assisted reproductive technology (ART) make up an increasing proportion of the world's population. Objective To investigate the association of ART conception with offspring growth and adiposity from infancy to early adulthood in a large multicohort study. Design, Setting, and Participants This cohort study used a prespecified coordinated analysis across 26 European, Asia-Pacific, and North American population-based cohort studies that included people born between 1984 and 2018, with mean ages at assessment of growth and adiposity outcomes from 0.6 months to 27.4 years. Data were analyzed between November 2019 and February 2022. Exposures Conception by ART (mostly in vitro fertilization, intracytoplasmic sperm injection, and embryo transfer) vs natural conception (NC; without any medically assisted reproduction). Main Outcomes and Measures The main outcomes were length / height, weight, and body mass index (BMI; calculated as weight in kilograms divided by height in meters squared). Each cohort was analyzed separately with adjustment for maternal BMI, age, smoking, education, parity, and ethnicity and offspring sex and age. Results were combined in random effects meta-analysis for 13 age groups. Results Up to 158 066 offspring (4329 conceived by ART) were included in each age-group meta-analysis, with between 47.6% to 60.6% females in each cohort. Compared with offspring who were NC, offspring conceived via ART were shorter, lighter, and thinner from infancy to early adolescence, with differences largest at the youngest ages and attenuating with older child age. For example, adjusted mean differences in offspring weight were -0.27 (95% CI, -0.39 to -0.16) SD units at age younger than 3 months, -0.16 (95% CI, -0.22 to -0.09) SD units at age 17 to 23 months, -0.07 (95% CI, -0.10 to -0.04) SD units at age 6 to 9 years, and -0.02 (95% CI, -0.15 to 0.12) SD units at age 14 to 17 years. Smaller offspring size was limited to individuals conceived by fresh but not frozen embryo transfer compared with those who were NC (eg, difference in weight at age 4 to 5 years was -0.14 [95% CI, -0.20 to -0.07] SD units for fresh embryo transfer vs NC and 0.00 [95% CI, -0.15 to 0.15] SD units for frozen embryo transfer vs NC). More marked differences were seen for body fat measurements, and there was imprecise evidence that offspring conceived by ART developed greater adiposity by early adulthood (eg, ART vs NC difference in fat mass index at age older than 17 years: 0.23 [95% CI, -0.04 to 0.50] SD units). Conclusions and Relevance These findings suggest that people conceiving or conceived by ART can be reassured that differences in early growth and adiposity are small and no longer evident by late adolescence.
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Affiliation(s)
- Ahmed Elhakeem
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Amy E. Taylor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Bristol Biomedical Research Centre, Bristol, United Kingdom
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Jonathan Huang
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore
| | - Muriel Tafflet
- Université de Paris, National Institute for Health and Medical Research, National Research Institute for Agriculture, Food and Environment, Centre for Research in Epidemiology and Statistics, Paris, France
| | - Johan L. Vinther
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Federica Asta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Jan S. Erkamp
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Luigi Gagliardi
- Department of Mother and Child Health, Ospedale Versilia, Viareggio, Azienda Usl Toscana Nord Ovest, Pisa, Italy
| | - Kathrin Guerlich
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr von Hauner Children’s Hospital, University Hospital, LMU Munich, Munich, Germany
| | - Jane Halliday
- Murdoch Children’s Research Institute, Parkville, Australia
- University of Melbourne, Parkville, Australia
| | - Margreet W. Harskamp-van Ginkel
- Amsterdam University Medical Centers, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Jian-Rong He
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Sharon Lewis
- Murdoch Children’s Research Institute, Parkville, Australia
- University of Melbourne, Parkville, Australia
| | - Gillian M. Maher
- School of Public Health, University College Cork, Cork, Ireland
- The Irish Centre for Maternal and Child Health Research, University College Cork, Cork, Ireland
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
- Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
| | - Toby Mansell
- Murdoch Children’s Research Institute, Parkville, Australia
- University of Melbourne, Parkville, Australia
| | - Fergus P. McCarthy
- The Irish Centre for Maternal and Child Health Research, University College Cork, Cork, Ireland
- Department of Obstetrics and Gynaecology, University College Cork, Cork, Ireland
| | - Sheila W. McDonald
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Emanuela Medda
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Lorenza Nisticò
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Angela Pinot de Moira
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Reference Centre for Epidemiology and Cancer Prevention Piemonte, Turin, Italy
| | - Irwin K. M. Reiss
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Carina Rodrigues
- Epidemiology Research Unit, Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional, Porto, Portugal
| | - Theodosia Salika
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Ash Smith
- Centre for Longitudinal Research, He Ara ki Mua, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Maria A. Stazi
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Caroline Walker
- Centre for Longitudinal Research, He Ara ki Mua, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Muci Wu
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Bjørn O. Åsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Levanger, Norway
- Department of Endocrinology, Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Henrique Barros
- Epidemiology Research Unit, Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional, Porto, Portugal
| | - Sonia Brescianini
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - David Burgner
- Murdoch Children’s Research Institute, Parkville, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Australia
- Department of Paediatrics, Monash University, Clayton, Australia
| | - Jerry K. Y. Chan
- Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore
- Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore
| | - Marie-Aline Charles
- Université de Paris, National Institute for Health and Medical Research, National Research Institute for Agriculture, Food and Environment, Centre for Research in Epidemiology and Statistics, Paris, France
- National Institute for Demographic Studies, National Institute for Health and Medical Research, National Blood Service Joint Unit Elfe, Paris, France
| | - Johan G. Eriksson
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr von Hauner Children’s Hospital, University Hospital, LMU Munich, Munich, Germany
| | - Siri E. Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Barbara Heude
- Université de Paris, National Institute for Health and Medical Research, National Research Institute for Agriculture, Food and Environment, Centre for Research in Epidemiology and Statistics, Paris, France
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr von Hauner Children’s Hospital, University Hospital, LMU Munich, Munich, Germany
| | - Susan Morton
- Centre for Longitudinal Research, He Ara ki Mua, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - George Moschonis
- Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
| | - Deirdre Murray
- The Irish Centre for Maternal and Child Health Research, University College Cork, Cork, Ireland
- Department of Pediatrics and Child Health, University College Cork, Cork, Ireland
| | - Desmond O’Mahony
- National Longitudinal Study of Children in Ireland, Economic and Social Research Institute, Dublin, Ireland
| | - Daniela Porta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Xiu Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Reference Centre for Epidemiology and Cancer Prevention Piemonte, Turin, Italy
| | - Franca Rusconi
- Department of Mother and Child Health, Ospedale Versilia, Viareggio, Azienda Usl Toscana Nord Ovest, Pisa, Italy
| | - Richard Saffery
- Murdoch Children’s Research Institute, Parkville, Australia
- University of Melbourne, Parkville, Australia
| | - Suzanne C. Tough
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Tanja G. M. Vrijkotte
- Amsterdam University Medical Centers, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Scott M. Nelson
- National Institute for Health Research Bristol Biomedical Research Centre, Bristol, United Kingdom
- School of Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Anne-Marie Nybo Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Maria C. Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Deborah A. Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Bristol Biomedical Research Centre, Bristol, United Kingdom
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Titcombe P, Murray R, Hewitt M, Antoun E, Cooper C, Inskip HM, Holbrook JD, Godfrey KM, Lillycrop K, Hanson M, Barton SJ. Human non-CpG methylation patterns display both tissue-specific and inter-individual differences suggestive of underlying function. Epigenetics 2022; 17:653-664. [PMID: 34461806 PMCID: PMC9235887 DOI: 10.1080/15592294.2021.1950990] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 05/25/2021] [Accepted: 06/29/2021] [Indexed: 12/29/2022] Open
Abstract
DNA methylation (DNAm) in mammals is mostly examined within the context of CpG dinucleotides. Non-CpG DNAm is also widespread across the human genome, but the functional relevance, tissue-specific disposition, and inter-individual variability has not been widely studied. Our aim was to examine non-CpG DNAm in the wider methylome across multiple tissues from the same individuals to better understand non-CpG DNAm distribution within different tissues and individuals and in relation to known genomic regulatory features.DNA methylation in umbilical cord and cord blood at birth, and peripheral venous blood at age 12-13 y from 20 individuals from the Southampton Women's Survey cohort was assessed by Agilent SureSelect methyl-seq. Hierarchical cluster analysis (HCA) was performed on CpG and non-CpG sites and stratified by specific cytosine environment. Analysis of tissue and inter-individual variation was then conducted in a second dataset of 12 samples: eight muscle tissues, and four aliquots of cord blood pooled from two individuals.HCA using methylated non-CpG sites showed different clustering patterns specific to the three base-pair triplicate (CNN) sequence. Analysis of CAC sites with non-zero methylation showed that samples clustered first by tissue type, then by individual (as observed for CpG methylation), while analysis using non-zero methylation at CAT sites showed samples grouped predominantly by individual. These clustering patterns were validated in an independent dataset using cord blood and muscle tissue.This research suggests that CAC methylation can have tissue-specific patterns, and that individual effects, either genetic or unmeasured environmental factors, can influence CAT methylation.
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Affiliation(s)
- Philip Titcombe
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Robert Murray
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
| | - Matthew Hewitt
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
| | - Elie Antoun
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
- Centre for Biological Sciences, University of Southampton, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Joanna D Holbrook
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Karen Lillycrop
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
- Centre for Biological Sciences, University of Southampton, Southampton, UK
| | - Mark Hanson
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sheila J Barton
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
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15
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Antoun E, Titcombe P, Dalrymple K, Kitaba NT, Barton SJ, Flynn A, Murray R, Garratt ES, Seed PT, White SL, Cooper C, Inskip HM, Hanson M, Poston L, Godfrey KM, Lillycrop KA. DNA methylation signatures in cord blood associated with birthweight are enriched for dmCpGs previously associated with maternal hypertension or pre-eclampsia, smoking and folic acid intake. Epigenetics 2022; 17:405-421. [PMID: 33784941 PMCID: PMC8993070 DOI: 10.1080/15592294.2021.1908706] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 02/23/2021] [Accepted: 03/17/2021] [Indexed: 01/22/2023] Open
Abstract
Many epidemiological studies have linked low birthweight to an increased risk of non-communicable diseases (NCDs) in later life, with epigenetic proceseses suggested as an underlying mechanism. Here, we sought to identify neonatal methylation changes associated with birthweight, at the individual CpG and genomic regional level, and whether the birthweight-associated methylation signatures were associated with specific maternal factors. Using the Illumina Human Methylation EPIC array, we assessed DNA methylation in the cord blood of 557 and 483 infants from the UK Pregnancies Better Eating and Activity Trial and Southampton Women's Survey, respectively. Adjusting for gestational age and other covariates, an epigenome-wide association study identified 2911 (FDR≤0.05) and 236 (Bonferroni corrected p ≤ 6.45×10-8) differentially methylated CpGs (dmCpGs), and 1230 differentially methylated regions (DMRs) (Stouffer ≤0.05) associated with birthweight. The top birthweight-associated dmCpG was located within the Homeobox Telomere-Binding Protein 1 (HMBOX1) gene with a 195 g (95%CI: -241, -149 g) decrease in birthweight per 10% increase in methylation, while the top DMR was located within the promoter of corticotropin-releasing hormone-binding protein (CRHBP). Furthermore, the birthweight-related dmCpGs were enriched for dmCpGs previously associated with gestational hypertension/pre-eclampsia (14.51%, p = 1.37×10-255), maternal smoking (7.71%, p = 1.50 x 10-57) and maternal plasma folate levels during pregnancy (0.33%, p = 0.029). The identification of birthweight-associated methylation markers, particularly those connected to specific pregnancy complications and exposures, may provide insights into the developmental pathways that affect birthweight and suggest surrogate markers to identify adverse prenatal exposures for stratifying for individuals at risk of later NCDs.
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Affiliation(s)
- E Antoun
- Human Development and health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - P Titcombe
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - K Dalrymple
- Department of Women and Children’s Health, King’s College London, London, UK
| | - NT Kitaba
- Human Development and health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - SJ Barton
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Ac Flynn
- Department of Women and Children’s Health, King’s College London, London, UK
| | - R Murray
- Human Development and health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - ES Garratt
- Human Development and health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - PT Seed
- Department of Women and Children’s Health, King’s College London, London, UK
| | - SL White
- Department of Women and Children’s Health, King’s College London, London, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR, NIHR Southampton BiomedGical Research Centre, Southampton
| | - H M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - M Hanson
- Human Development and health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - L Poston
- Department of Women and Children’s Health, King’s College London, London, UK
| | - KM Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR, NIHR Southampton BiomedGical Research Centre, Southampton
| | - KA Lillycrop
- NIHR, NIHR Southampton BiomedGical Research Centre, Southampton
- Biological Sciences, University of Southampton, Southampton, UK
| | - UPBEAT Consortium/EpiGen Consortium
- Human Development and health, Faculty of Medicine, University of Southampton, Southampton, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Department of Women and Children’s Health, King’s College London, London, UK
- NIHR, NIHR Southampton BiomedGical Research Centre, Southampton
- Biological Sciences, University of Southampton, Southampton, UK
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Dalrymple KV, Vogel C, Godfrey KM, Baird J, Harvey NC, Hanson MA, Cooper C, Inskip HM, Crozier SR. Longitudinal dietary trajectories from preconception to mid-childhood in women and children in the Southampton Women's Survey and their relation to offspring adiposity: a group-based trajectory modelling approach. Int J Obes (Lond) 2022; 46:758-766. [PMID: 34916617 PMCID: PMC8960403 DOI: 10.1038/s41366-021-01047-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 11/23/2021] [Accepted: 11/26/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Rates of childhood obesity are increasing globally, with poor dietary quality an important contributory factor. Evaluation of longitudinal diet quality across early life could identify timepoints and subgroups for nutritional interventions as part of effective public health strategies. OBJECTIVE This research aimed to: (1) define latent classes of mother-offspring diet quality trajectories from pre-pregnancy to child age 8-9 years, (2) identify early life factors associated with these trajectories, and (3) describe the association between the trajectories and childhood adiposity outcomes. DESIGN Dietary data from 2963 UK Southampton Women's Survey mother-offspring dyads were analysed using group-based trajectory modelling of a diet quality index (DQI). Maternal diet was assessed pre-pregnancy and at 11- and 34-weeks' gestation, and offspring diet at ages 6 and 12 months, 3, 6-7- and 8-9-years using interviewer-administered food frequency questionnaires. At each timepoint, a standardised DQI was derived using principal component analysis. Adiposity age 8-9 years was assessed using dual-energy X-ray absorptiometry (DXA) and BMI z-scores. RESULTS A five-trajectory group model was identified as optimal. The diet quality trajectories were characterised as stable, horizontal lines and were categorised as poor (n = 142), poor-medium (n = 667), medium (n = 1146), medium-better (n = 818) and best (n = 163). A poorer dietary trajectory was associated with higher maternal pre-pregnancy BMI, smoking, multiparity, lower maternal age and lower educational attainment. Using linear regression adjusted for confounders, a 1-category decrease in the dietary trajectory was associated with higher DXA percentage body fat (0.08 SD (95% confidence interval 0.01, 0.15) and BMI z-score (0.08 SD (0.00, 0.16) in the 1216 children followed up at age 8-9 years. CONCLUSION Mother-offspring dietary trajectories are stable across early life, with poorer diet quality associated with maternal socio-demographic and other factors and childhood adiposity. The preconception period may be an important window to promote positive maternal dietary changes in order to improve childhood outcomes.
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Affiliation(s)
- Kathryn V Dalrymple
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Christina Vogel
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Janis Baird
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Mark A Hanson
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Institute of Developmental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sarah R Crozier
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK.
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK.
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Ashley B, Simner C, Manousopoulou A, Jenkinson C, Hey F, Frost JM, Rezwan FI, White CH, Lofthouse EM, Hyde E, Cooke LDF, Barton S, Mahon P, Curtis EM, Moon RJ, Crozier SR, Inskip HM, Godfrey KM, Holloway JW, Cooper C, Jones KS, Lewis RM, Hewison M, Garbis SDD, Branco MR, Harvey NC, Cleal JK. Placental uptake and metabolism of 25(OH)vitamin D determine its activity within the fetoplacental unit. eLife 2022; 11:71094. [PMID: 35256050 PMCID: PMC8903835 DOI: 10.7554/elife.71094] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 01/20/2022] [Indexed: 12/13/2022] Open
Abstract
Pregnancy 25-hydroxyvitamin D [25(OH)D] concentrations are associated with maternal and fetal health outcomes. Using physiological human placental perfusion and villous explants, we investigate the role of the placenta in regulating the relationships between maternal 25(OH)D and fetal physiology. We demonstrate active placental uptake of 25(OH)D3 by endocytosis, placental metabolism of 25(OH)D3 into 24,25-dihydroxyvitamin D3 and active 1,25-dihydroxyvitamin D [1,25(OH)2D3], with subsequent release of these metabolites into both the maternal and fetal circulations. Active placental transport of 25(OH)D3 and synthesis of 1,25(OH)2D3 demonstrate that fetal supply is dependent on placental function rather than simply the availability of maternal 25(OH)D3. We demonstrate that 25(OH)D3 exposure induces rapid effects on the placental transcriptome and proteome. These map to multiple pathways central to placental function and thereby fetal development, independent of vitamin D transfer. Our data suggest that the underlying epigenetic landscape helps dictate the transcriptional response to vitamin D treatment. This is the first quantitative study demonstrating vitamin D transfer and metabolism by the human placenta, with widespread effects on the placenta itself. These data demonstrate a complex interplay between vitamin D and the placenta and will inform future interventions using vitamin D to support fetal development and maternal adaptations to pregnancy.
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Affiliation(s)
- Brogan Ashley
- The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine University of SouthamptonSouthamptonUnited Kingdom
| | - Claire Simner
- The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine University of SouthamptonSouthamptonUnited Kingdom
| | - Antigoni Manousopoulou
- Beckman Research Institute, City of Hope National Medical CenterDuarteUnited States,Proteas Bioanalytics Inc, BioLabs at the Lundquist InstituteTorranceUnited States
| | - Carl Jenkinson
- Institute of Metabolism and Systems Research, The University of BirminghamBirminghamUnited Kingdom
| | - Felicity Hey
- NIHR Cambridge Biomedical Research Centre, Nutritional Biomarker Laboratory. MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Clifford Allbutt Building, Cambridge Biomedical CampusCambridgeUnited Kingdom,Formerly at MRC Elsie Widdowson Laboratory, Cambridge, CB1 9NL l Merck Exploratory Science Center, Merck Research LaboratoriesCambridgeUnited States
| | - Jennifer M Frost
- Centre for Genomics and Child Health, Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of LondonLondonUnited Kingdom
| | - Faisal I Rezwan
- The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine University of SouthamptonSouthamptonUnited Kingdom,School of Water, Energy and Environment, Cranfield UniversityCranfieldUnited Kingdom
| | - Cory H White
- The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine University of SouthamptonSouthamptonUnited Kingdom,Merck Exploratory Science Center, Merck Research LaboratoriesCambridgeUnited States
| | - Emma M Lofthouse
- The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine University of SouthamptonSouthamptonUnited Kingdom
| | - Emily Hyde
- The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine University of SouthamptonSouthamptonUnited Kingdom
| | - Laura DF Cooke
- The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine University of SouthamptonSouthamptonUnited Kingdom
| | - Sheila Barton
- MRC Lifecourse Epidemiology Centre, University of SouthamptonSouthamptonUnited Kingdom
| | - Pamela Mahon
- MRC Lifecourse Epidemiology Centre, University of SouthamptonSouthamptonUnited Kingdom
| | - Elizabeth M Curtis
- MRC Lifecourse Epidemiology Centre, University of SouthamptonSouthamptonUnited Kingdom
| | - Rebecca J Moon
- MRC Lifecourse Epidemiology Centre, University of SouthamptonSouthamptonUnited Kingdom
| | - Sarah R Crozier
- MRC Lifecourse Epidemiology Centre, University of SouthamptonSouthamptonUnited Kingdom,NIHR Applied Research Collaboration Wessex, Southampton Science ParkSouthamptonUnited Kingdom
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Centre, University of SouthamptonSouthamptonUnited Kingdom
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre, University of SouthamptonSouthamptonUnited Kingdom,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUnited Kingdom
| | - John W Holloway
- The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine University of SouthamptonSouthamptonUnited Kingdom
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of SouthamptonSouthamptonUnited Kingdom,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUnited Kingdom,NIHR Oxford Biomedical Research Center, University of OxfordOxfordUnited Kingdom
| | - Kerry S Jones
- NIHR Cambridge Biomedical Research Centre, Nutritional Biomarker Laboratory. MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Clifford Allbutt Building, Cambridge Biomedical CampusCambridgeUnited Kingdom,Formerly at MRC Elsie Widdowson Laboratory, Cambridge, CB1 9NL l Merck Exploratory Science Center, Merck Research LaboratoriesCambridgeUnited States
| | - Rohan M Lewis
- The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine University of SouthamptonSouthamptonUnited Kingdom
| | - Martin Hewison
- Institute of Metabolism and Systems Research, The University of BirminghamBirminghamUnited Kingdom
| | - Spiros DD Garbis
- Proteas Bioanalytics Inc, BioLabs at the Lundquist InstituteTorranceUnited States
| | - Miguel R Branco
- Centre for Genomics and Child Health, Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of LondonLondonUnited Kingdom
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of SouthamptonSouthamptonUnited Kingdom,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUnited Kingdom
| | - Jane K Cleal
- The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine University of SouthamptonSouthamptonUnited Kingdom
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18
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Holroyd CR, Carter S, Crozier SR, D'Angelo S, Curtis EM, Moon RJ, Davies JH, Ward KA, Dennison EM, Inskip HM, Godfrey KM, Cooper C, Harvey NC. Differential relationships between parent-child DXA and pQCT bone measures: Results from the Southampton Women's Survey. Bone 2021; 153:116134. [PMID: 34332160 PMCID: PMC7611825 DOI: 10.1016/j.bone.2021.116134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/13/2021] [Accepted: 07/24/2021] [Indexed: 10/20/2022]
Abstract
AIM To investigate the associations between indices of bone health in childhood and corresponding parental measures. METHODS The Southampton Women's Survey characterised 12,583 non-pregnant women aged 20-34 years; 3158 subsequently had singleton live births. In a subset, dual-energy X-ray absorptiometry (DXA) measurements of bone area (BA), bone mineral content (BMC) and areal bone mineral density (aBMD) lumbar spine and total hip were obtained in the parent/offspring (aged 8-9 years) trios. Another subset of children (aged 6-7 years), and their parents, had peripheral quantitative computed tomography (pQCT; 4% and 38% tibia) measures. Using multivariable linear regression we examined relationships between mother/father and offspring, adjusting for parental age, habitual walking speed and education; offspring age and sex; and the corresponding bone measure in the other parent (β-coefficients (95%CI) unit/unit for each bone measure). RESULTS Data were available for 260 trios with DXA and 99 with pQCT. There were positive associations for BA, BMC and aBMD between either parent and offspring. Mother-child associations were of greater magnitude than father-child; for example, mother-child aBMD (β = 0.26 g·cm-2/g·cm-2 (0.21,0.32)) and father-child aBMD (β = 0.16 g·cm-2/g·cm-2 (0.11,0.21)), P-difference in β = 0.007. In the subset with pQCT there was a positive association for mother-offspring 4% tibial total area (β = 0.33 mm2/mm2 (0.17,0.48)), but little evidence of a father-offspring association (β = -0.06 mm2/mm2 (-0.17,0.06)). In contrast offspring 38% cortical density was more strongly associated with this measure in fathers (β = 0.48 mg·cm-3/mg·cm-3 (0.15,0.82)) than mothers (β = 0.27 mg·cm-3/mg·cm-3 (-0.03,0.56)). In general mother-father differences were attenuated by adjustment for height. CONCLUSIONS Whilst offspring bone measures are independently associated with those of either parent, the magnitude of the association is often greater for maternal than paternal relationships. These findings are consistent with an in utero influence on offspring growth but might also reflect genetic and/or epigenetic parent of origin effects. SUMMARY In an established parent-offspring cohort, associations between parent and offspring bone indices were generally greater in magnitude for mother-offspring than father-offspring relationships.
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Affiliation(s)
- C R Holroyd
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Rheumatology Department, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - S Carter
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - S R Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - S D'Angelo
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E M Curtis
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Rheumatology Department, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - R J Moon
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Paediatric Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - J H Davies
- Paediatric Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - K A Ward
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E M Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - H M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - K M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
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19
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Curtis EM, Parsons C, Maslin K, D'Angelo S, Moon RJ, Crozier SR, Gossiel F, Bishop NJ, Kennedy SH, Papageorghiou AT, Fraser R, Gandhi SV, Prentice A, Inskip HM, Godfrey KM, Schoenmakers I, Javaid MK, Eastell R, Cooper C, Harvey NC. Bone turnover in pregnancy, measured by urinary CTX, is influenced by vitamin D supplementation and is associated with maternal bone health: findings from the Maternal Vitamin D Osteoporosis Study (MAVIDOS) trial. Am J Clin Nutr 2021; 114:1600-1611. [PMID: 34297067 PMCID: PMC8574710 DOI: 10.1093/ajcn/nqab264] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 07/19/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND The pattern of change in maternal bone turnover throughout pregnancy is poorly characterized. OBJECTIVES We investigated changes across pregnancy in a marker of maternal bone resorption, urinary C-terminal telopeptide of type I collagen (CTX), the influence of gestational vitamin D supplementation, and associations between CTX and maternal postnatal bone indices. METHODS MAVIDOS (the Maternal Vitamin D Osteoporosis Study) is a randomized, double-blind, placebo-controlled trial of 1000 IU cholecalciferol/d compared with placebo from 14 weeks of gestation to birth. Maternal second-void urinary α- and β-CTX were measured (ELISA) at 14 and 34 weeks of gestation; DXA was performed within 2 wk postpartum. The Mann-Whitney Rank Sum test, Spearman's rank correlation, and linear regression were used to compare median CTX values within and between groups from early to late pregnancy, and associations with maternal bone outcomes. RESULTS In total, 372 women had CTX and 25-hydroxyvitamin D [25(OH)D] measured in early and late pregnancy. CTX at 14 and 34 weeks of gestation were correlated in both placebo (r = 0.31) and cholecalciferol (r = 0.45) groups (P < 0.0001). Median CTX increased from 14 to 34 weeks of gestation in both groups (n = 372 total) [placebo (n = 188): from 223.6 to 449.7 μg/mmol creatinine; cholecalciferol (n = 184): from 222.3 to 419.3 μg/mmol creatinine; P = 0.03 for placebo compared with cholecalciferol difference in CTX at 34 weeks of gestation]. The conditional mean ± SD increase in CTX [z-score (SD)] from early to late pregnancy was greater in the placebo group (n = 188) than in the cholecalciferol group (n = 184) (placebo: 0.16 ± 0.92; cholecalciferol: -0.16 ± 1.06; P-difference < 0.01). Higher CTX at 34 weeks of gestation was associated, similarly in both groups, with lower maternal total hip and lumbar spine bone mineral content and bone mineral density (BMD) (e.g., lumbar spine BMD: β = -0.02 g · cm-2 · SD-1 increase in CTX; 95% CI: -0.027, -0.002 g · cm-2 · SD-1; P = 0.02, n = 283). CONCLUSIONS Maternal urinary CTX, a bone resorption marker, rises through pregnancy, although to a lesser degree with gestational cholecalciferol supplementation, and is inversely associated with maternal bone mass postpartum.This trial was registered at www.isrctn.com as ISRCTN 82927713 and eudract.ema.europa.eu as EudraCT 2007-001716-23.
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Affiliation(s)
- Elizabeth M Curtis
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Camille Parsons
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Kate Maslin
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- School of Nursing and Midwifery, University of Plymouth, Plymouth, United Kingdom
| | - Stefania D'Angelo
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Rebecca J Moon
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- Paediatric Endocrinology, University Hospitals Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Sarah R Crozier
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Fatma Gossiel
- Academic Unit of Bone Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - Nicholas J Bishop
- Academic Unit of Child Health, Sheffield Children's Hospital, University of Sheffield, Sheffield, United Kingdom
| | - Stephen H Kennedy
- Nuffield Department of Women's & Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Aris T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Robert Fraser
- Department of Obstetrics and Gynaecology, Sheffield Hospitals National Health Service Trust, University of Sheffield, Sheffield, United Kingdom
| | - Saurabh V Gandhi
- Department of Obstetrics and Gynaecology, Sheffield Hospitals National Health Service Trust, University of Sheffield, Sheffield, United Kingdom
| | - Ann Prentice
- Medical Research Council Nutrition and Bone Health, University of Cambridge, Cambridge, United Kingdom
| | - Hazel M Inskip
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Inez Schoenmakers
- Department of Medicine, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, United Kingdom
| | - M Kassim Javaid
- National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Richard Eastell
- Academic Unit of Bone Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom
- National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Nicholas C Harvey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom
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20
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Simpson RF, Hesketh KR, Crozier SR, Baird J, Cooper C, Godfrey KM, Harvey NC, Westgate K, Inskip HM, van Sluijs EMF. Cross-sectional associations between number and ages of children and maternal physical activity. Eur J Public Health 2021. [DOI: 10.1093/eurpub/ckab164.789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Physical activity (PA) has many health benefits, but parenthood is often associated with reduced PA in mothers. Determinants of adult PA are diverse, but ages and number of children may be key factors linked to maternal PA. Few studies have compared PA levels of mothers of school-aged children with those who have younger children, which is vital considering that maternal PA patterns may change at transition to formal schooling. Studies using device-assessment to investigate this association are also sparse. We aimed to investigate the association between number and ages of children and maternal device-measured moderate-to-vigorous PA (MVPA).
Methods
Cross-sectional analyses were conducted using data from 848 mothers from the Southampton Women's Survey when the index child was 4 or 6-7 years old. Two-level random intercept linear models were run to investigate associations between self-reported number (1, 2, 3+) and ages (4y and under, 5y and over, both age groups) of children, and their potential interaction, and accelerometer-assessed log-transformed minutes of maternal MVPA. Results are presented as % difference in minutes of MVPA.
Results
41% of mothers met PA guidelines (150 minutes of MVPA/week). Women who had any children 5y and over engaged in more MVPA than those with only children 4y and under (e.g. % difference in minutes of MVPA: 42.2, 95% CI 18.7 to 70.4 for mothers with only children 5y and over vs those with only children 4y and under). Mothers with 2 or 3+ children did less MVPA than those with 1 child (e.g. 13.9, 1.0 to 25.2 less MVPA for women with 2 children vs those with 1 child).
Conclusions
Mothers with multiple children or any children 4y and under do less MVPA than those with 1 child or only school-aged children. Interventions and policies are needed to support these mothers to increase their time spent doing MVPA, especially considering the additional health benefits associated with this level of intensity of PA.
Key messages
Most mothers are insufficiently physically active to gain the associated health benefits. Interventions to increase MVPA particularly need to target mothers of younger children and those with multiple children.
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Affiliation(s)
- RF Simpson
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - KR Hesketh
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - SR Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, Chilworth, Southampton, UK
| | - J Baird
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - KM Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - NC Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - K Westgate
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - HM Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - EMF van Sluijs
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
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21
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Murray R, Kitaba N, Antoun E, Titcombe P, Barton S, Cooper C, Inskip HM, Burdge GC, Mahon PA, Deanfield J, Halcox JP, Ellins EA, Bryant J, Peebles C, Lillycrop K, Godfrey KM, Hanson MA. Influence of Maternal Lifestyle and Diet on Perinatal DNA Methylation Signatures Associated With Childhood Arterial Stiffness at 8 to 9 Years. Hypertension 2021; 78:787-800. [PMID: 34275334 PMCID: PMC8357051 DOI: 10.1161/hypertensionaha.121.17396] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Supplemental Digital Content is available in the text. Increases in aortic pulse wave velocity, a measure of arterial stiffness, can lead to elevated systolic blood pressure and increased cardiac afterload in adulthood. These changes are detectable in childhood and potentially originate in utero, where an adverse early life environment can alter DNA methylation patterns detectable at birth. Here, analysis of epigenome-wide methylation patterns using umbilical cord blood DNA from 470 participants in the Southampton’s Women’s Survey identified differential methylation patterns associated with systolic blood pressure, pulse pressure, arterial distensibility, and descending aorta pulse wave velocity measured by magnetic resonance imaging at 8 to 9 years. Perinatal methylation levels at 16 CpG loci were associated with descending aorta pulse wave velocity, with identified CpG sites enriched in pathways involved in DNA repair (P=9.03×10−11). The most significant association was with cg20793626 methylation (within protein phosphatase, Mg2+/Mn2+ dependent 1D; β=−0.05 m/s/1% methylation change, [95% CI, −0.09 to −0.02]). Genetic variation was also examined but had a minor influence on these observations. Eight pulse wave velocity-linked dmCpGs were associated with prenatal modifiable risk factors, with cg08509237 methylation (within palmitoyl-protein thioesterase-2) associated with maternal oily fish consumption in early and late pregnancy. Lower oily fish consumption in early pregnancy modified the relationship between methylation and pulse wave velocity, with lower consumption strengthening the association between cg08509237 methylation and increased pulse wave velocity. In conclusion, measurement of perinatal DNA methylation signatures has utility in identifying infants who might benefit from preventive interventions to reduce risk of later cardiovascular disease, and modifiable maternal factors can reduce this risk in the child.
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Affiliation(s)
- Robert Murray
- From the School of Human Development and Health, Institute of Developmental Sciences Building, Faculty of Medicine (R.M., N.K., E.A., G.C.B., K.M.G., M.A.H.), University of Southampton, United Kingdom
| | - Negusse Kitaba
- From the School of Human Development and Health, Institute of Developmental Sciences Building, Faculty of Medicine (R.M., N.K., E.A., G.C.B., K.M.G., M.A.H.), University of Southampton, United Kingdom
| | - Elie Antoun
- From the School of Human Development and Health, Institute of Developmental Sciences Building, Faculty of Medicine (R.M., N.K., E.A., G.C.B., K.M.G., M.A.H.), University of Southampton, United Kingdom.,Centre for Biological Sciences, Faculty of Natural and Environmental Sciences (E.A., K.L.), University of Southampton, United Kingdom
| | - Philip Titcombe
- MRC Lifecourse Epidemiology Unit (P.T., S.B., C.C., H.M.I., P.A.M., K.M.G.), University of Southampton, United Kingdom
| | - Sheila Barton
- MRC Lifecourse Epidemiology Unit (P.T., S.B., C.C., H.M.I., P.A.M., K.M.G.), University of Southampton, United Kingdom
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit (P.T., S.B., C.C., H.M.I., P.A.M., K.M.G.), University of Southampton, United Kingdom
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Unit (P.T., S.B., C.C., H.M.I., P.A.M., K.M.G.), University of Southampton, United Kingdom.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, United Kingdom (H.M.I., K.L., K.M.G., M.A.H.)
| | - Graham C Burdge
- From the School of Human Development and Health, Institute of Developmental Sciences Building, Faculty of Medicine (R.M., N.K., E.A., G.C.B., K.M.G., M.A.H.), University of Southampton, United Kingdom
| | - Pamela A Mahon
- MRC Lifecourse Epidemiology Unit (P.T., S.B., C.C., H.M.I., P.A.M., K.M.G.), University of Southampton, United Kingdom
| | - John Deanfield
- Institute of Cardiovascular Sciences, University College London, United Kingdom (J.D.)
| | - Julian P Halcox
- Swansea University Medical School, Swansea University, United Kingdom (J.P.H., E.A.E.)
| | - Elizabeth A Ellins
- Swansea University Medical School, Swansea University, United Kingdom (J.P.H., E.A.E.)
| | - Jennifer Bryant
- Department of Cardiac Magnetic Resonance Imaging, National Heart Centre Singapore (J.B.)
| | - Charles Peebles
- Wessex Cardiothoracic Centre, Southampton University Hospitals NHS Trust, United Kingdom (C.P.)
| | - Karen Lillycrop
- Centre for Biological Sciences, Faculty of Natural and Environmental Sciences (E.A., K.L.), University of Southampton, United Kingdom.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, United Kingdom (H.M.I., K.L., K.M.G., M.A.H.)
| | - Keith M Godfrey
- From the School of Human Development and Health, Institute of Developmental Sciences Building, Faculty of Medicine (R.M., N.K., E.A., G.C.B., K.M.G., M.A.H.), University of Southampton, United Kingdom.,MRC Lifecourse Epidemiology Unit (P.T., S.B., C.C., H.M.I., P.A.M., K.M.G.), University of Southampton, United Kingdom.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, United Kingdom (H.M.I., K.L., K.M.G., M.A.H.)
| | - Mark A Hanson
- From the School of Human Development and Health, Institute of Developmental Sciences Building, Faculty of Medicine (R.M., N.K., E.A., G.C.B., K.M.G., M.A.H.), University of Southampton, United Kingdom.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, United Kingdom (H.M.I., K.L., K.M.G., M.A.H.)
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22
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Jacob CM, Hardy-Johnson PL, Inskip HM, Morris T, Parsons CM, Barrett M, Hanson M, Woods-Townsend K, Baird J. A systematic review and meta-analysis of school-based interventions with health education to reduce body mass index in adolescents aged 10 to 19 years. Int J Behav Nutr Phys Act 2021; 18:1. [PMID: 33397403 PMCID: PMC7784329 DOI: 10.1186/s12966-020-01065-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 11/30/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Adolescents are increasingly susceptible to obesity, and thus at risk of later non-communicable diseases, due to changes in food choices, physical activity levels and exposure to an obesogenic environment. This review aimed to synthesize the literature investigating the effectiveness of health education interventions delivered in school settings to prevent overweight and obesity and/ or reduce BMI in adolescents, and to explore the key features of effectiveness. METHODS A systematic search of electronic databases including MEDLINE, CINAHL, PsychINFO and ERIC for papers published from Jan 2006 was carried out in 2020, following PRISMA guidelines. Studies that evaluated health education interventions in 10-19-year-olds delivered in schools in high-income countries, with a control group and reported BMI/BMI z-score were selected. Three researchers screened titles and abstracts, conducted data extraction and assessed quality of the full text publications. A third of the papers from each set were cross-checked by another reviewer. A meta-analysis of a sub-set of studies was conducted for BMI z-score. RESULTS Thirty-three interventions based on 39 publications were included in the review. Most studies evaluated multi-component interventions using health education to improve behaviours related to diet, physical activity and body composition measures. Fourteen interventions were associated with reduced BMI/BMI z-score. Most interventions (n = 22) were delivered by teachers in classroom settings, 19 of which trained teachers before the intervention. The multi-component interventions (n = 26) included strategies such as environment modifications (n = 10), digital interventions (n = 15) and parent involvement (n = 16). Fourteen studies had a low risk of bias, followed by 10 with medium and nine with a high risk of bias. Fourteen studies were included in a random-effects meta-analysis for BMI z-score. The pooled estimate of this meta-analysis showed a small difference between intervention and control in change in BMI z-score (- 0.06 [95% CI -0.10, - 0.03]). A funnel plot indicated that some degree of publication bias was operating, and hence the effect size might be inflated. CONCLUSIONS Findings from our review suggest that school-based health education interventions have the public health potential to lower BMI towards a healthier range in adolescents. Multi-component interventions involving key stakeholders such as teachers and parents and digital components are a promising strategy.
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Affiliation(s)
- Chandni Maria Jacob
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, UK.
- Institute of Developmental Sciences, Faculty of Medicine, Southampton General Hospital, University of Southampton, Mail point 887, Tremona Road, Southampton, SO16 6YD, UK.
| | - Polly Louise Hardy-Johnson
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Level two, room 306, Tremona Road, Southampton, SO16 6YD, UK.
| | - Hazel M Inskip
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Level two, room 306, Tremona Road, Southampton, SO16 6YD, UK
| | - Taylor Morris
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Level two, room 306, Tremona Road, Southampton, SO16 6YD, UK
| | - Camille M Parsons
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Level two, room 306, Tremona Road, Southampton, SO16 6YD, UK
| | - Millie Barrett
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Level two, room 306, Tremona Road, Southampton, SO16 6YD, UK
| | - Mark Hanson
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, UK
- Institute of Developmental Sciences, Faculty of Medicine, Southampton General Hospital, University of Southampton, Mail point 887, Tremona Road, Southampton, SO16 6YD, UK
| | - Kathryn Woods-Townsend
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, UK
- Southampton Education School, Faculty of Social Sciences, University of Southampton, Southampton, UK
| | - Janis Baird
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Level two, room 306, Tremona Road, Southampton, SO16 6YD, UK
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23
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Woolford SJ, Curtis EM, D'Angelo S, Mahon P, Cooke L, Cleal JK, Crozier SR, Godfrey KM, Inskip HM, Cooper C, Harvey NC. Placental volume at 11 weeks is associated with offspring bone mass at birth and in later childhood: Findings from the Southampton Women's Survey. Placenta 2020; 99:101-107. [PMID: 32784052 PMCID: PMC7116131 DOI: 10.1016/j.placenta.2020.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 07/14/2020] [Accepted: 07/16/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES To investigate associations between placental volume (PV) at 11 weeks' gestation and offspring bone outcomes at birth, 6 years and 8 years. METHODS 3D ultrasound scanning was used to assess 11 week PV in a subset (n = 236) of the Southampton Women's Survey (a prospective mother-offspring cohort). Maternal anthropometric measures and lifestyle information were obtained pre-pregnancy and at 11 weeks' gestation. Offspring dual-energy x-ray absorptiometry scanning was performed within 2 weeks postnatally and at 6 and 8 years. Linear regression was used to assess associations between PV and bone outcomes, adjusting for offspring age at DXA and sex, and maternal age, height, smoking status, walking speed and triceps skinfold thickness. β are SD change in bone outcome per SD change in PV. RESULTS In adjusted models, 11 week PV was positively associated with bone area (BA) at all time points, with evidence of persisting associations with increasing childhood age (birth: n = 80, β = 0.23 [95%CI = 0.03, 0.42], 6 years: n = 110, β = 0.17 [-0.01, 0.36], 8 years: n = 85, β = 0.13 [-0.09, 0.36]). Similar associations between 11 week PV and bone mineral content (BMC) were observed. Associations with size-corrected bone mineral content were weaker at birth but strengthened in later childhood (birth: n = 78, β = 0.07 [-0.21, 0.35], 6 years: n = 107, β = 0.13 [-0.08, 0.34], 8 years: n = 71, β = 0.19 [-0.05, 0.43]). CONCLUSIONS 11 week PV is associated with DXA bone measures at birth, with evidence of persisting associations into later childhood. Further work is required to elucidate the contributions of placental morphology and function to gestational influences on skeletal development.
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Affiliation(s)
- S J Woolford
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E M Curtis
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - S D'Angelo
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - P Mahon
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - L Cooke
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
| | - J K Cleal
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
| | - S R Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - K M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - H M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
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24
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Curtis EM, Moon RJ, D'Angelo S, Crozier SR, Bishop NJ, Gopal- Kothandapani S, Kennedy S, Papageorghiou AT, Fraser R, Gandhi SV, Schoenmakers I, Prentice A, Inskip HM, Godfrey KM, Javaid K, Eastell R, Cooper C, Harvey NC. O13 Pregnancy vitamin D supplementation leads to greater offspring bone mineral density at 4 years: the MAVIDOS randomised placebo controlled trial. Rheumatology (Oxford) 2020. [DOI: 10.1093/rheumatology/keaa110.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Observational studies have demonstrated associations between maternal gestational vitamin D status and offspring bone health. We have recently shown, in a randomised controlled trial, that pregnancy vitamin D supplementation leads to improved offspring bone mass at birth amongst winter deliveries (when background 25(OH)-vitamin D levels are lowest). In the present analysis, we aimed to evaluate whether the beneficial effect of pregnancy vitamin D supplementation on neonatal bone mass is sustained into early childhood, with bone indices assessed at age 4 years in a subset of participants of the MAVIDOS trial.
Methods
Pregnant women were randomised in Southampton, Oxford and Sheffield, in a double-blind design, to 1000 IU/day cholecalciferol or matched placebo from 14 weeks’ gestation to birth. At 4 years of age (Southampton participants only, n = 723 births), offspring assessments included anthropometry, whole-body dual-energy x-ray absorptiometry (DXA) [Hologic Horizon, yielding whole body less head (WBLH) bone mineral content (BMC), bone mineral density (BMD), bone area (BA) and lean mass (LM)], and a maternal questionnaire. Linear regression was used to estimate the mean difference (represented by β) in outcomes between the two randomisation arms, adjusted for sex and age at DXA. Further models were additionally adjusted for gestational age, maternal BMI, and child’s sedentary time. All outcomes were standardised to a standard deviation scale, for ease of comparison. Full ethics and MHRA approvals were granted.
Results
564 children attended the 4-year visit; 452 had a useable DXA with minimal movement artefact. Maternal pregnancy vitamin D supplementation led to greater offspring indices of bone mass compared with placebo, irrespective of season. For example, WBLH BMD at age 4 years was greater in the offspring of supplemented mothers [β = 0.18 SD (95%CI: 0.00, 0.35), p = 0.047]; there was also evidence of greater LM in the intervention group [β = 0.15 SD (95%CI: -0.02, 0.31), p = 0.081]. In fully adjusted models associations were consistent for lumbar spine indices and for BA and BMC. In keeping with the offspring findings, maternal vitamin D supplementation led to significantly higher maternal plasma 25(OH)D concentrations in late pregnancy (34 weeks’ gestation): placebo group (median(IQR)): 42.4 nmol/l (23.3, 56.4); vitamin D group: 67.4 nmol/l (56.2, 80.3); p < 0.001.
Conclusion
This is the first ever demonstration in a large placebo-controlled, double-blind randomised controlled trial that maternal pregnancy vitamin D supplementation leads to improved bone and lean mass in children. Our findings suggest that maternal cholecalciferol supplementation may have lasting benefits for offspring musculoskeletal health and thus represent an important public health message. This work was supported by grants from Versus Arthritis 17702, Medical Research Council (MRC #405050259; #U105960371), Bupa Foundation, NIHR Southampton Biomedical Research Centre (BRC), University of Southampton, and NIHR Oxford BRC, University of Oxford. EC was supported by the Wellcome Trust (#201268/Z/16/Z).
Disclosures
E.M. Curtis None. R.J. Moon None. S. D'Angelo None. S.R. Crozier None. N.J. Bishop None. S. Gopal- Kothandapani None. S. Kennedy None. A.T. Papageorghiou None. R. Fraser None. S.V. Gandhi None. I. Schoenmakers None. A. Prentice None. H.M. Inskip None. K.M. Godfrey None. K. Javaid None. R. Eastell None. C. Cooper None. N.C. Harvey None.
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Affiliation(s)
- Elizabeth M Curtis
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UNITED KINGDOM
| | - Rebecca J Moon
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UNITED KINGDOM
| | - Stefania D'Angelo
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UNITED KINGDOM
| | - Sarah R Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UNITED KINGDOM
| | - Nicholas J Bishop
- Academic Unit of Child Health, Sheffield Children's Hospital, Sheffield, UNITED KINGDOM
| | | | - Stephen Kennedy
- Nuffield Department of Womens & Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, UNITED KINGDOM
| | - Aris T Papageorghiou
- Nuffield Department of Womens & Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, UNITED KINGDOM
| | - Robert Fraser
- Department of Obstetrics and Gynaecology, Sheffield Hospitals NHS Trust, University of Sheffield, Sheffield, UNITED KINGDOM
| | - Saurabh V Gandhi
- Department of Obstetrics and Gynaecology, Sheffield Hospitals NHS Trust, University of Sheffield, Sheffield, UNITED KINGDOM
| | - Inez Schoenmakers
- Department of Medicine, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UNITED KINGDOM
| | - Ann Prentice
- MRC Nutrition and Bone Health, University of Cambridge, Cambridge, UNITED KINGDOM
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UNITED KINGDOM
| | - Keith M Godfrey
- NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, UNITED KINGDOM
| | - Kassim Javaid
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UNITED KINGDOM
| | - Richard Eastell
- Academic Unit of Bone Metabolism, University of Sheffield, Sheffield, UNITED KINGDOM
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UNITED KINGDOM
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UNITED KINGDOM
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25
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Lokulo-Sodipe O, Ballard L, Child J, Inskip HM, Byrne CD, Ishida M, Moore GE, Wakeling EL, Fenwick A, Mackay DJG, Davies JH, Temple IK. Phenotype of genetically confirmed Silver-Russell syndrome beyond childhood. J Med Genet 2020; 57:683-691. [PMID: 32054688 PMCID: PMC7525777 DOI: 10.1136/jmedgenet-2019-106561] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 01/06/2020] [Accepted: 01/09/2020] [Indexed: 01/24/2023]
Abstract
BACKGROUND Silver-Russell syndrome is an imprinting disorder that restricts growth, resulting in short adult stature that may be ameliorated by treatment. Approximately 50% of patients have loss of methylation of the imprinting control region (H19/IGF2:IG-DMR) on 11p15.5 and 5%-10% have maternal uniparental disomy of chromosome 7. Most published research focuses on the childhood phenotype. Our aim was to describe the phenotypic characteristics of older patients with SRS. METHODS A retrospective cohort of 33 individuals with a confirmed molecular diagnosis of SRS aged 13 years or above were carefully phenotyped. RESULTS The median age of the cohort was 29.6 years; 60.6% had a height SD score (SDS) ≤-2 SDS despite 70% having received growth hormone treatment. Relative macrocephaly, feeding difficulties and a facial appearance typical of children with SRS were no longer discriminatory diagnostic features. In those aged ≥18 years, impaired glucose tolerance in 25%, hypertension in 33% and hypercholesterolaemia in 52% were noted. While 9/33 accessed special education support, university degrees were completed in 40.0% (>21 years). There was no significant correlation between quality of life and height SDS. 9/25 were parents and none of the 17 offsprings had SRS. CONCLUSION Historical treatment regimens for SRS were not sufficient for normal adult growth and further research to optimise treatment is justified. Clinical childhood diagnostic scoring systems are not applicable to patients presenting in adulthood and SRS diagnosis requires molecular confirmation. Metabolic ill-health warrants further investigation but SRS is compatible with a normal quality of life including normal fertility in many cases.
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Affiliation(s)
- Oluwakemi Lokulo-Sodipe
- Human Development and Health, Faculty of Medicine University of Southampton, Southampton, UK.,Department of Paediatric Endocrinology, University Hospital Southampton NHS Foundations Trust, Southampton, UK
| | - Lisa Ballard
- Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK
| | - Jenny Child
- Child Growth Foundation, Sutton Coldfield, Birmingham, UK
| | - Hazel M Inskip
- MRC Epidemiology Unit, University of Southampton Faculty of Medicine, Southampton, UK
| | - Christopher D Byrne
- Human Development and Health, Faculty of Medicine University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Miho Ishida
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Gudrun E Moore
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Emma L Wakeling
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Angela Fenwick
- Clinical Ethics and Law at Southampton (CELS), Faculty of Medicine University of Southampton, Southampton, UK
| | - Deborah J G Mackay
- Human Development and Health, Faculty of Medicine University of Southampton, Southampton, UK.,Wessex Regional Genetics Laboratory, Salisbury Hospital NHS Foundation Trust, Salisbury, Wiltshire, UK
| | - Justin Huw Davies
- Human Development and Health, Faculty of Medicine University of Southampton, Southampton, UK.,Department of Paediatric Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - I Karen Temple
- Human Development and Health, Faculty of Medicine University of Southampton, Southampton, UK .,Wessex Clinical Genetics Service, University Hospital Southampton NHS Foundation Trust, Southampton, UK
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26
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Crozier SR, Godfrey KM, Calder PC, Robinson SM, Inskip HM, Baird J, Gale CR, Cooper C, Sibbons CM, Fisk HL, Burdge GC. Vegetarian Diet during Pregnancy Is Not Associated with Poorer Cognitive Performance in Children at Age 6-7 Years. Nutrients 2019; 11:nu11123029. [PMID: 31835868 PMCID: PMC6949927 DOI: 10.3390/nu11123029] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 12/05/2019] [Accepted: 12/10/2019] [Indexed: 12/26/2022] Open
Abstract
Compared with omnivorous mothers, vegetarian mothers have lower intakes of some nutrients required for neurological development. However, there is a lack of information about the impact of vegetarianism during pregnancy on subsequent cognitive function in children. The aim of this study was to investigate whether vegetarianism during pregnancy is associated with altered maternal nutritional status and with cognitive function in children at six to seven years of age. Women aged 20–34 years participating in a prospective observational study who provided dietary data and blood samples in early pregnancy (11 weeks; 78 vegetarians and 2144 omnivores) or late pregnancy (34 weeks; 91 vegetarians and 2552 omnivores). Compared with omnivorous women, vegetarian women had lower blood concentrations of arachidonic acid, docosahexaenoic acid, and cobalamin in early and late pregnancy. Vegetarianism in pregnancy was linked to higher maternal educational attainment, longer breastfeeding duration, lower incidence of smoking during pregnancy and a tendency towards higher IQ in the mothers. Concentrations of some nutrients required for neurodevelopment were lower in maternal blood during gestation; however, after controlling for confounders consuming a vegetarian diet during pregnancy was not associated with poorer neurocognitive development of the children in this study.
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Affiliation(s)
- Sarah R. Crozier
- MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton SO16 6YD, UK
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton SO16 6YD, UK
| | - Philip C. Calder
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton SO16 6YD, UK
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
| | - Sian M. Robinson
- AGE Research Group, Newcastle University, Newcastle upon Tyne NE4 5PL, UK
- NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne NE4 5PL, UK
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton SO16 6YD, UK
| | - Janis Baird
- MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton SO16 6YD, UK
| | - Catharine R. Gale
- MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton SO16 6YD, UK
- Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh EH8 9AZ, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton SO16 6YD, UK
| | - Charlene M. Sibbons
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
| | - Helena L. Fisk
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
| | - Graham C. Burdge
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
- Correspondence: ; Tel.: +44-(0)23-812-05259
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Jacob CM, Lawrence WT, Inskip HM, McAuliffe FM, Killeen SL, Hanson M. Do the concepts of "life course approach" and "developmental origins of health and disease" underpin current maternity care? Study protocol. Int J Gynaecol Obstet 2019; 147:140-146. [PMID: 31571230 DOI: 10.1002/ijgo.12955] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 08/09/2019] [Accepted: 08/29/2019] [Indexed: 01/03/2023]
Abstract
OBJECTIVE To explore the knowledge of Developmental Origins of Health and Disease (DOHaD) concepts among midwives and obstetricians and to identify barriers and facilitators for clinicians to engage women and their partners before or early in pregnancy on risk factors associated with DOHaD, and thus to embed the concept of DOHaD in routine clinical practice. METHODS A qualitative study using semi-structured interviews will be conducted in Ghana, India, Pakistan, Brazil, the UK, and USA in collaboration with the International Confederation of Midwives and the International Federation of Obstetricians and Gynecologists. Participants will be contacted via email and telephone interviews will be conducted until data saturation followed by inductive thematic analysis. RESULTS Findings from this exploratory study will provide new knowledge about the perspectives of midwives and obstetricians on DOHaD and their role in preventing the intergenerational passage of non-communicable disease (NCD) risk and improving preconception care. CONCLUSION This study will help us understand the current use of DOHaD principles in international maternity care and how this can be improved. Bringing DOHaD to clinical practice will help healthcare practitioners adopt a long-term approach in the prevention of NCDs and childhood obesity and will help women to enter pregnancy in optimum health.
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Affiliation(s)
- Chandni Maria Jacob
- Institute of Developmental Sciences, University of Southampton, Southampton, UK.,Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton, UK
| | - Wendy T Lawrence
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton, UK.,Medical Research Council Lifecourse Epidemiology Unit, Southampton University Hospital, Southampton, UK
| | - Hazel M Inskip
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton, UK.,Medical Research Council Lifecourse Epidemiology Unit, Southampton University Hospital, Southampton, UK
| | - Fionnuala M McAuliffe
- Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - Sarah Louise Killeen
- Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - Mark Hanson
- Institute of Developmental Sciences, University of Southampton, Southampton, UK.,Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton, UK
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28
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Warrington NM, Beaumont RN, Horikoshi M, Day FR, Helgeland Ø, Laurin C, Bacelis J, Peng S, Hao K, Feenstra B, Wood AR, Mahajan A, Tyrrell J, Robertson NR, Rayner NW, Qiao Z, Moen GH, Vaudel M, Marsit CJ, Chen J, Nodzenski M, Schnurr TM, Zafarmand MH, Bradfield JP, Grarup N, Kooijman MN, Li-Gao R, Geller F, Ahluwalia TS, Paternoster L, Rueedi R, Huikari V, Hottenga JJ, Lyytikäinen LP, Cavadino A, Metrustry S, Cousminer DL, Wu Y, Thiering E, Wang CA, Have CT, Vilor-Tejedor N, Joshi PK, Painter JN, Ntalla I, Myhre R, Pitkänen N, van Leeuwen EM, Joro R, Lagou V, Richmond RC, Espinosa A, Barton SJ, Inskip HM, Holloway JW, Santa-Marina L, Estivill X, Ang W, Marsh JA, Reichetzeder C, Marullo L, Hocher B, Lunetta KL, Murabito JM, Relton CL, Kogevinas M, Chatzi L, Allard C, Bouchard L, Hivert MF, Zhang G, Muglia LJ, Heikkinen J, Morgen CS, van Kampen AHC, van Schaik BDC, Mentch FD, Langenberg C, Luan J, Scott RA, Zhao JH, Hemani G, Ring SM, Bennett AJ, Gaulton KJ, Fernandez-Tajes J, van Zuydam NR, Medina-Gomez C, de Haan HG, Rosendaal FR, Kutalik Z, Marques-Vidal P, Das S, Willemsen G, Mbarek H, Müller-Nurasyid M, Standl M, Appel EVR, Fonvig CE, Trier C, van Beijsterveldt CEM, Murcia M, Bustamante M, Bonas-Guarch S, Hougaard DM, Mercader JM, Linneberg A, Schraut KE, Lind PA, Medland SE, Shields BM, Knight BA, Chai JF, Panoutsopoulou K, Bartels M, Sánchez F, Stokholm J, Torrents D, Vinding RK, Willems SM, Atalay M, Chawes BL, Kovacs P, Prokopenko I, Tuke MA, Yaghootkar H, Ruth KS, Jones SE, Loh PR, Murray A, Weedon MN, Tönjes A, Stumvoll M, Michaelsen KF, Eloranta AM, Lakka TA, van Duijn CM, Kiess W, Körner A, Niinikoski H, Pahkala K, Raitakari OT, Jacobsson B, Zeggini E, Dedoussis GV, Teo YY, Saw SM, Montgomery GW, Campbell H, Wilson JF, Vrijkotte TGM, Vrijheid M, de Geus EJCN, Hayes MG, Kadarmideen HN, Holm JC, Beilin LJ, Pennell CE, Heinrich J, Adair LS, Borja JB, Mohlke KL, Eriksson JG, Widén EE, Hattersley AT, Spector TD, Kähönen M, Viikari JS, Lehtimäki T, Boomsma DI, Sebert S, Vollenweider P, Sørensen TIA, Bisgaard H, Bønnelykke K, Murray JC, Melbye M, Nohr EA, Mook-Kanamori DO, Rivadeneira F, Hofman A, Felix JF, Jaddoe VWV, Hansen T, Pisinger C, Vaag AA, Pedersen O, Uitterlinden AG, Järvelin MR, Power C, Hyppönen E, Scholtens DM, Lowe WL, Davey Smith G, Timpson NJ, Morris AP, Wareham NJ, Hakonarson H, Grant SFA, Frayling TM, Lawlor DA, Njølstad PR, Johansson S, Ong KK, McCarthy MI, Perry JRB, Evans DM, Freathy RM. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors. Nat Genet 2019; 51:804-814. [PMID: 31043758 PMCID: PMC6522365 DOI: 10.1038/s41588-019-0403-1] [Citation(s) in RCA: 290] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 03/26/2019] [Indexed: 12/21/2022]
Abstract
Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.
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Affiliation(s)
- Nicole M Warrington
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Robin N Beaumont
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Momoko Horikoshi
- RIKEN Centre for Integrative Medical Sciences, Laboratory for Endocrinology, Metabolism and Kidney Diseases, Yokohama, Japan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Felix R Day
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Øyvind Helgeland
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Charles Laurin
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jonas Bacelis
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital Östra, Gothenburg, Sweden
| | - Shouneng Peng
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - Andrew R Wood
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Jessica Tyrrell
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
- European Centre for Environment and Human Health, University of Exeter, Truro, UK
| | - Neil R Robertson
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - N William Rayner
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Sanger Institute, Hinxton, UK
| | - Zhen Qiao
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Gunn-Helen Moen
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Marc Vaudel
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael Nodzenski
- Department of Preventive Medicine, Division of Biostatistics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Theresia M Schnurr
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mohammad H Zafarmand
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Jonathan P Bradfield
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Quantinuum Research, San Diego, CA, USA
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marjolein N Kooijman
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - Tarunveer S Ahluwalia
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Lavinia Paternoster
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Ville Huikari
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Alana Cavadino
- Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Sarah Metrustry
- Department of Twin Research, King's College London, St. Thomas' Hospital, London, UK
| | - Diana L Cousminer
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ying Wu
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - Carol A Wang
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, New South Wales, Australia
| | - Christian T Have
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Natalia Vilor-Tejedor
- Center for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
- Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Peter K Joshi
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Jodie N Painter
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, Queensland, Australia
| | - Ioanna Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Ronny Myhre
- Department of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Niina Pitkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Elisabeth M van Leeuwen
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Raimo Joro
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Vasiliki Lagou
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Neuroscience, Katholieke Universiteit Leuven, Leuven, Belgium
- VIB Center for Brain and Disease Research, Leuven, Belgium
| | - Rebecca C Richmond
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ana Espinosa
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Sheila J Barton
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Hazel M Inskip
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - John W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Loreto Santa-Marina
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Subdirección de Salud Pública y Adicciones de Gipuzkoa, San Sebastián, Spain
- Instituto de Investigación Sanitaria Biodonostia, San Sebastián, Spain
| | - Xavier Estivill
- Sidra Medicine Research Department, Sidra Medicine, Doha, Qatar
- Genomics Unit, Dexeus Woman's Health, Barcelona, Spain
| | - Wei Ang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - Julie A Marsh
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | | | - Letizia Marullo
- Department of Life Sciences and Biotechnology, Genetic Section, University of Ferrara, Ferrara, Italy
| | - Berthold Hocher
- Fifth Department of Medicine, University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany
- Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, China
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Joanne M Murabito
- Framingham Heart Study, Framingham, MA, USA
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Caroline L Relton
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Manolis Kogevinas
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Catherine Allard
- Centre de recherche, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Luigi Bouchard
- Centre de recherche, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
- ECOGENE-21 and Lipid Clinic, Chicoutimi Hospital, Saguenay, Quebec, Canada
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
- Diabetes Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Universite de Sherbrooke, Sherbooke, Quebec, Canada
| | - Ge Zhang
- Human Genetics Division, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
| | - Louis J Muglia
- Human Genetics Division, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
| | - Jani Heikkinen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Camilla S Morgen
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Antoine H C van Kampen
- Bioinformatics Laboratory, Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands
| | - Barbera D C van Schaik
- Bioinformatics Laboratory, Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Frank D Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Gibran Hemani
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Susan M Ring
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Amanda J Bennett
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Kyle J Gaulton
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | | | - Natalie R van Zuydam
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Carolina Medina-Gomez
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Hugoline G de Haan
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Zoltán Kutalik
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Shikta Das
- Medical Research Council Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Sciences, University College London, London, UK
| | - Gonneke Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - Hamdi Mbarek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
- Department of Internal Medicine I (Cardiology), Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
- Division of Genetic Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Emil V R Appel
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cilius E Fonvig
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
- Hans Christian Andersen Children's Hospital, Odense University Hospital, Odense, Denmark
| | - Caecilie Trier
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | | | - Mario Murcia
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- FISABIO-Universitat Jaume I-Universitat de València, Joint Research Unit of Epidemiology and Environmental Health, Valencia, Spain
| | - Mariona Bustamante
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
| | - Sílvia Bonas-Guarch
- Joint BSC-CGR-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain
| | - David M Hougaard
- Danish Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Josep M Mercader
- Joint BSC-CGR-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
| | - Katharina E Schraut
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Penelope A Lind
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, Queensland, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, Queensland, Australia
| | - Beverley M Shields
- NIHR Exeter Clinical Research Facility, University of Exeter College of Medicine and Health and Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Bridget A Knight
- NIHR Exeter Clinical Research Facility, University of Exeter College of Medicine and Health and Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Jin-Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
| | | | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - Friman Sánchez
- Joint BSC-CGR-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain
- Computer Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain
| | - Jakob Stokholm
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - David Torrents
- Joint BSC-CGR-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | - Rebecca K Vinding
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Sara M Willems
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Mustafa Atalay
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Bo L Chawes
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Peter Kovacs
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Inga Prokopenko
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Section of Genomics of Common Disease, Department of Medicine, Imperial College London, London, UK
| | - Marcus A Tuke
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Hanieh Yaghootkar
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Katherine S Ruth
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Samuel E Jones
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Po-Ru Loh
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Anna Murray
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Michael N Weedon
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Anke Tönjes
- Medical Department, University of Leipzig, Leipzig, Germany
| | - Michael Stumvoll
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Medical Department, University of Leipzig, Leipzig, Germany
| | - Kim F Michaelsen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Aino-Maija Eloranta
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Wieland Kiess
- Pediatric Research Center, Department of Women's andChild Health, University of Leipzig, Leipzig, Germany
| | - Antje Körner
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Pediatric Research Center, Department of Women's andChild Health, University of Leipzig, Leipzig, Germany
| | - Harri Niinikoski
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Department of Physiology, University of Turku, Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Paavo Nurmi Centre, Sports and Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Bo Jacobsson
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital Östra, Gothenburg, Sweden
| | - Eleftheria Zeggini
- Wellcome Sanger Institute, Hinxton, UK
- Institute of Translational Genomics, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - George V Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
| | - Grant W Montgomery
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, Queensland, Australia
| | - Harry Campbell
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - James F Wilson
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Tanja G M Vrijkotte
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Martine Vrijheid
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
| | - Eco J C N de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - M Geoffrey Hayes
- Department of Medicine, Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Haja N Kadarmideen
- Quantitative and Systems Genomics Group, Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
| | - Jens-Christian Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - Lawrence J Beilin
- School of Medicine, Royal Perth Hospital, University of Western Australia, Perth, Western Australia, Australia
| | - Craig E Pennell
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, New South Wales, Australia
| | - Joachim Heinrich
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational Social and Environmental Medicine, Inner City Clinic, University Hospital Munich, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Linda S Adair
- Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA
| | - Judith B Borja
- USC-Office of Population Studies Foundation, University of San Carlos, Cebu City, Philippines
- Department of Nutrition and Dietetics, University of San Carlos, Cebu City, Philippines
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Johan G Eriksson
- National Institute for Health and Welfare, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Elisabeth E Widén
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
- NIHR Exeter Clinical Research Facility, University of Exeter College of Medicine and Health and Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Tim D Spector
- Department of Twin Research, King's College London, St. Thomas' Hospital, London, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jorma S Viikari
- Division of Medicine, Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Sylvain Sebert
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Genomics of Complex Diseases, Imperial College London, London, UK
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Thorkild I A Sørensen
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Klaus Bønnelykke
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Jeffrey C Murray
- Department of Pediatrics, University of Iowa, Iowa City, IA, USA
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
- Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Fernando Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Charlotta Pisinger
- Research Center for Prevention and Health, Center for Sundhed, Rigshospitalet Glostrup, Copenhagen University, Glostrup, Denmark
| | - Allan A Vaag
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
- Cardiovascular, Renal and Metabolism, Translational Medicine Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - André G Uitterlinden
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Christine Power
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Elina Hyppönen
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - William L Lowe
- Department of Medicine, Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Nicholas J Timpson
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Andrew P Morris
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Biostatistics, University of Liverpool, Liverpool, UK
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Struan F A Grant
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Timothy M Frayling
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Debbie A Lawlor
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Pål R Njølstad
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Stefan Johansson
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Ken K Ong
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - John R B Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - David M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia.
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Rachel M Freathy
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK.
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
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29
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Lillycrop KA, Garratt ES, Titcombe P, Melton PE, Murray RJS, Barton SJ, Clarke-Harris R, Costello PM, Holbrook JD, Hopkins JC, Childs CE, Paras-Chavez C, Calder PC, Mori TA, Beilin L, Burdge GC, Gluckman PD, Inskip HM, Harvey NC, Hanson MA, Huang RC, Cooper C, Godfrey KM. Differential SLC6A4 methylation: a predictive epigenetic marker of adiposity from birth to adulthood. Int J Obes (Lond) 2019; 43:974-988. [PMID: 30622309 PMCID: PMC6522375 DOI: 10.1038/s41366-018-0254-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 08/21/2018] [Accepted: 08/26/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND The early life environment may influence susceptibility to obesity and metabolic disease in later life through epigenetic processes. SLC6A4 is an important mediator of serotonin bioavailability, and has a key role in energy balance. We tested the hypothesis that methylation of the SLC6A4 gene predicts adiposity across the life course. METHODS DNA methylation at 5 CpGs within the SLC6A4 gene identified from a previous methyl binding domain array was measured by pyrosequencing. We measured DNA methylation in umbilical cord (UC) from children in the Southampton Women's Survey cohort (n = 680), in peripheral blood from adolescents in the Western Australian Pregnancy Cohort Study (n = 812), and in adipose tissue from lean and obese adults from the UK BIOCLAIMS cohort (n = 81). Real-time PCR was performed to assess whether there were corresponding alterations in gene expression in the adipose tissue. RESULTS Lower UC methylation of CpG5 was associated with higher total fat mass at 4 years (p = 0.031), total fat mass at 6-7 years (p = 0.0001) and % fat mass at 6-7 years (p = 0.004). Lower UC methylation of CpG5 was also associated with higher triceps skinfold thickness at birth (p = 0.013), 6 months (p = 0.038), 12 months (p = 0.062), 2 years (p = 0.0003), 3 years (p = 0.00004) and 6-7 years (p = 0.013). Higher maternal pregnancy weight gain (p = 0.046) and lower parity (p = 0.029) were both associated with lower SLC6A4 CpG5 methylation. In adolescents, lower methylation of CpG5 in peripheral blood was associated with greater concurrent measures of adiposity including BMI (p ≤ 0.001), waist circumference (p = 0.011), subcutaneous fat (p ≤ 0.001) and subscapular, abdominal and suprailiac skinfold thicknesses (p = 0.002, p = 0.008, p = 0.004, respectively). In adipose tissue, methylation of both SLC6A4 CpG5 (p = 0.019) and expression of SLC6A4 (p = 0.008) was lower in obese compared with lean adults. CONCLUSIONS These data suggest that altered methylation of CpG loci within SLC6A4 may provide a robust marker of adiposity across the life course.
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Affiliation(s)
- Karen A Lillycrop
- Centre for Biological Sciences, Faculty of Natural and Environmental Sciences, University of Southampton, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
| | - Emma S Garratt
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Philip Titcombe
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Phillip E Melton
- Centre for Genetics of Health and Disease, University of Western Australia, Perth, Australia
- Faculty of Health Science, Curtin University, Perth, WA, Australia
| | - Robert J S Murray
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Sheila J Barton
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Rebecca Clarke-Harris
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Paula M Costello
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Joanna D Holbrook
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - James C Hopkins
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Caroline E Childs
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Carolina Paras-Chavez
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Philip C Calder
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Trevor A Mori
- School of Medicine, University of Western Australia, Perth, WA, Australia
| | - Lawrie Beilin
- School of Medicine, University of Western Australia, Perth, WA, Australia
| | - Graham C Burdge
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Peter D Gluckman
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Hazel M Inskip
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Nicholas C Harvey
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Mark A Hanson
- Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, WA, Australia
| | - Cyrus Cooper
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Keith M Godfrey
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
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30
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Curtis EM, Parsons C, Maslin K, D’Angelo S, Moon RJ, Crozier SR, Gossiel F, Bishop NJ, Kennedy S, Papageorghiou AT, Fraser R, Gandhi S, Prentice A, Inskip HM, Godfrey KM, Schoenmakers I, Javaid MK, Eastell R, Cooper C, Harvey NC. O29 Bone turnover in pregnancy, measured by urinary C-terminal telopeptide of type I collagen (CTX), is influenced by vitamin D supplementation and is associated with maternal bone health: findings from the MAVIDOS trial. Rheumatology (Oxford) 2019. [DOI: 10.1093/rheumatology/kez105.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Elizabeth M Curtis
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Camille Parsons
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Kate Maslin
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Stefania D’Angelo
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Rebecca J Moon
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Sarah R Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Fatma Gossiel
- Academic Unit of Bone Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - Nicholas J Bishop
- Academic Unit of Child Health, University of Sheffield, Sheffield, United Kingdom
| | - Stephen Kennedy
- Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Aris T Papageorghiou
- Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Robert Fraser
- Department of Obstetrics and Gynaecology, University of Sheffield, Sheffield, United Kingdom
| | - Saurabh Gandhi
- Department of Obstetrics and Gynaecology, University of Sheffield, Sheffield, United Kingdom
| | - Ann Prentice
- MRC Elsie Widdowson Laboratory, Cambridge, Cambridge, United Kingdom
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Inez Schoenmakers
- Department of Medicine, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, United Kingdom
| | - M Kassim Javaid
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Richard Eastell
- Academic Unit of Bone Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
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31
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van Lee L, Crozier SR, Aris IM, Tint MT, Sadananthan SA, Michael N, Quah PL, Robinson SM, Inskip HM, Harvey NC, Barker M, Cooper C, Velan SS, Lee YS, Fortier MV, Yap F, Gluckman PD, Tan KH, Shek LP, Chong YS, Godfrey KM, Chong MFF. Prospective associations of maternal choline status with offspring body composition in the first 5 years of life in two large mother-offspring cohorts: the Southampton Women's Survey cohort and the Growing Up in Singapore Towards healthy Outcomes cohort. Int J Epidemiol 2019; 48:433-444. [PMID: 30649331 PMCID: PMC6751083 DOI: 10.1093/ije/dyy291] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2018] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Choline status has been positively associated with weight and fat mass in animal and human studies. As evidence examining maternal circulating choline concentrations and offspring body composition in human infants/children is lacking, we investigated this in two cohorts. METHODS Maternal choline concentrations were measured in the UK Southampton Women's Survey (SWS; serum, n = 985, 11 weeks' gestation) and Singapore Growing Up Towards healthy Outcomes (GUSTO); n = 955, 26-28 weeks' gestation) mother-offspring cohorts. Offspring anthropometry was measured at birth and up to age 5 years. Body fat mass was determined using dual-energy x-ray absorptiometry at birth and age 4 years for SWS; and using air-displacement plethysmography at birth and age 5 years for GUSTO. Linear-regression analyses were performed, adjusting for confounders. RESULTS In SWS, higher maternal choline concentrations were associated with higher neonatal total body fat mass {β = 0.60 standard deviation [SD]/5 µmol/L maternal choline [95% confidence interval (CI) 0.04-1.16]} and higher subscapular skinfold thickness [β = 0.55 mm/5 µmol/L (95% CI, 0.12-1.00)] at birth. In GUSTO, higher maternal choline concentrations were associated with higher neonatal body mass index-for-age z-score [β = 0.31 SD/5 µmol/L (0.10-0.51)] and higher triceps [β = 0.38 mm/5 µmol/L (95% CI, 0.11-0.65)] and subscapular skinfold thicknesses [β = 0.26 mm/5 µmol/L (95% CI, 0.01-0.50)] at birth. No consistent trends were observed between maternal choline and offspring gain in body mass index, skinfold thicknesses, abdominal circumference, weight, length/height and adiposity measures in later infancy and early childhood. CONCLUSION Our study provides evidence that maternal circulating choline concentrations during pregnancy are positively associated with offspring BMI, skinfold thicknesses and adiposity at birth, but not with growth and adiposity through infancy and early childhood to the age of 5 years.
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Affiliation(s)
- Linde van Lee
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
| | - Sarah R Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, United Kingdom
| | - Izzuddin M Aris
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mya T Tint
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
| | - Navin Michael
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
| | - Phaik Ling Quah
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
| | - Sian M Robinson
- MRC Lifecourse Epidemiology Unit, University of Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and Hospital Southampton NHS Foundation Trust, United Kingdom
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and Hospital Southampton NHS Foundation Trust, United Kingdom
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and Hospital Southampton NHS Foundation Trust, United Kingdom
| | - Mary Barker
- MRC Lifecourse Epidemiology Unit, University of Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and Hospital Southampton NHS Foundation Trust, United Kingdom
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and Hospital Southampton NHS Foundation Trust, United Kingdom
| | - Sendhil S Velan
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research, Singapore
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Khoo Teck Puat-National University Children’s Medical Institute, National University Health System, Singapore, Singapore
| | - Marielle V Fortier
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Department of Diagnostic and Interventional Imaging, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Fabian Yap
- Duke-NUS Medical School, Singapore, Nanyang Technological University, Singapore, Singapore
- Department of Pediatrics, KK Women’s and Children’s Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Liggings Institute, University of Auckland, New Zealand
| | - Kok Hian Tan
- Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Lynette P Shek
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and Hospital Southampton NHS Foundation Trust, United Kingdom
| | - Mary FF Chong
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
- Clinical Nutrition Research Centre, Agency for Science, Technology, and Research, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
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Pastorino S, Bishop T, Crozier SR, Granström C, Kordas K, Küpers LK, O'Brien EC, Polanska K, Sauder KA, Zafarmand MH, Wilson RC, Agyemang C, Burton PR, Cooper C, Corpeleijn E, Dabelea D, Hanke W, Inskip HM, McAuliffe FM, Olsen SF, Vrijkotte TG, Brage S, Kennedy A, O'Gorman D, Scherer P, Wijndaele K, Wareham NJ, Desoye G, Ong KK. Associations between maternal physical activity in early and late pregnancy and offspring birth size: remote federated individual level meta-analysis from eight cohort studies. BJOG 2019; 126:459-470. [PMID: 30230190 PMCID: PMC6330060 DOI: 10.1111/1471-0528.15476] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2018] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Evidence on the impact of leisure time physical activity (LTPA) in pregnancy on birth size is inconsistent. We aimed to examine the association between LTPA during early and late pregnancy and newborn anthropometric outcomes. DESIGN Individual level meta-analysis, which reduces heterogeneity across studies. SETTING A consortium of eight population-based studies (seven European and one US) comprising 72 694 participants. METHODS Generalised linear models with consistent inclusion of confounders (gestational age, sex, parity, maternal age, education, ethnicity, BMI, smoking, and alcohol intake) were used to test associations between self-reported LTPA at either early (8-18 weeks gestation) or late pregnancy (30+ weeks) and the outcomes. Results were pooled using random effects meta-analyses. MAIN OUTCOME MEASURES Birth weight, large-for-gestational age (LGA), macrosomia, small-for-gestational age (SGA), % body fat, and ponderal index at birth. RESULTS Late, but not early, gestation maternal moderate to vigorous physical activity (MVPA), vigorous activity, and LTPA energy expenditure were modestly inversely associated with BW, LGA, macrosomia, and ponderal index, without heterogeneity (all: I2 = 0%). For each extra hour/week of MVPA, RR for LGA and macrosomia were 0.97 (95% CI: 0.96, 0.98) and 0.96 (95% CI: 0.94, 0.98), respectively. Associations were only modestly reduced after additional adjustments for maternal BMI and gestational diabetes. No measure of LTPA was associated with risk for SGA. CONCLUSIONS Physical activity in late, but not early, pregnancy is consistently associated with modestly lower risk of LGA and macrosomia, but not SGA. TWEETABLE ABSTRACT In an individual participant meta-analysis, late pregnancy moderate to vigorous physical activity modestly reduced birth size outcomes.
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Affiliation(s)
- S Pastorino
- MRC Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - T Bishop
- MRC Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - SR Crozier
- MRC Lifecourse Epidemiology Unit (University of Southampton)Southampton General HospitalSouthamptonUK
| | - C Granström
- Department of Epidemiology ResearchCentre for Fetal ProgrammingState Serum InstituteCopenhagenDenmark
| | - K Kordas
- Epidemiology and Environmental HealthSchool of Public Health and Health ProfessionsUniversity at BuffaloBuffaloNYUSA
| | - LK Küpers
- Department of EpidemiologyUniversity Medical Center GroningenUniversity of GroningenGroningenthe Netherlands
- MRC Integrative Epidemiology UnitSchool of Social and Community MedicineUniversity of BristolBristolUK
| | - EC O'Brien
- Obstetrics & GynaecologyUCD Perinatal Research CentreSchool of MedicineUniversity College DublinNational Maternity HospitalDublinIreland
| | - K Polanska
- Department of Environmental EpidemiologyNofer Institute of Occupational MedicineLodzPoland
| | - KA Sauder
- Department of PediatricsUniversity of Colorado School of MedicineAuroraCOUSA
| | - MH Zafarmand
- Department of Public HealthAmsterdam Public Health Research Institute, Amsterdam UMCUniversity of AmsterdamAmsterdamthe Netherlands
- Department of Obstetrics & GynaecologyAmsterdam UMCUniversity of AmsterdamAmsterdamthe Netherlands
- Department of Clinical EpidemiologyBiostatistics and BioinformaticsAmsterdam Public Health Research InstituteAmsterdam UMCUniversity of Amsterdamthe Netherlands
| | - RC Wilson
- Institute of Health and SocietyNewcastle UniversityNewcastleUK
| | - C Agyemang
- Department of Public HealthAmsterdam Public Health Research Institute, Amsterdam UMCUniversity of AmsterdamAmsterdamthe Netherlands
| | - PR Burton
- Institute of Health and SocietyNewcastle UniversityNewcastleUK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit (University of Southampton)Southampton General HospitalSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity Hospital Southampton NHS Foundation Trust and University of SouthamptonSouthamptonUK
| | - E Corpeleijn
- Department of EpidemiologyUniversity Medical Center GroningenUniversity of GroningenGroningenthe Netherlands
| | - D Dabelea
- Department of EpidemiologyColorado School of Public HealthUniversity of Colorado Anschutz Medical CampusDenverCOUSA
| | - W Hanke
- Department of Environmental EpidemiologyNofer Institute of Occupational MedicineLodzPoland
| | - HM Inskip
- MRC Lifecourse Epidemiology Unit (University of Southampton)Southampton General HospitalSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity Hospital Southampton NHS Foundation Trust and University of SouthamptonSouthamptonUK
| | - FM McAuliffe
- Obstetrics & GynaecologyUCD Perinatal Research CentreSchool of MedicineUniversity College DublinNational Maternity HospitalDublinIreland
| | - SF Olsen
- Department of Epidemiology ResearchCentre for Fetal ProgrammingState Serum InstituteCopenhagenDenmark
| | - TG Vrijkotte
- Department of Public HealthAmsterdam Public Health Research Institute, Amsterdam UMCUniversity of AmsterdamAmsterdamthe Netherlands
| | - S Brage
- MRC Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - A Kennedy
- 3U Diabetes Consortium and School of Health and Human PerformanceDublin City UniversityDublinIreland
- School of Biological SciencesDublin Institute of TechnologyDublinIreland
| | - D O'Gorman
- NIHR Southampton Biomedical Research CentreUniversity Hospital Southampton NHS Foundation Trust and University of SouthamptonSouthamptonUK
| | - P Scherer
- MRC Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - K Wijndaele
- MRC Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - NJ Wareham
- MRC Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - G Desoye
- Department of Obstetrics & GynaecologyMedical University of GrazGrazAustria
| | - KK Ong
- MRC Epidemiology UnitUniversity of CambridgeCambridgeUK
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Hesketh KR, Brage S, Cooper C, Godfrey KM, Harvey NC, Inskip HM, Robinson SM, Van Sluijs EMF. The association between maternal-child physical activity levels at the transition to formal schooling: cross-sectional and prospective data from the Southampton Women's Survey. Int J Behav Nutr Phys Act 2019; 16:23. [PMID: 30786904 PMCID: PMC6381630 DOI: 10.1186/s12966-019-0782-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 02/01/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Physical activity decreases through childhood, adolescence and into adulthood: parents of young children are particularly inactive, potentially negatively impacting their children's activity levels. This study aimed to determine the association between objectively measured maternal and 6-year-old children's physical activity; explore how this association differed by demographic and temporal factors; and identify change during the transition to school (from age 4-6). METHODS Data were from the UK Southampton Women's Survey. Physical activity of 530 6-year-olds and their mothers was measured concurrently using accelerometry for ≤7 days. Cross-sectionally, two-level mixed-effects linear regression was used to model the association between maternal-child daily activity behaviour at age 6 [minutes sedentary (SED); in moderate-to-vigorous physical activity (MVPA)]. Interactions with demographic factors and time of the week were tested; how the association differed across the day was also explored. Change in the association between maternal-child physical activity (from age 4-6) was assessed in a subset (n = 170) [outcomes: SED, MVPA and light physical activity (LPA)]. RESULTS Mother-child daily activity levels were positively associated (SED: β = 0.23 [0.20, 0.26] minutes/day; MVPA: 0.53 [0.43, 0.64] minutes/day). The association was stronger at weekends (vs. weekdays) (interaction term: SED: βi = 0.07 [0.02, 0.12]; MVPA: 0.44 [0.24, 0.64]). For SED, the association was stronger for those children with older siblings (vs. none); for MVPA, a stronger association was observed for those who had both younger and older siblings (vs. none) and a weaker relationship existed in spring compared to winter. Longitudinally, the association between mother-child activity levels did not change for SED and LPA. At age 6 (vs. age 4) the association between mother-child MVPA was weaker across the whole day (βi: - 0.16 [- 0.31, - 0.01]), but remained similar at both ages between 3 and 11 pm. CONCLUSIONS More active mothers have more active 6-year-olds; this association was similar for boys and girls but differed by time of week, season and by age of siblings at home. Longitudinally, the association weakened for MVPA between 4 and 6 years, likely reflecting the differing activities children engage in during school hours and increased independence. Family-based physical activity remains an important element of children's activity behaviour regardless of age. This could be exploited in interventions to increase physical activity within families.
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Affiliation(s)
| | - Soren Brage
- CEDAR and MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Nicholas C. Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sian M. Robinson
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
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34
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Barton SJ, Murray R, Lillycrop KA, Inskip HM, Harvey NC, Cooper C, Karnani N, Zolezzi IS, Sprenger N, Godfrey KM, Binia A. FUT2 Genetic Variants and Reported Respiratory and Gastrointestinal Illnesses During Infancy. J Infect Dis 2019; 219:836-843. [PMID: 30376117 PMCID: PMC6687504 DOI: 10.1093/infdis/jiy582] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 10/25/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Fucosyltransferase 2 (FUT2) controls the production of digestive and respiratory epithelia of histo-blood group antigens involved in the attachment of pathogens. The aim of our study was to relate FUT2 variants to reported gastrointestinal and respiratory illnesses in infancy. METHODS In the Southampton Women's Survey, FUT2 genetic variants (single-nucleotide polymorphisms [SNPs] rs601338 and rs602662) were genotyped in 1831 infants and related to infant illnesses, after adjustment for sex, breastfeeding duration, and potential confounders. RESULTS For FUT2 SNP rs601338, the risk ratios for ≥1 bout of diarrhea during ages 6-12 months and ages 12-24 months per additional risk (G) allele were 1.23 (95% confidence interval [CI], 1.08-1.4; P = .002) and 1.41 (95% CI, 1.24-1.61; P = 1.7 × 10-7), respectively; the risk ratio for ≥1 diagnosis of a lower respiratory illness (ie, pneumonia or bronchiolitis) during ages 12-24 months per additional G allele was 2.66 (95% CI, 1.64-4.3; P = .00007). Similar associations were found between rs602662 and gastrointestinal and respiratory illnesses, owing to the high linkage disequilibrium with rs601338 (R2 = 0.92). Longer breastfeeding duration predicted a lower risk of diarrhea, independent of infant FUT2 genotype. CONCLUSIONS We confirmed that FUT2 G alleles are associated with a higher risk of infant gastrointestinal illnesses and identified novel associations with respiratory illnesses. FUT2 locus variants need consideration in future studies of gastrointestinal and respiratory illnesses among infants.
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Affiliation(s)
| | - Robert Murray
- Human Development and Health Academic Unit, University of Southampton, UK
| | - Karen A. Lillycrop
- Human Development and Health Academic Unit, University of Southampton, UK
- School of Biological Sciences, University of Southampton, Southampton General Hospital, UK SO16 6YD
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore
| | | | | | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
- Human Development and Health Academic Unit, University of Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - Aristea Binia
- Nestlé Research Center, Lausanne, Nestec S.A., Switzerland
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35
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Crozier SR, Johnson W, Cole TJ, Macdonald-Wallis C, Muniz-Terrera G, Inskip HM, Tilling K. A discussion of statistical methods to characterise early growth and its impact on bone mineral content later in childhood. Ann Hum Biol 2019; 46:17-26. [PMID: 30719940 PMCID: PMC6518455 DOI: 10.1080/03014460.2019.1574896] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 11/22/2018] [Accepted: 12/31/2018] [Indexed: 11/22/2022]
Abstract
BACKGROUND Many statistical methods are available to model longitudinal growth data and relate derived summary measures to later outcomes. AIM To apply and compare commonly used methods to a realistic scenario including pre- and postnatal data, missing data, and confounders. SUBJECTS AND METHODS Data were collected from 753 offspring in the Southampton Women's Survey with measurements of bone mineral content (BMC) at age 6 years. Ultrasound measures included crown-rump length (11 weeks' gestation) and femur length (19 and 34 weeks' gestation); postnatally, infant length (birth, 6 and 12 months) and height (2 and 3 years) were measured. A residual growth model, two-stage multilevel linear spline model, joint multilevel linear spline model, SITAR and a growth mixture model were used to relate growth to 6-year BMC. RESULTS Results from the residual growth, two-stage and joint multilevel linear spline models were most comparable: an increase in length at all ages was positively associated with BMC, the strongest association being with later growth. Both SITAR and the growth mixture model demonstrated that length was positively associated with BMC. CONCLUSIONS Similarities and differences in results from a variety of analytic strategies need to be understood in the context of each statistical methodology.
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Affiliation(s)
- Sarah R. Crozier
- MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, UK
| | - William Johnson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire, UK
| | - Tim J. Cole
- Population, Policy and Practice Programme, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Corrie Macdonald-Wallis
- MRC Integrative Epidemiology Unit, Oakfield House, University of Bristol, Bristol, UK
- Department of Population Health Sciences, Oakfield House, Bristol, UK
| | | | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, UK
| | - Kate Tilling
- MRC Integrative Epidemiology Unit, Oakfield House, University of Bristol, Bristol, UK
- Department of Population Health Sciences, Oakfield House, Bristol, UK
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36
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Curtis EM, Krstic N, Cook E, D'Angelo S, Crozier SR, Moon RJ, Murray R, Garratt E, Costello P, Cleal J, Ashley B, Bishop NJ, Kennedy S, Papageorghiou AT, Schoenmakers I, Fraser R, Gandhi SV, Prentice A, Javaid MK, Inskip HM, Godfrey KM, Bell CG, Lillycrop KA, Cooper C, Harvey NC. Gestational Vitamin D Supplementation Leads to Reduced Perinatal RXRA DNA Methylation: Results From the MAVIDOS Trial. J Bone Miner Res 2019; 34:231-240. [PMID: 30321476 PMCID: PMC6372078 DOI: 10.1002/jbmr.3603] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 10/10/2018] [Accepted: 10/06/2018] [Indexed: 11/20/2022]
Abstract
We have previously demonstrated inverse associations between maternal 25(OH)-vitamin D status and perinatal DNA methylation at the retinoid-X-receptor-alpha (RXRA) locus and between RXRA methylation and offspring bone mass. In this study, we used an existing randomized trial to test the hypothesis that maternal gestational vitamin D supplementation would lead to reduced perinatal RXRA locus DNA methylation. The Maternal Vitamin D Osteoporosis Study (MAVIDOS) was a multicenter, double-blind, randomized, placebo-controlled trial of 1000 IU/day cholecalciferol or matched placebo from 14 weeks' gestation until delivery. Umbilical cord (fetal) tissue was collected at birth and frozen at -80°C (n = 453). Pyrosequencing was used to undertake DNA methylation analysis at 10 CpG sites within the RXRA locus (identified previously). T tests were used to assess differences between treatment groups in methylation at the three most representative CpG sites. Overall, methylation levels were significantly lower in the umbilical cord from offspring of cholecalciferol-supplemented mothers, reaching statistical significance at four CpG sites, represented by CpG5: mean difference in % methylation between the supplemented and placebo groups was -1.98% (95% CI, -3.65 to -0.32, p = 0.02). ENCODE (Encyclopedia of DNA Elements) evidence supports the functionality of this locus with strong DNase hypersensitivity and enhancer chromatin within biologically relevant cell types including osteoblasts. Enrichment of the enhancer-related H3K4me1 histone mark is also seen in this region, as are binding sites for a range of transcription factors with roles in cell proliferation, response to stress, and growth factors. Our findings are consistent with previous observational results and provide new evidence that maternal gestational supplementation with cholecalciferol leads to altered perinatal epigenetic marking, informing mechanistic understanding of early life mechanisms related to maternal vitamin D status, epigenetic marks, and bone development. © 2018 The Authors. Journal of Bone and Mineral Research Published by Wiley Periodicals Inc.
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Affiliation(s)
| | - Nevena Krstic
- Institute of Developmental SciencesUniversity of SouthamptonUK
| | - Eloïse Cook
- Institute of Developmental SciencesUniversity of SouthamptonUK
| | | | | | - Rebecca J Moon
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonUK
- Paediatric EndocrinologyUniversity Hospitals Southampton NHS Foundation TrustSouthamptonUK
| | - Robert Murray
- Institute of Developmental SciencesUniversity of SouthamptonUK
| | - Emma Garratt
- Institute of Developmental SciencesUniversity of SouthamptonUK
| | - Paula Costello
- Institute of Developmental SciencesUniversity of SouthamptonUK
| | - Jane Cleal
- Institute of Developmental SciencesUniversity of SouthamptonUK
| | - Brogan Ashley
- Institute of Developmental SciencesUniversity of SouthamptonUK
| | - Nicholas J Bishop
- Academic Unit of Child HealthSheffield Children's HospitalUniversity of SheffieldSheffieldUK
| | - Stephen Kennedy
- Nuffield Department of Obstetrics and GynaecologyJohn Radcliffe HospitalUniversity of OxfordOxfordUK
| | - Aris T Papageorghiou
- Nuffield Department of Obstetrics and GynaecologyJohn Radcliffe HospitalUniversity of OxfordOxfordUK
| | - Inez Schoenmakers
- MRC Elsie Widdowson LaboratoryCambridgeUK
- Department of MedicineFaculty of Medicine and Health SciencesUniversity of East AngliaNorwichUK
| | - Robert Fraser
- Sheffield Hospitals NHS Trust(University of Sheffield)SheffieldUK
| | - Saurabh V Gandhi
- Sheffield Hospitals NHS Trust(University of Sheffield)SheffieldUK
| | | | - M Kassim Javaid
- NIHR Oxford Biomedical Research CentreUniversity of OxfordOxfordUK
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Christopher G Bell
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonUK
- Institute of Developmental SciencesUniversity of SouthamptonUK
| | | | - Cyrus Cooper
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonUK
- NIHR Oxford Biomedical Research CentreUniversity of OxfordOxfordUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
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37
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Beaumont RN, Warrington NM, Cavadino A, Tyrrell J, Nodzenski M, Horikoshi M, Geller F, Myhre R, Richmond RC, Paternoster L, Bradfield JP, Kreiner-Møller E, Huikari V, Metrustry S, Lunetta KL, Painter JN, Hottenga JJ, Allard C, Barton SJ, Espinosa A, Marsh JA, Potter C, Zhang G, Ang W, Berry DJ, Bouchard L, Das S, Hakonarson H, Heikkinen J, Helgeland Ø, Hocher B, Hofman A, Inskip HM, Jones SE, Kogevinas M, Lind PA, Marullo L, Medland SE, Murray A, Murray JC, Njølstad PR, Nohr EA, Reichetzeder C, Ring SM, Ruth KS, Santa-Marina L, Scholtens DM, Sebert S, Sengpiel V, Tuke MA, Vaudel M, Weedon MN, Willemsen G, Wood AR, Yaghootkar H, Muglia LJ, Bartels M, Relton CL, Pennell CE, Chatzi L, Estivill X, Holloway JW, Boomsma DI, Montgomery GW, Murabito JM, Spector TD, Power C, Järvelin MR, Bisgaard H, Grant SFA, Sørensen TIA, Jaddoe VW, Jacobsson B, Melbye M, McCarthy MI, Hattersley AT, Hayes MG, Frayling TM, Hivert MF, Felix JF, Hyppönen E, Lowe WL, Evans DM, Lawlor DA, Feenstra B, Freathy RM. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics. Hum Mol Genet 2019; 27:742-756. [PMID: 29309628 PMCID: PMC5886200 DOI: 10.1093/hmg/ddx429] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Accepted: 12/15/2017] [Indexed: 12/22/2022] Open
Abstract
Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother–child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P < 5 × 10−8. In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights.
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Affiliation(s)
- Robin N Beaumont
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK
| | - Nicole M Warrington
- Translational Research Institute, University of Queensland Diamantina Institute, Brisbane, QLD, Australia
| | - Alana Cavadino
- Centre for Environmental and Preventive Medicine, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Jessica Tyrrell
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK.,European Centre for Environment and Human Health, University of Exeter, The Knowledge Spa, Truro TR1 3HD, UK
| | - Michael Nodzenski
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Momoko Horikoshi
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Ronny Myhre
- Division of Epidemiology, Department of Genes and Environment, Norwegian Institute of Public Health, Oslo, Norway
| | - Rebecca C Richmond
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Population Health Science, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Lavinia Paternoster
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Jonathan P Bradfield
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Eskil Kreiner-Møller
- Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.,Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Denmark
| | - Ville Huikari
- Institute of Health Sciences, University of Oulu, Oulu, Finland
| | - Sarah Metrustry
- Department of Twin Research, King's College London, St. Thomas' Hospital, London, UK
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,Framingham Heart Study, Framingham, MA, USA
| | - Jodie N Painter
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Herston, QLD 4029, Australia
| | - Jouke-Jan Hottenga
- EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.,Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Catherine Allard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - Sheila J Barton
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Ana Espinosa
- Pompeu Fabra University (UPF), Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - Julie A Marsh
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Australia
| | - Catherine Potter
- Institute of Genetic Medicine, Newcastle University, Central Parkway, Newcastle upon Tyne NE1 3BZ, UK
| | - Ge Zhang
- Human Genetics Division, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, OH, USA.,March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
| | - Wei Ang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Australia
| | - Diane J Berry
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Luigi Bouchard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada.,ECOGENE-21 and Lipid Clinic, Chicoutimi Hospital, Saguenay, QC, Canada.,Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Shikta Das
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | | | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jani Heikkinen
- FIMM Institute for Molecular Medicine Finland, Helsinki University, Helsinki FI-00014, Finland
| | - Øyvind Helgeland
- Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Bergen, Norway.,Department of Genetics and Bioinformatics, Domain of Health Data and Digitalisation, Institute of Public Health, Oslo, Norway
| | - Berthold Hocher
- The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.,Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Hazel M Inskip
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Samuel E Jones
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK
| | - Manolis Kogevinas
- Pompeu Fabra University (UPF), Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - Penelope A Lind
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Herston, QLD 4029, Australia
| | - Letizia Marullo
- Genetic Section, Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Herston, QLD 4029, Australia
| | - Anna Murray
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK
| | - Jeffrey C Murray
- Department of Pediatrics, University of Iowa, Iowa City, IA, USA
| | - Pål R Njølstad
- Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Bergen, Norway.,Department of Pediatrics, Haukeland University Hospital, Bergen 5021, Norway
| | - Ellen A Nohr
- Research Unit of Obstetrics & Gynecology, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Christoph Reichetzeder
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany.,Center for Cardiovascular Research, Charité, Berlin, Germany
| | - Susan M Ring
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Population Health Science, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Katherine S Ruth
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK
| | - Loreto Santa-Marina
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,Subdirección de Salud Pública y Adicciones de Gipuzkoa, Donostia/San Sebastián, Spain.,Instituto de Investigación Sanitaria BIODONOSTIA, Donostia/San Sebastián, Spain
| | - Denise M Scholtens
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sylvain Sebert
- Institute of Health Sciences, University of Oulu, Oulu, Finland.,Department of Epidemiology and Biostatistics, School of Public Health, Medical Research Council-Health Protection Agency Centre for Environment and Health, Faculty of Medicine, Imperial College London, London, UK
| | - Verena Sengpiel
- Department of Obstetrics and Gynecology, Sahlgrenska Academy, Sahgrenska University Hospital, Gothenburg, Sweden
| | - Marcus A Tuke
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK
| | - Marc Vaudel
- Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Bergen, Norway
| | - Michael N Weedon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK
| | - Gonneke Willemsen
- EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.,Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Andrew R Wood
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK
| | - Hanieh Yaghootkar
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK
| | - Louis J Muglia
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, OH, USA.,March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
| | - Meike Bartels
- EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.,Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Caroline L Relton
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Population Health Science, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Institute of Genetic Medicine, Newcastle University, Central Parkway, Newcastle upon Tyne NE1 3BZ, UK
| | - Craig E Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Australia
| | - Leda Chatzi
- Department of Social Medicine, University of Crete, Crete, Greece
| | - Xavier Estivill
- Pompeu Fabra University (UPF), Barcelona, Spain.,ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - John W Holloway
- Human Development & Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Dorret I Boomsma
- EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.,Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Grant W Montgomery
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Herston, QLD 4029, Australia
| | - Joanne M Murabito
- Framingham Heart Study, Framingham, MA, USA.,Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Tim D Spector
- Department of Twin Research, King's College London, St. Thomas' Hospital, London, UK
| | - Christine Power
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Marjo-Ritta Järvelin
- Institute of Health Sciences, University of Oulu, Oulu, Finland.,Department of Epidemiology and Biostatistics, School of Public Health, Medical Research Council-Health Protection Agency Centre for Environment and Health, Faculty of Medicine, Imperial College London, London, UK.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Unit of Primary Care, Oulu University Hospital, FI-90220 Oulu, 90029 OYS, Finland.,Department of Children and Young People and Families, National Institute for Health and Welfare, FI-90101 Oulu, Finland
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.,Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Denmark
| | - Struan F A Grant
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thorkild I A Sørensen
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Vincent W Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Bo Jacobsson
- Division of Epidemiology, Department of Genes and Environment, Norwegian Institute of Public Health, Oslo, Norway.,Department of Obstetrics and Gynecology, Sahlgrenska Academy, Sahgrenska University Hospital, Gothenburg, Sweden
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.,Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.,Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK
| | - M Geoffrey Hayes
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Timothy M Frayling
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA.,Diabetes Center, Massachussetts General Hospital, Boston, MA, USA.,Department of Medicine, Universite de Sherbrooke, QC, Canada
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Elina Hyppönen
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.,Centre for School of Population Health Research, School of Health Sciences, and Sansom Institute, University of South Australia, Adelaide, Australia.,South Australian Health and Medical Research Institute, Adelaide, Australia
| | - William L Lowe
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - David M Evans
- Translational Research Institute, University of Queensland Diamantina Institute, Brisbane, QLD, Australia.,Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Population Health Science, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Debbie A Lawlor
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Population Health Science, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Rachel M Freathy
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter EX2 5DW, UK.,Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
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El-Heis S, Crozier SR, Healy E, Robinson SM, Harvey NC, Cooper C, Inskip HM, Baird J, Godfrey KM. Faltering of prenatal growth precedes the development of atopic eczema in infancy: cohort study. Clin Epidemiol 2018; 10:1851-1864. [PMID: 30588116 PMCID: PMC6296686 DOI: 10.2147/clep.s175878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Infants with atopic eczema have an increased risk of impaired growth, but the origin of this impairment is unclear. The aim of this study was to examine fetal and infant growth in relation to infantile atopic eczema. Methods Within the UK Southampton Women's Survey, 1,759 infants with known maternal menstrual data had anthropometric measurements at 11, 19, and 34 weeks' gestation, birth, and ages 6 and 12 months, enabling derivation of growth velocity SD scores. Infantile atopic eczema at ages 6 and/or 12 months was ascertained using modified UK Working Party diagnostic criteria. Results Expressed per SD increase, higher femur length and abdominal circumference at 34 weeks' gestation were associated with decreased risks of atopic eczema (eczema OR/SD increase 0.81 [95% CI 0.69-0.96], P=0.017 and 0.78 [95% CI 0.65-0.93], P=0.006, respectively), while every SD increase in head to abdominal circumference ratio (indicating disproportionate growth) was associated with an increase in risk of atopic eczema (1.37 [1.15-1.63], P=0.001). Lower velocities of linear growth from 11 weeks' gestation to birth and birth to age 6 months were associated with atopic eczema (atopic eczema OR/SD increase 0.80 [0.65-0.98], P=0.034 and 0.8 [1 0.66-1.00], P=0.051, respectively). Infants with atopic eczema at age 12 months had a larger head circumference in early gestation and faltering of abdominal growth velocity from 19 to 34 weeks' gestation (atopic eczema OR/SD increase 0.67 [0.51-0.88], P=0.003). Conclusion Infants with atopic eczema demonstrate altered patterns of fetal growth, including faltering of linear growth in utero, prior to the clinical onset of atopic eczema. These findings suggest growth falters prior to the start of clinical atopic eczema and its treatment.
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Affiliation(s)
- Sarah El-Heis
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK,
| | - Sarah R Crozier
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK,
| | - Eugene Healy
- Dermatopharmacology, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Sian M Robinson
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK, .,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK,
| | - Nicholas C Harvey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK, .,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK,
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK, .,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK, .,NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - Hazel M Inskip
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK, .,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK,
| | - Janis Baird
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK, .,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK,
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK, .,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK, .,Institute of Developmental Sciences, University of Southampton, Southampton, UK,
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39
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Ireland A, Crozier SR, Heazell AEP, Ward KA, Godfrey KM, Inskip HM, Cooper C, Harvey NC. Breech presentation is associated with lower bone mass and area: findings from the Southampton Women's Survey. Osteoporos Int 2018; 29:2275-2281. [PMID: 30003305 PMCID: PMC6173302 DOI: 10.1007/s00198-018-4626-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Accepted: 06/27/2018] [Indexed: 02/01/2023]
Abstract
UNLABELLED We compared bone outcomes in children with breech and cephalic presentation at delivery. Neonatal whole-body bone mineral content (BMC) and area were lower in children with breech presentation. At 4 years, no differences in whole-body or spine measures were found, but hip BMC and area were lower after breech presentation. INTRODUCTION Breech presentation is associated with altered joint shape and hip dysplasias, but effects on bone mineral content (BMC), area (BA) and density (BMD) are unknown. METHODS In the prospective Southampton Women's Survey mother-offspring cohort, whole-body bone outcomes were measured using dual-energy X-ray absorptiometry (DXA) in 1430 offspring, as neonates (mean age 6 days, n = 965, 39 with a breech presentation at birth) and/or at age 4.1 years (n = 999, 39 breech). Hip and spine bone outcomes were also measured at age 4 years. RESULTS Neonates with breech presentation had 4.2 g lower whole-body BMC (95% CI -7.4 to - 0.9 g, P = 0.012) and 5.9 cm2 lower BA (- 10.8 to - 1.0 cm2, P = 0.019), but BMD was similar between groups (mean difference - 0.007, - 0.016 to 0.002 g/cm2, P = 0.146) adjusting for sex, maternal smoking, gestational diabetes, mode of delivery, social class, parity, ethnicity, age at scan, birthweight, gestational age and crown-heel length. There were no associations between breech presentation and whole-body outcomes at age 4 years, but, in similarly adjusted models, regional DXA (not available in infants) showed that breech presentation was associated with lower hip BMC (- 0.51, - 0.98 to - 0.04 g, P = 0.034) and BA (- 0.67, - 1.28 to - 0.07 cm2, P = 0.03) but not with BMD (- 0.009, - 0.029 to 0.012 g, P = 0.408), or spine outcomes. CONCLUSIONS These results suggest that breech presentation is associated with lower neonatal whole-body BMC and BA, which may relate to altered prenatal loading in babies occupying a breech position; these differences did not persist into later childhood. Modest differences in 4-year hip BMC and BA require further investigation.
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Affiliation(s)
- A Ireland
- School of Healthcare Science, Manchester Metropolitan University, Manchester, UK
| | - S R Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - A E P Heazell
- Division of Developmental Biology and Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - K A Ward
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - K M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - H M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
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40
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Sletner L, Mahon P, Crozier SR, Inskip HM, Godfrey KM, Chiesa S, Bhowruth DJ, Charakida M, Deanfield J, Cooper C, Hanson M. Childhood Fat and Lean Mass: Differing Relations to Vascular Structure and Function at Age 8 to 9 Years. Arterioscler Thromb Vasc Biol 2018; 38:2528-2537. [PMID: 30354210 PMCID: PMC6248304 DOI: 10.1161/atvbaha.118.311455] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Objective- Childhood body mass index (BMI) has been related to vascular structure and function. However, little is known about the differing contributions of fat and lean mass to this relationship. Our objectives were to relate the fat and lean mass (bone excluded) components of BMI (fat mass index and lean mass index; mass [kg]/height [m]2) to vascular measures in prepubertal children. Approach and Results- In the UK Southampton Women's Survey mother-offspring cohort, 983 children had dual x-ray absorptiometry and vascular measurements at 8 to 9 years. Using linear regression analyses, we found that most vascular measures were related to BMI, but fat and lean mass contributed differently. Systolic blood pressure was positively associated with both fat mass index (β=0.91 [95% CI, 0.52-1.30] mm Hg) and lean mass index (β=2.16 [95% CI, 1.47-2.85] mm Hg), whereas pulse rate was positively associated with fat mass index (β=0.93 [95% CI, 0.48-1.38] b/min) but negatively associated with lean mass index (β=-1.79 [95% CI, -2.59 to -0.99] b/min). The positive relation between BMI and carotid intima-media thickness was mainly due to a positive association with lean mass index (β=0.013 [95% CI, 0.008-0.019] mm). Carotid-femoral pulse wave velocity, but not carotid-radial pulse wave velocity, was positively associated with fat mass index (β=0.06 [95% CI, 0.03-0.09] m/s). For systolic blood pressure, carotid-femoral pulse wave velocity and reactive hyperemia significant interactions indicated that the association with fat mass depended on the amount of lean mass. Conclusions- In prepubertal children, differences in vascular structure and function in relation to BMI probably represent combinations of adverse effects of fat mass, adaptive effects of body size, and relatively protective effects of lean mass.
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Affiliation(s)
- Line Sletner
- Dept. of Pediatric and Adolescents Medicine, Akershus University Hospital, Lørenskog, Norway
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Pamela Mahon
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Sarah R. Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Hazel M. Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Scott Chiesa
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, London, UK
| | - Devina J. Bhowruth
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, London, UK
| | - Marietta Charakida
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, London, UK
| | - John Deanfield
- Vascular Physiology Unit, Institute of Cardiovascular Science, University College London, London, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Mark Hanson
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
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Stratakis N, Roumeliotaki T, Oken E, Ballester F, Barros H, Basterrechea M, Cordier S, de Groot R, den Dekker HT, Duijts L, Eggesbø M, Fantini MP, Forastiere F, Gehring U, Gielen M, Gori D, Govarts E, Inskip HM, Iszatt N, Jansen M, Kelleher C, Mehegan J, Moltó-Puigmartí C, Mommers M, Oliveira A, Olsen SF, Pelé F, Pizzi C, Porta D, Richiardi L, Rifas-Shiman SL, Robinson SM, Schoeters G, Strøm M, Sunyer J, Thijs C, Vrijheid M, Vrijkotte TGM, Wijga AH, Kogevinas M, Zeegers MP, Chatzi L. Fish and seafood consumption during pregnancy and the risk of asthma and allergic rhinitis in childhood: a pooled analysis of 18 European and US birth cohorts. Int J Epidemiol 2018; 46:1465-1477. [PMID: 28338907 DOI: 10.1093/ije/dyx007] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/09/2017] [Indexed: 12/27/2022] Open
Abstract
Background It has been suggested that prenatal exposure to n-3 long-chain fatty acids protects against asthma and other allergy-related diseases later in childhood. The extent to which fish intake in pregnancy protects against child asthma and rhinitis symptoms remains unclear. We aimed to assess whether fish and seafood consumption in pregnancy is associated with childhood wheeze, asthma and allergic rhinitis. Methods We pooled individual data from 60 774 mother-child pairs participating in 18 European and US birth cohort studies. Information on wheeze, asthma and allergic rhinitis prevalence was collected using validated questionnaires. The time periods of interest were: infancy (0-2 years), preschool age (3-4 years), and school age (5-8 years). We used multivariable generalized models to assess associations of fish and seafood (other than fish) consumption during pregnancy with child respiratory outcomes in cohort-specific analyses, with subsequent random-effects meta-analyses. Results The median fish consumption during pregnancy ranged from 0.44 times/week in The Netherlands to 4.46 times/week in Spain. Maternal fish intake during pregnancy was not associated with offspring wheeze symptoms in any age group nor with the risk of child asthma [adjusted meta-analysis relative risk (RR) per 1-time/week = 1.01, 95% confidence interval 0.97-1.05)] and allergic rhinitis at school age (RR = 1.01, 0.99-1.03). These results were consistently found in further analyses by type of fish and seafood consumption and in sensitivity analyses. Conclusion We found no evidence supporting a protective association of fish and seafood consumption during pregnancy with offspring symptoms of wheeze, asthma and allergic rhinitis from infancy to mid childhood.
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Affiliation(s)
- Nikos Stratakis
- Department of Social Medicine, University of Crete, Heraklion, Greece.,NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | | | - Emily Oken
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Ferran Ballester
- Spanish Consortium for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,FISABIO-Universitat Jaume I-Universitat de València Joint Research Unit of Epidemiology and Environmental Health, Valencia, Spain
| | - Henrique Barros
- Department of Clinical Epidemiology, University of Porto Medical School, Porto, Portugal.,EPIUnit - Institute of Public Health, University of Porto, Porto, Portugal
| | - Mikel Basterrechea
- Spanish Consortium for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Public Health Division of Gipuzkoa, Basque Government, San Sebastián, Spain
| | - Sylvaine Cordier
- Epidemiological Research in Environment, Reproduction and Child Development, University of Rennes I, Rennes, France
| | - Renate de Groot
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.,Welten Institute, Open University of the Netherlands, Heerlen, The Netherlands
| | - Herman T den Dekker
- Generation R Study Group, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Liesbeth Duijts
- Generation R Study Group, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | | | - Maria Pia Fantini
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | | | - Ulrike Gehring
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Marij Gielen
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Davide Gori
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Eva Govarts
- Environmental Risk and Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Hazel M Inskip
- Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Nina Iszatt
- Norwegian Institute of Public Health, Oslo, Norway
| | - Maria Jansen
- CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands.,Academic Collaborative Center for Public Health Limburg, Public Health Services, Geleen, The Netherlands
| | - Cecily Kelleher
- Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - John Mehegan
- Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Carolina Moltó-Puigmartí
- CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
| | - Monique Mommers
- CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
| | - Andreia Oliveira
- Department of Clinical Epidemiology, University of Porto Medical School, Porto, Portugal.,EPIUnit - Institute of Public Health, University of Porto, Porto, Portugal
| | - Sjurdur F Olsen
- Centre for Fetal Programming, Statens Serum Institut, Copenhagen, Denmark.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Fabienne Pelé
- Epidemiological Research in Environment, Reproduction and Child Development, University of Rennes I, Rennes, France
| | - Costanza Pizzi
- Cancer Epidemiology Unit, University of Turin and CPO-Piemonte, Turin, Italy
| | - Daniela Porta
- Department of Epidemiology, Lazio Regional Health System, Rome, Italy
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, University of Turin and CPO-Piemonte, Turin, Italy
| | - Sheryl L Rifas-Shiman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Sian M Robinson
- Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,National Institute for Health Research (NIHR), University of Southampton and University Hospital, Southampton, UK
| | - Greet Schoeters
- Environmental Risk and Health, Flemish Institute for Technological Research (VITO), Mol, Belgium.,Department of BiomedicalSciences, University of Antwerp, Antwerp, Belgium.,Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark
| | - Marin Strøm
- Centre for Fetal Programming, Statens Serum Institut, Copenhagen, Denmark.,Faculty of Natural and Health Sciences, University of the Faroe Islands, Tórshavn, Faroe Islands
| | - Jordi Sunyer
- Spanish Consortium for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,Department of Preventive Medicine and Public Health, Pompeu Fabra University, Barcelona, Spain
| | - Carel Thijs
- CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
| | - Martine Vrijheid
- Spanish Consortium for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,Department of Preventive Medicine and Public Health, Pompeu Fabra University, Barcelona, Spain
| | - Tanja G M Vrijkotte
- Department of Public Health, University of Amsterdam, Amsterdam, The Netherlands
| | - Alet H Wijga
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Manolis Kogevinas
- Spanish Consortium for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.,ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,IMIM Hospital del Mar Medicine Research Institute, Barcelona, Spain
| | - Maurice P Zeegers
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.,CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
| | - Leda Chatzi
- Department of Social Medicine, University of Crete, Heraklion, Greece.,NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
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42
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Hirschmugl B, Crozier S, Matthews N, Kitzinger E, Klymiuk I, Inskip HM, Harvey NC, Cooper C, Sibley CP, Glazier J, Wadsack C, Godfrey KM, Desoye G, Lewis RM. Relation of placental alkaline phosphatase expression in human term placenta with maternal and offspring fat mass. Int J Obes (Lond) 2018; 42:1202-1210. [PMID: 29899523 PMCID: PMC6173293 DOI: 10.1038/s41366-018-0136-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 04/24/2018] [Accepted: 05/09/2018] [Indexed: 11/09/2022]
Abstract
INTRODUCTION Alkaline phosphatase is implicated in intestinal lipid transport and in the development of obesity. Placental alkaline phosphatase is localised to the microvillous plasma membrane of the placental syncytiotrophoblast at the maternal-fetal interface, but its role is unclear. We investigated the relations of placental alkaline phosphatase activity and mRNA expression with maternal body composition and offspring fat mass in humans. METHODS Term human placentas from the UK Birthright cohort (n = 52) and the Southampton Women's Survey (SWS) (n = 95) were studied. In the Birthright cohort, alkaline phosphatase activity was measured in placental microvillous plasma membrane vesicles. In the SWS, alkaline phosphatase mRNA was measured using Nanostring. Alkaline phosphatase gene expression was compared to other lipid-related genes. RESULTS In Birthright samples placental microvillous plasma membrane alkaline phosphatase activity was positively associated with maternal triceps skinfold thickness and BMI (β = 0.04 (95% CI: 0.01-0.06) and β = 0.02 (0.00-0.03) µmol/mg protein/min per SD, P = 0.002 and P = 0.05, respectively) after adjusting for potential confounders. In SWS samples placental alkaline phosphatase mRNA expression in term placenta was positively associated with maternal triceps skinfold (β = 0.24 (0.04, 0.44) SD/SD, P = 0.02), had no association with neonatal %fat mass (β = 0.01 (-0.20 to 0.21) SD/SD, P = 0.93) and was negatively correlated with %fat mass at ages 4 (β = -0.28 (-0.52 to -0.04) SD/SD, P = 0.02), 6-7 (β = -0.25 (-0.49 to -0.02) SD/SD, P = 0.03) years. When compared with placental expression of other genes, alkaline phosphatase expression was positively related to genes including the lysophosphatidylcholine transporter MFSD2A (major facilitator superfamily domain containing 2A, P < 0.001) and negatively related to genes including the fatty acid transport proteins 2 and 3 (P = 0.001, P < 0.001). CONCLUSIONS Our findings suggest relationships between placental alkaline phosphatase and both maternal and childhood adiposity. The inverse relationship between placental alkaline phosphatase gene expression and childhood %fat mass suggests that placental alkaline phosphatase may help to protect the foetus from the adverse effects of maternal obesity.
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Affiliation(s)
- Birgit Hirschmugl
- Department of Obstetrics and Gynaecology, Medical University of Graz, Graz, Austria
- BioTechMed-Graz, Graz, Austria
| | - Sarah Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Nina Matthews
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Eva Kitzinger
- Department of Obstetrics and Gynaecology, Medical University of Graz, Graz, Austria
| | - Ingeborg Klymiuk
- Core Facility Molecular Biology, Centre for Medical Research, Medical University of Graz, Graz, Austria
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Colin P Sibley
- Maternal and Fetal Health Research Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK
| | - Jocelyn Glazier
- Maternal and Fetal Health Research Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK
| | - Christian Wadsack
- Department of Obstetrics and Gynaecology, Medical University of Graz, Graz, Austria
- BioTechMed-Graz, Graz, Austria
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Gernot Desoye
- Department of Obstetrics and Gynaecology, Medical University of Graz, Graz, Austria
| | - Rohan M Lewis
- Faculty of Medicine, University of Southampton, Southampton, UK.
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43
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Robinson SM, Crozier SR, Miles EA, Gale CR, Calder PC, Cooper C, Inskip HM, Godfrey KM. Preconception Maternal Iodine Status Is Positively Associated with IQ but Not with Measures of Executive Function in Childhood. J Nutr 2018; 148:959-966. [PMID: 29767745 PMCID: PMC5991217 DOI: 10.1093/jn/nxy054] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Accepted: 02/26/2018] [Indexed: 12/30/2022] Open
Abstract
Background Adverse effects of severe maternal iodine deficiency in pregnancy on fetal brain development are well-established, but the effects of milder deficiency are uncertain. Most studies examine iodine status in pregnancy; less is known about iodine nutrition before conception. Objective We examined relations between maternal preconception iodine status and offspring cognitive function, within a prospective mother-offspring cohort. Methods Maternal iodine status was assessed through the use of the ratio of iodine:creatinine concentrations (I/Cr) in spot urine samples [median (IQR) period before conception 3.3 y (2.2-4.7 y)]. Childhood cognitive function was assessed at age 6-7 y. Full-scale IQ was assessed via the Wechsler Abbreviated Scale of Intelligence, and executive function through the use of tests from the Cambridge Neuropsychological Test Automated Battery (CANTAB). Analyses (n = 654 mother-child dyads) were adjusted for potential confounders including maternal intelligence, education, and breastfeeding duration. Results The median (IQR) urinary iodine concentration was 108.4 µg/L (62.2-167.8 µg/L) and the I/Cr ratio 114 µg/g (76-164 µg/g). The preconception I/Cr ratio was positively associated with child IQ, before and after adjustment for potential confounding influences [β = 0.13 (95% CI: 0.04, 0.21)/SD, P = 0.003]. 8.9% of women had a preconception urinary I/Cr ratio <50 µg/g; compared with those with an I/Cr ratio ≥150 µg/g, the IQ of their offspring was 0.49 (95% CI: 0.79, 0.18) SD lower. There were no associations with the executive function outcomes assessed via CANTAB, before or after adjustment for confounders. Conclusion The positive association between iodine status before conception and child IQ provides some support for demonstrated links between low maternal iodine status in pregnancy and poorer cognitive function reported in other studies. However, given the negative effects on school performance previously observed in children born to iodine-deficient mothers, the lack of associations with measures of executive function in the present study was unexpected. Further data are needed to establish the public health importance of low preconception iodine status.
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Affiliation(s)
- Sian M Robinson
- Medical Research Council (MRC) Lifecourse Epidemiology Unit,National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, United Kingdom,Address correspondence to SMR (e-mail: )
| | | | - Elizabeth A Miles
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Catharine R Gale
- Medical Research Council (MRC) Lifecourse Epidemiology Unit,Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Philip C Calder
- Human Development and Health Academic Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom,National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, United Kingdom
| | - Cyrus Cooper
- Medical Research Council (MRC) Lifecourse Epidemiology Unit,National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, United Kingdom,National Institute for Health Research (NIHR) Musculoskeletal Biomedical Research Unit, University of Oxford, Nuffield Orthopaedic Centre, Oxford, United Kingdom
| | - Hazel M Inskip
- Medical Research Council (MRC) Lifecourse Epidemiology Unit,National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, United Kingdom
| | - Keith M Godfrey
- Medical Research Council (MRC) Lifecourse Epidemiology Unit,National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, United Kingdom
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44
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Fernández MDM, Saulyte J, Inskip HM, Takkouche B. Premenstrual syndrome and alcohol consumption: a systematic review and meta-analysis. BMJ Open 2018; 8:e019490. [PMID: 29661913 PMCID: PMC5905748 DOI: 10.1136/bmjopen-2017-019490] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Revised: 12/13/2017] [Accepted: 02/09/2018] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE Premenstrual syndrome (PMS) is a very common disorder worldwide which carries an important economic burden. We conducted a systematic review and a meta-analysis to assess the role of alcohol in the occurrence of PMS. METHODS We searched MEDLINE, EMBASE, the five regional bibliographic databases of the WHO, the Proceedings database and the Open Access Thesis and Dissertations (OATD) from inception to May 2017. We also reviewed the references of every article retrieved and established personal contact with researchers to trace further publications or reports. We did not include any language limitations. Studies were included if: (1) they presented original data from cohort, case-control or cross-sectional studies, (2) PMS was clearly defined as the outcome of interest, (3) one of the exposure factors was alcohol consumption, (4) they provided estimates of odds ratios, relative risks, or any other effect measure and their confidence intervals, or enough data to calculate them. RESULTS We identified 39 studies of which 19 were eligible. Intake of alcohol was associated with a moderate increase in the risk of PMS (OR=1.45, 95% CI: 1.17 to 1.79). Heavy drinking yielded a larger increase in the risk than any drinking (OR=1.79, 95% CI: 1.39 to 2.32). DISCUSSION Our results suggest that alcohol intake presents a moderate association with PMS risk. Future studies should avoid cross-sectional designs and focus on determining whether there is a threshold of alcohol intake under which the harmful effect on PMS is non-existent.
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Affiliation(s)
- María del Mar Fernández
- Department of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBER-ESP), Madrid, Spain
| | - Jurgita Saulyte
- Department of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBER-ESP), Madrid, Spain
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Bahi Takkouche
- Department of Preventive Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBER-ESP), Madrid, Spain
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45
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Warrington NM, Richmond R, Fenstra B, Myhre R, Gaillard R, Paternoster L, Wang CA, Beaumont RN, Das S, Murcia M, Barton SJ, Espinosa A, Thiering E, Atalay M, Pitkänen N, Ntalla I, Jonsson AE, Freathy R, Karhunen V, Tiesler CMT, Allard C, Crawford A, Ring SM, Melbye M, Magnus P, Rivadeneira F, Skotte L, Hansen T, Marsh J, Guxens M, Holloway JW, Grallert H, Jaddoe VWV, Lowe Jr WL, Roumeliotaki T, Hattersley AT, Lindi V, Pahkala K, Panoutsopoulou K, Standl M, Flexeder C, Bouchard L, Aagaard Nohr E, Marina LS, Kogevinas M, Niinikoski H, Dedoussis G, Heinrich J, Reynolds RM, Lakka T, Zeggini E, Raitakari OT, Chatzi L, Inskip HM, Bustamante M, Hivert MF, Jarvelin MR, Sørensen TIA, Pennell C, Felix JF, Jacobsson B, Geller F, Evans DM, Lawlor DA. Maternal and fetal genetic contribution to gestational weight gain. Int J Obes (Lond) 2018; 42:775-784. [PMID: 28990592 PMCID: PMC5784805 DOI: 10.1038/ijo.2017.248] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 08/27/2017] [Accepted: 09/03/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Clinical recommendations to limit gestational weight gain (GWG) imply high GWG is causally related to adverse outcomes in mother or offspring, but GWG is the sum of several inter-related complex phenotypes (maternal fat deposition and vascular expansion, placenta, amniotic fluid and fetal growth). Understanding the genetic contribution to GWG could help clarify the potential effect of its different components on maternal and offspring health. Here we explore the genetic contribution to total, early and late GWG. PARTICIPANTS AND METHODS A genome-wide association study was used to identify maternal and fetal variants contributing to GWG in up to 10 543 mothers and 16 317 offspring of European origin, with replication in 10 660 mothers and 7561 offspring. Additional analyses determined the proportion of variability in GWG from maternal and fetal common genetic variants and the overlap of established genome-wide significant variants for phenotypes relevant to GWG (for example, maternal body mass index (BMI) and glucose, birth weight). RESULTS Approximately 20% of the variability in GWG was tagged by common maternal genetic variants, and the fetal genome made a surprisingly minor contribution to explain variation in GWG. Variants near the pregnancy-specific beta-1 glycoprotein 5 (PSG5) gene reached genome-wide significance (P=1.71 × 10-8) for total GWG in the offspring genome, but did not replicate. Some established variants associated with increased BMI, fasting glucose and type 2 diabetes were associated with lower early, and higher later GWG. Maternal variants related to higher systolic blood pressure were related to lower late GWG. Established maternal and fetal birth weight variants were largely unrelated to GWG. CONCLUSIONS We found a modest contribution of maternal common variants to GWG and some overlap of maternal BMI, glucose and type 2 diabetes variants with GWG. These findings suggest that associations between GWG and later offspring/maternal outcomes may be due to the relationship of maternal BMI and diabetes with GWG.
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Affiliation(s)
- N M Warrington
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - R Richmond
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - B Fenstra
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - R Myhre
- Norwegian Institute of Public Health, Oslo, Norway
| | - R Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Paternoster
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - C A Wang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - R N Beaumont
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - S Das
- Department of Public Health and Primary Care, School of Public Health, Imperial College London, London, UK
| | - M Murcia
- Epidemiology and Environmental Health Joint Research Unit, FISABIO–Universitat Jaume I–Universitat de València, Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
| | - S J Barton
- MRC Lifecourse Epidemiology Unit, Faulty of Medicine, University of Southampton, Southampton, UK
| | - A Espinosa
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - E Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - M Atalay
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - N Pitkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - I Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - A E Jonsson
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - R Freathy
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - V Karhunen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - C M T Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - C Allard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada
| | - A Crawford
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - S M Ring
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- ALSPAC (Children of the 90s), School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - M Melbye
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
- Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - P Magnus
- Norwegian Institute of Public Health, Oslo, Norway
| | - F Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Skotte
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - T Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - J Marsh
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - M Guxens
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre–Sophia Children’s Hospital, Rotterdam, The Netherlands
| | - J W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - H Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Clinical Cooperation Group Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- Clinical Cooperation Group Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- Technische Universität München, Freising, Germany
| | - V W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - W L Lowe Jr
- Department of Medicine, Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - T Roumeliotaki
- Department of Social Medicine, University of Crete, Crete, Greece
| | - A T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - V Lindi
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - K Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Paavo Nurmi Centre, Sports and Exercise Medicine Unit, Department of Health and Physical Activity, Turku, Finland
| | - K Panoutsopoulou
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - M Standl
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - C Flexeder
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - L Bouchard
- Department of Biochemistry, Faculty of medicine and life sciences, Université de Sherbrooke, Sherbrooke, Canada
| | - E Aagaard Nohr
- Public Health Division of Gipuzkoa, Basque Government, Vitoria-Gasteiz, Spain
| | - L Santa Marina
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- Health Research Institute, Biodonostia, San Sebastián, Gipuzkoa, Spain
- Health Research Institute, Biodonostia, San Sebastián, Spain
| | - M Kogevinas
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - H Niinikoski
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - G Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - J Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Inner City Clinic, University Hospital Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - R M Reynolds
- British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - T Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - E Zeggini
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - O T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - L Chatzi
- Department of Social Medicine, University of Crete, Crete, Greece
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Social Medicine, University of Crete, Crete, Greece
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - H M Inskip
- MRC Lifecourse Epidemiology Unit, Faulty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - M Bustamante
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - M-F Hivert
- Department of Population Medicine at Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - M-R Jarvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC–PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - T I A Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formally the Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - C Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - J F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - B Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalization, Institute of Public Health, Oslo, Norway
| | - F Geller
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - D M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - D A Lawlor
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
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Rajappan A, Pearce A, Inskip HM, Baird J, Crozier SR, Cooper C, Godfrey KM, Roberts G, Lucas JSA, Pike KC. Maternal body mass index: Relation with infant respiratory symptoms and infections. Pediatr Pulmonol 2017; 52:1291-1299. [PMID: 28816002 PMCID: PMC5612396 DOI: 10.1002/ppul.23779] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 07/09/2017] [Indexed: 11/06/2022]
Abstract
BACKGROUND Maternal obesity is increasingly prevalent in many westernized countries. Many studies report associations between maternal obesity and childhood wheeze or asthma but few have considered maternal obesity in relation to respiratory infections or symptoms other than wheeze during infancy. This study assesses the relationship between maternal BMI and reported wheeze, cough and respiratory infections during the first year of life. METHODS In 2799 mother-child pairs, we examined the relations between maternal pre-pregnancy BMI and pregnancy weight gain and reported offspring wheeze, prolonged cough, lower respiratory tract infection, croup, and ear infection before age 1 year, along with reported diarrhea or vomiting. Maternally reported paternal BMI was included in the models as a proxy for unmeasured confounding by shared familial factors. RESULTS Higher maternal BMI was associated with increased risks of offspring wheeze, prolonged cough and lower respiratory tract infection (relative risks (95%CI) per 5 kg/m2 1.09 (1.05-1.13), 1.09 (1.03-1.14), and 1.13 (1.07-1.20), respectively). These associations remained after adjusting for maternally reported paternal BMI. No associations were found with croup, ear infection, or diarrhea or vomiting. Pregnancy weight gain was not associated with any of the offspring symptoms or illnesses. DISCUSSION Higher maternal BMI is associated with increased risk of wheeze, cough, and maternally reported lower respiratory tract infection in infancy. These associations were independent of maternally reported paternal BMI. These observations might be explained by intrauterine effects of maternal obesity upon respiratory or immune development.
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Affiliation(s)
- Ashley Rajappan
- University College Medical School, University College London, London, UK
| | - Anna Pearce
- Population, Policy and Practice Academic Programme, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Hazel M Inskip
- Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK.,Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Janis Baird
- Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK.,Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sarah R Crozier
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Cyrus Cooper
- Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK.,Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Keith M Godfrey
- Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK.,Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Graham Roberts
- Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Jane S A Lucas
- Human Development and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK.,Clinical and Experimental Sciences Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK
| | - Katharine C Pike
- Respiratory, Critical Care and Anaesthesia Section, Infection, Immunity and Inflammation Academic Programme, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
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47
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Moon RJ, Harvey NC, Cooper C, D’Angelo S, Curtis EM, Crozier SR, Barton SJ, Robinson SM, Godfrey KM, Graham NJ, Holloway JW, Bishop NJ, Kennedy S, Papageorghiou AT, Schoenmakers I, Fraser R, Gandhi SV, Prentice A, Inskip HM, Javaid MK. Response to Antenatal Cholecalciferol Supplementation Is Associated With Common Vitamin D-Related Genetic Variants. J Clin Endocrinol Metab 2017; 102:2941-2949. [PMID: 28575224 PMCID: PMC5546866 DOI: 10.1210/jc.2017-00682] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Accepted: 05/24/2017] [Indexed: 01/08/2023]
Abstract
CONTEXT Single-nucleotide polymorphisms (SNPs) in genes related to vitamin D metabolism have been associated with serum 25-hydroxyvitamin D [25(OH)D] concentration, but these relationships have not been examined following antenatal cholecalciferol supplementation. OBJECTIVE To determine whether SNPs in DHCR7, CYP2R1, CYP24A1, and GC are associated with the response to gestational cholecalciferol supplementation. DESIGN Within-randomization group analysis of the Maternal Vitamin D Osteoporosis Study trial of antenatal cholecalciferol supplementation. SETTING Hospital antenatal clinics. PARTICIPANTS In total, 682 women of white ethnicity (351 placebo, 331 cholecalciferol) were included. SNPs at rs12785878 (DHCR7), rs10741657 (CYP2R1), rs6013897 (CYP24A1), and rs2282679 (GC) were genotyped. INTERVENTIONS 1000 IU/d cholecalciferol from 14 weeks of gestation until delivery. MAIN OUTCOME MEASURE 25(OH)D at randomization and 34 weeks of gestation were measured in a single batch (Liaison; Diasorin, Dartford, UK). Associations between 25(OH)D and the SNPs were assessed by linear regression using an additive model [β represents the change in 25(OH)D per additional common allele]. RESULTS Only rs12785878 (DHCR7) was associated with baseline 25(OH)D [β = 3.1 nmol/L; 95% confidence interval (CI), 1.0 to 5.2 nmol/L; P < 0.004]. In contrast, rs10741657 (CYP2R1) (β = -5.2 nmol/L; 95% CI, -8.2 to -2.2 nmol/L; P = 0.001) and rs2282679 (GC) (β = 4.2 nmol/L; 95% CI, 0.9 to 7.5 nmol/L; P = 0.01) were associated with achieved 25(OH)D status following supplementation, whereas rs12785878 and rs6013897 (CYP24A1) were not. CONCLUSIONS Genetic variation in DHCR7, which encodes 7-dehyrocholesterol reductase in the epidermal vitamin D biosynthesis pathway, appears to modify baseline 25(OH)D. In contrast, the response to antenatal cholecalciferol supplementation was associated with SNPs in CYP2R1, which may alter 25-hydroxylase activity, and GC, which may affect vitamin D binding protein synthesis or metabolite affinity.
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Affiliation(s)
- Rebecca J. Moon
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
- Paediatric Endocrinology, University Hospitals Southampton National Health Service Foundation Trust, Southampton SO16 6YD, United Kingdom
| | - Nicholas C. Harvey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
- National Institute for Health Research Southampton Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton SO16 6YD, United Kingdom
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
- National Institute for Health Research Southampton Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton SO16 6YD, United Kingdom
- National Institute for Health Research Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford OX3 7LD, United Kingdom
| | - Stefania D’Angelo
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
| | - Elizabeth M. Curtis
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
| | - Sarah R. Crozier
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
| | - Sheila J. Barton
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
| | - Sian M. Robinson
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
- National Institute for Health Research Southampton Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton SO16 6YD, United Kingdom
| | - Keith M. Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
- National Institute for Health Research Southampton Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton SO16 6YD, United Kingdom
| | - Nikki J. Graham
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, United Kingdom
| | - John W. Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, United Kingdom
| | - Nicholas J. Bishop
- Academic Unit of Child Health, Sheffield Children’s Hospital, University of Sheffield, Sheffield S10 2TH, United Kingdom
| | - Stephen Kennedy
- Nuffield Department of Obstetrics and Gynaecology, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, United Kingdom
| | - Aris T. Papageorghiou
- Nuffield Department of Obstetrics and Gynaecology, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, United Kingdom
| | - Inez Schoenmakers
- Medical Research Council Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge CB1 9NL, United Kingdom
- Department of Medicine, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich NR4 7TJ, United Kingdom
| | - Robert Fraser
- Sheffield Hospitals National Health Service Trust (University of Sheffield), Sheffield S10 2SF, United Kingdom
| | - Saurabh V. Gandhi
- Sheffield Hospitals National Health Service Trust (University of Sheffield), Sheffield S10 2SF, United Kingdom
| | - Ann Prentice
- Medical Research Council Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge CB1 9NL, United Kingdom
| | - Hazel M. Inskip
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, United Kingdom
- National Institute for Health Research Southampton Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton SO16 6YD, United Kingdom
| | - M. Kassim Javaid
- National Institute for Health Research Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford OX3 7LD, United Kingdom
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48
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Hollis JL, Crozier SR, Inskip HM, Cooper C, Godfrey KM, Harvey NC, Collins CE, Robinson SM. Modifiable risk factors of maternal postpartum weight retention: an analysis of their combined impact and potential opportunities for prevention. Int J Obes (Lond) 2017; 41:1091-1098. [PMID: 28337028 PMCID: PMC5500180 DOI: 10.1038/ijo.2017.78] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Revised: 02/12/2017] [Accepted: 03/14/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND/OBJECTIVES Pregnancy triggers a physiological change in weight status. Postpartum weight retention in the childbearing years can substantially alter a woman's weight gain trajectory, with several potential contributing factors identified. Most research has relied on women's recall of pre-pregnancy weight during pregnancy or later, and not considered risk factors in combination. Using measured pre-pregnancy weight, this study aimed to examine the associations of maternal postpartum weight retention with parity, pre-pregnancy BMI, excessive gestational weight gain (GWG), maternal serum vitamin D concentration and dietary Glycaemic Index in early and late pregnancy, and breastfeeding duration, including analysis of the combined impact of potentially modifiable risk factors. SUBJECTS/METHODS Prospective cohort study of 12 583 non-pregnant women aged 20-34 years in Southampton (UK) who were assessed prior to pregnancy, with those who subsequently became pregnant followed up in early and late gestation, and after delivery (n=2559 in the final sample). Linear regression models examined potential predictors of weight retention in adjusted individual and multivariate analyses, and as a risk factor score. RESULTS Compared with pre-pregnancy weight, 73% of women retained some weight at 6 months postpartum (mean (s.d.): 3.5 (6.2) kg). In the adjusted multivariate model, women who were primiparous, had a lower pre-pregnancy BMI, excessive GWG, a lower early pregnancy vitamin D concentration and breastfed for <6 months had greater weight retention 6 months postpartum (P<0.05 for all variables). For each additional modifiable risk factor (excessive GWG, low vitamin D concentration in early pregnancy and short breastfeeding duration; scale 0-3), women retained an additional 2.49 kg (95% CI: 2.16, 2.82; P<0.001). CONCLUSIONS Having a greater number of modifiable risk factors was associated with greater weight retention 6 months postpartum. Initiatives supporting women to target these risk factors in the years prior to, during and after pregnancy could impact on their weight gain trajectory and later risk of adverse weight-related outcomes.
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Affiliation(s)
- J L Hollis
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - S R Crozier
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - H M Inskip
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - C Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - K M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - N C Harvey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - C E Collins
- Priority Research Centre in Physical Activity and Nutrition, School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia
- Faculty of Health and Medicine, School of Health Sciences, University of Newcastle, Callaghan, New South Wales, Australia
| | - S M Robinson
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Nutrition Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
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49
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Affiliation(s)
- Nicholas C Harvey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; National Institute for Health Research Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Rebecca Moon
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; Paediatric Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Hazel M Inskip
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; National Institute for Health Research Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; National Institute for Health Research Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK.
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50
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Harvey NC, Moon RJ, Inskip HM, Godfrey KM, Cooper C. Analysis of the MAVIDOS trial - Author's reply. Lancet Diabetes Endocrinol 2017; 5:328-329. [PMID: 28434488 PMCID: PMC5432024 DOI: 10.1016/s2213-8587(17)30113-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 03/28/2017] [Indexed: 10/19/2022]
Affiliation(s)
- Nicholas C Harvey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Rebecca J Moon
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK; Paediatric Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Hazel M Inskip
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK.
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