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Heindel JJ, Howard S, Agay-Shay K, Arrebola JP, Audouze K, Babin PJ, Barouki R, Bansal A, Blanc E, Cave MC, Chatterjee S, Chevalier N, Choudhury M, Collier D, Connolly L, Coumoul X, Garruti G, Gilbertson M, Hoepner LA, Holloway AC, Howell G, Kassotis CD, Kay MK, Kim MJ, Lagadic-Gossmann D, Langouet S, Legrand A, Li Z, Le Mentec H, Lind L, Monica Lind P, Lustig RH, Martin-Chouly C, Munic Kos V, Podechard N, Roepke TA, Sargis RM, Starling A, Tomlinson CR, Touma C, Vondracek J, Vom Saal F, Blumberg B. Obesity II: Establishing causal links between chemical exposures and obesity. Biochem Pharmacol 2022; 199:115015. [PMID: 35395240 PMCID: PMC9124454 DOI: 10.1016/j.bcp.2022.115015] [Citation(s) in RCA: 97] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/12/2022] [Accepted: 03/15/2022] [Indexed: 02/06/2023]
Abstract
Obesity is a multifactorial disease with both genetic and environmental components. The prevailing view is that obesity results from an imbalance between energy intake and expenditure caused by overeating and insufficient exercise. We describe another environmental element that can alter the balance between energy intake and energy expenditure: obesogens. Obesogens are a subset of environmental chemicals that act as endocrine disruptors affecting metabolic endpoints. The obesogen hypothesis posits that exposure to endocrine disruptors and other chemicals can alter the development and function of the adipose tissue, liver, pancreas, gastrointestinal tract, and brain, thus changing the set point for control of metabolism. Obesogens can determine how much food is needed to maintain homeostasis and thereby increase the susceptibility to obesity. The most sensitive time for obesogen action is in utero and early childhood, in part via epigenetic programming that can be transmitted to future generations. This review explores the evidence supporting the obesogen hypothesis and highlights knowledge gaps that have prevented widespread acceptance as a contributor to the obesity pandemic. Critically, the obesogen hypothesis changes the narrative from curing obesity to preventing obesity.
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Affiliation(s)
- Jerrold J Heindel
- Healthy Environment and Endocrine Disruptor Strategies, Commonweal, Bolinas, CA 92924, USA.
| | - Sarah Howard
- Healthy Environment and Endocrine Disruptor Strategies, Commonweal, Bolinas, CA 92924, USA
| | - Keren Agay-Shay
- Health and Environment Research (HER) Lab, The Azrieli Faculty of Medicine, Bar Ilan University, Israel
| | - Juan P Arrebola
- Department of Preventive Medicine and Public Health University of Granada, Granada, Spain
| | - Karine Audouze
- Department of Systems Biology and Bioinformatics, University of Paris, INSERM, T3S, Paris France
| | - Patrick J Babin
- Department of Life and Health Sciences, University of Bordeaux, INSERM, Pessac France
| | - Robert Barouki
- Department of Biochemistry, University of Paris, INSERM, T3S, 75006 Paris, France
| | - Amita Bansal
- College of Health & Medicine, Australian National University, Canberra, Australia
| | - Etienne Blanc
- Department of Biochemistry, University of Paris, INSERM, T3S, 75006 Paris, France
| | - Matthew C Cave
- Division of Gastroenterology, Hepatology and Nutrition, University of Louisville, Louisville, KY 40402, USA
| | - Saurabh Chatterjee
- Environmental Health and Disease Laboratory, University of South Carolina, Columbia, SC 29208, USA
| | - Nicolas Chevalier
- Obstetrics and Gynecology, University of Cote d'Azur, Cote d'Azur, France
| | - Mahua Choudhury
- College of Pharmacy, Texas A&M University, College Station, TX 77843, USA
| | - David Collier
- Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA
| | - Lisa Connolly
- The Institute for Global Food Security, School of Biological Sciences, Queen's University, Belfast, Northern Ireland, UK
| | - Xavier Coumoul
- Department of Biochemistry, University of Paris, INSERM, T3S, 75006 Paris, France
| | - Gabriella Garruti
- Department of Endocrinology, University of Bari "Aldo Moro," Bari, Italy
| | - Michael Gilbertson
- Occupational and Environmental Health Research Group, University of Stirling, Stirling, Scotland
| | - Lori A Hoepner
- Department of Environmental and Occupational Health Sciences, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Alison C Holloway
- McMaster University, Department of Obstetrics and Gynecology, Hamilton, Ontario, CA, USA
| | - George Howell
- Center for Environmental Health Sciences, Mississippi State University, Mississippi State, MS 39762, USA
| | - Christopher D Kassotis
- Institute of Environmental Health Sciences and Department of Pharmacology, Wayne State University, Detroit, MI 48202, USA
| | - Mathew K Kay
- College of Pharmacy, Texas A&M University, College Station, TX 77843, USA
| | - Min Ji Kim
- Sorbonne Paris Nord University, Bobigny, INSERM U1124 (T3S), Paris, France
| | | | - Sophie Langouet
- Univ Rennes, INSERM EHESP, IRSET UMR_5S 1085, 35000 Rennes, France
| | - Antoine Legrand
- Sorbonne Paris Nord University, Bobigny, INSERM U1124 (T3S), Paris, France
| | - Zhuorui Li
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA 92697, USA
| | - Helene Le Mentec
- Sorbonne Paris Nord University, Bobigny, INSERM U1124 (T3S), Paris, France
| | - Lars Lind
- Clinical Epidemiology, Department of Medical Sciences, Uppsala University Hospital, Uppsala University, Uppsala, Sweden
| | - P Monica Lind
- Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala University Hospital, Uppsala University, Uppsala, Sweden
| | - Robert H Lustig
- Division of Endocrinology, Department of Pediatrics, University of California San Francisco, CA 94143, USA
| | | | - Vesna Munic Kos
- Department of Physiology and Pharmacology, Karolinska Institute, Solna, Sweden
| | - Normand Podechard
- Sorbonne Paris Nord University, Bobigny, INSERM U1124 (T3S), Paris, France
| | - Troy A Roepke
- Department of Animal Science, School of Environmental and Biological Science, Rutgers University, New Brunswick, NJ 08901, USA
| | - Robert M Sargis
- Division of Endocrinology, Diabetes and Metabolism, The University of Illinois at Chicago, Chicago, Il 60612, USA
| | - Anne Starling
- Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Craig R Tomlinson
- Norris Cotton Cancer Center, Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Charbel Touma
- Sorbonne Paris Nord University, Bobigny, INSERM U1124 (T3S), Paris, France
| | - Jan Vondracek
- Department of Cytokinetics, Institute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic
| | - Frederick Vom Saal
- Division of Biological Sciences, The University of Missouri, Columbia, MO 65211, USA
| | - Bruce Blumberg
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA 92697, USA
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Córdoba-Rodríguez DP, Iglesia I, Gómez-Bruton A, Álvarez Sauras ML, Miguel-Berges ML, Flores-Barrantes P, Casajús JA, Moreno LA, Rodríguez G. Early Life Factors Associated with Lean Body Mass in Spanish Children: CALINA Study. CHILDREN 2022; 9:children9050585. [PMID: 35626762 PMCID: PMC9139173 DOI: 10.3390/children9050585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/13/2022] [Accepted: 04/15/2022] [Indexed: 11/16/2022]
Abstract
Early life is critical for the programming of body composition. The literature links perinatal factors with fat mass development and its future effects (e.g., obesity); however, little evidence exists between early life factors and lean body mass (LBM). This study follows up on a cohort of 416 Spanish children at ages six to eight, previously evaluated at birth in the CALINA study. Here, we studied the association between early life factors, LBM, and limb strength. Parental origin/nutritional status, maternal smoking during pregnancy, gestational diabetes/weight gain/age, birth weight (BW), early feeding, and rapid weight gain (RWG) were collected from primary care records. Bioimpedance analysis, dual-energy X-ray absorptiometry, peripheral quantitative computed tomography, and a handgrip/standing long jump test were used to assess fat-free mass index (FFMI), total lean soft tissue mass index (TLSTMI), muscle cross-sectional area index (MCSAI), and limb strength, respectively. In girls, maternal smoking, gestational age, and BW were positively associated with FFM/LSTM. In boys, the parents’ BMI, BW, and RWG were positively associated with FFM/LSTM. BW was associated with handgrip strength in both. Maternal BMI in girls and RWG in boys were negatively associated with the standing long jump. Early life programming plays a key role in determining LBM in children.
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Affiliation(s)
- Diana Paola Córdoba-Rodríguez
- Departamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá 110231, Colombia;
| | - Iris Iglesia
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50009 Zaragoza, Spain; (A.G.-B.); (M.L.M.-B.); (P.F.-B.); (J.A.C.); (L.A.M.); (G.R.)
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain;
- Red de Salud Materno Infantil y del Desarrollo (SAMID), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin Network (RICORS), RD21/0012/0012, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-876843756
| | - Alejandro Gómez-Bruton
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50009 Zaragoza, Spain; (A.G.-B.); (M.L.M.-B.); (P.F.-B.); (J.A.C.); (L.A.M.); (G.R.)
- Departamento de Fisiatría y Enfermería, Facultad de Ciencias de la Salud y del Deporte (FCSD), Universidad de Zaragoza, 50009 Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III Madrid, 28029 Madrid, Spain
| | | | - María L. Miguel-Berges
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50009 Zaragoza, Spain; (A.G.-B.); (M.L.M.-B.); (P.F.-B.); (J.A.C.); (L.A.M.); (G.R.)
| | - Paloma Flores-Barrantes
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50009 Zaragoza, Spain; (A.G.-B.); (M.L.M.-B.); (P.F.-B.); (J.A.C.); (L.A.M.); (G.R.)
| | - José Antonio Casajús
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50009 Zaragoza, Spain; (A.G.-B.); (M.L.M.-B.); (P.F.-B.); (J.A.C.); (L.A.M.); (G.R.)
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain;
- Departamento de Fisiatría y Enfermería, Facultad de Ciencias de la Salud y del Deporte (FCSD), Universidad de Zaragoza, 50009 Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III Madrid, 28029 Madrid, Spain
| | - Luis A. Moreno
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50009 Zaragoza, Spain; (A.G.-B.); (M.L.M.-B.); (P.F.-B.); (J.A.C.); (L.A.M.); (G.R.)
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain;
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III Madrid, 28029 Madrid, Spain
| | - Gerardo Rodríguez
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50009 Zaragoza, Spain; (A.G.-B.); (M.L.M.-B.); (P.F.-B.); (J.A.C.); (L.A.M.); (G.R.)
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain;
- Red de Salud Materno Infantil y del Desarrollo (SAMID), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Área de Pediatría, Universidad de Zaragoza, 50009 Zaragoza, Spain
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Lustig RH, Collier D, Kassotis C, Roepke TA, Ji Kim M, Blanc E, Barouki R, Bansal A, Cave MC, Chatterjee S, Choudhury M, Gilbertson M, Lagadic-Gossmann D, Howard S, Lind L, Tomlinson CR, Vondracek J, Heindel JJ. Obesity I: Overview and molecular and biochemical mechanisms. Biochem Pharmacol 2022; 199:115012. [PMID: 35393120 PMCID: PMC9050949 DOI: 10.1016/j.bcp.2022.115012] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 03/12/2022] [Accepted: 03/15/2022] [Indexed: 02/06/2023]
Abstract
Obesity is a chronic, relapsing condition characterized by excess body fat. Its prevalence has increased globally since the 1970s, and the number of obese and overweight people is now greater than those underweight. Obesity is a multifactorial condition, and as such, many components contribute to its development and pathogenesis. This is the first of three companion reviews that consider obesity. This review focuses on the genetics, viruses, insulin resistance, inflammation, gut microbiome, and circadian rhythms that promote obesity, along with hormones, growth factors, and organs and tissues that control its development. It shows that the regulation of energy balance (intake vs. expenditure) relies on the interplay of a variety of hormones from adipose tissue, gastrointestinal tract, pancreas, liver, and brain. It details how integrating central neurotransmitters and peripheral metabolic signals (e.g., leptin, insulin, ghrelin, peptide YY3-36) is essential for controlling energy homeostasis and feeding behavior. It describes the distinct types of adipocytes and how fat cell development is controlled by hormones and growth factors acting via a variety of receptors, including peroxisome proliferator-activated receptor-gamma, retinoid X, insulin, estrogen, androgen, glucocorticoid, thyroid hormone, liver X, constitutive androstane, pregnane X, farnesoid, and aryl hydrocarbon receptors. Finally, it demonstrates that obesity likely has origins in utero. Understanding these biochemical drivers of adiposity and metabolic dysfunction throughout the life cycle lends plausibility and credence to the "obesogen hypothesis" (i.e., the importance of environmental chemicals that disrupt these receptors to promote adiposity or alter metabolism), elucidated more fully in the two companion reviews.
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Affiliation(s)
- Robert H Lustig
- Division of Endocrinology, Department of Pediatrics, University of California, San Francisco, CA 94143, United States
| | - David Collier
- Brody School of Medicine, East Carolina University, Greenville, NC 27834, United States
| | - Christopher Kassotis
- Institute of Environmental Health Sciences and Department of Pharmacology, Wayne State University, Detroit, MI 48202, United States
| | - Troy A Roepke
- School of Environmental and Biological Sciences, Rutgers University, New Brunswick, NJ 08901, United States
| | - Min Ji Kim
- Department of Biochemistry and Toxicology, University of Paris, INSERM U1224 (T3S), 75006 Paris, France
| | - Etienne Blanc
- Department of Biochemistry and Toxicology, University of Paris, INSERM U1224 (T3S), 75006 Paris, France
| | - Robert Barouki
- Department of Biochemistry and Toxicology, University of Paris, INSERM U1224 (T3S), 75006 Paris, France
| | - Amita Bansal
- College of Health & Medicine, Australian National University, Canberra, Australia
| | - Matthew C Cave
- Division of Gastroenterology, Hepatology and Nutrition, University of Louisville, Louisville, KY 40402, United States
| | - Saurabh Chatterjee
- Environmental Health and Disease Laboratory, University of South Carolina, Columbia, SC 29208, United States
| | - Mahua Choudhury
- College of Pharmacy, Texas A&M University, College Station, TX 77843, United States
| | - Michael Gilbertson
- Occupational and Environmental Health Research Group, University of Stirling, Stirling, Scotland, United Kingdom
| | - Dominique Lagadic-Gossmann
- Research Institute for Environmental and Occupational Health, University of Rennes, INSERM, EHESP, Rennes, France
| | - Sarah Howard
- Healthy Environment and Endocrine Disruptor Strategies, Commonweal, Bolinas, CA 92924, United States
| | - Lars Lind
- Department of Medical Sciences, University of Uppsala, Uppsala, Sweden
| | - Craig R Tomlinson
- Norris Cotton Cancer Center, Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, United States
| | - Jan Vondracek
- Department of Cytokinetics, Institute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic
| | - Jerrold J Heindel
- Healthy Environment and Endocrine Disruptor Strategies, Commonweal, Bolinas, CA 92924, United States.
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Li X, Qi L. Epigenetics in Precision Nutrition. J Pers Med 2022; 12:jpm12040533. [PMID: 35455649 PMCID: PMC9027461 DOI: 10.3390/jpm12040533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/14/2022] [Accepted: 03/24/2022] [Indexed: 02/01/2023] Open
Abstract
Precision nutrition is an emerging area of nutrition research, with primary focus on the individual variability in response to dietary and lifestyle factors, which are mainly determined by an individual’s intrinsic variations, such as those in genome, epigenome, and gut microbiome. The current research on precision nutrition is heavily focused on genome and gut microbiome, while epigenome (DNA methylation, non-coding RNAs, and histone modification) is largely neglected. The epigenome acts as the interface between the human genome and environmental stressors, including diets and lifestyle. Increasing evidence has suggested that epigenetic modifications, particularly DNA methylation, may determine the individual variability in metabolic health and response to dietary and lifestyle factors and, therefore, hold great promise in discovering novel markers for precision nutrition and potential targets for precision interventions. This review summarized recent studies on DNA methylation with obesity, diabetes, and cardiovascular disease, with more emphasis put in the relations of DNA methylation with nutrition and diet/lifestyle interventions. We also briefly reviewed other epigenetic events, such as non-coding RNAs, in relation to human health and nutrition, and discussed the potential role of epigenetics in the precision nutrition research.
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Affiliation(s)
- Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA;
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA;
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Correspondence: ; Tel.: +1-504-988-7259
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Schnurr TM, Ängquist L, Nøhr EA, Hansen T, Sørensen TIA, Morgen CS. Smoking during pregnancy is associated with child overweight independent of maternal pre-pregnancy BMI and genetic predisposition to adiposity. Sci Rep 2022; 12:3135. [PMID: 35210505 PMCID: PMC8873398 DOI: 10.1038/s41598-022-07122-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 02/02/2022] [Indexed: 01/01/2023] Open
Abstract
High maternal body mass index (BMI) and smoking during pregnancy are risk factors for child overweight. Maternal smoking tends to reduce her BMI and the association of smoking with child overweight may be confounded by or interacting with maternal genetic predisposition to adiposity. In the Danish National Birth Cohort, we investigated whether smoking during pregnancy is associated with child BMI/overweight independent of pre-pregnancy BMI and maternal genetic predisposition to adiposity estimated as total, transmitted and non-transmitted genetic risk scores (GRSs) based on 941 common genetic variants associated with BMI. Smoking during pregnancy was associated with higher child BMI and higher odds of child overweight in a dose–response relationship. The odds ratio (95% CI) for smoking 11 + cigarettes in third trimester versus no smoking was 2.42 (1.30; 4.50), irrespective of maternal BMI and maternal GRSs (total, transmitted or non-transmitted). There were no statistically significant interactions between maternal GRSs and smoking (all p-values for interactions > 0.05). In conclusion, in this study, smoking during pregnancy exhibits a dose–response association with increased child BMI/overweight, independent of maternal pre-pregnancy BMI, maternal transmitted, and non-transmitted genetic predisposition to adiposity. Avoidance of smoking during pregnancy may help prevent childhood obesity irrespective of the mother–child genetic predisposition.
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Affiliation(s)
- Theresia M Schnurr
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
| | - Lars Ängquist
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
| | - Ellen Aagaard Nøhr
- Research Unit for Gynecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.,Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Camilla S Morgen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark. .,Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. .,National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
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Zhang S, Li N, Li W, Wang L, Liu E, Zhang T, Dong W, Chen J, Leng J. Increased Gestational Weight Gain is Associated with a Higher Risk of Offspring Adiposity Before Five Years of Age: A Population-Based Cohort Study. Diabetes Metab Syndr Obes 2022; 15:2353-2363. [PMID: 35966828 PMCID: PMC9373997 DOI: 10.2147/dmso.s374427] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 07/21/2022] [Indexed: 04/20/2023] Open
Abstract
OBJECTIVE We aim to investigate the influence of weight gain during pregnancy on the risk of offspring adiposity before five years old. METHODS We retrospectively collected health information from the Tianjin mother-child cohort. Offspring outcome was BMI Z-score and prevalence of childhood adiposity from 0.5-5 years old. Gestational weight gain was analyzed using continuous and categorical variables evaluated by the IOM guidelines. Multivariate analysis adjusted maternal age, prepregnancy BMI, maternal height, smoking, cesarean section, gestational age at birth, birth weight, birth length, and mode of infant feeding during 0-6 months. RESULTS Gestational weight gain contributed to offspring's BMI Z-score from 1-5 years old, and the effect was most obvious in the first half of pregnancy (multivariate analysis, at 1, 2, 2.5, 3, 4, and 5 years of age: β 0.011, 95% CI 0.008-0.014; β 0.017, 95% CI 0.015-0.020; β 0.005, 95%CI 0.002-0.008; β 0.018, 95% CI 0.015-0.021; β 0.014, 95% CI 0.009-0.020; β 0.013, 95% CI 0.005-0.021). Excessive weight gain was associated with a higher prevalence of offspring adiposity before five years, even if prepregnancy BMI is normal. Multivariate regression analysis further confirmed that excessive weight gain during the first half of pregnancy significantly increased the risk of childhood obesity at aged one and three (AOR 1.083, 95% CI 1.003-1.169; AOR 1.158, 95% CI 1.036-1.293). CONCLUSION Offspring have a higher risk of preschool adiposity when gestational weight gain was excessive during the first half of pregnancy.
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Affiliation(s)
- Shuang Zhang
- Tianjin Women’s and Children’s Health Center, Tianjin, People’s Republic of China
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Nan Li
- Tianjin Women’s and Children’s Health Center, Tianjin, People’s Republic of China
| | - Weiqin Li
- Tianjin Women’s and Children’s Health Center, Tianjin, People’s Republic of China
| | - Leishen Wang
- Tianjin Women’s and Children’s Health Center, Tianjin, People’s Republic of China
| | - Enqing Liu
- Tianjin Women’s and Children’s Health Center, Tianjin, People’s Republic of China
| | - Tao Zhang
- Tianjin Women’s and Children’s Health Center, Tianjin, People’s Republic of China
| | - Wei Dong
- Tianjin Women’s and Children’s Health Center, Tianjin, People’s Republic of China
| | - Jiujing Chen
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Junhong Leng
- Tianjin Women’s and Children’s Health Center, Tianjin, People’s Republic of China
- Correspondence: Junhong Leng, Email
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Nandy D, Craig SJC, Cai J, Tian Y, Paul IM, Savage JS, Marini ME, Hohman EE, Reimherr ML, Patterson AD, Makova KD, Chiaromonte F. Metabolomic profiling of stool of two-year old children from the INSIGHT study reveals links between butyrate and child weight outcomes. Pediatr Obes 2022; 17:e12833. [PMID: 34327846 PMCID: PMC8647636 DOI: 10.1111/ijpo.12833] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 05/11/2021] [Accepted: 06/09/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Metabolomic analysis is commonly used to understand the biological underpinning of diseases such as obesity. However, our knowledge of gut metabolites related to weight outcomes in young children is currently limited. OBJECTIVES To (1) explore the relationships between metabolites and child weight outcomes, (2) determine the potential effect of covariates (e.g., child's diet, maternal health/habits during pregnancy, etc.) in the relationship between metabolites and child weight outcomes, and (3) explore the relationship between selected gut metabolites and gut microbiota abundance. METHODS Using 1 H-NMR, we quantified 30 metabolites from stool samples of 170 two-year-old children. To identify metabolites and covariates associated with children's weight outcomes (BMI [weight/height2 ], BMI z-score [BMI adjusted for age and sex], and growth index [weight/height]), we analysed the 1 H-NMR data, along with 20 covariates recorded on children and mothers, using LASSO and best subset selection regression techniques. Previously characterized microbiota community information from the same stool samples was used to determine associations between selected gut metabolites and gut microbiota. RESULTS At age 2 years, stool butyrate concentration had a significant positive association with child BMI (p-value = 3.58 × 10-4 ), BMI z-score (p-value = 3.47 × 10-4 ), and growth index (p-value = 7.73 × 10-4 ). Covariates such as maternal smoking during pregnancy are important to consider. Butyrate concentration was positively associated with the abundance of the bacterial genus Faecalibacterium (p-value = 9.61 × 10-3 ). CONCLUSIONS Stool butyrate concentration is positively associated with increased child weight outcomes and should be investigated further as a factor affecting childhood obesity.
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Affiliation(s)
- Debmalya Nandy
- Department of StatisticsPenn State UniversityUniversity ParkPAUSA,Present address:
Department of Biostatistics and Informatics, Colorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Sarah J. C. Craig
- Department of BiologyPenn State UniversityUniversity ParkPAUSA,Center for Medical GenomicsPenn State UniversityUniversity ParkPAUSA
| | - Jingwei Cai
- Department of Molecular ToxicologyPenn State UniversityUniversity ParkPAUSA,Present address:
Department of Drug Metabolism and PharmacokineticsGenentech Inc.South San FranciscoCaliforniaUSA
| | - Yuan Tian
- Department of Molecular ToxicologyPenn State UniversityUniversity ParkPAUSA
| | - Ian M. Paul
- Center for Medical GenomicsPenn State UniversityUniversity ParkPAUSA,Department of PediatricsPenn State College of MedicineHersheyPAUSA
| | - Jennifer S. Savage
- Department of Nutritional SciencesPenn State UniversityUniversity ParkPAUSA,Center for Childhood Obesity ResearchPenn State UniversityUniversity ParkPAUSA
| | - Michele E. Marini
- Center for Childhood Obesity ResearchPenn State UniversityUniversity ParkPAUSA
| | - Emily E. Hohman
- Center for Childhood Obesity ResearchPenn State UniversityUniversity ParkPAUSA
| | - Matthew L. Reimherr
- Department of StatisticsPenn State UniversityUniversity ParkPAUSA,Center for Medical GenomicsPenn State UniversityUniversity ParkPAUSA
| | - Andrew D. Patterson
- Department of Molecular ToxicologyPenn State UniversityUniversity ParkPAUSA,Department of Biochemistry & Molecular BiologyPenn State UniversityUniversity ParkPAUSA
| | - Kateryna D. Makova
- Department of BiologyPenn State UniversityUniversity ParkPAUSA,Center for Medical GenomicsPenn State UniversityUniversity ParkPAUSA
| | - Francesca Chiaromonte
- Department of StatisticsPenn State UniversityUniversity ParkPAUSA,Center for Medical GenomicsPenn State UniversityUniversity ParkPAUSA,Institute of EconomicsEMbeDS, Sant'Anna School of Advanced StudiesPisaItaly
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58
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Saygın Avşar T, Jackson L, McLeod H. Potential for health economics to influence policies on tobacco use during pregnancy in low-income and middle-income countries: a qualitative case study. BMJ Open 2021; 11:e045624. [PMID: 34880008 PMCID: PMC8655542 DOI: 10.1136/bmjopen-2020-045624] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 11/18/2021] [Indexed: 11/06/2022] Open
Abstract
INTRODUCTION Tobacco control during pregnancy is a policy priority in high-income countries (HICs) because of the significant health and inequality consequences. However, little evidence exists on interventions to reduce tobacco use in low-income and middle-income countries (LMICs), especially for pregnant women. This study aimed to assess how health economics evidence, which is mainly produced in HICs, could be adopted for tobacco cessation policies for pregnant women in LMICs. METHODS A qualitative case study was conducted in an international public health organisation. The organisation was chosen due to its capacity to influence health policies around the world. Tobacco control experts working in the organisation were identified through purposeful sampling and snowballing. Semistructured interviews were conducted with 18 informants with relevant experience of countries from all of the regions covered by the organisation. Data were analysed using the framework method. RESULTS In practice, tobacco cessation during pregnancy was not viewed as a priority in LMICs despite international recognition of the issue. In LMICs, factors including the recorded country-specific prevalence of tobacco use during pregnancy, availability of healthcare resources and the characteristics of potential interventions all affected the use of health economics evidence for policy making. CONCLUSION The scale of tobacco use among pregnant women might be greater than reported in LMICs. Health economics evidence produced in HICs has the potential to inform health policies in LMICs around tobacco cessation interventions if the country-specific circumstances are addressed. Economic evaluations of cessation interventions integrated into antenatal care with a household perspective would be especially relevant in LMICs.
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Affiliation(s)
- Tuba Saygın Avşar
- National Institute for Health Research Applied Research Collaboration (NIHR ARC) North Thames, Department of Applied Health Research, University College London, London, UK
| | - Louise Jackson
- Health Economics Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Hugh McLeod
- Population Health Sciences, Medical School, University of Bristol, Bristol, UK
- NIHR ARC West, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
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Causative Mechanisms of Childhood and Adolescent Obesity Leading to Adult Cardiometabolic Disease: A Literature Review. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app112311565] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The past few decades have shown a worrisome increase in the prevalence of obesity and its related illnesses. This increasing burden has a noteworthy impact on overall worldwide mortality and morbidity, with significant economic implications as well. The same trend is apparent regarding pediatric obesity. This is a particularly concerning aspect when considering the well-established link between cardiovascular disease and obesity, and the fact that childhood obesity frequently leads to adult obesity. Moreover, most obese adults have a history of excess weight starting in childhood. In addition, given the cumulative character of both time and severity of exposure to obesity as a risk factor for associated diseases, the repercussions of obesity prevalence and related morbidity could be exponential in time. The purpose of this review is to outline key aspects regarding the current knowledge on childhood and adolescent obesity as a cardiometabolic risk factor, as well as the most common etiological pathways involved in the development of weight excess and associated cardiovascular and metabolic diseases.
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60
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Jaakkola JM, Rovio SP, Pahkala K, Viikari J, Rönnemaa T, Jula A, Niinikoski H, Mykkänen J, Juonala M, Hutri-Kähönen N, Kähönen M, Lehtimäki T, Raitakari OT. Childhood exposure to parental smoking and life-course overweight and central obesity. Ann Med 2021; 53:208-216. [PMID: 33305629 PMCID: PMC7901689 DOI: 10.1080/07853890.2020.1853215] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 11/14/2020] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE To evaluate the association between childhood parental smoking exposure and the risk of overweight/obesity from childhood to adulthood. METHODS This study leverages the data from two longitudinal population based cohort studies, the Cardiovascular Risk in Young Finns Study between years 1980-2011/2012 (YFS; N = 2,303; baseline age 3-18 years) and the Special Turku Coronary Risk Factor Intervention Project between years 1989-2009/2010 (STRIP; N = 632; baseline age 7 months). Weight, height and waist circumference were measured from childhood to adulthood. Overweight/obesity was defined as body mass index ≥25 kg/m2 in adults and using the Cole criteria in children. Central obesity was defined as waist circumference > 100/90 cm in men/women and as a waist-to-height ratio > 0.50 in children. Statistical analyses were adjusted for age, sex, socioeconomic status, smoking, birth weight, parental ages, diet and physical activity. RESULTS Childhood parental smoking exposure was associated with increased risk for life-course overweight/obesity (YFS: RR1.13, 95%CI 1.02-1.24; STRIP: RR1.57, 95%CI 1.10-2.26) and central obesity (YFS: RR1.18, 95%CI 1.01-1.38; STRIP: RR1.45, 95%CI 0.98-2.15). CONCLUSIONS Childhood exposure to parental smoking is associated with increased risk of overweight/obesity over the life-course. KEY MESSAGES Exposure to parental smoking in childhood was associated with increased risk of overweight/obesity, central obesity and adiposity measured by skinfold thickness from childhood to adulthood.
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Affiliation(s)
- Johanna M. Jaakkola
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Suvi P. Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre, Sports and Exercise Medicine Unit, Department of Health and Physical activity, University of Turku, Turku, Finland
| | - Jorma Viikari
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Tapani Rönnemaa
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Antti Jula
- Department of Chronic Disease Prevention, Institute for Health and Welfare, Turku, Finland
| | - Harri Niinikoski
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Juha Mykkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Markus Juonala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University Hospital, and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Olli T. Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
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Influence of Maternal Active and Secondhand Smoking during Pregnancy on Childhood Obesity at 3 Years of Age: A Nested Case-Control Study from the Japan Environment and Children's Study (JECS). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182312506. [PMID: 34886230 PMCID: PMC8657368 DOI: 10.3390/ijerph182312506] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 11/29/2022]
Abstract
Maternal smoking during pregnancy is a risk factor for childhood obesity; however, the combined effect of secondhand smoking during pregnancy on children in the early years is unclear. We examined the effects of maternal active and secondhand smoking during pregnancy on childhood obesity in a large population-based cohort. A nested case–control study originating from the Japan Environment and Children’s Study was performed. The maternal smoking status was collected via self-administered questionnaires during mid/late pregnancy. Obesity in children was determined based on BMI measured at 3 years of age. In total, 4875 cases and 19,491 controls were included in the analyses. Conditional logistic regression models with a significance level of 5% (two-tailed test) were used to test the association. The proportion of mothers who continued smoking and who were exposed to secondhand smoking daily during pregnancy were 3.9% and 13.0% in cases and 2.9% and 10.8% in controls, respectively. Continuous maternal smoking was associated with increased odds of obesity compared to those who never smoked or quit smoking before the pregnancy (adjusted odds ratio, 1.39; 95% confidence interval, 1.01–1.92). The odds increased further when combined with secondhand smoking. The promotion of non-smoking among family members, in public and workplace could benefit pregnant women and offspring.
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Obesity and Cardiometabolic Risk Factors: From Childhood to Adulthood. Nutrients 2021; 13:nu13114176. [PMID: 34836431 PMCID: PMC8624977 DOI: 10.3390/nu13114176] [Citation(s) in RCA: 199] [Impact Index Per Article: 49.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 11/15/2021] [Accepted: 11/19/2021] [Indexed: 12/13/2022] Open
Abstract
Obesity has become a major epidemic in the 21st century. It increases the risk of dyslipidemia, hypertension, and type 2 diabetes, which are known cardiometabolic risk factors and components of the metabolic syndrome. Although overt cardiovascular (CV) diseases such as stroke or myocardial infarction are the domain of adulthood, it is evident that the CV continuum begins very early in life. Recognition of risk factors and early stages of CV damage, at a time when these processes are still reversible, and the development of prevention strategies are major pillars in reducing CV morbidity and mortality in the general population. In this review, we will discuss the role of well-known but also novel risk factors linking obesity and increased CV risk from prenatal age to adulthood, including the role of perinatal factors, diet, nutrigenomics, and nutri-epigenetics, hyperuricemia, dyslipidemia, hypertension, and cardiorespiratory fitness. The importance of 'tracking' of these risk factors on adult CV health is highlighted and the economic impact of childhood obesity as well as preventive strategies are discussed.
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63
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Dior UP, Karavani G, Soloveichick V, Friedlander Y, Hochner H. Early-life factors and adult anti-Müllerian hormone levels. J Assist Reprod Genet 2021; 38:3019-3025. [PMID: 34324131 PMCID: PMC8608934 DOI: 10.1007/s10815-021-02281-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 07/15/2021] [Indexed: 12/01/2022] Open
Abstract
AIM This study aims to examine whether early-life factors are associated with adult ovarian reserve, measured by anti-Müllerian hormone (AMH) levels. METHODS The work is based on the Jerusalem Perinatal Study (JPS), an extensive birth cohort with detailed information on all pregnancies and deliveries in Jerusalem between 1974 and 1976. A subset of individuals participated in a follow-up study that took place between 2007 and 2009 in which they completed questionnaires and were physically examined at mean age of 32. A blood sample was additionally drawn from each participant, and AMH was measured in a sample of 239 women. The associations between each early-life factors, including birth weight, maternal pre-pregnancy weight, gestational weight gain (GWG), socioeconomic position at birth, and parental smoking during pregnancy, were assessed with AMH levels at the age of 32.Multivariable regression models were used to examine the associations with AMH, adjusting for potential confounders at birth and at the age of 32. RESULTS Low birth weight was significantly associated with lower ovarian reserve reflected by lower levels of AMH at age 32 (range 30-36), independent of other early-life factors and after adjusting for confounders (β = 0.180, p = 0.03). CONCLUSIONS This prospective study demonstrates the association of birth weight and adult ovarian reserve. Underlying mechanisms are yet to be fully understood.
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Affiliation(s)
- Uri Pinchas Dior
- Department of Obstetrics and Gynecology, Hadassah Ein-Kerem Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Israel, Jerusalem, Israel
| | - Gilad Karavani
- Department of Obstetrics and Gynecology, Hadassah Ein-Kerem Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Israel, Jerusalem, Israel.
| | - Valerie Soloveichick
- Department of Internal Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University of Jerusalem, Israel, Jerusalem, Israel
| | - Hagit Hochner
- Braun School of Public Health, Hebrew University of Jerusalem, Israel, Jerusalem, Israel
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Al-Sawalha NA, Bdeir R, Sohaib A, Saad M, Inghaimesh T, Khabour OF, Alzoubi KH, Shihadeh A. Effect of E-cigarettes aerosol exposure during lactation in rats: Hormonal and biochemical aspects. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2021; 88:103759. [PMID: 34695539 PMCID: PMC8957699 DOI: 10.1016/j.etap.2021.103759] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/07/2021] [Accepted: 10/20/2021] [Indexed: 05/03/2023]
Abstract
Electronic cigarettes (e-cigarettes) have been marketed as a less lethal substitute for smoking traditional cigarettes. This study aims to investigate the impact of e-cigarettes aerosol exposure on lactating dams and pups, whose dams were exposed. Lactating dams received fresh air (control) or e-cigarettes aerosol during lactation (day 4-21). Maternal exposure to e-cigarettes aerosol during lactation induced significant reduction (P < 0.0001) in the fat content of the milk and serum Leptin level (P < 0.005) compared to control dams. Furthermore, pups whose dams were exposed to e-cigarettes during lactation showed an increased level of glucose, thyroxine and decreased level of insulin. The exposure to e-cigarettes aerosol during lactation altered the composition of milk as well as the hormonal and biochemical profile in dams and pups. This result, if observed in women using e-cigarettes, suggests that e-cigarettes' use during lactation may have consequences on the milk production and hormonal and biochemical profile in breastfeeding mothers and nursing babies.
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Affiliation(s)
- Nour A Al-Sawalha
- Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
| | - Roba Bdeir
- Faculty of Pharmacy, Jadara University, Irbid, Jordan
| | - Aiman Sohaib
- Faculty of Pharmacy, Jadara University, Irbid, Jordan
| | - Marwan Saad
- Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan
| | - Tasneem Inghaimesh
- Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan
| | - Omar F Khabour
- Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan
| | - Karem H Alzoubi
- Department of Pharmacy Practice and Pharmacotherapeutics, University of Sharjah, Sharjah, UAE; Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan
| | - Alan Shihadeh
- Mechanical Engineering Department, American University of Beirut, Beirut 1107 2020, Lebanon; Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, USA
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Karvonen M, Saari A, Sund R, Sankilampi U. Maternal Smoking During Pregnancy and Offspring Head Growth in Comparison to Height and Weight Growth Up to 6 Years of Age: A Longitudinal Study. Clin Epidemiol 2021; 13:959-970. [PMID: 34675684 PMCID: PMC8520481 DOI: 10.2147/clep.s327766] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 09/14/2021] [Indexed: 11/23/2022] Open
Abstract
Background Maternal smoking during pregnancy causes fetal growth retardation. Thereafter, it has been associated with excessive childhood weight gain and decreased linear growth in the offspring. However, it is not known whether head circumference (HC), the surrogate of brain size in childhood, is altered after intrauterine tobacco exposure. We assessed the association of maternal smoking during pregnancy with offspring HC growth up to age 6 years in comparison with length/height growth and weight gain. Methods We combined data from Medical Birth Register and longitudinal growth data from primary care of 43,632 children (born 2004–2017). Linear mixed effects models were used for modeling, adjusting for potential perinatal and socioeconomic confounders. Results At birth, maternal smoking during pregnancy was associated with a mean deficit of 0.19 standard deviation score (SDS) (95% CI: −0.25, −0.12) in HC, −0.38 SDS (95% CI: −0.43, −0.32) in length, and −0.08 SDS (95% CI:−0.14, −0.02) in weight-for-length. HC in smokers’ children failed to catch up to that of non-smokers’ children. Height of smokers’ infants reached that of non-smokers’ infants by 12 months but declined thereafter. Weight-for-height of smokers’ infants exceeded the level of non-smokers’ infants at 3 months and remained significantly elevated thereafter. HC in the offspring of mothers who quit smoking in the first trimester was not deficient, but their weight-for-height was elevated. Conclusion HC of smokers’ children is still deficient at age 6 years. Since most of the head growth occurs during the first 2 years of life, the defect may be permanent. In smokers’ children, weight gain was excessive up to 6 years and height was deficient at 6 years consistent with previous literature. Efforts should be made to encourage pregnant women to quit smoking in the beginning of the pregnancy.
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Affiliation(s)
- Marjo Karvonen
- School of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Pediatrics, Kuopio University Hospital, Kuopio, Finland
| | - Antti Saari
- School of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Pediatrics, Kuopio University Hospital, Kuopio, Finland
| | - Reijo Sund
- School of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ulla Sankilampi
- School of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Pediatrics, Kuopio University Hospital, Kuopio, Finland
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Handakas E, Keski-Rahkonen P, Chatzi L, Alfano R, Roumeliotaki T, Plusquin M, Maitre L, Richiardi L, Brescianini S, Scalbert A, Robinot N, Nawrot T, Sassi F, Vrijheid M, Vineis P, Robinson O. Cord blood metabolic signatures predictive of childhood overweight and rapid growth. Int J Obes (Lond) 2021; 45:2252-2260. [PMID: 34253844 PMCID: PMC8455328 DOI: 10.1038/s41366-021-00888-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 04/30/2021] [Accepted: 06/22/2021] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Metabolomics may identify biological pathways predisposing children to the risk of overweight and obesity. In this study, we have investigated the cord blood metabolic signatures of rapid growth in infancy and overweight in early childhood in four European birth cohorts. METHODS Untargeted liquid chromatography-mass spectrometry metabolomic profiles were measured in cord blood from 399 newborns from four European cohorts (ENVIRONAGE, Rhea, INMA and Piccolipiu). Rapid growth in the first year of life and overweight in childhood was defined with reference to WHO growth charts. Metabolome-wide association scans for rapid growth and overweight on over 4500 metabolic features were performed using multiple adjusted logistic mixed-effect models and controlling the false discovery rate (FDR) at 5%. In addition, we performed a look-up analysis of 43 pre-annotated metabolites, previously associated with birthweight or rapid growth. RESULTS In the Metabolome-Wide Association Study analysis, we identified three and eight metabolites associated with rapid growth and overweight, respectively, after FDR correction. Higher levels of cholestenone, a cholesterol derivative produced by microbial catabolism, were predictive of rapid growth (p = 1.6 × 10-3). Lower levels of the branched-chain amino acid (BCAA) valine (p = 8.6 × 10-6) were predictive of overweight in childhood. The area under the receiver operator curve for multivariate prediction models including these metabolites and traditional risk factors was 0.77 for rapid growth and 0.82 for overweight, compared with 0.69 and 0.69, respectively, for models using traditional risk factors alone. Among the 43 pre-annotated metabolites, seven and five metabolites were nominally associated (P < 0.05) with rapid growth and overweight, respectively. The BCAA leucine, remained associated (1.6 × 10-3) with overweight after FDR correction. CONCLUSION The metabolites identified here may assist in the identification of children at risk of developing obesity and improve understanding of mechanisms involved in postnatal growth. Cholestenone and BCAAs are suggestive of a role of the gut microbiome and nutrient signalling respectively in child growth trajectories.
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Affiliation(s)
- Evangelos Handakas
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Pekka Keski-Rahkonen
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Lida Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rossella Alfano
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Léa Maitre
- Barcelona Institute of Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Torino, Italy
| | - Sonia Brescianini
- Centre for Behavioural Science and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Augustin Scalbert
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Nivonirina Robinot
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Tim Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Franco Sassi
- Centre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, South Kensington Campus, London, UK
| | - Martine Vrijheid
- Barcelona Institute of Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Paolo Vineis
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Oliver Robinson
- Μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
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Jones LR, Emmett PM, Hays NP, Shahkhalili Y, Taylor CM. Association of Nutrition in Early Childhood with Body Composition and Leptin in Later Childhood and Early Adulthood. Nutrients 2021; 13:3264. [PMID: 34579140 PMCID: PMC8466313 DOI: 10.3390/nu13093264] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 09/14/2021] [Accepted: 09/15/2021] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC), this study aimed to replicate the finding of the Etude Longitudinale Alimentation Nutrition Croissance des Enfants (ELANCE) that low fat intake in early childhood was associated with increased adiposity in adulthood. METHODS Diet was assessed at 8 and 18 months using 3-day food records. Body composition variables were measured at 9 and 17 years, and serum leptin at 9 years. Associations were modelled using adjusted linear regression. RESULTS In replication analyses, in contrast to ELANCE, there was a positive association between fat intake (% energy) at 18 months and fat mass (FM) at 9 years (B coefficient 0.10 (95% CI 0.03, 0.20) kg, p = 0.005). There was no association with serum leptin. In extended analyses fat intake at 18 months was positively associated with FM in boys (0.2 (0.00, 0.30), p = 0.008) at 9 years but not in girls. Fat intake was positively associated with serum leptin concentration in boys (0.2 (0.1, 0.4) ng/mL, p = 0.011) but not in girls. CONCLUSIONS Our results did not corroborate the findings from the ELANCE study. A high fat diet in early life may have implications for later childhood and adolescent obesity.
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Affiliation(s)
- Louise R. Jones
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol BS8 1NU, UK; (P.M.E.); (C.M.T.)
| | - Pauline M. Emmett
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol BS8 1NU, UK; (P.M.E.); (C.M.T.)
| | - Nicholas P. Hays
- NPTC Nutrition—SBU Nutrition, Avenue Nestle 55, 1800 Vevey, Switzerland;
| | | | - Caroline M. Taylor
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol BS8 1NU, UK; (P.M.E.); (C.M.T.)
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68
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Díaz-Rodríguez M, Pérez-Muñoz C, Carretero-Bravo J, Ruíz-Ruíz C, Serrano-Santamaría M, Ferriz-Mas BC. Early Risk Factors for Obesity in the First 1000 Days-Relationship with Body Fat and BMI at 2 Years. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:8179. [PMID: 34360471 PMCID: PMC8346117 DOI: 10.3390/ijerph18158179] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 07/29/2021] [Accepted: 07/30/2021] [Indexed: 12/23/2022]
Abstract
(1) Background: Obesity is defined as an excessive accumulation of body fat. Several early developmental factors have been identified which are associated with an increased risk of childhood obesity and increased adiposity in childhood. The primary objective of the present study is to analyse the effect of various early risk factors on Body Mass Index (BMI) and body fat percentage at 2 years of age. (2) Methods: A prospective cohort study design was used, with the sample consisting of 109 mother-child pairs from whom data were collected between early pregnancy and 2 years old. Adiposity was determined based on skinfold measurements using the Brooks and Siri formulae. Mean comparison tests (Student's t-test and ANOVAs) and multiple linear regression models were used to analyse the relationship between early programming factors and dependent variables. (3) Results: Maternal excess weight during early pregnancy (β = 0.203, p = 0.026), gestational smoking (β = 0.192, p = 0.036), and accelerated weight gain in the first 2 years (β = - 0.269, p = 0.004) were significantly associated with high body fat percentage. Pre-pregnancy BMI and accelerated weight gain in the first 2 years were associated with high BMI z-score (β = 0.174, p = 0.047 and β = 0.417, p = 0.000 respectively). The cumulative effect of these variables resulted in high values compared to the baseline zero-factor group, with significant differences in BMI z-score (F = 8.640, p = 0.000) and body fat percentage (F = 5.402, p = 0.002) when three factors were present. (4) Conclusions: The presence of several early risk factors related to obesity in infancy was significantly associated with higher BMI z-score and body fat percentage at 2 years of age. The presence of more than one of these variables was also associated with higher adiposity at 2 years of age. Early prevention strategies should address as many of these factors as possible.
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Affiliation(s)
- Mercedes Díaz-Rodríguez
- Department of Nursing and Physiotherapy, University of Cádiz, 11009 Cádiz, Spain; (M.D.-R.); (C.P.-M.); (J.C.-B.)
| | - Celia Pérez-Muñoz
- Department of Nursing and Physiotherapy, University of Cádiz, 11009 Cádiz, Spain; (M.D.-R.); (C.P.-M.); (J.C.-B.)
| | - Jesús Carretero-Bravo
- Department of Nursing and Physiotherapy, University of Cádiz, 11009 Cádiz, Spain; (M.D.-R.); (C.P.-M.); (J.C.-B.)
| | - Catalina Ruíz-Ruíz
- Clinic Management Unit (CMU), Andalusian Health System, 11510 Cádiz, Spain; (C.R.-R.); (M.S.-S.)
| | | | - Bernardo C. Ferriz-Mas
- Clinic Management Unit (CMU), Andalusian Health System, 11510 Cádiz, Spain; (C.R.-R.); (M.S.-S.)
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69
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Social Determinants of Cigarette Smoking among American Women during Pregnancy. WOMEN 2021. [DOI: 10.3390/women1030012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Educational attainment is among the most substantial protective factors against cigarette smoking, including during pregnancy. Although Minorities’ Diminished Returns (MDRs) of educational attainment, defined as weaker protective effect of education for racial and ethnic minority groups compared to Non-Hispanic Whites, has been demonstrated in previous studies; such MDRs are not tested for cigarette smoking during pregnancy. To better understand the relevance of MDRs to tobacco use during pregnancy, this study had three aims: firstly, to investigate the association between educational attainment and cigarette smoking in pregnant women; secondly, to compare racial and ethnic groups for the association between educational attainment and cigarette smoking; and thirdly, to explore the mediating effect of poverty status on such MDRs, among American adults during pregnancy. This cross-sectional study explored a nationally representative sample of pregnant American women (n = 338), which was taken from the Population Assessment of Tobacco and Health (PATH; 2013). Current smoking was the outcome. Educational attainment was the independent variable. Region and age were the covariates. Poverty status was the mediator. Race and ethnicity were the effect modifiers. Overall, a higher level of educational attainment (OR = 0.54, p < 0.05) was associated with lower odds of current smoking among pregnant women. Race (OR = 2.04, p < 0.05) and ethnicity (OR = 2.12, p < 0.05) both showed significant interactions with educational attainment on smoking, suggesting that the protective effect of educational attainment against smoking during pregnancy is smaller for Blacks and Hispanics than Non-Hispanic Whites. Poverty status fully mediated the above interactions. In the United States, highly educated pregnant Black and Hispanic women remain at higher risk of smoking cigarettes, possibly because they are more likely to live in poverty, compared to their White counterparts. The results suggest the role that labor market discrimination has in explaining lower returns of educational attainment in terms of less cigarette smoking by racial and ethnic minority pregnant women.
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70
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Zhao Q, Hu Z, Kocak M, Liu J, Fowke JH, Han JC, Kakhniashvili D, Lewinn KZ, Bush NR, Mason WA, Tylavsky FA. Associations of prenatal metabolomics profiles with early childhood growth trajectories and obesity risk in African Americans: the CANDLE study. Int J Obes (Lond) 2021; 45:1439-1447. [PMID: 33824402 PMCID: PMC8496965 DOI: 10.1038/s41366-021-00808-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 02/17/2021] [Accepted: 03/22/2021] [Indexed: 02/01/2023]
Abstract
OBJECTIVE Prenatal metabolomics profiles, providing measures of in utero nutritional and environmental exposures, may improve the prediction of childhood outcomes. We aimed to identify prenatal plasma metabolites associated with early childhood body mass index (BMI) trajectories and overweight/obesity risk in offspring. METHODS This study included 450 African American mother-child pairs from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood Study. An untargeted metabolomics analysis was performed on the mothers' plasma samples collected during the second trimester. The children's BMI-z-score trajectories from birth to age 4 [rising-high- (9.8%), moderate- (68.2%), and low-BMI (22.0%)] and overweight/obesity status at age 4 were the main outcomes. The least absolute shrinkage and selection operator (LASSO) was used to select the prenatal metabolites associated with childhood outcomes. RESULTS The mothers were 24.5 years old on average at recruitment, 76.4% having education less than 12 years and 80.0% with Medicaid or Medicare. In LASSO, seven and five prenatal metabolites were associated with the BMI-z-score trajectories and overweight/obese at age 4, respectively. These metabolites are mainly from/relevant to the pathways of steroid biosynthesis, amino acid metabolism, vitamin B complex, and xenobiotics metabolism (e.g., caffeine and nicotine). The odds ratios (95% CI) associated with a one SD increase in the prenatal metabolite risk scores (MRSs) constructed from the LASSO-selected metabolites were 2.97 (1.95-4.54) and 2.03 (1.54-2.67) for children being in the rising-high-BMI trajectory group and overweight/obesity at age 4, respectively. The MRSs significantly improved the risk prediction for childhood outcomes beyond traditional prenatal risk factors. The increase (95% CI) in the area under the receiver operating characteristic curves were 0.10 (0.03-0.18) and 0.07 (0.02-0.12) for the rising-high-BMI trajectory (P = 0.005) and overweight/obesity at age 4 (P = 0.007), respectively. CONCLUSIONS Prenatal metabolomics profiles advanced prediction of early childhood growth trajectories and obesity risk in offspring.
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Affiliation(s)
- Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
| | - Zunsong Hu
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Mehmet Kocak
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jiawang Liu
- Medicinal Chemistry Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN, USA
- Department of Pharmaceutical Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jay H Fowke
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Joan C Han
- Departments of Pediatrics and Physiology, University of Tennessee Health Science Center, and Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, TN, USA
| | - David Kakhniashvili
- Proteomics and Metabolomics Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Kaja Z Lewinn
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Nicole R Bush
- Departments of Pediatrics and Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - W Alex Mason
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Frances A Tylavsky
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
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71
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Dugué PA, Hodge AM, Wong EM, Joo JE, Jung CH, Hopper JL, English DR, Giles GG, Milne RL, Southey MC. Methylation marks of prenatal exposure to maternal smoking and risk of cancer in adulthood. Int J Epidemiol 2021; 50:105-115. [PMID: 33169152 DOI: 10.1093/ije/dyaa210] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/28/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Prenatal exposure to maternal smoking is detrimental to child health but its association with risk of cancer has seldom been investigated. Maternal smoking induces widespread and long-lasting DNA methylation changes, which we study here for association with risk of cancer in adulthood. METHODS Eight prospective case-control studies nested within the Melbourne Collaborative Cohort Study were used to assess associations between maternal-smoking-associated methylation marks in blood and risk of several cancers: breast (n = 406 cases), colorectal (n = 814), gastric (n = 166), kidney (n = 139), lung (n = 327), prostate (n = 847) and urothelial (n = 404) cancer and B-cell lymphoma (n = 426). We used conditional logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between cancer and five methylation scores calculated as weighted averages for 568, 19, 15, 28 and 17 CpG sites. Models were adjusted for confounders, including personal smoking history (smoking status, pack-years, age at starting and quitting) and methylation scores for personal smoking. RESULTS All methylation scores for maternal smoking were strongly positively associated with risk of urothelial cancer. Risk estimates were only slightly attenuated after adjustment for smoking history, other potential confounders and methylation scores for personal smoking. Potential negative associations were observed with risk of lung cancer and B-cell lymphoma. No associations were observed for other cancers. CONCLUSIONS We found that methylation marks of prenatal exposure to maternal smoking are associated with increased risk of urothelial cancer. Our study demonstrates the potential for using DNA methylation to investigate the impact of early-life, unmeasured exposures on later-life cancer risk.
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Affiliation(s)
- Pierre-Antoine Dugué
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Allison M Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Ee Ming Wong
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia
| | - JiHoon E Joo
- Department of Clinical Pathology, Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, The University of Melbourne, Parkville, VIC, Australia
| | - Chol-Hee Jung
- Melbourne Bioinformatics, The University of Melbourne, Parkville VIC, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Dallas R English
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Graham G Giles
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Roger L Milne
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.,Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia
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72
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Turner S, Dick S, Foteva V, Chapman A, Aucott L. Antenatal Fetal Size and Obesity in Five-Year-Old Children in a Large Cohort Created by Data Linkage. Child Obes 2021; 17:272-280. [PMID: 33769094 DOI: 10.1089/chi.2020.0360] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background: What is not well understood is the gestational age at which the fetal size deviates from normal for children who develop obesity. Here we test the hypothesis that large-for-gestational age before birth is associated with increased risk for obesity in early childhood. Methods: In this retrospective study, routinely acquired antenatal ultrasound assessments in the first, second, and third trimester were linked to anthropometric measurements at 5.5 years. Results: There were 15,760 individuals, including 678 with obesity, 1955 overweight, and 1254 thin. Compared with children of healthy weight, children who had obesity were shorter in the first trimester [mean difference 0.19 z scores (0.10, 0.28)] and heavier in the second [mean difference z scores 0.15 (0.03, 0.27)] and third trimester [mean difference z scores 0.18 (0.05, 0.32)]. Children in the thin category were lighter compared with children of healthy weight in the third trimester and those in the overweight category were heavier compared with children of healthy weight in the third trimester. All associations were independent of birth weight. Conclusions: The difference in growth trajectories between children who have obesity compared with overweight or thin suggests different underlying mechanisms.
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Affiliation(s)
- Steve Turner
- Department of Child Health, University of Aberdeen, Royal Aberdeen Children's Hospital, Aberdeen, United Kingdom
| | - Smita Dick
- Department of Child Health, University of Aberdeen, Royal Aberdeen Children's Hospital, Aberdeen, United Kingdom
| | - Vladimira Foteva
- Department of Child Health, University of Aberdeen, Royal Aberdeen Children's Hospital, Aberdeen, United Kingdom
| | - Anthony Chapman
- Department of Child Health, University of Aberdeen, Royal Aberdeen Children's Hospital, Aberdeen, United Kingdom
| | - Lorna Aucott
- Health Services Research Unit, University of Aberdeen, Aberdeen, United Kingdom
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73
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Nakamura A, François O, Lepeule J. Epigenetic Alterations of Maternal Tobacco Smoking during Pregnancy: A Narrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:5083. [PMID: 34064931 PMCID: PMC8151244 DOI: 10.3390/ijerph18105083] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 04/29/2021] [Accepted: 05/04/2021] [Indexed: 12/11/2022]
Abstract
In utero exposure to maternal tobacco smoking is the leading cause of birth complications in addition to being associated with later impairment in child's development. Epigenetic alterations, such as DNA methylation (DNAm), miRNAs expression, and histone modifications, belong to possible underlying mechanisms linking maternal tobacco smoking during pregnancy and adverse birth outcomes and later child's development. The aims of this review were to provide an update on (1) the main results of epidemiological studies on the impact of in utero exposure to maternal tobacco smoking on epigenetic mechanisms, and (2) the technical issues and methods used in such studies. In contrast with miRNA and histone modifications, DNAm has been the most extensively studied epigenetic mechanism with regard to in utero exposure to maternal tobacco smoking. Most studies relied on cord blood and children's blood, but placenta is increasingly recognized as a powerful tool, especially for markers of pregnancy exposures. Some recent studies suggest reversibility in DNAm in certain genomic regions as well as memory of smoking exposure in DNAm in other regions, upon smoking cessation before or during pregnancy. Furthermore, reversibility could be more pronounced in miRNA expression compared to DNAm. Increasing evidence based on longitudinal data shows that maternal smoking-associated DNAm changes persist during childhood. In this review, we also discuss some issues related to cell heterogeneity as well as downstream statistical analyses used to relate maternal tobacco smoking during pregnancy and epigenetics. The epigenetic effects of maternal smoking during pregnancy have been among the most widely investigated in the epigenetic epidemiology field. However, there are still huge gaps to fill in, including on the impact on miRNA expression and histone modifications to get a better view of the whole epigenetic machinery. The consistency of maternal tobacco smoking effects across epigenetic marks and across tissues will also provide crucial information for future studies. Advancement in bioinformatic and biostatistics approaches is key to develop a comprehensive analysis of these biological systems.
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Affiliation(s)
- Aurélie Nakamura
- Université Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France;
| | - Olivier François
- Université Grenoble Alpes, Laboratoire TIMC, CNRS UMR 5525, 38000 Grenoble, France;
| | - Johanna Lepeule
- Université Grenoble Alpes, Inserm, CNRS, IAB, 38000 Grenoble, France;
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74
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Avşar TS, McLeod H, Jackson L. Health outcomes of smoking during pregnancy and the postpartum period: an umbrella review. BMC Pregnancy Childbirth 2021; 21:254. [PMID: 33771100 PMCID: PMC7995767 DOI: 10.1186/s12884-021-03729-1] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 03/17/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Smoking during pregnancy (SDP) and the postpartum period has serious health outcomes for the mother and infant. Although some systematic reviews have shown the impact of maternal SDP on particular conditions, a systematic review examining the overall health outcomes has not been published. Hence, this paper aimed to conduct an umbrella review on this issue. METHODS A systematic review of systematic reviews (umbrella review) was conducted according to a protocol submitted to PROSPERO ( CRD42018086350 ). CINAHL, EMBASE, MEDLINE, PsycINFO, Web of Science, CRD Database and HMIC databases were searched to include all studies published in English by 31 December 2017, except those focusing exclusively on low-income countries. Two researchers conducted the study selection and quality assessment independently. RESULTS The review included 64 studies analysing the relationship between maternal SDP and 46 health conditions. The highest increase in risks was found for sudden infant death syndrome, asthma, stillbirth, low birth weight and obesity amongst infants. The impact of SDP was associated with the number of cigarettes consumed. According to the causal link analysis, five mother-related and ten infant-related conditions had a causal link with SDP. In addition, some studies reported protective impacts of SDP on pre-eclampsia, hyperemesis gravidarum and skin defects on infants. The review identified important gaps in the literature regarding the dose-response association, exposure window, postnatal smoking. CONCLUSIONS The review shows that maternal SDP is not only associated with short-term health conditions (e.g. preterm birth, oral clefts) but also some which can have life-long detrimental impacts (e.g. obesity, intellectual impairment). IMPLICATIONS This umbrella review provides a comprehensive analysis of the overall health impacts of SDP. The study findings indicate that while estimating health and cost outcomes of SDP, long-term health impacts should be considered as well as short-term effects since studies not including the long-term outcomes would underestimate the magnitude of the issue. Also, interventions for pregnant women who smoke should consider the impact of reducing smoking due to health benefits on mothers and infants, and not solely cessation.
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Affiliation(s)
- Tuba Saygın Avşar
- Health Economics Unit, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - Hugh McLeod
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS1 2NT, UK
- National Institute for Health Research Applied Research Collaboration (NIHR ARC) West at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Louise Jackson
- Health Economics Unit, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
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75
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Schiestl ET, Rios JM, Parnarouskis L, Cummings JR, Gearhardt AN. A narrative review of highly processed food addiction across the lifespan. Prog Neuropsychopharmacol Biol Psychiatry 2021; 106:110152. [PMID: 33127423 PMCID: PMC7750273 DOI: 10.1016/j.pnpbp.2020.110152] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 09/20/2020] [Accepted: 10/21/2020] [Indexed: 12/17/2022]
Abstract
Evidence is growing that highly processed (HP) foods (i.e., foods high in refined carbohydrates and fat) are highly effective in activating reward systems and may even be capable of triggering addictive processes. Unlike traditional drugs of abuse, exposure to HP foods is common very early in development. HP food addiction has been associated with negative outcomes, including higher body mass index (BMI), more frequent binge eating, greater failure in weight loss treatment trials, and poorer mental and physical health. Although most research on HP food addiction has been conducted using adult samples, research on this topic now spans across the life span beginning in utero and extending through older adulthood. HP food addiction and related reward-based changes are associated with negative outcomes at every life stage, which has important implications for developmentally tailored prevention and treatment efforts. Using a developmentally informed approach, the current study comprehensively reviews the existing research on HP food addiction across the lifespan and highlights important areas of future research.
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Affiliation(s)
| | - Julia M Rios
- University of Michigan, United States of America
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76
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Cotter C, Walsh S. Cutaneous sequelae of a national health crisis: Obesity and the skin. SKIN HEALTH AND DISEASE 2021; 1:e7. [PMID: 35664818 PMCID: PMC9060079 DOI: 10.1002/ski2.7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/08/2020] [Accepted: 10/09/2020] [Indexed: 02/02/2023]
Abstract
Background The global obesity pandemic has far‐reaching health consequences and has become a major global health challenge. The worldwide prevalence of obesity nearly doubled between 1980 and 2008 and based on the latest estimates in the European Union, obesity affects up to 30% of adults. As a consequence of this rising prevalence of obesity, there has been an increase in the frequency of certain disease of the skin. Objectives We review the cutaneous sequelae of obesity, firstly describing the physiological consequences of increased adiposity in the skin and secondly examining the dermatoses associated with obesity.
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Affiliation(s)
- C Cotter
- Department of Dermatology King's College Hospital NHS Foundation Trust London UK
| | - S Walsh
- Department of Dermatology King's College Hospital NHS Foundation Trust London UK
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77
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Smart SJ, Nikaj AN, Yu L, Li H, Yan F, Zhang J. Association between maternal smoking during pregnancy and offspring overweight in U.S.-born children. Pediatr Obes 2021; 16:e12717. [PMID: 32924334 DOI: 10.1111/ijpo.12717] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 07/15/2020] [Accepted: 07/22/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND The criticism of the literature on smoking during pregnancy and offspring overweight was the confounding from postnatal factors. Interaction between gestational age and prenatal maternal smoking has not yet assessed. METHODS We used the Third National Health and Nutrition Examination Survey (1988-1994), linked with natality files of US-born singletons aged 2 to 6 years. A body mass index in the 85th percentile or higher were considered overweight, including obesity. Gestational age was dichotomized as preterm (<37 weeks, n = 240) or full-term (n = 2125). Smoking status during pregnancy was ascertained by a questionnaire-based interview during National Health and Nutrition Examination Survey. RESULTS The prevalence of offspring overweight and obesity combined was 17.3% (SE = 1.3%). And 24.0% (1.3%) of mothers smoked while pregnant. A significant interaction was observed between maternal smoking and gestational age. In preterm children, a higher prevalence of overweight (34.3% [6.7%]) was found among the offspring of smoking mothers compared to non-smoking mothers (15.8% [3.6%]). After adjustment for socio-demographics, prenatal and postnatal factors, in preterm born offspring, the odds ratio of being born to smoking mothers was 2.46 (95% confidence intervals: 1.13-5.37) among children with overweight/obesity compared to children with healthy weight born to non-smoking mothers. In full-term children, the OR of being born to smoking mothers was 0.72 (0.50-1.03) among offspring with overweight/obesity relative to offspring with healthy weight born to non-smoking mothers. CONCLUSIONS Maternal smoking during pregnancy was strongly associated with offspring overweight and obesity in preterm births after control for postnatal factors. Preterm children of smoking mothers should be prioritized for obesity prevention.
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Affiliation(s)
- Shirley J Smart
- Department of Epidemiology, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA
| | - Aurela N Nikaj
- Department of Epidemiology, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA
| | - Lili Yu
- Department of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA
| | - Hongxia Li
- Shanghai East Hospital, Tongji University, School of Medicine, Shanghai, China.,Department of Social Medicine, School of Public Health, Fudan University, Shanghai, China
| | - Fei Yan
- Department of Social Medicine, School of Public Health, Fudan University, Shanghai, China
| | - Jian Zhang
- Department of Epidemiology, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA
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Skalis G, Archontakis S, Thomopoulos C, Andrianopoulou I, Papazachou O, Vamvakou G, Aznaouridis K, Katsi V, Makris T. A single-center, prospective, observational study on maternal smoking during pregnancy in Greece: The HELENA study. Tob Prev Cessat 2021; 7:16. [PMID: 33644498 PMCID: PMC7908060 DOI: 10.18332/tpc/131824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 11/28/2020] [Accepted: 12/19/2020] [Indexed: 12/20/2022]
Abstract
INTRODUCTION The unequivocal association between exposure to smoke and numerous complications of pregnancy, demonstrated in the last decades, has led to a significant decrease of smoking rates in pregnancy. The aim of the present study was to determine the prevalence of maternal smoking and to elucidate factors predisposing to it among pregnant women in Athens, Greece. METHODS A population of 1700 pregnant women (mean age: 31.2±5.5 years) who visited consecutively the Cardiology Department of Helena Venizelou Maternity Hospital in Athens, Greece, between September 2016 and August 2017, was prospectively analyzed. Data regarding changes in the future mother’s smoking habit as well as different sociodemographic factors potentially related to these changes were recorded. RESULTS Of the 1700 participants, 704 (41.4%) were smokers, and of those 52.4% quit smoking after knowledge of their pregnancy status. The overall prevalence of smoking in pregnancy was 19.7%. Prevalence was higher in women who were aged <20 years (p=0.038), were multipara (p=0.032), had ≤12 years of education (p=0.044) and had a partner who was a smoker (p=0.047). Women aged ≤20 years were more likely to be persistent smokers at the beginning of pregnancy and demonstrated a higher prevalence of smoking during pregnancy (42.2% vs 19.7% in the overall study population). CONCLUSIONS Our data demonstrate that maternal smoking during pregnancy still remains a major public health issue in Greece with a prevalence higher than most other industrialized countries.
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Affiliation(s)
- George Skalis
- Department of Cardiology, Helena Venizelou General & Maternity Hospital, Athens, Greece
| | - Stefanos Archontakis
- Department of Cardiology, Helena Venizelou General & Maternity Hospital, Athens, Greece
| | - Costas Thomopoulos
- Department of Cardiology, Helena Venizelou General & Maternity Hospital, Athens, Greece
| | - Iliana Andrianopoulou
- Department of Cardiology, Helena Venizelou General & Maternity Hospital, Athens, Greece
| | - Ourania Papazachou
- Department of Cardiology, Helena Venizelou General & Maternity Hospital, Athens, Greece
| | - Georgia Vamvakou
- Department of Cardiology, Helena Venizelou General & Maternity Hospital, Athens, Greece
| | - Konstantinos Aznaouridis
- First Cardiology Department, Hippokration General Hospital, University of Athens, Athens, Greece
| | - Vasiliki Katsi
- First Cardiology Department, Hippokration General Hospital, University of Athens, Athens, Greece
| | - Thomas Makris
- Department of Cardiology, Helena Venizelou General & Maternity Hospital, Athens, Greece
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Perak AM, Lancki N, Kuang A, Labarthe DR, Allen NB, Shah SH, Lowe LP, Grobman WA, Lawrence JM, Lloyd-Jones DM, Lowe WL, Scholtens DM. Associations of Maternal Cardiovascular Health in Pregnancy With Offspring Cardiovascular Health in Early Adolescence. JAMA 2021; 325:658-668. [PMID: 33591345 PMCID: PMC7887661 DOI: 10.1001/jama.2021.0247] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
IMPORTANCE Pregnancy may be a key window to optimize cardiovascular health (CVH) for the mother and influence lifelong CVH for her child. OBJECTIVE To examine associations between maternal gestational CVH and offspring CVH. DESIGN, SETTING, AND PARTICIPANTS This cohort study used data from the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study (examinations: July 2000-April 2006) and HAPO Follow-Up Study (examinations: February 2013-December 2016). The analyses included 2302 mother-child dyads, comprising 48% of HAPO Follow-Up Study participants, in an ancillary CVH study. Participants were from 9 field centers across the United States, Barbados, United Kingdom, China, Thailand, and Canada. EXPOSURES Maternal gestational CVH at a target of 28 weeks' gestation, based on 5 metrics: body mass index, blood pressure, total cholesterol level, glucose level, and smoking. Each metric was categorized as ideal, intermediate, or poor using pregnancy guidelines. Total CVH was categorized as follows: all ideal metrics, 1 or more intermediate (but 0 poor) metrics, 1 poor metric, or 2 or more poor metrics. MAIN OUTCOMES AND MEASURES Offspring CVH at ages 10 to 14 years, based on 4 metrics: body mass index, blood pressure, total cholesterol level, and glucose level. Total CVH was categorized as for mothers. RESULTS Among 2302 dyads, the mean (SD) ages were 29.6 (2.7) years for pregnant mothers and 11.3 (1.1) years for children. During pregnancy, the mean (SD) maternal CVH score was 8.6 (1.4) out of 10. Among pregnant mothers, the prevalence of all ideal metrics was 32.8% (95% CI, 30.6%-35.1%), 31.7% (95% CI, 29.4%-34.0%) for 1 or more intermediate metrics, 29.5% (95% CI, 27.2%-31.7%) for 1 poor metric, and 6.0% (95% CI, 3.8%-8.3%) for 2 or more poor metrics. Among children of mothers with all ideal metrics, the prevalence of all ideal metrics was 42.2% (95% CI, 38.4%-46.2%), 36.7% (95% CI, 32.9%-40.7%) for 1 or more intermediate metrics, 18.4% (95% CI, 14.6%-22.4%) for 1 poor metric, and 2.6% (95% CI, 0%-6.6%) for 2 or more poor metrics. Among children of mothers with 2 or more poor metrics, the prevalence of all ideal metrics was 30.7% (95% CI, 22.0%-40.4%), 28.3% (95% CI, 19.7%-38.1%) for 1 or more intermediate metrics, 30.7% (95% CI, 22.0%-40.4%) for 1 poor metric, and 10.2% (95% CI, 1.6%-20.0%) for 2 or more poor metrics. The adjusted relative risks associated with 1 or more intermediate, 1 poor, and 2 or more poor (vs all ideal) metrics, respectively, in mothers during pregnancy were 1.17 (95% CI, 0.96-1.42), 1.66 (95% CI, 1.39-1.99), and 2.02 (95% CI, 1.55-2.64) for offspring to have 1 poor (vs all ideal) metrics, and the relative risks were 2.15 (95% CI, 1.23-3.75), 3.32 (95% CI,1.96-5.62), and 7.82 (95% CI, 4.12-14.85) for offspring to have 2 or more poor (vs all ideal) metrics. Additional adjustment for categorical birth factors (eg, preeclampsia) did not fully explain these significant associations (eg, relative risk for association between 2 or more poor metrics among mothers during pregnancy and 2 or more poor metrics among offspring after adjustment for an extended set of birth factors, 6.23 [95% CI, 3.03-12.82]). CONCLUSIONS AND RELEVANCE In this multinational cohort, better maternal CVH at 28 weeks' gestation was significantly associated with better offspring CVH at ages 10 to 14 years.
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Affiliation(s)
- Amanda M. Perak
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
| | - Nicola Lancki
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Alan Kuang
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | - Norrina B. Allen
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Svati H. Shah
- Duke University Medical Center, Durham, North Carolina
| | - Lynn P. Lowe
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | - Jean M. Lawrence
- Kaiser Permanente of Southern California, Pasadena
- currently with Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | | | - William L. Lowe
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
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The Triad Mother-Breast Milk-Infant as Predictor of Future Health: A Narrative Review. Nutrients 2021; 13:nu13020486. [PMID: 33540672 PMCID: PMC7913039 DOI: 10.3390/nu13020486] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 02/07/2023] Open
Abstract
The benefits of human milk for both mother and infant are widely acknowledged. Human milk could represent a link between maternal and offspring health. The triad mother-breast milk-infant is an interconnected system in which maternal diet and lifestyle might have effects on infant's health outcome. This link could be in part explained by epigenetics, even if the underlining mechanisms have not been fully clarified yet. The aim of this paper is to update the association between maternal diet and human milk, pointing out how maternal diet and lifestyle could be associated with breast-milk composition, hence with offspring's health outcome.
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81
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Testa A, Jackson DB, Boccio C. Incarceration exposure and electronic cigarette use during pregnancy: Findings from the pregnancy risk assessment monitoring system, 2016-2018. Prev Med 2021; 143:106375. [PMID: 33321122 DOI: 10.1016/j.ypmed.2020.106375] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 12/08/2020] [Accepted: 12/10/2020] [Indexed: 12/01/2022]
Abstract
Smoking during pregnancy is a serious public health concern that poses risks for maternal and infant health. Considering the rise of electronic cigarette use in recent years, there is also growing concern about electronic cigarette use during pregnancy. Recent research has begun to explore correlates of electronic cigarette use among pregnant women. While research has revealed a strong connection between incarceration and smoking, scholars have yet to examine the connection between a woman's exposure to incarceration in the year prior to birth - either personally or vicariously through her husband or partner - and prenatal electronic cigarette use. The current study uses data from 74,554 recent mothers from the 2016-2018 Pregnancy Risk Assessment Monitoring System. Logistic regression and multinomial logistic regression models were used to assess the association between incarceration exposure and electronic cigarette use. The findings indicate a robust association between incarceration exposure and electronic cigarette use during pregnancy. Specifically, analyses demonstrate that incarceration-exposed women were approximately 2.7 times (AOR = 2.699, 95% CI = 1.939, 3.755) as likely to use electronic cigarettes after adjusting for a host of demographic, economic, health, and pregnancy related characteristics. Additional analyses reveal this association remains after accounting for conventional cigarette use during pregnancy. Considering the potential harmful health ramifications for electronic cigarette use during pregnancy, these findings suggest a need for interventions targeting electronic cigarette use among incarceration-exposed populations and point to electronic cigarette use among pregnant women in particular as an important area of focus for both criminal justice and public health practitioners.
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Affiliation(s)
- Alexander Testa
- University of Texas at San Antonio, United States of America.
| | | | - Cashen Boccio
- University of Texas at San Antonio, United States of America
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Robinson N, McKay JA, Pearce MS, Albani V, Wright CM, Adamson AJ, Brown H. The Biological and Social Determinants of Childhood Obesity: Comparison of 2 Cohorts 50 Years Apart. J Pediatr 2021; 228:138-146.e5. [PMID: 32949578 DOI: 10.1016/j.jpeds.2020.09.031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 09/08/2020] [Accepted: 09/11/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To determine whether the same relationships between early-life risk factors and socioeconomic status (SES) with childhood body mass index (BMI) are observed in a modern cohort (2000) compared with a historic cohort (1947). STUDY DESIGN The relationships between early-life factors and SES with childhood BMI were examined in 2 prospective birth cohorts from the same region, born 50 years apart: 711 children in the 1947 Newcastle Thousand Families Study (NTFS) and 475 from the 2000 Gateshead Millennium Study (GMS). The associations between birth weight, breastfeeding, rapid infancy growth (0-12 months), early-life adversity (0-12 months), and parental SES (birth and childhood) with childhood BMI z-scores and whether overweight/obese (BMI >91st percentile using UK 1990 reference) aged 9 years were examined using linear regression, path analyses, and logistic regression. RESULTS In the NTFS, the most advantaged children were taller than the least (+0.91 height z-score, P = .001), whereas in GMS they had lower odds of overweight/obese than the least (0.35 [95% CI 0.14-0.86]). Rapid infancy growth was associated with increased BMI z-scores in both cohorts, and with increased likelihood of overweight/obese in GMS. CONCLUSIONS This study suggests that children exposed to socioeconomic disadvantage or who have rapid infancy growth in modern environments are now at lower risk of growth restriction but greater risk of overweight.
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Affiliation(s)
- Natassia Robinson
- Population Health Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.
| | - Jill A McKay
- Faculty of Health and Life Sciences, Department of Applied Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Mark S Pearce
- Population Health Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Viviana Albani
- Population Health Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Charlotte M Wright
- School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, United Kingdom
| | - Ashley J Adamson
- Population Health Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Heather Brown
- Population Health Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
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Leerkes EM, Buehler C, Calkins SD, Shriver LH, Wideman L. Protocol for iGrow (Infant Growth and Development Study): biopsychosocial predictors of childhood obesity risk at 2 years. BMC Public Health 2020; 20:1912. [PMID: 33317498 PMCID: PMC7734916 DOI: 10.1186/s12889-020-10003-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 12/03/2020] [Indexed: 11/26/2022] Open
Abstract
Background Childhood obesity remains a significant public health problem. To date, most research on the causes and correlates of obesity has focused on a small number of direct predictors of obesity rather than testing complex models that address the multifactorial nature of the origins of obesity in early development. We describe the rationale and methods of iGrow (Infant Growth and Development Study) which will test multiple pathways by which (a) prenatal maternal psychobiological risk predicts infant weight gain over the first 6 months of life, and (b) this early weight gain confers risk for obesity at age 2. Infant hormonal and psychobiological risk are proposed mediators from prenatal risk to early weight gain, though these are moderated by early maternal sensitivity and obesogenic feeding practices. In addition, higher maternal sensitivity and lower obesogenic feeding practices are proposed predictors of adaptive child self-regulation in the second year of life, and all three are proposed to buffer/reduce the association between high early infant weight gain and obesity risk at age 2. Methods iGrow is a prospective, longitudinal community-based study of 300 diverse mothers and infants to be followed across 5 data waves from pregnancy until children are age 2. Key measures include (a) maternal reports of demographics, stress, well-being, feeding practices and child characteristics and health; (b) direct observation of maternal and infant behavior during feeding, play, and distress-eliciting tasks during which infant heart rate is recorded to derive measures of vagal withdrawal; (c) anthropometric measures of mothers and infants; and (d) assays of maternal prenatal blood and infant saliva and urine. A host of demographic and other potential confounds will be considered as potential covariates in structural equation models that include tests of mediation and moderation. Efforts to mitigate the deleterious effects of COVID-19 on study success are detailed. Discussion This study has the potential to inform (1) basic science about early life processes casually related to childhood obesity and (2) development of targeted intervention and prevention approaches that consider mother, infant, and family risks and resources.
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Affiliation(s)
- Esther M Leerkes
- UNC Greensboro, Department of Human Development and Family Studies, Greensboro, NC, 27402-6170, USA.
| | - Cheryl Buehler
- UNC Greensboro, Department of Human Development and Family Studies, Greensboro, NC, 27402-6170, USA
| | - Susan D Calkins
- UNC Greensboro, Office of Research and Engagement, Greensboro, NC, 27402-6170, USA
| | - Lenka H Shriver
- UNC Greensboro, Department of Nutrition, Greensboro, NC, 27402-6170, USA
| | - Laurie Wideman
- UNC Greensboro, Department of Kinesiology, Greensboro, NC, 27402-6170, USA
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84
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Merkus PJ, Turner S. Vitamin C against the harmful effects of prenatal passive smoking: when all other options fail? Eur Respir J 2020. [DOI: 10.1183/13993003.02770-2020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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85
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Myers DA, Singleton K, Hyatt K, Kaushal KM, Ducsay CA. Long term hypoxia during gestation alters perirenal adipose tissue gene expression in the lamb. Adipocyte 2020; 9:223-233. [PMID: 32403966 PMCID: PMC7238872 DOI: 10.1080/21623945.2020.1763726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
We previously reported that following long-term hypoxia (LTH), the ovine foetus exhibits enhanced expression of brown/beige adipose genes. This study was designed to determine if these changes are preserved after birth. Pregnant ewes were divided among three groups, 1) Control, sea level, 2) LTH, high altitude (3,820 m, LTH-HA) from ~ day 40 of gestation through ~14 days post-delivery and 3) LTH from ⁓ day 40 through day 137 of gestation then returned to the laboratory where atory reduced maternal PO2 was maintained by nitrogen infusion. Following delivery, lambs remained at sea level (LTH-SL). Perirenal adipose tissue was collected at ~day 14, and qRT-PCR was used to quantify mRNA. Uncoupling protein 1 (UCP-1), PPAR gamma coactivator 1 (PGC1α), and deiodinase-2 (DIO2) mRNA levels were significantly lower in both LTH groups while PR domain containing 16 (PRDM16) levels did not differ. Peroxisome proliferator-activated receptor (PPARγ) was maintained in the LTH-HA group and significantly increased in the LTH-SL group, compared to control. Unlike our previous LTH foetal studies, the brown/beige fat phenotype was rapidly lost by day 14 postpartum compared to control, while PPARγ was maintained. This loss of the brown fat phenotype may promote obesity due to decreased energy expenditure, favouring fat deposition.
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Affiliation(s)
- Dean A. Myers
- Department of Obstetrics and Gynecology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Krista Singleton
- Department of Obstetrics and Gynecology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Kim Hyatt
- Department of Obstetrics and Gynecology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Kanchan M. Kaushal
- Lawrence D. Longo M.D. Center for Perinatal Biology, School of Medicine, Loma Linda University, Loma Linda, CA, USA
| | - Charles A. Ducsay
- Lawrence D. Longo M.D. Center for Perinatal Biology, School of Medicine, Loma Linda University, Loma Linda, CA, USA
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86
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Association between factors related to the pregnancy, neonatal period, and later complications (especially asthma) and menarcheal age in a sample of Lebanese girls. BMC WOMENS HEALTH 2020; 20:236. [PMID: 33066784 PMCID: PMC7565354 DOI: 10.1186/s12905-020-01101-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 10/09/2020] [Indexed: 11/10/2022]
Abstract
BACKGROUND Studies about the majority of the factors that may potentially influence the pubertal timing and menarche were controversial. The objective was to evaluate the association between factors related to the pregnancy, neonatal period, and the complications that may happen later in life and the menarcheal age in a sample of Lebanese girls admitted or not to the NICU at birth. Our secondary objective was to try to find, for the first time in literature, a correlation between respiratory distress at birth and the need of oxygen therapy with the age of the first menses in these girls. METHODS It is a cross-sectional retrospective study, conducted between January and March 2019. Our sample included all the 2474 girls born in Notre-Dame-de-Secours hospital, between 2000 and 2005; the sample consisted of 297 girls (97 girls admitted to the NICU and 200 randomly chosen to participate in our study with a ratio of 1:2 (1 girl admitted to the NICU vs 2 girls born in the nursery). RESULTS Asthma later in life was significantly associated with lower age at menarche in girls, whereas a higher mother's age at menarche and a higher gestational age were significantly associated with higher age at menarche in girls. When taking each cause of NICU admission as an independent variable, showed that a higher mother's age at menarche was significantly associated with higher age at menarche in girls, whereas a higher number of days of phototherapy, a preeclampsia in the mother during pregnancy and asthma later in life in the girl were significantly associated with a lower age at menarche in girls. CONCLUSION The timing of menarche seems to be associated with many factors in Lebanese girls that should not be disregarded by physicians.
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Pourmotabbed A, Moosavian SP, Hadi A, Mohammadi H, Dadfarma A, Rezaei S, Babaei A, Moradi S, Mirzaei K. The Relationship between Food Insecurity and Risk of Overweight or Obesity in under 18 Years Individuals: A Systematic Review and Meta-Analysis. Int J Prev Med 2020; 11:158. [PMID: 33312467 PMCID: PMC7716614 DOI: 10.4103/ijpvm.ijpvm_463_19] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 01/23/2020] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE Food insecurit (FI) has been considered as reason for childhood and adolescent overweight/obesity (OW/OB). Hence, this study was undertaken to assess these relationships. DESIGN Related articles were found by searching the Web of Science, Scopus, PubMed and Embase databases until October 2019. Odds ratio (OR) was analized by a random-effects model. Standard methods were used for assessment of heterogeneity and publication bias. Data were available from 32 studies. The risk ratios of 139,762 participants were pooled from these articles for the meta-analysis. RESULTS This study domenstrated that children and adolescents in food-insecure condition are not at risk of OW/OB (OR = 1.02 95% CI: 0.99, 1.05). However, subgroup analysis indicated that FI related with inhanced risk of OW/OB in adolescents living in developed countries (OR = 1.14; 95% CI: 1.02, 1.27). Other subgroup analysis indicated that severe FI increased the risk of OW/OB among adolescents (OR = 1.24 95% CI: 1.03-1.49). In addition, we found that lower economic development significantly decreased risk of OW/OB among under 6 year children (OR = 0.88; 95% CI: 0.84, 0.93). CONCLUSIONS Our results showed that higher FI degrees were related with more risks of OW/OB among adolescents (12-18 years). Moreover, the country economic levels had effect on the association between FI and risk of OW/OB.
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Affiliation(s)
- Ali Pourmotabbed
- Department of Physiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Seyedeh Parisa Moosavian
- Department of Clinical Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Amir Hadi
- Halal Research Center of IRI, FDA, Tehran, Iran
| | - Hamed Mohammadi
- Department of Clinical Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Dadfarma
- Department of Cellular and Molecular Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Shahabeddin Rezaei
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Atefeh Babaei
- Department of Physiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Sajjad Moradi
- Halal Research Center of IRI, FDA, Tehran, Iran
- Department of Clinical Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Khadijah Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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Comparison between type A and type B early adiposity rebound in predicting overweight and obesity in children: a longitudinal study. Br J Nutr 2020; 124:501-512. [PMID: 32174289 DOI: 10.1017/s0007114520000987] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Early adiposity rebound (EAR) predicts paediatric overweight/obesity, but current approaches do not consider both the starting point of EAR and the BMI trajectory. We compared the clinical characteristics at birth, age 3-5 and 6-8 years of children, according to the EAR and to its type (type A/type B-EAR). We assessed the children's odds of being classified as overweight/obese at age 6-8 years, according to the type of EAR as defined at age 3-5 years. As part of this two-wave observational study, 1055 children were recruited and examined at age 3-5 years. Antenatal and postnatal information was collected through interviews with parents, and weight and height from the health records. Type A and type B-EAR were defined in wave 1 according to the BMI nadir and the variation of BMI z-score between the starting point of the adiposity rebound and the last point on the curve. At 6-8 years (wave 2), 867 children were followed up; 426 (40·4 %) children demonstrated EAR. Among them, 172 had type A-EAR, higher rates of parental obesity (P < 0·05) and greater birth weight compared with other children (P < 0·001). Odds for overweight/obesity at 6-8 years, when adjusting for antenatal and postnatal factors, was 21·35 (95 % CI 10·94, 41·66) in type A-EAR children and not significant in type B-EAR children (OR 1·76; 95 % CI 0·84, 3·68) compared with children without EAR. Classification of EAR into two subtypes provides physicians with a reliable approach to identify children at risk for overweight/obesity before the age of 5 years.
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Etzel TM, Engel SM, Quirós-Alcalá L, Chen J, Barr DB, Wolff MS, Buckley JP. Prenatal maternal organophosphorus pesticide exposures, paraoxonase 1, and childhood adiposity in the Mount Sinai Children's Environmental Health Study. ENVIRONMENT INTERNATIONAL 2020; 142:105858. [PMID: 32599353 PMCID: PMC7340581 DOI: 10.1016/j.envint.2020.105858] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 05/11/2020] [Accepted: 05/27/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Animal studies suggest that organophosphorus pesticides (OPs) may be environmental obesogens. While prenatal OP exposures have been associated with altered infant glucose metabolism, associations with pediatric adiposity remain unknown. METHODS We summed concentrations of three dimethylphosphate (∑DMP) and three diethylphosphate (∑DEP) metabolites of OPs measured in third trimester spot urine samples collected from pregnant women enrolled in New York City, 1998-2002. We measured percent fat mass using bio-electrical impedance analysis and calculated age- and sex-standardized body mass index (BMI) z-scores from anthropometric measurements collected at approximately 4, 6, and 7-9 years of age (166 children, 333 observations). We assessed covariate-adjusted associations of OPs with repeated adiposity measures using linear mixed models and evaluated effect measure modification (EMM) by sex and paroxonase (PON) 1 -108C/T and Q192R polymorphisms measured in maternal peripheral blood samples. RESULTS The geometric mean urinary concentration of ∑DMP metabolites (29.9 nmol/L, IQR: 105.2 nmol/L) was higher than ∑DEP metabolites (8.8 nmol/L, IQR: 31.2 nmol/L). Adjusted associations were null, with differences in fat mass per 10-fold increase in prenatal ∑DMP and ∑DEP concentrations of 0.7% (95% CI: -0.6, 2.0) and 0.8% (95% CI: -0.4, 2.0), respectively. Maternal PON1-108C/T polymorphisms modified relationships of prenatal ∑DMP with percent fat mass (EMM p-value = 0.18) and ∑DEP with BMI z-scores (EMM p-value = 0.12). For example, ∑DMP was modestly associated with increased percent fat mass among children of mothers with the at-risk CT or TT genotype (β = 1.2%, 95% CI: -0.6, 3.0) but not among those whose mothers had the CC genotype (β = -0.4%, 95% CI: -2.4, 1.5). Associations were not modified by sex or maternal PON1 Q192R polymorphisms. CONCLUSIONS We observed little evidence of a relationship between prenatal OP exposures and child adiposity, although there was some suggestion of increased risk among offspring of mothers who were slow OP metabolizers. Larger studies are warranted to further evaluate possible associations of prenatal OP exposures with child adiposity and differences by maternal PON1 genotype, which regulates OP metabolism and may increase susceptibility to exposure.
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Affiliation(s)
- Taylor M Etzel
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Stephanie M Engel
- University of North Carolina at Chapel Hill, Gillings School of Global Public Health, Chapel Hill, NC, USA.
| | | | - Jia Chen
- Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Dana B Barr
- Emory University Rollins School of Public Health, Atlanta, GA, USA.
| | - Mary S Wolff
- Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Jessie P Buckley
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
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90
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Rauschert S, Melton PE, Heiskala A, Karhunen V, Burdge G, Craig JM, Godfrey KM, Lillycrop K, Mori TA, Beilin LJ, Oddy WH, Pennell C, Järvelin MR, Sebert S, Huang RC. Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking: Development and Validation in Samples Collected from Adolescents and Adults. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:97003. [PMID: 32930613 PMCID: PMC7491641 DOI: 10.1289/ehp6076] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Revised: 08/20/2020] [Accepted: 08/28/2020] [Indexed: 05/19/2023]
Abstract
BACKGROUND Fetal exposure to maternal smoking during pregnancy is associated with the development of noncommunicable diseases in the offspring. Maternal smoking may induce such long-term effects through persistent changes in the DNA methylome, which therefore hold the potential to be used as a biomarker of this early life exposure. With declining costs for measuring DNA methylation, we aimed to develop a DNA methylation score that can be used on adolescent DNA methylation data and thereby generate a score for in utero cigarette smoke exposure. METHODS We used machine learning methods to create a score reflecting exposure to maternal smoking during pregnancy. This score is based on peripheral blood measurements of DNA methylation (Illumina's Infinium HumanMethylation450K BeadChip). The score was developed and tested in the Raine Study with data from 995 white 17-y-old participants using 10-fold cross-validation. The score was further tested and validated in independent data from the Northern Finland Birth Cohort 1986 (NFBC1986) (16-y-olds) and 1966 (NFBC1966) (31-y-olds). Further, three previously proposed DNA methylation scores were applied for comparison. The final score was developed with 204 CpGs using elastic net regression. RESULTS Sensitivity and specificity values for the best performing previously developed classifier ("Reese Score") were 88% and 72% for Raine, 87% and 61% for NFBC1986 and 72% and 70% for NFBC1966, respectively; corresponding figures using the elastic net regression approach were 91% and 76% (Raine), 87% and 75% (NFBC1986), and 72% and 78% for NFBC1966. CONCLUSION We have developed a DNA methylation score for exposure to maternal smoking during pregnancy, outperforming the three previously developed scores. One possible application of the current score could be for model adjustment purposes or to assess its association with distal health outcomes where part of the effect can be attributed to maternal smoking. Further, it may provide a biomarker for fetal exposure to maternal smoking. https://doi.org/10.1289/EHP6076.
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Affiliation(s)
- Sebastian Rauschert
- Telethon Kids Institute, University of Western Australia, Nedlands, Perth, Western Australia, Australia
| | - Phillip E. Melton
- Centre for Genetic Origins of Health and Disease, University of Western Australia, Perth, Australia
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin University, Perth, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Anni Heiskala
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Graham Burdge
- Institute of Developmental Sciences, University of Southampton, Faculty of Medicine, Southampton, UK
| | - Jeffrey M. Craig
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Victoria, Australia
- Molecular Epidemiology, Murdoch Children’s Research Institute, Parkville, Australia
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Karen Lillycrop
- Biological Sciences, Faculty of Natural and Environmental Sciences, University of Southampton, Southampton, Hampshire, UK
| | - Trevor A. Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia
| | - Lawrence J. Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia
| | - Wendy H. Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Craig Pennell
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Sylvain Sebert
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Department of Metabolism, Digestion and Reproduction, Genomic Medicine, Imperial College London, London, UK
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Nedlands, Perth, Western Australia, Australia
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91
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Falkner B. Maternal and gestational influences on childhood blood pressure. Pediatr Nephrol 2020; 35:1409-1418. [PMID: 30790042 DOI: 10.1007/s00467-019-4201-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 01/11/2019] [Accepted: 01/15/2019] [Indexed: 01/25/2023]
Abstract
Exposures that contribute to a sub-optimal intrauterine environment can have an effect on the developing fetus. Impaired fetal growth that results in low birth weight is an established risk factor for cardio-metabolic disorders later in life. Recent epidemiologic and prospective cohort studies that include the maternal and gestational period have identified maternal and gestational conditions that confer increased risk for subsequent cardio-metabolic disorders in the absence of low birth weight. Maternal pre-conception health status, including chronic obesity and type 2 diabetes, increase risk for childhood obesity and obesity-related higher blood pressure (BP) in child offspring. Maternal gestational exposures, including gestational diabetes, gestational hypertension, and preeclampsia, are associated with higher BP in offspring. Other maternal exposures such as cigarette smoke and air pollution also increase risk for higher BP in child offspring. Recent, but limited, data indicate that assisted reproductive technologies can be associated with hypertension in childhood, despite otherwise normal gestation and healthy newborn. Gestational exposures associated with higher BP in childhood can be related to familial lifestyle factors, genetics, or epigenetic modification of fetal deoxyribonucleic acid (DNA). These factors, or combination of factors, as well as other adverse intrauterine conditions, could induce fetal programing leading to health consequences in later life. Current and developing research will provide additional insights on gestational exposures and fetal adjustments that increase risk for higher BP levels in childhood.
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Affiliation(s)
- Bonita Falkner
- Department of Medicine and Pediatrics, Thomas Jefferson University, 833 Chestnut St. Ste. 7000, Philadelphia, PA, 19107, USA.
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92
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Gallagher D, Andres A, Fields DA, Evans WJ, Kuczmarski R, Lowe WL, Lumeng JC, Oken E, Shepherd JA, Sun S, Heymsfield SB. Body Composition Measurements from Birth through 5 Years: Challenges, Gaps, and Existing & Emerging Technologies-A National Institutes of Health workshop. Obes Rev 2020; 21:e13033. [PMID: 32314544 PMCID: PMC7875319 DOI: 10.1111/obr.13033] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 03/22/2020] [Accepted: 03/24/2020] [Indexed: 12/14/2022]
Abstract
Body composition estimates are widely used in clinical research and field studies as measures of energy-nutrient balance, functionality and health. Despite their broad relevance and multiple applications, important gaps remain in techniques available for accurately and precisely quantifying body composition in infants and children from birth through 5 years. Identifying these gaps and highlighting research needs in this age group were the topics of a National Institutes of Health workshop held in Bethesda, MD, USA, 30-31 May 2019. Experts reviewed available methods (multicompartment models, air-displacement plethysmography, dual-energy X-ray absorptiometry, weight-length and height indices, bioimpedance analysis, anthropometry-skinfold techniques, quantitative magnetic resonance, optical imaging, omics and D3-creatine dilution), their limitations in this age range and high priority research needs. A summary of their individual and collective workshop deliberations is provided in this report.
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Affiliation(s)
- Dympna Gallagher
- New York Obesity Research Center, Division of Endocrinology, Dept. of Medicine, Columbia University Irving Medical Center, New York, New York, USA.,Institute of Human Nutrition, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Aline Andres
- Arkansas Children's Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - David A Fields
- Department of Pediatrics, Division of Endocrinology and Diabetes, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - William J Evans
- Nutritional Sciences and Toxicology, University of California, Berkeley, California, USA
| | - Robert Kuczmarski
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - William L Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Julie C Lumeng
- Department of Pediatrics, Medical School, Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - John A Shepherd
- Department of Epidemiology and Population Sciences, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Shumei Sun
- Department of Pediatrics, Medical School, Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.,Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, LSU System, Baton Rouge, Louisiana, USA
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93
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Miranda RA, Gaspar de Moura E, Lisboa PC. Tobacco smoking during breastfeeding increases the risk of developing metabolic syndrome in adulthood: Lessons from experimental models. Food Chem Toxicol 2020; 144:111623. [PMID: 32738371 DOI: 10.1016/j.fct.2020.111623] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/01/2020] [Accepted: 07/13/2020] [Indexed: 12/11/2022]
Abstract
Metabolic syndrome (MetS) is characterized by increased abdominal fat, dyslipidemia, diabetes mellitus and hypertension. A high MetS prevalence is strongly associated with obesity. Obesity is a public health problem in which several complex factors have been implicated, including environmental pollutants. For instance, maternal smoking seems to play a role in obesogenesis in childhood. Given the association between endocrine disruptors, obesity and metabolic programming, over the past 10 years, our research group has contributed to studies based on the hypothesis that early exposure to nicotine/tobacco causes offspring to become MetS-prone. The mechanism by which tobacco smoking during breastfeeding induces metabolic dysfunctions is not completely understood; however, increased metabolic programming has been shown in studies that focus on this topic. Here, we reviewed the literature mainly based in light of our latest data from experimental models. Nicotine or tobacco exposure during breastfeeding induces several endocrine dysfunctions in a sex- and tissue-specific manner. This review provides an updated summary regarding the hypothesis that early exposure to nicotine/tobacco causes offspring to become MetS-prone. An understanding of this issue can provide support to prevent long-term disorders, mainly related to the risk of obesity and its comorbidities, in future generations.
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Affiliation(s)
- Rosiane A Miranda
- Laboratory of Endocrine Physiology, Department of Physiological Sciences, Roberto Alcantara Gomes Biology Institute, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil
| | - Egberto Gaspar de Moura
- Laboratory of Endocrine Physiology, Department of Physiological Sciences, Roberto Alcantara Gomes Biology Institute, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil
| | - Patrícia Cristina Lisboa
- Laboratory of Endocrine Physiology, Department of Physiological Sciences, Roberto Alcantara Gomes Biology Institute, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil.
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94
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Ueda K, Kitano N, Suzuki K. Description of Maternal Smoking Status Before and After Pregnancy: A Longitudinal, Community-Based Cohort Study. J Epidemiol 2020; 30:295-300. [PMID: 31474674 PMCID: PMC7280056 DOI: 10.2188/jea.je20180187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Background Maternal smoking during pregnancy is a major risk for adverse perinatal outcomes, as well as children’s health status. Thus, it is important to describe maternal smoking status during pregnancy and child-rearing to devise better intervention strategies. However, there have been no longitudinal studies to describe the status. Thus, in this study, we aimed to describe maternal smoking status during pregnancy and child-rearing based on population-based maternal and child health information. Moreover, we explored the factors associated with maternal smoking relapse after delivery. Methods We performed a survey of 1,220 mothers in a Japanese rural area who responded to a questionnaire upon registration of their pregnancies. When their children received health checkups at 4, 18, and 36 months of age, maternal smoking status was also surveyed. We then performed multiple logistic regression analysis to explore factors associated with maternal smoking relapse after delivery. Results Ultimately, the total number of mothers with data available for longitudinal analysis was 727 (59.6%). At the time of pregnancy registration, there were 74 current smokers (10.2%) and 176 former smokers (24.2%). Among them, 59 (33.5%) relapsed after delivery. Under 28 years of maternal age at pregnancy registration (OR 2.6; 95% CI, 1.2–5.4) was associated with maternal smoking relapse after delivery. Conclusions Longitudinal analyses showed that about 60% of mothers who smoked before and after delivery failed smoking cessation. In addition, younger mothers were significantly likely to relapse smoking after delivery.
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Affiliation(s)
| | - Naomi Kitano
- Research Center for Community Medicine and Department of Public Health, School of Medicine, Wakayama Medical University
| | - Kohta Suzuki
- Department of Health and Psychosocial Medicine, Aichi Medical University School of Medicine
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95
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Knudsen GTM, Dharmage S, Janson C, Abramson MJ, Benediktsdóttir B, Malinovschi A, Skulstad SM, Bertelsen RJ, Real FG, Schlünssen V, Jõgi NO, Sánchez-Ramos JL, Holm M, Garcia-Aymerich J, Forsberg B, Svanes C, Johannessen A. Parents' smoking onset before conception as related to body mass index and fat mass in adult offspring: Findings from the RHINESSA generation study. PLoS One 2020; 15:e0235632. [PMID: 32628720 PMCID: PMC7337347 DOI: 10.1371/journal.pone.0235632] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 06/18/2020] [Indexed: 01/11/2023] Open
Abstract
Emerging evidence suggests that parents' preconception exposures may influence offspring health. We aimed to investigate maternal and paternal smoking onset in specific time windows in relation to offspring body mass index (BMI) and fat mass index (FMI). We investigated fathers (n = 2111) and mothers (n = 2569) aged 39-65 years, of the population based RHINE and ECRHS studies, and their offspring aged 18-49 years (n = 6487, mean age 29.6 years) who participated in the RHINESSA study. BMI was calculated from self-reported height and weight, and FMI was estimated from bioelectrical impedance measures in a subsample. Associations with parental smoking were analysed with generalized linear regression adjusting for parental education and clustering by study centre and family. Interactions between offspring sex were analysed, as was mediation by parental pack years, parental BMI, offspring smoking and offspring birthweight. Fathers' smoking onset before conception of the offspring (onset ≥15 years) was associated with higher BMI in the offspring when adult (β 0.551, 95%CI: 0.174-0.929, p = 0.004). Mothers' preconception and postnatal smoking onset was associated with higher offspring BMI (onset <15 years: β1.161, 95%CI 0.378-1.944; onset ≥15 years: β0.720, 95%CI 0.293-1.147; onset after offspring birth: β2.257, 95%CI 1.220-3.294). However, mediation analysis indicated that these effects were fully mediated by parents' postnatal pack years, and partially mediated by parents' BMI and offspring smoking. Regarding FMI, sons of smoking fathers also had higher fat mass (onset <15 years β1.604, 95%CI 0.269-2.939; onset ≥15 years β2.590, 95%CI 0.544-4.636; and onset after birth β2.736, 95%CI 0.621-4.851). There was no association between maternal smoking and offspring fat mass. We found that parents' smoking before conception was associated with higher BMI in offspring when they reached adulthood, but that these effects were mediated through parents' pack years, suggesting that cumulative smoking exposure during offspring's childhood may elicit long lasting effects on offspring BMI.
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Affiliation(s)
- Gerd Toril Mørkve Knudsen
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway
| | - Shyamali Dharmage
- School of Population and Global Health, The University of Melbourne, Carlton, Australia
| | - Christer Janson
- Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
| | - Michael J. Abramson
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Australia
| | - Bryndís Benediktsdóttir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Sleep Medicine, Landspitali, Reykjavik, Iceland
| | - Andrei Malinovschi
- Department of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden
| | - Svein Magne Skulstad
- Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway
| | - Randi Jacobsen Bertelsen
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Oral Health Center of Expertise in Western Norway, Hordaland, Bergen, Norway
| | | | - Vivi Schlünssen
- Department of Public Health, Work, Environment and Health, Danish Ramazzini Centre, Aarhus University Denmark, Aarhus, Denmark
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Nils Oskar Jõgi
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway
- Lung Clinic, Tartu University Hospital, Tartu, Estonia
| | | | - Mathias Holm
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Judith Garcia-Aymerich
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Cecilie Svanes
- Department of Occupational Medicine, Haukeland University Hospital, Bergen, Norway
- Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Ane Johannessen
- Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
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96
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Hails KA, Zhou Y, Shaw DS. The Mediating Effect of Self-Regulation in the Association Between Poverty and Child Weight: A Systematic Review. Clin Child Fam Psychol Rev 2020; 22:290-315. [PMID: 30725306 DOI: 10.1007/s10567-019-00279-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Deficits in self-regulation (SR) have been proposed as a potential contributor to child overweight/obesity, a public health concern that disproportionately affects children living in poverty. Although poverty is known to influence SR, SR has not been considered as a potential mechanism in the association between poverty and child obesity. The aim of the current paper was to systematically review the current literature to determine whether SR is a viable mechanism in the relationship between child exposure to poverty and later risk of overweight/obesity. We systematically review and summarize literature in three related areas with the aim of generating a developmentally informed model that accounts for the consistent association between poverty and child weight, specifically how: (1) poverty relates to child weight, (2) poverty relates to child SR, and (3) SR is associated with weight. To quantify the strength of associations for each pathway, effect sizes were collected and aggregated. Findings from the studies included suggest small but potentially meaningful associations between poverty and child SR and between SR and child weight. The conceptualization and measurement of SR, however, varied across literature studies and made it difficult to determine whether SR can feasibly connect poverty to child obesity. Although SR may be a promising potential target for obesity intervention for low-income children, additional research on how SR affects risk of obesity is crucial, especially based on the lack of success of the limited number of SR-promoting interventions for improving children's weight outcomes.
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Affiliation(s)
- Katherine A Hails
- University of Pittsburgh, 210 South Bouquet Street, Pittsburgh, PA, USA
| | - Yiyao Zhou
- University of Pittsburgh, 210 South Bouquet Street, Pittsburgh, PA, USA
| | - Daniel S Shaw
- University of Pittsburgh, 210 South Bouquet Street, Pittsburgh, PA, USA.
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97
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Endocrine disruption and obesity: A current review on environmental obesogens. CURRENT RESEARCH IN GREEN AND SUSTAINABLE CHEMISTRY 2020; 3. [PMCID: PMC7326440 DOI: 10.1016/j.crgsc.2020.06.002] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Obesity represents an important public health concern because it substantially increases the risk of multiple chronic diseases and thereby contributing to a decline in both quality of life and life expectancy. Besides unhealthy diet, physical inactivity and genetic susceptibility, environmental pollutants also contribute to the rising prevalence of obesity epidemic. An environmental obesogen is defined as a chemical that can alter lipid homeostasis to promote adipogenesis and lipid accumulation whereas an endocrine disrupting chemical (EDC) is defined as a synthetic chemical that can interfere with the endocrine function and cause adverse health effects. Many obesogens are EDCs that interfere with normal endocrine regulation of metabolism, adipose tissue development and maintenance, appetite, weight and energy balance. An expanding body of scientific evidence from animal and epidemiological studies has begun to provide links between exposure to EDCs and obesity. Despite the significance of environmental obesogens in the pathogenesis of metabolic diseases, the contribution of synthetic chemical exposure to obesity epidemic remains largely unrecognised. Hence, the purpose of this review is to provide a current update on the evidences from animal and human studies on the role of fourteen environmental obesogens in obesity, a comprehensive view of the mechanisms of action of these obesogens and current green and sustainable chemistry strategies to overcome chemical exposure to prevent obesity. Designing of safer version of obesogens through green chemistry approaches requires a collaborative undertaking to evaluate the toxicity of endocrine disruptors using appropriate experimental methods, which will help in developing a new generation of inherently safer chemicals. Many environmental obesogens are endocrine disrupting chemicals that interfere with normal endocrine regulation of metabolism. Understanding the role of environmental obesogens in the epidemics of obesity is in an infant stage. Green chemistry approach aims to design a safer version of these chemicals by understanding their hazardous effects. Further studies are necessary to fully establish the hazardous effects of obesogens and their association to human obesity.
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98
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Vrijheid M, Fossati S, Maitre L, Márquez S, Roumeliotaki T, Agier L, Andrusaityte S, Cadiou S, Casas M, de Castro M, Dedele A, Donaire-Gonzalez D, Grazuleviciene R, Haug LS, McEachan R, Meltzer HM, Papadopouplou E, Robinson O, Sakhi AK, Siroux V, Sunyer J, Schwarze PE, Tamayo-Uria I, Urquiza J, Vafeiadi M, Valentin A, Warembourg C, Wright J, Nieuwenhuijsen MJ, Thomsen C, Basagaña X, Slama R, Chatzi L. Early-Life Environmental Exposures and Childhood Obesity: An Exposome-Wide Approach. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:67009. [PMID: 32579081 PMCID: PMC7313401 DOI: 10.1289/ehp5975] [Citation(s) in RCA: 151] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 05/14/2020] [Accepted: 05/21/2020] [Indexed: 05/20/2023]
Abstract
BACKGROUND Chemical and nonchemical environmental exposures are increasingly suspected to influence the development of obesity, especially during early life, but studies mostly consider single exposure groups. OBJECTIVES Our study aimed to systematically assess the association between a wide array of early-life environmental exposures and childhood obesity, using an exposome-wide approach. METHODS The HELIX (Human Early Life Exposome) study measured child body mass index (BMI), waist circumference, skinfold thickness, and body fat mass in 1,301 children from six European birth cohorts age 6-11 y. We estimated 77 prenatal exposures and 96 childhood exposures (cross-sectionally), including indoor and outdoor air pollutants, built environment, green spaces, tobacco smoking, and biomarkers of chemical pollutants (persistent organic pollutants, metals, phthalates, phenols, and pesticides). We used an exposure-wide association study (ExWAS) to screen all exposure-outcome associations independently and used the deletion-substitution-addition (DSA) variable selection algorithm to build a final multiexposure model. RESULTS The prevalence of overweight and obesity combined was 28.8%. Maternal smoking was the only prenatal exposure variable associated with higher child BMI (z-score increase of 0.28, 95% confidence interval: 0.09, 0.48, for active vs. no smoking). For childhood exposures, the multiexposure model identified particulate and nitrogen dioxide air pollution inside the home, urine cotinine levels indicative of secondhand smoke exposure, and residence in more densely populated areas and in areas with fewer facilities to be associated with increased child BMI. Child blood levels of copper and cesium were associated with higher BMI, and levels of organochlorine pollutants, cobalt, and molybdenum were associated with lower BMI. Similar results were found for the other adiposity outcomes. DISCUSSION This first comprehensive and systematic analysis of many suspected environmental obesogens strengthens evidence for an association of smoking, air pollution exposure, and characteristics of the built environment with childhood obesity risk. Cross-sectional biomarker results may suffer from reverse causality bias, whereby obesity status influenced the biomarker concentration. https://doi.org/10.1289/EHP5975.
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Affiliation(s)
- Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Serena Fossati
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Léa Maitre
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Sandra Márquez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Lydiane Agier
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Solène Cadiou
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Maribel Casas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Montserrat de Castro
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Audrius Dedele
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - David Donaire-Gonzalez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | | | - Line S Haug
- Norwegian Institute of Public Health, Oslo, Norway
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | | | | | - Oliver Robinson
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Valerie Siroux
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Ibon Tamayo-Uria
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Division of Immunology and Immunotherapy, CIMA, Universidad de Navarra, and Instituto de Investigación Sanitaria de Navarra (IdISNA), Pamplona, Spain
| | - Jose Urquiza
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Antonia Valentin
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Charline Warembourg
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mark J Nieuwenhuijsen
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Rémy Slama
- Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, INSERM, CNRS, University Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209 Joint Research Center, Grenoble, France
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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99
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Lima RS, Assis Silva Gomes J, Moreira PR. An overview about DNA methylation in childhood obesity: Characteristics of the studies and main findings. J Cell Biochem 2020; 121:3042-3057. [DOI: 10.1002/jcb.29544] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 10/10/2019] [Indexed: 12/19/2022]
Affiliation(s)
- Rafael Silva Lima
- Laboratory of Cell‐Cell Interactions, Department of Morphology, Institute of Biological SciencesFederal University of Minas Gerais Minas Gerais Brazil
| | - Juliana Assis Silva Gomes
- Laboratory of Cell‐Cell Interactions, Department of Morphology, Institute of Biological SciencesFederal University of Minas Gerais Minas Gerais Brazil
| | - Paula Rocha Moreira
- Laboratory of Cell‐Cell Interactions, Department of Morphology, Institute of Biological SciencesFederal University of Minas Gerais Minas Gerais Brazil
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100
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Nicotine exposure during breastfeeding reduces sympathetic activity in brown adipose tissue and increases in white adipose tissue in adult rats: Sex-related differences. Food Chem Toxicol 2020; 140:111328. [DOI: 10.1016/j.fct.2020.111328] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 03/13/2020] [Accepted: 04/06/2020] [Indexed: 12/13/2022]
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