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Moumin NA, D'Vaz N, Kidd C, MacRae A, Zhou SJ, Richards T, Palmer DJ, Grzeskowiak LE, Sullivan TR, Green TJ. Urinary ferritin as a non-invasive means of assessing iron status in young children. J Nutr 2024:S0022-3166(24)00272-4. [PMID: 38729575 DOI: 10.1016/j.tjnut.2024.04.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/23/2024] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Iron deficiency (ID) is the most common nutritional deficiency affecting young children. Serum ferritin is the preferred biomarker for measuring iron status as it reflects iron stores; however, blood collection can be distressing for young children and can be logistically difficult. A Non-invasive means to measure iron status would be attractive to either diagnose or screen for ID in young children. OBJECTIVE 1) To determine the correlation between urinary and serum ferritin in young children; 2) To determine if correcting urinary ferritin for creatinine and specific gravity improves the correlation; and 3) To determine a urine ferritin cut point to predict ID. METHODS Validation study using paired serum and urine collected from 3-year-old children (n=142) participating in a longitudinal birth cohort study; the ORIGINS project in Perth, Western Australia. We calculated the sensitivity, specificity, positive, and negative predictive value of urinary ferritin in identifying those with ID at the clinical cut point used by the World Health Organization (serum ferritin <12 ng/mL). RESULTS Urine ferritin, corrected for creatinine, correlated moderately with serum ferritin r=0.53 (0.40-0.64) and performed well in predicting those with ID (area under the curve 0.85, 95% CI 0.75-0.94). Urine ferritin < 2.28 ng/mg creatinine was sensitive (86%) and specific (77%) in predicting ID and had a high negative predictive value of 97%; however, the positive predictive value was low (40%) due to the low prevalence of ID in the sample (16%). CONCLUSIONS Urine ferritin showed good diagnostic performance for ID. The non-invasive biomarker maybe a useful screening tool to exclude ID in healthy young children; however, further research is needed in other populations.
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Affiliation(s)
- Najma A Moumin
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide SA 5000, Australia; Discipline of Pediatrics, Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide SA 5000, Australia.
| | - Nina D'Vaz
- Telethon Kids Institute, University of Western Australia, Nedlands, WA 6009, Australia; School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia
| | - Courtney Kidd
- Telethon Kids Institute, University of Western Australia, Nedlands, WA 6009, Australia
| | - Andrea MacRae
- Telethon Kids Institute, University of Western Australia, Nedlands, WA 6009, Australia
| | - Shao J Zhou
- School of Agriculture, Food & Wine, The University of Adelaide, Urrbrae SA 5064, Australia; Robinson Research Institute, The University of Adelaide, Adelaide SA 5000, Australia
| | - Toby Richards
- School of Medicine, Division of Surgery, University of Western Australia, Perth WA 6009, Australia
| | - Debra J Palmer
- Telethon Kids Institute, University of Western Australia, Nedlands, WA 6009, Australia; School of Medicine, University of Western Australia, Crawley WA 6009, Australia
| | - Luke E Grzeskowiak
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide SA 5000, Australia; College of Medicine and Public Health, Flinders University, Bedford Park SA 5042, Australia
| | - Thomas R Sullivan
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide SA 5000, Australia; Discipline of Public Health, Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide SA 5000, Australia
| | - Tim J Green
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide SA 5000, Australia; College of Nursing and Health Sciences, Flinders University, Bedford Park SA 5042, Australia
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Takele WW, Vesco KK, Josefson J, Redman LM, Hannah W, Bonham MP, Chen M, Chivers SC, Fawcett AJ, Grieger JA, Habibi N, Leung GKW, Liu K, Mekonnen EG, Pathirana M, Quinteros A, Taylor R, Ukke GG, Zhou SJ, Lim S. Effective interventions in preventing gestational diabetes mellitus: A systematic review and meta-analysis. Commun Med (Lond) 2024; 4:75. [PMID: 38643248 PMCID: PMC11032369 DOI: 10.1038/s43856-024-00491-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 03/22/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND Lifestyle choices, metformin, and dietary supplements may prevent GDM, but the effect of intervention characteristics has not been identified. This review evaluated intervention characteristics to inform the implementation of GDM prevention interventions. METHODS Ovid, MEDLINE/PubMed, and EMBASE databases were searched. The Template for Intervention Description and Replication (TIDieR) framework was used to examine intervention characteristics (who, what, when, where, and how). Subgroup analysis was performed by intervention characteristics. RESULTS 116 studies involving 40,940 participants are included. Group-based physical activity interventions (RR 0.66; 95% CI 0.46, 0.95) reduce the incidence of GDM compared with individual or mixed (individual and group) delivery format (subgroup p-value = 0.04). Physical activity interventions delivered at healthcare facilities reduce the risk of GDM (RR 0.59; 95% CI 0.49, 0.72) compared with home-based interventions (subgroup p-value = 0.03). No other intervention characteristics impact the effectiveness of all other interventions. CONCLUSIONS Dietary, physical activity, diet plus physical activity, metformin, and myoinositol interventions reduce the incidence of GDM compared with control interventions. Group and healthcare facility-based physical activity interventions show better effectiveness in preventing GDM than individual and community-based interventions. Other intervention characteristics (e.g. utilization of e-health) don't impact the effectiveness of lifestyle interventions, and thus, interventions may require consideration of the local context.
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Affiliation(s)
- Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Oakland, USA
| | - Jami Josefson
- Northwestern University/ Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | | | - Wesley Hannah
- Madras Diabetes Research Foundation Chennai, Chennai, India
- Deakin University, Melbourne, Australia
| | - Maxine P Bonham
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, UK
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Department of Clinical & Organizational Development, University of Chicago, Chicago, IL, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Gloria K W Leung
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC, Australia
| | - Kai Liu
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC, Australia
| | | | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Rachael Taylor
- School of Health Sciences, University of Newcastle, Callaghan, NSW, Australia
| | - Gebresilasea G Ukke
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Shao J Zhou
- School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, Australia
| | - Siew Lim
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia.
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Demmelmair H, Uhl O, Zhou SJ, Makrides M, Gibson RA, Prosser C, Gallier S, Koletzko B. Plasma Sphingomyelins and Carnitine Esters of Infants Consuming Whole Goat or Cow Milk-Based Infant Formulas or Human Milk. J Nutr 2024:S0022-3166(24)00223-2. [PMID: 38615734 DOI: 10.1016/j.tjnut.2024.04.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/12/2024] [Accepted: 04/08/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Infant formulas are typically manufactured using skimmed milk, whey proteins, and vegetable oils, which excludes milk fat globule membranes (MFGM). MFGM contains polar lipids, including sphingomyelin (SM). OBJECTIVE The objective of this study was comparison of infant plasma SM and acylcarnitine species between infants who are breastfed or receiving infant formulas with different fat sources. METHODS In this explorative study, we focused on SM and acylcarnitine species concentrations measured in plasma samples from the TIGGA study (ACTRN12608000047392), where infants were randomly assigned to receive either a cow milk-based infant formula (CIF) with vegetable oils only or a goat milk-based infant formula (GIF) with a goat milk fat (including MFGM) and vegetable oil mixture to the age ≥4 mo. Breastfed infants were followed as a reference group. Using tandem mass spectrometry, SM species in the study formulas and SM and acylcarnitine species in plasma samples collected at the age of 4 mo were analyzed. RESULTS Total SM concentrations (∼42 μmol/L) and patterns of SM species were similar in both formulas. The total plasma SM concentrations were not different between the formula groups but were 15 % (CIF) and 21% (GIF) lower in the formula groups than in the breastfed group. Between the formula groups, differences in SM species were statistically significant but small. Total carnitine and major (acyl) carnitine species were not different between the groups. CONCLUSIONS The higher total SM concentration in breastfed than in formula-fed infants might be related to a higher SM content in human milk, differences in cholesterol metabolism, dietary fatty acid intake, or other factors not yet identified. SM and acylcarnitine species composition in plasma is not closely related to the formula fatty acid composition. This trial was registered at Australian New Zealand Clinical Trials Registry as ACTRN12608000047392.
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Affiliation(s)
- Hans Demmelmair
- Department of Pediatrics, Division of Metabolic and Nutritional Medicine, Ludwig Maximilians University Munich, Dr. von Hauner Children's Hospital, Munich, Germany.
| | - Olaf Uhl
- Department of Pediatrics, Division of Metabolic and Nutritional Medicine, Ludwig Maximilians University Munich, Dr. von Hauner Children's Hospital, Munich, Germany
| | - Shao J Zhou
- Food and Wine, School of Agriculture, University of Adelaide, Adelaide, Australia
| | - Maria Makrides
- Woman's and Children's Health Research Institute, University of Adelaide, Adelaide, Australia
| | - Robert A Gibson
- Food and Wine, School of Agriculture, University of Adelaide, Adelaide, Australia
| | - Colin Prosser
- Science Department, Dairy Goat Co-operative (NZ) Ltd, Hamilton, New Zealand
| | - Sophie Gallier
- Science Department, Dairy Goat Co-operative (NZ) Ltd, Hamilton, New Zealand
| | - Berthold Koletzko
- Department of Pediatrics, Division of Metabolic and Nutritional Medicine, Ludwig Maximilians University Munich, Dr. von Hauner Children's Hospital, Munich, Germany
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Sullivan TR, Best KP, Gould J, Zhou SJ, Makrides M, Green TJ. Too Much Too Little: Clarifying the Relationship Between Maternal Iodine Intake and Neurodevelopmental Outcomes. J Nutr 2024; 154:185-190. [PMID: 37716605 DOI: 10.1016/j.tjnut.2023.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/30/2023] [Accepted: 09/05/2023] [Indexed: 09/18/2023] Open
Abstract
BACKGROUND In 2009, the Australian government mandated the fortification of bread salt with iodine. In 2010, pregnant and lactating women were also advised to take an iodine-containing supplement. Our assessment of this policy in an iodine-sufficient population showed that children whose mothers were in the highest and lowest quartiles of iodine intake performed more poorly on early childhood tests of cognition and language than those in the second quartile. However, we did not quantify the iodine intake associated with optimal neurodevelopment. OBJECTIVES The aim was to establish the iodine intake range in pregnancy associated with optimal child neurodevelopment. METHODS A prospective cohort study of pregnant women and their young children (n = 699). Iodine intake was assessed by a validated food frequency questionnaire at 16 and 28 wk of gestation. Child neurodevelopment at 18 mo of age was measured using the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III). The relationship between average iodine intake during pregnancy and child neurodevelopment was assessed using linear regression with fractional polynomials and adjustment for confounders. RESULTS Mean (SD) iodine intake was similar at study entry and 28 wk, 308 (120) μg/d, with 82% of women taking iodine supplements at study entry. The relationship between iodine intake during pregnancy and Bayley-III cognitive and language scores was curvilinear (P = 0.001 and P = 0.004, respectively), with the lowest Bayley-III scores observed at lower and higher iodine intakes. The inflection point that drove the association between lower iodine intake in pregnancy and poorer child neurodevelopment scores was around 185 μg/d; for the higher pregnancy iodine intakes, language and cognitive scores were negatively affected from ∼350 μg/d to 370 μg/d, respectively. Higher iodine intakes were being driven by supplement use. CONCLUSIONS Targeted, not blanket, iodine supplementation may be needed for pregnant women with low-iodine intake from food.
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Affiliation(s)
- Thomas R Sullivan
- SAHMRI Women and Kids Theme, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia; Faculty of Health and Medical Sciences, School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia
| | - Karen P Best
- SAHMRI Women and Kids Theme, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia; Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Jacqueline Gould
- SAHMRI Women and Kids Theme, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia; Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Shao J Zhou
- School of Agriculture, Food and Wine, University of Adelaide, South Australia, Australia; Robinson Research Institute, University of Adelaide, South Australia, Australia
| | - Maria Makrides
- SAHMRI Women and Kids Theme, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia; Faculty of Health and Medical Sciences, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Tim J Green
- SAHMRI Women and Kids Theme, South Australia Health and Medical Research Institute, Adelaide, South Australia, Australia; College of Nursing and Health Sciences, Flinders University, Bedford Park, South Australia, Australia.
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Ma YH, Yin Y, Wang K, Zhou SJ, Tong XL, Li YM, Wang XL, Wang LP, Feng LZ, Yang WZ, Peng ZH. [Research and reflection on the diversified method system of multi-stages and multi-scenarios surveillance and early warning of infectious diseases]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1529-1535. [PMID: 37859367 DOI: 10.3760/cma.j.cn112150-20230610-00455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
With the outbreak of infectious diseases, more and more attention has been paid to surveillance and early warning work. Timely and accurate monitoring data is the basis of infectious diseases prevention and control. Effective early warning methods for infectious diseases can improve the timeliness and sensitivity of early warning work. This paper briefly introduces the intelligent early warning model of infectious diseases, summarizes the emerging surveillance and early warning methods of infectious diseases, and seeks the possibility of diversified surveillance and early warning in different epidemic stages and different outbreak scenarios of infectious diseases. This paper puts forward the idea of constructing a diversified method system of infectious diseases surveillance and early warning based on multi-stages and multi-scenarios and discusses the future development trend of infectious diseases surveillance and early warning, in order to provide reference for improving the construction level of infectious diseases surveillance and early warning system in China.
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Affiliation(s)
- Y H Ma
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Yin
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - K Wang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - S J Zhou
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - X L Tong
- Beijing Hospital Respiratory and Critical Care Department, Beijing 100005, China
| | - Y M Li
- Beijing Hospital Respiratory and Critical Care Department, Beijing 100005, China
| | - X L Wang
- Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - L P Wang
- Infectious Disease Prevention and Control Department of Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L Z Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medicine College, Beijing 100730, China
| | - W Z Yang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medicine College, Beijing 100730, China
| | - Z H Peng
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
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6
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Lim S, Takele WW, Vesco KK, Redman LM, Hannah W, Bonham MP, Chen M, Chivers SC, Fawcett AJ, Grieger JA, Habibi N, Leung GKW, Liu K, Mekonnen EG, Pathirana M, Quinteros A, Taylor R, Ukke GG, Zhou SJ, Josefson J. Participant characteristics in the prevention of gestational diabetes as evidence for precision medicine: a systematic review and meta-analysis. Commun Med (Lond) 2023; 3:137. [PMID: 37794119 PMCID: PMC10551015 DOI: 10.1038/s43856-023-00366-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 09/20/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Precision prevention involves using the unique characteristics of a particular group to determine their responses to preventive interventions. This study aimed to systematically evaluate the participant characteristics associated with responses to interventions in gestational diabetes mellitus (GDM) prevention. METHODS We searched MEDLINE, EMBASE, and Pubmed to identify lifestyle (diet, physical activity, or both), metformin, myoinositol/inositol and probiotics interventions of GDM prevention published up to May 24, 2022. RESULTS From 10347 studies, 116 studies (n = 40940 women) are included. Physical activity results in greater GDM reduction in participants with a normal body mass index (BMI) at baseline compared to obese BMI (risk ratio, 95% confidence interval: 0.06 [0.03, 0.14] vs 0.68 [0.26, 1.60]). Combined diet and physical activity interventions result in greater GDM reduction in participants without polycystic ovary syndrome (PCOS) than those with PCOS (0.62 [0.47, 0.82] vs 1.12 [0.78-1.61]) and in those without a history of GDM than those with unspecified GDM history (0.62 [0.47, 0.81] vs 0.85 [0.76, 0.95]). Metformin interventions are more effective in participants with PCOS than those with unspecified status (0.38 [0.19, 0.74] vs 0.59 [0.25, 1.43]), or when commenced preconception than during pregnancy (0.21 [0.11, 0.40] vs 1.15 [0.86-1.55]). Parity, history of having a large-for-gestational-age infant or family history of diabetes have no effect on intervention responses. CONCLUSIONS GDM prevention through metformin or lifestyle differs according to some individual characteristics. Future research should include trials commencing preconception and provide results disaggregated by a priori defined participant characteristics including social and environmental factors, clinical traits, and other novel risk factors to predict GDM prevention through interventions.
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Affiliation(s)
- Siew Lim
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
| | - Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Oakland, USA
| | | | - Wesley Hannah
- Madras Diabetes Research Foundation Chennai, Chennai, India
- Deakin University, Melbourne, Australia
| | - Maxine P Bonham
- Department of Nutrition and Dietetics, Monash University, Melbourne, Victoria, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, United Kingdom
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Department of Clinical & Organizational Development, University of Chicago, Chicago, IL, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Gloria K W Leung
- Department of Nutrition and Dietetics, Monash University, Melbourne, Victoria, Australia
| | - Kai Liu
- Department of Nutrition and Dietetics, Monash University, Melbourne, Victoria, Australia
| | | | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Rachael Taylor
- School of Health Sciences, University of Newcastle, Newcastle, Australia
| | - Gebresilasea G Ukke
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Shao J Zhou
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, Australia
- American Diabetes Association (ADA) and European Association for the Study of Diabetes (EASD) Precision Medicine in Diabetes Initiative (PMDI) led by Paul Franks, Malmo, Sweden
| | - Jami Josefson
- Northwestern University/ Lurie Children's Hospital of Chicago, Chicago, USA.
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7
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Tobias DK, Merino J, Ahmad A, Aiken C, Benham JL, Bodhini D, Clark AL, Colclough K, Corcoy R, Cromer SJ, Duan D, Felton JL, Francis EC, Gillard P, Gingras V, Gaillard R, Haider E, Hughes A, Ikle JM, Jacobsen LM, Kahkoska AR, Kettunen JLT, Kreienkamp RJ, Lim LL, Männistö JME, Massey R, Mclennan NM, Miller RG, Morieri ML, Most J, Naylor RN, Ozkan B, Patel KA, Pilla SJ, Prystupa K, Raghavan S, Rooney MR, Schön M, Semnani-Azad Z, Sevilla-Gonzalez M, Svalastoga P, Takele WW, Tam CHT, Thuesen ACB, Tosur M, Wallace AS, Wang CC, Wong JJ, Yamamoto JM, Young K, Amouyal C, Andersen MK, Bonham MP, Chen M, Cheng F, Chikowore T, Chivers SC, Clemmensen C, Dabelea D, Dawed AY, Deutsch AJ, Dickens LT, DiMeglio LA, Dudenhöffer-Pfeifer M, Evans-Molina C, Fernández-Balsells MM, Fitipaldi H, Fitzpatrick SL, Gitelman SE, Goodarzi MO, Grieger JA, Guasch-Ferré M, Habibi N, Hansen T, Huang C, Harris-Kawano A, Ismail HM, Hoag B, Johnson RK, Jones AG, Koivula RW, Leong A, Leung GKW, Libman IM, Liu K, Long SA, Lowe WL, Morton RW, Motala AA, Onengut-Gumuscu S, Pankow JS, Pathirana M, Pazmino S, Perez D, Petrie JR, Powe CE, Quinteros A, Jain R, Ray D, Ried-Larsen M, Saeed Z, Santhakumar V, Kanbour S, Sarkar S, Monaco GSF, Scholtens DM, Selvin E, Sheu WHH, Speake C, Stanislawski MA, Steenackers N, Steck AK, Stefan N, Støy J, Taylor R, Tye SC, Ukke GG, Urazbayeva M, Van der Schueren B, Vatier C, Wentworth JM, Hannah W, White SL, Yu G, Zhang Y, Zhou SJ, Beltrand J, Polak M, Aukrust I, de Franco E, Flanagan SE, Maloney KA, McGovern A, Molnes J, Nakabuye M, Njølstad PR, Pomares-Millan H, Provenzano M, Saint-Martin C, Zhang C, Zhu Y, Auh S, de Souza R, Fawcett AJ, Gruber C, Mekonnen EG, Mixter E, Sherifali D, Eckel RH, Nolan JJ, Philipson LH, Brown RJ, Billings LK, Boyle K, Costacou T, Dennis JM, Florez JC, Gloyn AL, Gomez MF, Gottlieb PA, Greeley SAW, Griffin K, Hattersley AT, Hirsch IB, Hivert MF, Hood KK, Josefson JL, Kwak SH, Laffel LM, Lim SS, Loos RJF, Ma RCW, Mathieu C, Mathioudakis N, Meigs JB, Misra S, Mohan V, Murphy R, Oram R, Owen KR, Ozanne SE, Pearson ER, Perng W, Pollin TI, Pop-Busui R, Pratley RE, Redman LM, Redondo MJ, Reynolds RM, Semple RK, Sherr JL, Sims EK, Sweeting A, Tuomi T, Udler MS, Vesco KK, Vilsbøll T, Wagner R, Rich SS, Franks PW. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine. Nat Med 2023; 29:2438-2457. [PMID: 37794253 PMCID: PMC10735053 DOI: 10.1038/s41591-023-02502-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/14/2023] [Indexed: 10/06/2023]
Abstract
Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.
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Affiliation(s)
- Deirdre K Tobias
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Merino
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Abrar Ahmad
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Catherine Aiken
- Department of Obstetrics and Gynaecology, The Rosie Hospital, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Jamie L Benham
- Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Dhanasekaran Bodhini
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Amy L Clark
- Division of Pediatric Endocrinology, Department of Pediatrics, Saint Louis University School of Medicine, SSM Health Cardinal Glennon Children's Hospital, St. Louis, MO, USA
| | - Kevin Colclough
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Rosa Corcoy
- CIBER-BBN, ISCIII, Madrid, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Sara J Cromer
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Daisy Duan
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jamie L Felton
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ellen C Francis
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | | | - Véronique Gingras
- Department of Nutrition, Université de Montréal, Montreal, Quebec, Quebec, Canada
- Research Center, Sainte-Justine University Hospital Center, Montreal, Quebec, Quebec, Canada
| | - Romy Gaillard
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Eram Haider
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Alice Hughes
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jennifer M Ikle
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | | | - Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jarno L T Kettunen
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Raymond J Kreienkamp
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Pediatrics, Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Asia Diabetes Foundation, Hong Kong SAR, China
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jonna M E Männistö
- Departments of Pediatrics and Clinical Genetics, Kuopio University Hospital, Kuopio, Finland
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Robert Massey
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Niamh-Maire Mclennan
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Rachel G Miller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mario Luca Morieri
- Metabolic Disease Unit, University Hospital of Padova, Padova, Italy
- Department of Medicine, University of Padova, Padova, Italy
| | - Jasper Most
- Department of Orthopedics, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
| | - Rochelle N Naylor
- Departments of Pediatrics and Medicine, University of Chicago, Chicago, IL, USA
| | - Bige Ozkan
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kashyap Amratlal Patel
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Scott J Pilla
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Katsiaryna Prystupa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Sridharan Raghavan
- Section of Academic Primary Care, US Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Mary R Rooney
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Martin Schön
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Magdalena Sevilla-Gonzalez
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Pernille Svalastoga
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Claudia Ha-Ting Tam
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Cathrine B Thuesen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mustafa Tosur
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Amelia S Wallace
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Caroline C Wang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jessie J Wong
- Stanford University School of Medicine, Stanford, CA, USA
| | | | - Katherine Young
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Chloé Amouyal
- Department of Diabetology, APHP, Paris, France
- Sorbonne Université, INSERM, NutriOmic team, Paris, France
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maxine P Bonham
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - Feifei Cheng
- Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Tinashe Chikowore
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, UK
| | - Christoffer Clemmensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Adem Y Dawed
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Aaron J Deutsch
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Laura T Dickens
- Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Linda A DiMeglio
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Carmella Evans-Molina
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Richard L. Roudebush VAMC, Indianapolis, IN, USA
| | - María Mercè Fernández-Balsells
- Biomedical Research Institute Girona, IdIBGi, Girona, Spain
- Diabetes, Endocrinology and Nutrition Unit Girona, University Hospital Dr Josep Trueta, Girona, Spain
| | - Hugo Fitipaldi
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Stephanie L Fitzpatrick
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Stephen E Gitelman
- University of California at San Francisco, Department of Pediatrics, Diabetes Center, San Francisco, CA, USA
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Chuiguo Huang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Arianna Harris-Kawano
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Heba M Ismail
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Benjamin Hoag
- Division of Endocrinology and Diabetes, Department of Pediatrics, Sanford Children's Hospital, Sioux Falls, SD, USA
- University of South Dakota School of Medicine, E Clark St, Vermillion, SD, USA
| | - Randi K Johnson
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Angus G Jones
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Robert W Koivula
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Aaron Leong
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gloria K W Leung
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | | | - Kai Liu
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - S Alice Long
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Robert W Morton
- Department of Pathology & Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Sofia Pazmino
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Dianna Perez
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John R Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Camille E Powe
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Rashmi Jain
- Sanford Children's Specialty Clinic, Sioux Falls, SD, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - Debashree Ray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mathias Ried-Larsen
- Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark
- Institute for Sports and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Zeb Saeed
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Vanessa Santhakumar
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Kanbour
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- AMAN Hospital, Doha, Qatar
| | - Sudipa Sarkar
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Gabriela S F Monaco
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Elizabeth Selvin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wayne Huey-Herng Sheu
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Taiwan
- Divsion of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Cate Speake
- Center for Interventional Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Nele Steenackers
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- University Hospital of Tübingen, Tübingen, Germany
| | - Julie Støy
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | | | - Sok Cin Tye
- Sections on Genetics and Epidemiology, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Marzhan Urazbayeva
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Gastroenterology, Baylor College of Medicine, Houston, TX, USA
| | - Bart Van der Schueren
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium
| | - Camille Vatier
- Sorbonne University, Inserm U938, Saint-Antoine Research Centre, Institute of Cardiometabolism and Nutrition, Paris, France
- Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Paris, France
| | - John M Wentworth
- Royal Melbourne Hospital Department of Diabetes and Endocrinology, Parkville, Victoria, Australia
- Walter and Eliza Hall Institute, Parkville, Victoria, Australia
- University of Melbourne Department of Medicine, Parkville, Victoria, Australia
| | - Wesley Hannah
- Deakin University, Melbourne, Victoria, Australia
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India
| | - Sara L White
- Department of Women and Children's Health, King's College London, London, UK
- Department of Diabetes and Endocrinology, Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Gechang Yu
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingchai Zhang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shao J Zhou
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - Jacques Beltrand
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Michel Polak
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Elisa de Franco
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrew McGovern
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Mariam Nakabuye
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pål Rasmus Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Hugo Pomares-Millan
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Michele Provenzano
- Nephrology, Dialysis and Renal Transplant Unit, IRCCS-Azienda Ospedaliero-Universitaria di Bologna, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Cuilin Zhang
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sungyoung Auh
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Russell de Souza
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Clinical and Organizational Development, Chicago, IL, USA
| | | | - Eskedar Getie Mekonnen
- College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Emily Mixter
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Diana Sherifali
- Population Health Research Institute, Hamilton, Ontario, Canada
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Robert H Eckel
- Division of Endocrinology, Metabolism, Diabetes, University of Colorado, Aurora, CO, USA
| | - John J Nolan
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Department of Endocrinology, Wexford General Hospital, Wexford, Ireland
| | - Louis H Philipson
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Rebecca J Brown
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA
- Department of Medicine, Prtizker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Kristen Boyle
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tina Costacou
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - John M Dennis
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jose C Florez
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anna L Gloyn
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | - Maria F Gomez
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Faculty of Health, Aarhus University, Aarhus, Denmark
| | - Peter A Gottlieb
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Siri Atma W Greeley
- Departments of Pediatrics and Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Kurt Griffin
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
- Sanford Research, Sioux Falls, SD, USA
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, WA, USA
| | - Marie-France Hivert
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Korey K Hood
- Stanford University School of Medicine, Stanford, CA, USA
| | - Jami L Josefson
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Siew S Lim
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Ruth J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ronald C W Ma
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | | | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Shivani Misra
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes & Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Rinki Murphy
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Auckland, New Zealand
- Medical Bariatric Service, Te Whatu Ora Counties, Health New Zealand, Auckland, New Zealand
| | - Richard Oram
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Katharine R Owen
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Susan E Ozanne
- University of Cambridge, Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, Cambridge, UK
| | - Ewan R Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Maria J Redondo
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
| | - Rebecca M Reynolds
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Robert K Semple
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Emily K Sims
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arianne Sweeting
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Tiinamaija Tuomi
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Miriam S Udler
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Tina Vilsbøll
- Clinial Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Robert Wagner
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Paul W Franks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark.
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8
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Zhang JH, Zhou SJ, Kuang Z, Qin ZH, Tan LW, Shao YT. [Expression profile of circular RNA in inflammatory response in human bronchial epithelial cells induced by carbon black nanoparticles]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:576-581. [PMID: 37667152 DOI: 10.3760/cma.j.cn121094-20220501-00251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Objective: To explore the toxic effect of carbon black nanoparticles on human bronchial epithelial cells, and identify the differentially expressed circular RNA based on the full transcriptome high-throughput sequencing, so as to provide evidence for the development of biomarkers exposed to carbon black nanoparticles and their application on epigenetic toxicology. Methods: In June 2020, 16 HBE cells were treated with carbon black nanoparticles at concentrations of 20, 40 and 80 μg/ml, and 16 HBE cells without any intervention were used as the control group. The cytotoxicity of carbon black nanoparticles was detected by CCK8 and LDH experiments. Real-time quantitative fluorescent PCR (qRT-PCR) and ELISA were used to detect the changes of interleukin-6 (IL-6) and interleukin-8 (IL-6, IL-8) mRNA and protein levels of carbon black nanoparticles with concentration gradient after 72 h exposure. Western blot analysis was conducted to detect the expression levels of toll-like receptor 4 (TLR4), phosphorylated nuclear factor-κB (P-NF-κB), apoptosis-related speckled protein (ASC) and Caspase-1 associated with nuclear factor-κB. According to high-throughput sequencing results, differentially expressed Circrnas were screened and identified by qRT-PCR, and those with stable differentially expressed circrnas and the strongest association with the NF-κB pathway were selected for ring performance identification. Results: After being exposed to carbon black nanoparticles for 72 h, the activity of 16HBE cells decreased significantly (P<0.05), and the release of lactate dehydrogenase increased significantly (P<0.05). Compared with control group, mRNA expression levels of IL-6 and IL-8, protein levels of IL-6 and IL-8 were increased, and protein levels of TLR4, p-NF-κB, ASC and Caspase-1 were significantly up-regulated in 16 HBE cells of different concentrations, with statistical significance (P<0.05). Compared with the control group, a total of 492 differentially expressed circular Rnas (|log2 FC|>1) were detected. Among the 5 differentially expressed (P<0.05) circular Rnas, circ_002642 was selected as the object of subsequent research on circular Rnas, affter 72 hours of exposure to 80 μg/ml CBNPs, 16HBE cells showed signlficantly higher expression of circ_002642 (P<0.05) . Conclusion: Carbon black nanoparticles can induce differentially expressed circular RNAs associated with inflammatory response in human bronchial epithelial cells.
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Affiliation(s)
- J H Zhang
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - S J Zhou
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Z Kuang
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Z H Qin
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - L W Tan
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Y T Shao
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
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9
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Best KP, Gould JF, Makrides M, Sullivan T, Cheong J, Zhou SJ, Kane S, Safa H, Sparks A, Doyle LW, McPhee AJ, Nippita TAC, Afzali HHA, Grivell R, Mackerras D, Knight E, Wood S, Green T. Prenatal iodine supplementation and early childhood neurodevelopment: the PoppiE trial - study protocol for a multicentre randomised controlled trial. BMJ Open 2023; 13:e071359. [PMID: 37164467 PMCID: PMC10173960 DOI: 10.1136/bmjopen-2022-071359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/12/2023] Open
Abstract
INTRODUCTION Observational studies suggest both low and high iodine intakes in pregnancy are associated with poorer neurodevelopmental outcomes in children. This raises concern that current universal iodine supplement recommendations for pregnant women in populations considered to be iodine sufficient may negatively impact child neurodevelopment. We aim to determine the effect of reducing iodine intake from supplements for women who have adequate iodine intake from food on the cognitive development of children at 24 months of age. METHODS AND ANALYSIS A multicentre, randomised, controlled, clinician, researcher and participant blinded trial with two parallel groups. Using a hybrid decentralised clinical trial model, 754 women (377 per group) less than 13 weeks' gestation with an iodine intake of ≥165 µg/day from food will be randomised to receive either a low iodine (20 µg/day) multivitamin and mineral supplement or an identical supplement containing 200) µg/day (amount commonly used in prenatal supplements in Australia), from enrolment until delivery. The primary outcome is the developmental quotient of infants at 24 months of age assessed with the Cognitive Scale of the Bayley Scales of Infant Development, fourth edition. Secondary outcomes include infant language and motor development; behavioural and emotional development; maternal and infant clinical outcomes and health service utilisation of children. Cognitive scores will be compared between groups using linear regression, with adjustment for location of enrolment and the treatment effect described as a mean difference with 95% CI. ETHICS AND DISSEMINATION Ethical approval has been granted from the Women's and Children's Health Network Research Ethics Committee (HREC/17/WCHN/187). The results of this trial will be presented at scientific conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT04586348.
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Affiliation(s)
- Karen P Best
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Jacqueline F Gould
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Maria Makrides
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Thomas Sullivan
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia
| | - Jeanie Cheong
- Newborn Services, Royal Women's Hospital, Parkville, Victoria, Australia
- Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, Victoria, Australia
| | - Shao J Zhou
- School of Agriculture, Food & Wine, The University of Adelaide, Adelaide, South Australia, Australia
| | - Stefan Kane
- Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, Victoria, Australia
- Department of Maternal Fetal Medicine, Royal Women's Hospital, Parkville, Victoria, Australia
| | - Huda Safa
- School of Medicine, University of Queensland, Brisbane, Queensland, Australia
- Department of Obstetrics and Gynaecology, Mater Mothers' Hospital, Brisbane, Queensland, Australia
| | - A Sparks
- Department of Neonatology, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Lex W Doyle
- Department of Maternal Fetal Medicine, Royal Women's Hospital, Parkville, Victoria, Australia
- Obstetrics and Gynaecology, Royal Women's Hospital, Parkville, Victoria, Australia
| | - A J McPhee
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Tanya A C Nippita
- Women and Babies, Kolling Institute of Medical Research, St Leonards, New South Wales, Australia
- Northern Clinical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Hossein H A Afzali
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Rosalie Grivell
- Department of Obstetrics and Gynaecology, Flinders University, Adelaide, South Australia, Australia
| | - D Mackerras
- Menzies School of Health Research, Casuarina, Northern Territory, Australia
| | - E Knight
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia
| | - Simon Wood
- Faculty of Land and Food Systems, University of British Columbia, Victoria, British Columbia, Canada
- Faculty of Science and Engineering, Curtin University, Perth, Western Australia, Australia
| | - Tim Green
- Women and Kids Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
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10
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Jin Y, Coad J, Skeaff S, Zhou SJ, Benn C, Brough L. Iodine-only supplements for breastfeeding women: a call to action in New Zealand. N Z Med J 2022; 135:113-115. [PMID: 36521091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Affiliation(s)
- Ying Jin
- School of Health Sciences, College of Health, Massey University, Palmerston North, New Zealand
| | - Jane Coad
- Nutrition Science, School of Food and Advance Technology, College of Sciences, Massey University, New Zealand
| | - Sheila Skeaff
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Shao J Zhou
- School of Agriculture, Food and Wine, Faculty of Sciences, University of Adelaide, Australia
| | - Cheryl Benn
- Midwife and Regional Midwifery Advisor to the Mid Central and Whanganui District Health Board, Palmerston North, New Zealand
| | - Louise Brough
- Nutrition Science, School of Food and Advance Technology, College of Science, Massey University, Palmerston North, New Zealand
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Habibi N, Mousa A, Tay CT, Khomami MB, Patten RK, Andraweera PH, Wassie M, Vandersluys J, Aflatounian A, Bianco‐Miotto T, Zhou SJ, Grieger JA. Maternal metabolic factors and the association with gestational diabetes: A systematic review and meta-analysis. Diabetes Metab Res Rev 2022; 38:e3532. [PMID: 35421281 PMCID: PMC9540632 DOI: 10.1002/dmrr.3532] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/10/2022] [Accepted: 02/26/2022] [Indexed: 11/10/2022]
Abstract
Gestational diabetes (GDM) is associated with several adverse outcomes for the mother and child. Higher levels of individual lipids are associated with risk of GDM and metabolic syndrome (MetS), a clustering of risk factors also increases risk for GDM. Metabolic factors can be modified by diet and lifestyle. This review comprehensively evaluates the association between MetS and its components, measured in early pregnancy, and risk for GDM. Databases (Cumulative Index to Nursing and Allied Health Literature, PubMed, Embase, and Cochrane Library) were searched from inception to 5 May 2021. Eligible studies included ≥1 metabolic factor (waist circumference, blood pressure, fasting plasma glucose (FPG), triglycerides, and high-density lipoprotein cholesterol), measured at <16 weeks' gestation. At least two authors independently screened potentially eligible studies. Heterogeneity was quantified using I2 . Data were pooled by random-effects models and expressed as odds ratio and 95% confidence intervals (CIs). Of 7213 articles identified, 40 unique articles were included in meta-analysis. In analyses adjusting for maternal age and body mass index, GDM was increased with increasing FPG (odds ratios [OR] 1.92; 95% CI 1.39-2.64, k = 7 studies) or having MetS (OR 2.52; 1.65, 3.84, k = 3). Women with overweight (OR 2.17; 95% CI 1.89, 2.50, k = 12) or obesity (OR 4.34; 95% CI 2.79-6.74, k = 9) also were at increased risk for GDM. Early pregnancy assessment of glucose or the MetS, offers a potential opportunity to detect and treat individual risk factors as an approach towards GDM prevention; weight loss for pregnant women with overweight or obesity is not recommended. Systematic review registration: PROSPERO CRD42020199225.
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Affiliation(s)
- Nahal Habibi
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Chau Thien Tay
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Mahnaz Bahri Khomami
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Rhiannon K. Patten
- Institute for Health and SportVictoria UniversityMelbourneVictoriaAustralia
| | - Prabha H. Andraweera
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Department of Cardiology, Lyell McEwin HospitalElizabeth ValeSouth AustraliaAustralia
| | - Molla Wassie
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Jared Vandersluys
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Ali Aflatounian
- School of Women's and Children's Health, University of New South WalesSydneyNew South WalesAustralia
| | - Tina Bianco‐Miotto
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Shao J. Zhou
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Jessica A. Grieger
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
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12
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Jin Y, Coad J, Zhou SJ, Skeaff S, Ramilan T, Brough L. Prevalence of thyroid dysfunction in postpartum women with suboptimal iodine and selenium and adequate iron status. Clin Endocrinol (Oxf) 2021; 95:873-881. [PMID: 34008190 DOI: 10.1111/cen.14502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/03/2021] [Accepted: 05/14/2021] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Postpartum women experience thyroid dysfunction at twice the prevalence of the general population. Adequate biosynthesis of thyroid hormones depends on three trace elements: iodine, selenium and iron. This study aimed to investigate thyroid dysfunction within a cohort of women at six months postpartum in relation to iodine, selenium and iron status. DESIGN This cross-sectional study was part of an observational longitudinal cohort Mother and Infant Nutrition Investigation; data obtained at six months postpartum are reported. SUBJECTS Mother-infant pairs (n = 87) were recruited at three months postpartum and followed up at six months postpartum (n = 78). MEASUREMENTS Thyroid hormones (free triiodothyronine, free thyroxine, thyroid-stimulating hormone) and thyroid peroxidase antibodies were measured. Urinary iodine concentration, breast milk iodine concentration, serum thyroglobulin, plasma selenium, serum ferritin and serum soluble transferrin receptors were determined. Nonparametric data were expressed as median (25th, 75th percentile). RESULTS Thyroid dysfunction was found in 18% of women, and 4% of women had iron deficiency. Median urinary iodine concentration was 85 (43, 134) µg/L, median breast milk iodine concentration was 59 (39, 109) µg/L, and median serum thyroglobulin at 11.4 (8.6, 18.6) µg/L, indicating iodine deficiency. Median plasma selenium concentration was 105.8 (95.6, 115.3) µg/L. Women with marginally lower plasma selenium concentration were 1.12% times more likely to have abnormal TSH concentrations (p = .001). CONCLUSIONS There was a high prevalence of thyroid dysfunction. Plasma selenium concentration was the only significant predictor of the likelihood that women had thyroid dysfunction within this cohort, who were iodine deficient and mostly had adequate iron status. Strategies are required to improve both iodine and selenium status to better support maternal thyroid function.
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Affiliation(s)
- Ying Jin
- School of Health Sciences, College of Health, Massey University, Palmerston North, New Zealand
| | - Jane Coad
- Nutrition Science, School of Food and Advanced Technology, College of Sciences, Massey University, Palmerston North, New Zealand
| | - Shao J Zhou
- School of Agriculture, Food and Wine, Faculty of Sciences & Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Sheila Skeaff
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Thiagarajah Ramilan
- School of Agriculture and Environment, College of Sciences, Massey University, Palmerston North, New Zealand
- School of Agriculture and Food, The University of Melbourne, Victoria, Australia
| | - Louise Brough
- Nutrition Science, School of Food and Advanced Technology, College of Sciences, Massey University, Palmerston North, New Zealand
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13
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Jin Y, Coad J, Zhou SJ, Skeaff S, Benn C, Brough L. Use of Iodine Supplements by Breastfeeding Mothers Is Associated with Better Maternal and Infant Iodine Status. Biol Trace Elem Res 2021; 199:2893-2903. [PMID: 33094447 DOI: 10.1007/s12011-020-02438-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 10/11/2020] [Indexed: 12/21/2022]
Abstract
Adequate iodine status during conception, pregnancy and lactation is essential for supporting infant neurodevelopment. Iodine status in adults and children was improved after two New Zealand government initiatives, but the status of breastfeeding women is unknown. This study aimed to investigate the iodine intake and status of lactating mother-infant pairs at 3 months postpartum and to assess maternal iodine knowledge and practice. Iodine intake was estimated by a weighed 4-day diet diary (4DDD). Maternal urinary iodine concentrations (UIC) in spot urine, breast milk iodine concentrations (BMIC) and infant UIC were measured. Questions about iodine-specific knowledge and practice were asked. In 87 breastfeeding mother-infant pairs, maternal iodine intake was 151 (99, 285) μg/day, and 58% had an intake below the estimated average requirement (EAR) of 190 μg/day. Maternal median UIC (MUIC) was 82 (46, 157) μg/L indicating iodine deficiency (i.e., < 100 μg/L). Women who used iodine-containing supplements had a significantly higher MUIC (111 vs 68 μg/L, P = 0.023) and BMIC (84 vs 62 μg/L, P < 0.001) than non-users. Infants fed by women using iodine-containing supplements had a higher MUIC (150 vs 86 μg/L, P = 0.036) than those of non-users. A total of 66% (57/87) of women had no or low iodine knowledge. The iodine knowledge score was a statistically significant predictor of consuming iodine-containing supplements [(beta = 1.321, P = 0.008)]. Despite a decade of initiatives to increase iodine intakes in New Zealand, iodine knowledge was low; iodine intake and status of these lactating women were suboptimal, but women who used iodine-containing supplement were more likely to achieve adequate status.Study Registration Number (Australia and New Zealand Clinical Trials Registry): ACTRN12615001028594.
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Affiliation(s)
- Ying Jin
- School of Health Sciences, College of Health, Massey University, Palmerston North, New Zealand
| | - Jane Coad
- Nutrition Science, School of Food and Advance Technology, College of Sciences, Massey University, Private Bag 11 222, Palmerston North, 4474, New Zealand
| | - Shao J Zhou
- School of Agriculture, Food and Wine, Faculty of Sciences & Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Sheila Skeaff
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Cheryl Benn
- Mid Central and Whanganui District Health Board, Palmerston North, New Zealand
| | - Louise Brough
- Nutrition Science, School of Food and Advance Technology, College of Sciences, Massey University, Private Bag 11 222, Palmerston North, 4474, New Zealand.
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14
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Xu LL, Shen WW, Chen XX, Li GX, Xu YY, Gao MY, Zhou SJ, Lin HJ, He N. [HIV-1 drug resistance and subtypes in newly reported HIV/AIDS patients before antiretroviral therapy in Taizhou city, 2016-2018]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:711-715. [PMID: 34814456 DOI: 10.3760/cma.j.cn112338-20200706-00926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the HIV-1 drug resistance and subtypes in newly reported HIV/AIDS patients before antiretroviral therapy (ART) in Taizhou city. Methods: A cross-sectional study of HIV-1 drug resistance was conducted among newly reported HIV/AIDS patients before ART in Taizhou from January 2016 to December 2018. HIV-1 pol gene sequences were obtained by RT-PCR. The sequences were submitted to the Stanford University drug resistance database. The drug resistance mutation and the sensitivity of HIV-1 strains to antiretroviral drugs were determined according to WHO Guidelines on HIV drug resistance surveillance of 2014. Results: A total of 806 HIV-1 pol gene sequences were obtained successfully. The overall HIV-1 drug resistance rate was 2.9% (23/806), 1.9% for non-nucleoside reverse transcriptase inhibitors (NNRTIs), 0.6% for nucleoside reverse transcriptase inhibitors (NRTIs), and 0.0% for protease inhibitors (PIs), respectively. From 2016 to 2018, the HIV-1 drug resistance rate was 1.6%, 1.8%, and 4.8%, respectively. The resistance mutations of NNRTIs and NRTIs were mainly K103 N (0.7%) and M184I/V (0.5%). HIV-1 subtypes were mostly CRF01_AE (42.7%,344/806),CRF07_BC (28.9%,233/806) and CRF08_BC (11.2%,90/806).HIV-1 subtypes among homosexually transmitted infections were mostly CRF01_AE (53.3%, 136/255) and CRF07_BC (32.2%, 82/255), and HIV-1 subtypes among heterosexually transmitted infections were mainly CRF01_AE (37.7%, 203/539), CRF07_BC (27.5%, 148/539) and CRF08_BC (16.1%, 87/539). Conclusion: HIV-1 drug resistance rate among newly reported HIV/AIDS patients before ART remained low in Taizhou during 2016 to 2018, an increasing trend seemed to be notifiable and warrants continuous surveillance of HIV-1 drug resistance.
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Affiliation(s)
- L L Xu
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - W W Shen
- Taizhou City Center for Disease Control and Prevention, Taizhou 318000, China
| | - X X Chen
- Taizhou City Center for Disease Control and Prevention, Taizhou 318000, China
| | - G X Li
- Taizhou City Center for Disease Control and Prevention, Taizhou 318000, China
| | - Y Y Xu
- Taizhou City Center for Disease Control and Prevention, Taizhou 318000, China
| | - M Y Gao
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - S J Zhou
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - H J Lin
- Taizhou City Center for Disease Control and Prevention, Taizhou 318000, China
| | - N He
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
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15
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Qiao SJ, Zhou SJ, Xu LL, Chen XX, Xu YY, Shen WW, Liu X, Lin HJ, He N. [Prevalence and correlates of plasma cytomegalovirus viremia among newly reported HIV/AIDS patients in Taizhou city, 2017-2018]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:316-320. [PMID: 33626622 DOI: 10.3760/cma.j.cn112338-20200420-00601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To study the prevalence and correlates of plasma cytomegalovirus (CMV) viremia among newly reported antiretroviral therapy (ART)-naive HIV/AIDS patients in Taizhou during 2017-2018. Methods: CMV DNA was measured in plasma specimens of newly reported ART-naive HIV/AIDS patients by quantitative PCR. Both univariable and multivariable logistic regression analyses were carried out to evaluate CMV viremia correlations among the individuals. Results: Of 612 HIV/AIDS patients, 480 (78.4%) were male, 125 (20.4%) were over 60 years old, 177 (28.9%) were infected via homosexual transmission, and 430 (70.3%) via heterosexual transmission. The prevalence of CMV viremia among HIV/AIDS patients was 13.4% (82/612). Multivariable logistic regression analysis showed that the risk of CMV viremia in CD4+ lymphocyte cells counts (CD4+) ≤200 cells/μl group was higher than CD4 counts >500 cells/μl (OR=5.10, 95%CI:1.74-14.96, P=0.003); The median CMV DNA level (log10) of 82 viremic patients was 1.57 (P25,P75:1.04,2.13); Viremic patients with CD4 counts ≤200 cells/μl had the highest CMV viral load (P<0.01). Conclusions: Among ART-naive HIV/AIDS patients, the prevalence of CMV viremia was significantly associated with immunodeficiency status. Further research is needed to evaluate the association between CMV viremia and the course of HIV infection.
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Affiliation(s)
- S J Qiao
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - S J Zhou
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - L L Xu
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - X X Chen
- Taizhou City Center for Disease Control and Prevention, Taizhou 318000, China
| | - Y Y Xu
- Taizhou City Center for Disease Control and Prevention, Taizhou 318000, China
| | - W W Shen
- Taizhou City Center for Disease Control and Prevention, Taizhou 318000, China
| | - X Liu
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - H J Lin
- Taizhou City Center for Disease Control and Prevention, Taizhou 318000, China
| | - N He
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
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16
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Jin Y, Coad J, Zhou SJ, Skeaff S, Benn C, Kim N, Pond RL, Brough L. Mother and Infant Nutrition Investigation in New Zealand (MINI Project): Protocol for an Observational Longitudinal Cohort Study. JMIR Res Protoc 2020; 9:e18560. [PMID: 32852279 PMCID: PMC7484772 DOI: 10.2196/18560] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 06/25/2020] [Accepted: 06/25/2020] [Indexed: 12/31/2022] Open
Abstract
Background Thyroid dysfunction is associated with cognitive impairment, mood disturbance, and postnatal depression. Sufficient thyroid hormone synthesis requires adequate intake of iodine, selenium, and iron. Iodine deficiency was historically a problem for New Zealand, and initiatives were introduced to overcome the problem: (1) mandatory fortification of all bread (except organic) with iodized salt (2009) and (2) provision of subsidized iodine supplements for pregnant and breastfeeding women (2010). Subsequent to these initiatives, most adults and children have adequate iodine status; however, status among breastfeeding women and their infants remains unclear. This paper outlines the methodology of the Mother and Infant Nutrition Investigation (MINI) study: an observational longitudinal cohort study of breastfeeding women and their infants. Objective This study will determine (1) women’s iodine intake and status among supplement users and nonusers; (2) women’s intake and status of iodine, selenium, and iron relating to thyroid function; (3) associations between women’s selenium status, thyroid function, and postnatal depression; (4) infants’ iodine and selenium status relating to first year neurodevelopment. Methods Breastfeeding women aged over 16 years with a healthy term singleton infant were recruited from Manawatu, New Zealand. Participants attended study visits 3, 6, and 12 months postpartum. Maternal questionnaires investigated supplement use before and after birth, iodine knowledge, and demographic information. Dietary assessment and urine, blood, and breast milk samples were taken to measure iodine, selenium, and iron intake/status. The Edinburgh Postnatal Depression Scale was used repeatedly to screen for postnatal depression. Thyroid hormones (free triiodothyronine, free thyroxine, thyroid stimulating hormone, thyroglobulin, antithyroglobulin antibodies, and antithyroid peroxidase) were measured in blood samples, and thyroid gland volume was measured by ultrasound at 6 months postpartum. Infant iodine and selenium concentrations were determined in urine. The Ages and Stages Questionnaire was used to assess infant development at 4, 8, and 12 months. Results Data collection was completed. Biological samples analysis, excluding nail clippings, is complete. Data analysis and presentation of the results will be available after 2020. Conclusions This study will provide data on the current iodine status of breastfeeding women. It will also provide a greater understanding of the three essential minerals required for optimal thyroid function among breastfeeding women. The prospective longitudinal design allows opportunities to examine women’s mental health and infant neurodevelopment throughout the first year, a crucial time for both mothers and their infants. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12615001028594; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=369324 International Registered Report Identifier (IRRID) DERR1-10.2196/18560
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Affiliation(s)
- Ying Jin
- School of Health Sciences, College of Health, Massey University, Palmerston North, New Zealand
| | - Jane Coad
- School of Food and Advanced Technology, College of Sciences, Massey University, Palmerston North, New Zealand
| | - Shao J Zhou
- School of Agriculture, Food and Wine and Robinson Research Institute, Faculty of Sciences, University of Adelaide, Adelaide, Australia
| | - Sheila Skeaff
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Cheryl Benn
- MidCentral District Health Board, Palmerston North, New Zealand
| | - Nicholas Kim
- School of Health Sciences, College of Health, Massey University, Wellington, New Zealand
| | - Rachael L Pond
- Institute of Education, College of Humanities and Social Sciences, Massey University, Palmerston North, New Zealand
| | - Louise Brough
- School of Food and Advanced Technology, College of Sciences, Massey University, Palmerston North, New Zealand
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17
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Zhu GX, Qu JJ, Zhou SJ. [Prevention of closure point recanalization after uncut Roux-en-Y anastomosis for radical resection of distal gastric cancer]. Zhonghua Wei Chang Wai Ke Za Zhi 2020; 23:717-719. [PMID: 32683835 DOI: 10.3760/cma.j.cn.441530-20190716-00277] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Uncut Roux-en-Y anastomosis is widely used in gastrointestinal reconstruction procedure after radical gastrectomy for distal gastric cancer. However, the proximal jejunal closure point recanalization of the input loop is an important complication of postoperative patients with prolonged time, resulting in pancreatic juice or bile reflux, which can lead to inflammatory lesions of the remnant stomach or esophagus. Poor selection of the location of the closure point during anastomosis causes a large amount of food deposited in the blind loop to be pushed and impacted, resulting in loosened threads or failed U-shaped staples, which may cause recanalization complications. Most scholars believe that the shortening of the jejunal tube closure point to the optimal position of 2 to 3 cm from the residual gastrojejunostomy can significantly reduce food retention, decrease the pressure of the closure point and the incidence of recanalization. At present, the application of new anastomotic techniques and materials such as four-row and six-row U-shaped staples and 7# wire ligation under laparoscopy can prevent the occurrence of recanalization of the closure point. Uncut Roux-en-Y anastomosis is safe and has few complications, and is expected to become one of the best ways of digestive tract reconstruction.
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Affiliation(s)
- G X Zhu
- Clinical Medical College of Weifang Medical College, Weifang, Shangdong 261053, China
| | - J J Qu
- Department of Oncology, Weifang Peoples Hospital, Weifang, Shangdong 261000, China
| | - S J Zhou
- Department of Anesthesiology, Weifang People's Hospital, Shangdong Weifang, Shangdong 261000, China
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18
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Simmonds LA, Sullivan TR, Skubisz M, Middleton PF, Best KP, Yelland LN, Quinlivan J, Zhou SJ, Liu G, McPhee AJ, Gibson RA, Makrides M. Omega-3 fatty acid supplementation in pregnancy-baseline omega-3 status and early preterm birth: exploratory analysis of a randomised controlled trial. BJOG 2020; 127:975-981. [PMID: 32034969 DOI: 10.1111/1471-0528.16168] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2020] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To identify a polyunsaturated fatty acid (PUFA) biomarker able to detect which women with singleton pregnancies are most likely to benefit from omega-3 supplementation to reduce their risk of early preterm birth. DESIGN Exploratory analysis of a randomised controlled trial. SETTING Six Australian hospitals. POPULATION Women with a singleton pregnancy enrolled in the ORIP trial. METHODS Using maternal capillary whole blood collected ~14 weeks' gestation, the fatty acids in total blood lipids were quantified using gas chromatography. Interaction tests examined whether baseline PUFA status modified the effect of omega-3 supplementation on birth outcomes. MAIN OUTCOME MEASURE Early preterm birth (<34 weeks' gestation). RESULTS A low total omega-3 PUFA status in early pregnancy was associated with a higher risk of early preterm birth. Among women with a total omega-3 status ≤4.1% of total fatty acids, omega-3 supplementation substantially reduced the risk of early preterm birth compared with control (0.73 versus 3.16%; relative risk = 0.23, 95% confidence interval [CI] 0.07-0.79). Conversely, women with higher total omega-3 status in early pregnancy were at lower risk of early preterm birth. Supplementing women with a baseline status above 4.9% increased early preterm birth (2.20 versus 0.97%; relative risk = 2.27, 95% CI 1.13-4.58). CONCLUSIONS Women with singleton pregnancies and low total omega-3 PUFA status early in pregnancy have an increased risk of early preterm birth and are most likely to benefit from omega-3 supplementation to reduce this risk. Women with higher total omega-3 status are at lower risk and additional omega-3 supplementation may increase their risk. TWEETABLE ABSTRACT Low total omega-3 fat status helps identify which women benefit from extra omega-3 to reduce early prematurity.
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Affiliation(s)
- L A Simmonds
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - T R Sullivan
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - M Skubisz
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,Department of Obstetrics and Gynaecology, Women's and Children's Hospital, North Adelaide, SA, Australia
| | - P F Middleton
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,School of Medicine, The University of Adelaide, Adelaide, SA, Australia
| | - K P Best
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,School of Medicine, The University of Adelaide, Adelaide, SA, Australia
| | - L N Yelland
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,School of Public Health, The University of Adelaide, Adelaide, SA, Australia
| | - J Quinlivan
- The Institute of Health Research, University of Notre Dame, Fremantle, WA, Australia
| | - S J Zhou
- The School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, SA, Australia
| | - G Liu
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,The School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, SA, Australia
| | - A J McPhee
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,Neonatal Services, Women's and Children's Hospital, North Adelaide, SA, Australia
| | - R A Gibson
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,The School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, SA, Australia
| | - M Makrides
- SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,School of Medicine, The University of Adelaide, Adelaide, SA, Australia
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19
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Wang YK, Chen XC, Wang JB, Duan X, Zhou SJ, Yang J, Yang T, Ye RH, Yang YC, Yao ST, Duan S, He N. [Molecular transmission clusters on HCV genotypes among newly reported HIV/HCV co-infection in Dehong Dai and Jingpo autonomous prefecture of Yunnan province, 2016]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:191-195. [PMID: 30744271 DOI: 10.3760/cma.j.issn.0254-6450.2019.02.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the characteristics on major strain subtypes of hepatitis C virus among HIV/HCV co-infected patients, so as to explore the molecular transmission clusters and related risk factors of HCV strains. Methods: A total of 336 newly reported HIV-infected patients were diagnosed as HIV/HCV co-infection in Dehong Dai and Jingpo autonomous prefecture (Dehong) in 2016. We used Nested PCR to amplify CE1 and NS5B genes among 318 samples with plasma levels above 200 μl, before using the combining phylogenetic tree and constructing molecular propagation network method to analyze the related data. Results: A total of 267 HIV/HCV co-infection patients who had met the HCV genotyping requirements were screened the gene subtypes were diversified. Among these genotypes, proportions of 3b, 6n, 6u, 1a, 3a and other subtypes appeared as 32.6% (87/267), 18.4% (49/267), 15.7%(42/267), 13.1%(35/267), 11.2%(30/267) and 9.0%(24/267) respectively. Molecular transmission network of five major HCV genotypes was constructed with a clustering rate of 39.1% (95/243). The clustering rate of subtype 1a was the highest, as 71.4% (25/35). Results from the multivariate logistic regression showed that ethnic minorities other than the Yi and Jingpo (vs. the Han, OR=0.17, 95%CI: 0.04-0.71), the married spouses (vs. the unmarried, OR=0.42, 95%CI: 0.18-0.94), the 6n and 3a subtype (vs. the 3b subtype, OR=0.34, 95%CI: 0.12-0.95; OR=0.22, 95%CI: 0.05-0.93) were more difficult to form transmission clusters. However, the 6u and 1a subtype (vs. the 3b subtype, OR=3.10, 95%CI: 1.21-7.94; OR=4.00, 95%CI: 1.32-12.11) seemed more likely to form the transmission clusters. Conclusion: Ethnicity, marital status and genetic subtypes were factors significantly associated with the formation of transmission clusters related to the major HCV gene subtypes among newly reported HIV/HCV co-infection in Dehong.
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Affiliation(s)
- Y K Wang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - X C Chen
- Department of Epidemiology, School of Public Health, The Key Laboratory for Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - J B Wang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - X Duan
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - S J Zhou
- Department of Epidemiology, School of Public Health, The Key Laboratory for Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - J Yang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - T Yang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - R H Ye
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - Y C Yang
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - S T Yao
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - S Duan
- Dehong Dai and Jingpo Autonomous Prefecture Center for Disease Control and Prevention, Mangshi 678400, China
| | - N He
- Department of Epidemiology, School of Public Health, The Key Laboratory for Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
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20
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Zhou SJ, Condo D, Ryan P, Skeaff SA, Howell S, Anderson PJ, McPhee AJ, Makrides M. Association Between Maternal Iodine Intake in Pregnancy and Childhood Neurodevelopment at Age 18 Months. Am J Epidemiol 2019; 188:332-338. [PMID: 30452542 DOI: 10.1093/aje/kwy225] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Accepted: 09/25/2018] [Indexed: 12/20/2022] Open
Abstract
There are limited and inconsistent data suggesting that mild iodine deficiency in pregnancy might be associated with poorer developmental outcomes in children. Between 2011 and 2015, we conducted a prospective cohort study in Australia examining the relationship between maternal iodine intake in pregnancy and childhood neurodevelopment, assessed using Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III), in 699 children at 18 months. Maternal iodine intake and urinary iodine concentration (UIC) were assessed at study entry (<20 weeks' gestation) and at 28 weeks' gestation. Maternal iodine intake in the lowest (<220 μg/day) or highest (≥391 μg/day) quartile was associated with lower cognitive, language, and motor scores (mean differences ranged from 2.4 (95% confidence interval (CI): 0.01, 4.8) to 7.0 (95% CI: 2.8, 11.1) points lower) and higher odds (odds ratios ranged from 2.7 (95% CI: 1.3, 5.6) to 2.8 (95% CI: 1.3, 5.7)) of cognitive developmental delay (Bayley-III score <1 SD) compared with mothers with an iodine intake in the middle quartiles. There was no association between UIC in pregnancy and Bayley-III outcomes regardless of whether UIC and the outcomes were analyzed as continuous or categorical variables. Both low and high iodine intakes in pregnancy were associated with poorer childhood neurodevelopment in this iodine-sufficient population.
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Affiliation(s)
- Shao J Zhou
- School of Agriculture, Food and Wine, University of Adelaide, South Australia, Australia
- Robinson Research Institute, University of Adelaide, South Australia, Australia
| | - Dominique Condo
- School of Exercise and Nutritional Science, Faculty of Health, Deakin University, Geelong, Australia
| | - Philip Ryan
- School of Population Health, University of Adelaide, South Australia, Australia
| | - Sheila A Skeaff
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Stuart Howell
- School of Population Health, University of Adelaide, South Australia, Australia
| | - Peter J Anderson
- Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Victoria, Australia
- Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Andrew J McPhee
- Women's and Children's Health Network, Adelaide, South Australia, Australia
| | - Maria Makrides
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
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21
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Duan X, Wang KR, Wang JB, Ye RH, Wang YK, Yang J, Yang T, Zhou SJ, Yang YC, Yao ST, Duan S, He N. [HIV gene subtypes of newly reported HIV/AIDS cases in Dehong Dai and Jingpo autonomous prefecture of Yunnan province, 2016]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:678-681. [PMID: 29860817 DOI: 10.3760/cma.j.issn.0254-6450.2018.05.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore distribution of HIV gene subtypes among newly reported HIV/AIDS cases from China and Myanmar in Dehong Dai and Jingpo prefecture of Yunnan province in 2016. Methods: We conducted DNA extractions from newly reported HIV/AIDS cases in 2016. The gag, env and pol genes were amplified by using reverse transcription-PCR (RT-PCR) and sequenced to identify HIV subtypes. Results: A total of 1 112 newly diagnosed HIV cases were reported in Dehong in 2016, and the HIV subtypes were identified for 860 cases. Subtype C was predominant (33.6%), followed by unique recombinant forms (URFs) (28.4%), CRF01_AE (18.6%) and so on. URFs include four recombination, among which the recombination of CRF01_AE and C subtype were predominant. The HIV subtype distribution was associated with nationality and transmission route in HIV/AIDS cases from Myanmar. Conclusions: The gene subtypes of C, URFs and CRF01_AE were mainly distributed; distribution of URFs remained complex and diverse among newly reported HIV/AIDS cases in Dehong in 2016.
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Affiliation(s)
- X Duan
- Dehong Dai and Jingpo Autonomous Prefectural Center for Disease Control and Prevention, Mangshi 678400, China; Department of Epidemiology, School of Public Health, Key Laboratory for Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - K R Wang
- Dehong Dai and Jingpo Autonomous Prefectural Center for Disease Control and Prevention, Mangshi 678400, China
| | - J B Wang
- Department of Epidemiology, School of Public Health, Key Laboratory for Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - R H Ye
- Dehong Dai and Jingpo Autonomous Prefectural Center for Disease Control and Prevention, Mangshi 678400, China
| | - Y K Wang
- Dehong Dai and Jingpo Autonomous Prefectural Center for Disease Control and Prevention, Mangshi 678400, China
| | - J Yang
- Dehong Dai and Jingpo Autonomous Prefectural Center for Disease Control and Prevention, Mangshi 678400, China
| | - T Yang
- Dehong Dai and Jingpo Autonomous Prefectural Center for Disease Control and Prevention, Mangshi 678400, China
| | - S J Zhou
- Department of Epidemiology, School of Public Health, Key Laboratory for Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Y C Yang
- Dehong Dai and Jingpo Autonomous Prefectural Center for Disease Control and Prevention, Mangshi 678400, China
| | - S T Yao
- Dehong Dai and Jingpo Autonomous Prefectural Center for Disease Control and Prevention, Mangshi 678400, China
| | - S Duan
- Dehong Dai and Jingpo Autonomous Prefectural Center for Disease Control and Prevention, Mangshi 678400, China
| | - N He
- Department of Epidemiology, School of Public Health, Key Laboratory for Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
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Gao C, Gibson RA, Mcphee AJ, Zhou SJ, Collins CT, Makrides M, Miller J, Liu G. Comparison of breast milk fatty acid composition from mothers of premature infants of three countries using novel dried milk spot technology. Prostaglandins Leukot Essent Fatty Acids 2018; 139:3-8. [PMID: 30471771 DOI: 10.1016/j.plefa.2018.08.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 08/23/2018] [Accepted: 08/30/2018] [Indexed: 12/31/2022]
Abstract
Long chain polyunsaturated fatty acid (LCPUFA) intake during infancy has been associated with many health benefits, and the LCPUFA intake of breastfed infants is largely dependent on the composition of breast milk. The conventional method for breast milk fatty acid profiling is complicated by the need for cold-chain transportation and storage, and the newly developed dried milk spot (DMS) technology overcomes these difficulties. This study aimed to determine the accuracy, sensitivity and applicability of the DMS method developed based on the PUFAcoat™ technology. Two hundred breast milk samples were analyzed using the conventional method and compared with the DMS method. In order to evaluate the usefulness of DMS for large scale international studies, we analyzed another 786 breast milk samples collected from mothers of preterm infants who participated in a large clinical trial conducted in Australia, New Zealand and Singapore. Fatty acids were measured using capillary gas chromatography and results were reported as weight percentage of total fatty acids. Strong correlations and tight variation were observed in total saturated, monounsaturated, n-6 and n-3 PUFAs between the conventional and DMS methods. The DMS method proved to be sensitive in differentiating the breast milk fatty acid profiles of women consuming different habitual diets as evidenced by the differences between the breast milk fatty acid composition between Australian and Singaporean population. This study demonstrates that the DMS and the conventional method provide interchangeable results, and the DMS method is a particularly useful tool for large-scale studies.
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Affiliation(s)
- Chang Gao
- School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia; Healthy Mothers, Babies and Children theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia
| | - Robert A Gibson
- School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia
| | - Andrew J Mcphee
- Healthy Mothers, Babies and Children theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia; Neonatal Services, Women's and Children's Health Network, Adelaide, SA 5000, Australia
| | - Shao J Zhou
- School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia
| | - Carmel T Collins
- Healthy Mothers, Babies and Children theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia; Women's and Children's Health Research Institute, North Adelaide, SA 5000, Australia; Discipline of Paediatrics, School of Medicine, University of Adelaide, Adelaide SA 5000, Australia
| | - Maria Makrides
- Healthy Mothers, Babies and Children theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia; Discipline of Paediatrics, School of Medicine, University of Adelaide, Adelaide SA 5000, Australia
| | - Jacqueline Miller
- Healthy Mothers, Babies and Children theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia; Nutrition and Dietetics, Flinders University, Adelaide, SA 5001, Australia
| | - Ge Liu
- School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia; Healthy Mothers, Babies and Children theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia.
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Ning JY, Zhang LQ, Guo H, Zhou SJ, Zhu ZS, Bao WJ. [Clinicpathologic studies of cases with tracheobronchopathia osteochondroplastica]. Zhonghua Bing Li Xue Za Zhi 2018; 47:857-858. [PMID: 30423610 DOI: 10.3760/cma.j.issn.0529-5807.2018.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
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Di RQ, Zhao YL, Li XD, Ye L, Wang X, Zhou SJ. [Effect of APP on prognosis in patients with chronic rhinosinusitis after endoscopic sinus surgery]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2018; 31:1756-1759. [PMID: 29798192 DOI: 10.13201/j.issn.1001-1781.2017.22.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Indexed: 11/12/2022]
Abstract
Objective:To investigate interventional effect of APP on prognosis in patients with chronic rhinosinusitis after endoscopic sinus surgery. Method:One hundred and forty-four chronic rhinosinusitis patients in our hospital were divided into observation group and control group randomly; observation group had 71 patients, and control group had 73 patients. The control group was treated with standard discharge instruction. In addition to standard discharge instruction, observation group was followed up and directed by using of APP. Two groups' VAS scores and Lund-Kennedy scores were compared in admission time, and 6 months after discharge. Result:There was no significant difference in the Lund-Kennedy scores and VAS scores between the two groups in admission time. However, 6 months after discharge, Lund-Kennedy scores and VAS scores in observation group were obviously lower than control group(P< 0.05). Conclusion:The use of healthy APP can significantly promote patients with chronic rhinosinusitis recovery and re-visit after endoscopic sinus surgery.
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Affiliation(s)
- R Q Di
- Nursing Department, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Y L Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Zhengzhou University
| | - X D Li
- Department of Ophtalmology Department, the First Affiliated Hospital of Zhengzhou University
| | - L Ye
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Zhengzhou University
| | - X Wang
- Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Zhengzhou University
| | - S J Zhou
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Zhengzhou University
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Gao C, Liu G, Whitfield KC, Kroeun H, Green TJ, Gibson RA, Makrides M, Zhou SJ. Comparison of Human Milk Fatty Acid Composition of Women From Cambodia and Australia. J Hum Lact 2018; 34:585-591. [PMID: 29758170 DOI: 10.1177/0890334418772279] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Human milk is a rich source of omega-3 long-chain polyunsaturated fatty acids, which are postulated to be important for brain development. There is a lack of data on the human milk fatty acid composition of Cambodian women compared with data from Western women. Research Aim: The aim of this study was to determine the human milk fatty acid composition of women living in Cambodia and compare it with that of women living in Australia. METHOD Human milk samples from Cambodian ( n = 67) and Australian ( n = 200) mothers were collected at 3 to 4 months postpartum. Fatty acid composition was analyzed using capillary gas chromatography followed by Folch extraction with chloroform/methanol (2:1 v/v), and fat content was measured gravimetrically. RESULT Compared with Australian participants, human milk from Cambodian participants contained a significantly lower level of total fat (2.90 vs. 3.45 g/dL, p = .028), lower percentages of linoleic acid (9.30% vs. 10.66%, p < .0001) and α-linolenic acid (0.42% vs. 0.95%, p < .0001), but higher percentages of arachidonic acid (0.68% vs. 0.38%, p < .0001) and docosahexaenoic acid (0.40% vs. 0.23%, p < .0001). CONCLUSION Differences in human milk fatty acid composition between Cambodian and Australian participants may be explained by differences in the dietary patterns between the two populations.
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Affiliation(s)
- Chang Gao
- 1 School of Agriculture, Food & Wine, University of Adelaide, Urrbrae, SA, Australia.,2 Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Ge Liu
- 1 School of Agriculture, Food & Wine, University of Adelaide, Urrbrae, SA, Australia.,2 Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Kyly C Whitfield
- 3 Department of Applied Human Nutrition, Mount Saint Vincent University, Halifax, NS, Canada
| | - Hou Kroeun
- 4 Helen Keller International - Cambodia Country Office, Phnom Penh, Cambodia
| | - Timothy J Green
- 2 Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,5 Dicipiline of Paediatrics, University of Adelaide, Adelaide, SA, Australia
| | - Robert A Gibson
- 1 School of Agriculture, Food & Wine, University of Adelaide, Urrbrae, SA, Australia
| | - Maria Makrides
- 2 Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.,5 Dicipiline of Paediatrics, University of Adelaide, Adelaide, SA, Australia
| | - Shao J Zhou
- 1 School of Agriculture, Food & Wine, University of Adelaide, Urrbrae, SA, Australia
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Zhou SJ, Best K, Gibson R, McPhee A, Yelland L, Quinlivan J, Makrides M. Study protocol for a randomised controlled trial evaluating the effect of prenatal omega-3 LCPUFA supplementation to reduce the incidence of preterm birth: the ORIP trial. BMJ Open 2017; 7:e018360. [PMID: 28947468 PMCID: PMC5623491 DOI: 10.1136/bmjopen-2017-018360] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Preterm birth accounts for more than 85% of all perinatal complications and deaths. Seventy-five per cent of early preterm births (EPTBs) occur spontaneously and without identifiable risk factors. The need for a broadly applicable, effective strategy for primary prevention is paramount. Secondary outcomes from the docosahexaenoic acid (DHA) to Optimise Mother Infant Outcome trial showed that maternal supplementation until delivery with omega-3 (ω-3) long chain polyunsaturated fatty acid (LCPUFA), predominantly as DHA, resulted in a 50% reduction in the incidence of EPTB and an increase in the incidence of post-term induction or post-term prelabour caesarean section due to extended gestation. We aim to determine the effectiveness of supplementing the maternal diet with ω-3 LCPUFA until 34 weeks' gestation on the incidence of EPTB. METHODS AND ANALYSIS This is a multicentre, parallel group, randomised, blinded and controlled trial. Women less than 20 weeks' gestation with a singleton or multiple pregnancy and able to give informed consent are eligible to participate. Women will be randomised to receive high DHA fish oil capsules or control capsules without DHA. Capsules will be taken from enrolment until 34 weeks' gestation. The primary outcome is the incidence of EPTB, defined as delivery before 34 completed weeks' gestation. Key secondary outcomes include length of gestation, incidence of post-term induction or prelabour caesarean section and spontaneous EPTB. The target sample size is 5540 women (2770 per group), which will provide 85% power to detect an absolute reduction in the incidence of preterm birth of 1.16% (from 2.45% to 1.29%) between the DHA and control group (two sided α=0.05). The primary analysis will be based on the intention-to-treat principle. TRIAL REGISTRATION NUMBER Australia and New Zealand Clinical Trial Registry Number: 2613001142729; Pre-results.
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Affiliation(s)
- Shao J Zhou
- Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, Australia
- School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, South Australia, Australia
| | - Karen Best
- Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, Australia
- Department of Paediatrics, School of Medicine, The University of Adelaide, Adelaide, Australia
| | - Robert Gibson
- School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, South Australia, Australia
- FOOD plus Research Centre, The University of Adelaide, Australia
| | - Andrew McPhee
- Department of Neonatal Services, Women’s and Children’s Health Network, Adelaide, Australia
| | - Lisa Yelland
- Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, Australia
- School of Public Health, The University of Adelaide, Adelaide, Australia
| | - Julie Quinlivan
- Institute for Health Research, University of Notre Dame Australia, Fremantle, Australia
| | - Maria Makrides
- Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, Australia
- Department of Paediatrics, School of Medicine, The University of Adelaide, Adelaide, Australia
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Fan CL, Luo JY, Gong WJ, Liu XQ, Zhou SJ, Zhang FF, Zeng J, Li HX, Feng N. [Nested case-control study on associated factors for anemia during pregnancy]. Zhonghua Liu Xing Bing Xue Za Zhi 2017; 38:1269-1273. [PMID: 28910945 DOI: 10.3760/cma.j.issn.0254-6450.2017.09.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the related factors of anemia during pregnancy and provide scientific evidence for the primary prevention of anemia during pregnancy. Methods: The pregnant women (≤12 pregnant weeks) who received the first pregnancy care in a local medical institution in Hunan province from June 2013 to November 2014 were included in this cohort study, and for them anemia had been excluded by physical examination. Baseline survey and follow up till childbirth were conducted for them. A queue-based nested case-control study (1 ∶ 2) was conducted (380 pregnant women with anemia detected in this study as case group, 760 pregnant women without anemia randomly selected and matched by age, habitual residence during pregnancy as control group. And t test, χ(2) test and logistic regression analysis were conducted to identify related factors of anemia during pregnancy. Results: Multivariate logistic regression analysis indicated that low family annual income level (net income) (OR=2.08, 95%CI: 1.22-3.59), low educational level (OR=2.09, 95%CI: 1.22-3.59), pre-pregnancy perm/hair dye (OR=2.23, 95%CI: 1.63-3.05), early pregnancy vomiting (OR=2.51, 95%CI: 1.56-4.03) were the risk factors for anemia during pregnancy. Intake of vitamin and trace element supplements (OR=0.69, 95%CI: 0.50-0.94), frequent meat, fish, shrimp, egg intakes (OR=0.68, 95%CI: 0.49-0.92), frequent soy milk, milk intakes (OR=0.51, 95%CI: 0.27-0.95) were the protective factors for anemia during pregnancy. Conclusion: A number of factors, such as family annual income level, education level, poisonous and harmful material contact, pregnancy reaction, nutrition, are related to the incidence of anemia during pregnancy, it is necessary to take preventive measures to reduce the incidence of anemia during pregnancy.
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Affiliation(s)
- C L Fan
- Department of Maternal and Child Health, School of Public Health, Central South University, Changsha 410078, China
| | - J Y Luo
- Department of Maternal and Child Health, School of Public Health, Central South University, Changsha 410078, China
| | - W J Gong
- Department of Maternal and Child Health, School of Public Health, Central South University, Changsha 410078, China
| | - X Q Liu
- Department of Maternal and Child Health, School of Public Health, Central South University, Changsha 410078, China
| | - S J Zhou
- Liuyang County Women and Children Health Center, Liuyang 410300, China
| | - F F Zhang
- Liuyang County Women and Children Health Center, Liuyang 410300, China
| | - J Zeng
- Liuyang County Women and Children Health Center, Liuyang 410300, China
| | - H X Li
- Women and Children Health Center of Hunan Province, Changsha 410078, China
| | - N Feng
- Women and Children Health Center of Hunan Province, Changsha 410078, China
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Lawley B, Munro K, Hughes A, Hodgkinson AJ, Prosser CG, Lowry D, Zhou SJ, Makrides M, Gibson RA, Lay C, Chew C, Lee PS, Wong KH, Tannock GW. Differentiation of Bifidobacterium longum subspecies longum and infantis by quantitative PCR using functional gene targets. PeerJ 2017; 5:e3375. [PMID: 28560114 PMCID: PMC5446769 DOI: 10.7717/peerj.3375] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Accepted: 05/04/2017] [Indexed: 01/16/2023] Open
Abstract
Background Members of the genus Bifidobacterium are abundant in the feces of babies during the exclusively-milk-diet period of life. Bifidobacterium longum is reported to be a common member of the infant fecal microbiota. However, B. longum is composed of three subspecies, two of which are represented in the bowel microbiota (B. longum subsp. longum; B. longum subsp. infantis). B. longum subspecies are not differentiated in many studies, so that their prevalence and relative abundances are not accurately known. This may largely be due to difficulty in assigning subspecies identity using DNA sequences of 16S rRNA or tuf genes that are commonly used in bacterial taxonomy. Methods We developed a qPCR method targeting the sialidase gene (subsp. infantis) and sugar kinase gene (subsp. longum) to differentiate the subspecies using specific primers and probes. Specificity of the primers/probes was tested by in silico, pangenomic search, and using DNA from standard cultures of bifidobacterial species. The utility of the method was further examined using DNA from feces that had been collected from infants inhabiting various geographical regions. Results A pangenomic search of the NCBI genomic database showed that the PCR primers/probes targeted only the respective genes of the two subspecies. The primers/probes showed total specificity when tested against DNA extracted from the gold standard strains (type cultures) of bifidobacterial species detected in infant feces. Use of the qPCR method with DNA extracted from the feces of infants of different ages, delivery method and nutrition, showed that subsp. infantis was detectable (0–32.4% prevalence) in the feces of Australian (n = 90), South-East Asian (n = 24), and Chinese babies (n = 91), but in all cases at low abundance (<0.01–4.6%) compared to subsp. longum (0.1–33.7% abundance; 21.4–100% prevalence). Discussion Our qPCR method differentiates B. longum subspecies longum and infantis using characteristic functional genes. It can be used as an identification aid for isolates of bifidobacteria, as well as in determining prevalence and abundance of the subspecies in feces. The method should thus be useful in ecological studies of the infant gut microbiota during early life where an understanding of the ecology of bifidobacterial species may be important in developing interventions to promote infant health.
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Affiliation(s)
- Blair Lawley
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Karen Munro
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | - Alan Hughes
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
| | | | | | - Dianne Lowry
- Dairy Goat Cooperative (NZ) Ltd., Hamilton, New Zealand
| | - Shao J Zhou
- Women's and Children's Health Research Institute, Adelaide, Australia.,School of Agriculture, Food and Wine, University of Adelaide, Adelaide, Australia
| | - Maria Makrides
- Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Robert A Gibson
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, Australia
| | | | | | | | | | - Gerald W Tannock
- Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.,Riddet Institute Centre of Research Excellence, Palmerston North, New Zealand.,Microbiome Otago, University of Otago, Dunedin, New Zealand
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Hawke K, Louise J, Collins C, Zhou SJ, Brown A, Gibson R, Makrides M. Growth patterns during the first 12 months of life: post-hoc analysis for South Australian Aboriginal and Caucasian infants in a randomised controlled trial of formula feeding. Asia Pac J Clin Nutr 2017; 26:464-470. [PMID: 28429912 DOI: 10.6133/apjcn.042016.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND AND OBJECTIVES To compare growth characteristics of Aboriginal and Caucasian formula-fed in-fants in the first 12 months of life. METHODS AND STUDY DESIGN We conducted post-hoc data analysis of infants who were part of a previous randomised controlled trial comparing infants randomly assigned to cow or goat milk-based infant formulae. Weight, height, and body composition were assessed at serial time points between study entry (~1-2 weeks of age) and 12 months. There was no growth difference between the randomised groups so the two groups were combined and the data were used to conduct a non-randomised comparison of the growth between Aboriginal (n=11) and Caucasian formula-fed (n=169) infants. RESULTS Aboriginal formula-fed infants had significantly higher mean z-scores for weight (0.65 difference, [95% CI 0.11, 1.18], p=0.018) and weight-for-length (0.82 difference [95% CI 0.20, 1.44], p=0.010) at 2 months, and all time points onward compared with Caucasian formula-fed infants. Mean length z-scores and the overall growth trajectory across time did not differ between Aboriginal and Caucasian formula-fed infants. Concordant with the weight and weight-for-length z-scores, Aboriginal infants had increased fat mass at 2 months (292 g difference [95% CI 56, 528], p=0.015), and all time points onward compared to Caucasian infants. There was no difference in fat free mass. CONCLUSIONS Though there was only a small number of Aboriginal infants for comparison, our data indicate Aboriginal formu-la-fed infants were heavier and had a larger increase in fat mass over time compared with Caucasian formula-fed infants. Further studies using a larger cohort are needed to substantiate these findings.
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Affiliation(s)
- Karen Hawke
- Women's and Children's Health Research Institute, North Adelaide, SA, Australia. .,South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, Australia
| | - Jennie Louise
- Data Management and Analysis Centre, Discipline of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Carmel Collins
- Women's and Children's Health Research Institute, North Adelaide, SA, Australia.,South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, Australia.,Discipline of Paediatrics, University of Adelaide, Adelaide, SA, Australia
| | - Shao J Zhou
- Women's and Children's Health Research Institute, North Adelaide, SA, Australia.,School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA, Australia
| | - Alex Brown
- South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, Australia
| | - Robert Gibson
- Women's and Children's Health Research Institute, North Adelaide, SA, Australia.,South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, Australia.,School of Agriculture, Food and Wine, University of Adelaide, Waite Campus, Urrbrae, SA, Australia
| | - Maria Makrides
- Women's and Children's Health Research Institute, North Adelaide, SA, Australia.,South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, Australia.,Discipline of Paediatrics, University of Adelaide, Adelaide, SA, Australia
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Gould JF, Anderson AJ, Yelland LN, Smithers LG, Skeaff CM, Zhou SJ, Gibson RA, Makrides M. Association of cord blood vitamin D with early childhood growth and neurodevelopment. J Paediatr Child Health 2017; 53:75-83. [PMID: 27566125 DOI: 10.1111/jpc.13308] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Revised: 02/25/2016] [Accepted: 06/12/2016] [Indexed: 12/15/2022]
Abstract
AIM The association between fetal vitamin D [25-hydroxyvitamin D (25(OH)D)] exposure and early child growth and neurodevelopment is controversial. The aim of this study was to investigate the association between cord blood 25(OH)D and birth size, childhood growth and neurodevelopment. METHODS Cord blood samples from 1040 Australian women enrolled in a randomised trial of docosahexaenoic acid (DHA) supplementation during pregnancy were analysed for 25(OH)D using mass spectroscopy. Infant length, weight and head circumference were measured at delivery. A sub-sample of 337 infants with cord blood samples were selected for growth and neurodevelopment assessment at 18 months and 4 years of age. Associations between standardised 25(OH)D and outcomes were assessed, taking into account DHA treatment, social and demographic variables. RESULTS Standardised 25(OH)D in cord blood was not associated with length, weight or head circumference at birth, 18 months or 4 years of age. 25(OH)D was not associated with cognitive, motor, social-emotional or adaptive behaviour scores at 18 months, or cognitive score at 4 years of age. A 10 nmol/L increase in cord blood 25(OH)D was associated with a modest increase in average Language scores of 0.60 points at 18 months (adjusted 95% CI 0.04-1.17, P = .04) and 0.68 points at 4 years (adjusted 95% CI 0.07-1.29, P = .03) of age. CONCLUSIONS Cord blood vitamin D was modestly, positively associated with language development in early childhood in our sample, although the magnitude of the association was small. Randomised controlled trials are needed to confirm a causal association and establish the potential clinical significance of the relationship between vitamin D status and language development.
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Affiliation(s)
- Jacqueline F Gould
- Child Nutrition Research Centre, Women's and Children's Health Research Institute, Adelaide, South Australia, Australia.,Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Amanda J Anderson
- Child Nutrition Research Centre, Women's and Children's Health Research Institute, Adelaide, South Australia, Australia.,Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Lisa N Yelland
- Child Nutrition Research Centre, Women's and Children's Health Research Institute, Adelaide, South Australia, Australia.,School of Population Health, University of Adelaide, Adelaide, South Australia, Australia
| | - Lisa G Smithers
- School of Population Health, University of Adelaide, Adelaide, South Australia, Australia
| | - C Murray Skeaff
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Shao J Zhou
- Child Nutrition Research Centre, Women's and Children's Health Research Institute, Adelaide, South Australia, Australia.,FOODplus Research Centre, School of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - Robert A Gibson
- Child Nutrition Research Centre, Women's and Children's Health Research Institute, Adelaide, South Australia, Australia.,Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,FOODplus Research Centre, School of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - Maria Makrides
- Child Nutrition Research Centre, Women's and Children's Health Research Institute, Adelaide, South Australia, Australia.,Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,Department of Human Nutrition, University of Adelaide, Adelaide, South Australia, Australia
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Condo D, Huyhn D, Anderson AJ, Skeaff S, Ryan P, Makrides M, Mühlhaüsler BS, Zhou SJ. Iodine status of pregnant women in South Australia after mandatory iodine fortification of bread and the recommendation for iodine supplementation. Matern Child Nutr 2016; 13. [PMID: 27982512 DOI: 10.1111/mcn.12410] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 11/02/2016] [Accepted: 11/11/2016] [Indexed: 12/25/2022]
Abstract
Mandatory iodine fortification of bread was introduced in 2009 in Australia in response to the reemergence of iodine deficiency. The aim of this study was to assess iodine intake, urinary iodine concentration (UIC) and their correlation in pregnant women (n = 783) recruited from South Australia 2 years following mandatory iodine fortification. Total iodine intake (food and supplements) and UIC were assessed at study entry (<20 weeks') and at 28 weeks' gestation. Mean (±SD) total iodine intake at study entry and 28 weeks' gestation was 307 ± 128 μg/day and 300 ± 127 μg/day, respectively. Overall, 85.9% of women met the estimated average intake (≥160 μg/day) for iodine in pregnancy, but only 44.5% met the estimated average intake from food alone. The main food sources of iodine were dairy foods and iodine-fortified bread. Median (interquartile range) UIC at study entry and 28 weeks' gestation was 189 μg/L and 172 μg/L, respectively. At study entry, median UIC was higher in women taking supplements containing iodine ≥150 μg/day compared with those containing iodine <150 μg/day (221 μg/L vs. 163 μg/L, p = .003) and those not taking supplements containing iodine (221 μg/L vs. 159 μg/L, p < .001). At 28 weeks' gestation, the median UIC for the groups was 187, 152 and 141 μg/L, respectively (each of the two comparisons yielded p < .001). Total iodine intake (food and supplements) from all women was positively, though weakly, correlated with UIC (r = .23, p < .001). In conclusion, pregnant women in South Australia are iodine sufficient postmandatory iodine fortification of bread. However, without iodine supplementation, it may be difficult to achieve a UIC >150 μg/L.
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Affiliation(s)
- Dominique Condo
- Women's and Children's Health Research Institute, North Adelaide, South Australia, Australia.,Deakin University, School of Exercise and Nutrition Sciences, Geelong, Australia.,Deakin University, Institute for Physical Activity and Nutrition (I-PAN), Geelong, Australia
| | - Dao Huyhn
- FOOD plus Research Centre, School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Urrbrae, South Australia, Australia
| | - Amanda J Anderson
- Women's and Children's Health Research Institute, North Adelaide, South Australia, Australia.,Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Sheila Skeaff
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Philip Ryan
- School of Population Health, University of Adelaide, Adelaide, South Australia, Australia
| | - Maria Makrides
- Women's and Children's Health Research Institute, North Adelaide, South Australia, Australia.,Healthy Mothers, Babies and Children, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.,School of Paediatrics & Reproductive Health, University of Adelaide, Adelaide, South Australia, Australia
| | - Beverly S Mühlhaüsler
- Women's and Children's Health Research Institute, North Adelaide, South Australia, Australia.,FOOD plus Research Centre, School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Urrbrae, South Australia, Australia
| | - Shao J Zhou
- Women's and Children's Health Research Institute, North Adelaide, South Australia, Australia.,FOOD plus Research Centre, School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Urrbrae, South Australia, Australia
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Guess K, Malek L, Anderson A, Makrides M, Zhou SJ. Knowledge and practices regarding iodine supplementation: A national survey of healthcare providers. Women Birth 2016; 30:e56-e60. [PMID: 27599944 DOI: 10.1016/j.wombi.2016.08.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 07/13/2016] [Accepted: 08/16/2016] [Indexed: 12/19/2022]
Abstract
BACKGROUND Little is known of healthcare providers' awareness and implementation of the National Health and Medical Research Council's recommendation regarding iodine supplementation during pre-conception, pregnancy and lactation. AIM To assess knowledge and practices of Australian healthcare providers in relation to the National Health and Medical Research Council's iodine supplement recommendation. METHODS Obstetricians, gynaecologists, general practitioners, dietitians and midwives were recruited through their relevant professional bodies to participate in an online survey. FINDINGS The survey was completed by 396 healthcare providers Australia-wide. While 71% of healthcare providers' were aware of the National Health and Medical Research Council's recommendation for iodine supplementation, fewer were aware of the recommended dose (38%) or duration (44%). Seventy-three percent of healthcare providers recommended iodine supplements in pregnancy, 56% when planning pregnancy and 52% during lactation. The main reasons for not recommending iodine supplements included belief there was no need for iodine supplements due to mandatory iodine fortification of food (28%) and unawareness of the recommendation (25%). Awareness of the recommendation was positively associated with recommending iodine supplements while length of practice, time spent per consultation, age or area of practice were not associated with recommending iodine supplements. DISCUSSION AND CONCLUSIONS There is a need to improve healthcare providers' knowledge of and adherence to the National Health and Medical Research Council's iodine supplement recommendation. Strategies within antenatal and postnatal services, as well as public health initiatives, are required to improve the knowledge and practices of healthcare providers.
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Affiliation(s)
- Kimberly Guess
- School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Waite Road, Urrbrae, SA 5064, Australia; Women's & Children's Health Research Institute, 72 King William Road, North Adelaide, SA 5006, Australia
| | - Lenka Malek
- Women's & Children's Health Research Institute, 72 King William Road, North Adelaide, SA 5006, Australia; Global Food Studies, Faculty of the Professions, University of Adelaide, Adelaide, SA 5005, Australia
| | - Amanda Anderson
- Women's & Children's Health Research Institute, 72 King William Road, North Adelaide, SA 5006, Australia
| | - Maria Makrides
- Women's & Children's Health Research Institute, 72 King William Road, North Adelaide, SA 5006, Australia; South Australian Health and Medical Research Institute, SA 5000, Australia
| | - Shao J Zhou
- School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Waite Road, Urrbrae, SA 5064, Australia; Women's & Children's Health Research Institute, 72 King William Road, North Adelaide, SA 5006, Australia.
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Malek L, Umberger W, Makrides M, Zhou SJ. Poor adherence to folic acid and iodine supplement recommendations in preconception and pregnancy: a cross-sectional analysis. Aust N Z J Public Health 2016; 40:424-429. [DOI: 10.1111/1753-6405.12552] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Revised: 02/01/2016] [Accepted: 03/01/2016] [Indexed: 11/28/2022] Open
Affiliation(s)
- Lenka Malek
- The Centre for Global Food and Resources; The University of Adelaide; South Australia
- Women's & Children's Health Research Institute; South Australia
| | - Wendy Umberger
- The Centre for Global Food and Resources; The University of Adelaide; South Australia
| | - Maria Makrides
- Women's & Children's Health Research Institute; South Australia
- Healthy Mothers, Babies and Children, South Australian Health Medical Research Institute
| | - Shao J. Zhou
- Women's & Children's Health Research Institute; South Australia
- School of Agriculture, Food and Wine; The University of Adelaide; South Australia
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Martin JC, Zhou SJ, Flynn AC, Malek L, Greco R, Moran L. The Assessment of Diet Quality and Its Effects on Health Outcomes Pre-pregnancy and during Pregnancy. Semin Reprod Med 2016; 34:83-92. [PMID: 26886241 DOI: 10.1055/s-0036-1571353] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Overweight and obesity pre pregnancy or during pregnancy is associated with an increased risk for maternal obstetric and fetal complications. Diet is one modifiable risk factor that women may be motivated to improve. General healthy eating guidelines, micronutrient sufficiency and macronutrient quantity and quality are important nutrition considerations pre and during pregnancy. With regards to specific nutrients, health authorities have recommendations for folate and/or iodine supplementation; but not consistently for iron and omega-3 despite evidence for their association with health outcomes. There are modest additional requirements for energy and protein, but not fat or carbohydrate, in mid-late pregnancy. Diet indices and dietary pattern analysis are additional tools or methodologies used to assess diet quality. These tools have been used to determine dietary intakes and patterns and their association with pregnancy complications and birth outcomes pre or during pregnancy. Women who may unnecessarily resist foods due to fear of food contamination from listeriosis and methylmercury may limit their diet quality and a balanced approached is required. Dietary intake may also vary according to certain population characteristics. Additional support for women who are younger, less educated, overweight and obese, from socially disadvantaged areas, smokers and those who unnecessarily avoid healthy foods, is required to achieve a higher quality diet and optimal lifestyle peri conception.
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Affiliation(s)
- Julie C Martin
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Clayton, Victoria, Australia
| | - Shao J Zhou
- School of Agriculture, Food and Wine, Women's & Children's Health Research institute, University of Adelaide, Glen Osmond, SA, Australia
| | - Angela C Flynn
- Division of Women's Health, King's College London, London, United Kingdom
| | - Lenka Malek
- Global Food Studies, Faculty of the Professions, University of Adelaide, Adelaide, South Australia, Australia
| | - Rebecca Greco
- The Robinson Research Institute, University of Adelaide, North Adelaide, South Australia, Australia
| | - Lisa Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventative Medicine, Monash University, Clayton, Victoria, Australia
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Zhou SJ, Skeaff SA, Ryan P, Doyle LW, Anderson PJ, Kornman L, Mcphee AJ, Yelland LN, Makrides M. The effect of iodine supplementation in pregnancy on early childhood neurodevelopment and clinical outcomes: results of an aborted randomised placebo-controlled trial. Trials 2015; 16:563. [PMID: 26654905 PMCID: PMC4675066 DOI: 10.1186/s13063-015-1080-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Accepted: 11/24/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Concern that mild iodine deficiency in pregnancy may adversely affect neurodevelopment of offspring has led to recommendations for iodine supplementation in the absence of evidence from randomised controlled trials. The primary objective of the study was to investigate the effect of iodine supplementation during pregnancy on childhood neurodevelopment. Secondary outcomes included pregnancy outcomes, maternal thyroid function and general health. METHODS Women with a singleton pregnancy of fewer than 20 weeks were randomly assigned to iodine (150 μg/d) or placebo from trial entry to birth. Childhood neurodevelopment was assessed at 18 months by using Bayley Scales of Infant and Toddler Development (Bayley-III). Iodine status and thyroid function were assessed at baseline and at 36 weeks' gestation. Pregnancy outcomes were collected from medical records. RESULTS The trial was stopped after 59 women were randomly assigned following withdrawal of support by the funding body. There were no differences in childhood neurodevelopmental scores between the iodine treated and placebo groups. The mean cognitive, language and motor scores on the Bayley-III (iodine versus placebo, respectively) were 99.4 ± 12.2 versus 101.7 ± 8.2 (mean difference (MD) -2.3, 95 % confidence interval (CI) -7.8, 3.2; P = 0.42), 97.2 ± 12.2 versus 97.9 ± 11.5 (MD -0.7, 95 % CI -7.0, 5.6; P = 0.83) and 93.9 ± 10.8 versus 92.4 ± 9.7 (MD 1.4, 95 % CI -4.0, 6.9; P = 0.61), respectively. No differences were identified between groups in any secondary outcomes. CONCLUSIONS Iodine supplementation in pregnancy did not result in better childhood neurodevelopment in this small trial. Adequately powered randomised controlled trials are needed to provide conclusive evidence regarding the effect of iodine supplementation in pregnancy. TRIALS REGISTRATION The trial was registered with the Australian New Zealand Clinical Trials Registry at http://www.anzctr.org.au . The registration number of this trial is ACTRN12610000411044 . The trial was registered on 21 May 2010.
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Affiliation(s)
- Shao J Zhou
- Women's & Children's Health Research Institute, 72 King William Road, North Adelaide, SA, 5006, Australia.
- School of Agriculture, Food & Wine, University of Adelaide, Waite Campus, Waite Road, Urrbrae, SA, 5064, Australia.
| | - Sheila A Skeaff
- Department of Human Nutrition, University of Otago, PO Box 56, Dunedin, 9054, New Zealand.
| | - Philip Ryan
- School of Population Health, University of Adelaide, 178 North Terrace, Adelaide, SA, 5005, Australia.
| | - Lex W Doyle
- Department of Obstetrics and Gynaecology, Royal Women's Hospital, Cnr of Flemington Road and Grattan Street, University of Melbourne, Melbourne, VIC, 3052, Australia.
- Clinical Sciences, Murdoch Childrens Research Institute, Flemington Road, Melbourne, VIC, 3052, Australia.
- Department of Paediatrics, University of Melbourne, 50 Flemington Road, Melbourne, VIC, 3052, Australia.
| | - Peter J Anderson
- Clinical Sciences, Murdoch Childrens Research Institute, Flemington Road, Melbourne, VIC, 3052, Australia.
- Department of Paediatrics, University of Melbourne, 50 Flemington Road, Melbourne, VIC, 3052, Australia.
| | - Louise Kornman
- Department of Obstetrics and Gynaecology, Royal Women's Hospital, Cnr of Flemington Road and Grattan Street, University of Melbourne, Melbourne, VIC, 3052, Australia.
| | - Andrew J Mcphee
- Women's and Children's Health Network, 72 King William Road, North, Adelaide, SA, 5006, Australia.
| | - Lisa N Yelland
- Women's & Children's Health Research Institute, 72 King William Road, North Adelaide, SA, 5006, Australia.
- School of Population Health, University of Adelaide, 178 North Terrace, Adelaide, SA, 5005, Australia.
| | - Maria Makrides
- Women's & Children's Health Research Institute, 72 King William Road, North Adelaide, SA, 5006, Australia.
- School of Paediatrics & Reproductive Health, University of Adelaide, Frome Road, Adelaide, SA, 5005, Australia.
- South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA, 5000, Australia.
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Abstract
AIM To assess vitamin D status and its predictors in a representative population sample of pre-school children in Adelaide (latitude of 35°S). METHODS Cross-sectional survey of children aged between 1 and 5 years from areas of low, medium and high socio-economic status as identified from the 2001 Census data, Australian Bureau of Statistics. Children were recruited between September 2005 and July 2007 using a door knocking protocol based on a stratified sampling method to obtain a representative sample of this age group. Serum 25-hydroxyvitamin D (25(OH)D) was determined using a radio-immunoassay kit. Vitamin D deficiency was defined as serum 25(OH)D) <30 nmol/L and insufficiency defined as serum 25(OH)D ≥30 and <50 nmol/L according to the Institute of Medicine. RESULTS Fifty-two per cent of eligible children took part in the study. Mean (standard deviation) serum 25(OH)D was 73 (26) nmol/L (n = 221). The prevalence of vitamin D deficiency and insufficiency was 4% and 16%, respectively, with the prevalence being higher in winter (8% and 22%, respectively). Season of the year of blood collection and mother being born in Australia were significant predictors of serum 25(OH)D concentration, but age, sex, socio-economic status, BMI category or dietary supplement use were not related to vitamin D status. CONCLUSIONS Vitamin D status of this representative sample of pre-school children in Australia is adequate, and the prevalence of vitamin D deficiency is low based on the Institute of Medicine criteria.
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Affiliation(s)
- Shao J Zhou
- Women's & Children' Health Research Institute (WCHRI), Adelaide, South Australia, Australia.,School of Agriculture, Food & Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - Murray Skeaff
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Maria Makrides
- Women's & Children' Health Research Institute (WCHRI), Adelaide, South Australia, Australia.,School of Paediatrics & Reproductive Health, University of Adelaide, Adelaide, South Australia, Australia.,South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
| | - Robert Gibson
- School of Agriculture, Food & Wine, University of Adelaide, Adelaide, South Australia, Australia
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Pharande P, Pammi M, Collins CT, Zhou SJ, Abrams SA. Vitamin D supplementation for prevention of vitamin D deficiency in preterm and low birth weight infants. Cochrane Database of Systematic Reviews 2015. [DOI: 10.1002/14651858.cd011529] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Pramod Pharande
- Royal Hospital for Women; Newborn Care Centre; Barker Street Randwick NSW Australia 2032
| | - Mohan Pammi
- Baylor College of Medicine; Section of Neonatology, Department of Pediatrics; 6621, Fannin, MC.WT 6-104 Houston Texas USA 77030
| | - Carmel T Collins
- Women's and Children's Health Research Institute, Flinders Medical Centre and Women's and Children's Hospital; Discipline of Paediatrics, The University of Adelaide; Child Nutrition Research Centre; Flinders Medical Centre Bedford Park South Australia Australia 5042
| | - Shao J Zhou
- Women's and Children's Hospital; School of Agriculture, Food & Wine, University of Adelaide; Women's and Children's Health Research Institute; 72 King William Road North Adelaide Australia 5006
| | - Steven A Abrams
- Children's Nutrition Research Center; Neonatology and USDA/ARS; 1100 Bates Street Room 7066 Houston Texas USA 77030
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Abstract
Mildew resistance locus o (MLO) is a plant-specific seven-transmembrane (TM) gene family. Several studies have revealed that certain members of the MLO gene family mediate powdery mildew susceptibility in three plant species, namely, Arabidopsis, barley, and tomato. The sequenced cucumber genome provides an opportunity to conduct a comprehensive overview of the MLO gene family. Fourteen genes (designated CsMLO01 through CsMLO14) have been identified within the Cucumis sativus genome by using an in silico cloning method with the MLO amino acid sequences of Arabidopsis thaliana and rice as probes. Sequence alignment revealed that numerous features of the gene family, such as TMs, a calmodulin-binding domain, peptide domains I and II, and 30 important amino acid residues for MLO function, are well conserved. Phylogenetic analysis of the MLO genes from cucumber and other plant species reveals seven different clades (I through VII). Three of these clades comprised MLO genes from A. thaliana, rice, maize, and cucumber, suggesting that these genes may have evolved after the divergence of monocots and dicots. In silico mapping showed that these CsMLOs were located on chromosomes 1, 2, 3, 4, 5, and 6 without any obvious clustering, except CsMLO01. To our knowledge, this paper is the first comprehensive report on MLO genes in C. sativus. These findings will facilitate the functional characterization of the MLOs related to powdery mildew susceptibility and assist in the development of disease resistance in cucumber.
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Affiliation(s)
- S J Zhou
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang Province, China
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Zhou SJ, Anderson AJ, Gibson RA, Makrides M. Effect of iodine supplementation in pregnancy on child development and other clinical outcomes: a systematic review of randomized controlled trials. Am J Clin Nutr 2013; 98:1241-54. [PMID: 24025628 DOI: 10.3945/ajcn.113.065854] [Citation(s) in RCA: 76] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Routine iodine supplementation during pregnancy is recommended by leading health authorities worldwide, even in countries where the iodine status of the population is sufficient. OBJECTIVES We evaluated the efficacy and safety of iodine supplementation during pregnancy or the periconceptional period on the development and growth of children. Secondary outcomes included pregnancy outcome and thyroid function. DESIGN A systematic review of randomized controlled trials (RCTs) was conducted. PUBMED, MEDLINE, EMBASE, CINAHL, PsycINFO, and Cochrane Central Register of Controlled Trials databases were searched to identify relevant RCTs. RESULTS Fourteen publications that involved 8 trials met the inclusion criteria. Only 2 included trials reported the growth and development of children and clinical outcomes. Iodine supplementation during pregnancy or the periconceptional period in regions of severe iodine deficiency reduced risk of cretinism, but there were no improvements in childhood intelligence, gross development, growth, or pregnancy outcomes, although there was an improvement in some motor functions. None of the remaining 6 RCTs conducted in regions of mild to moderate iodine deficiency reported childhood development or growth or pregnancy outcomes. Effects of iodine supplementation on the thyroid function of mothers and their children were inconsistent. CONCLUSIONS In this review, we highlight a lack of quality evidence of the effect of prenatal or periconceptional iodine supplementation on growth and cognitive function of children. Although contemporary RCTs of iodine supplementation with outcomes addressing childhood development are indicated, conduct of such RCTs may not be feasible in populations where iodine supplementation in pregnancy is widely practiced.
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Affiliation(s)
- Shao J Zhou
- Women's & Children's Health Research Institute, North Adelaide, Australia (AJA, MM, and SJZ); the School of Paediatrics and Reproductive Health, University of Adelaide, Adelaide, Australia (MM); and the FOODplus Research Centre, School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, Australia (AJA, RAG, MM, and SJZ)
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Abstract
OBJECTIVE To determine the nutrient intakes and status of preschool children from a representative population sample in Adelaide. DESIGN, SETTING AND PARTICIPANTS Cross-sectional survey of children aged 1-5 years, using a stratified random sampling method and a doorknocking strategy, between September 2005 and July 2007. MAIN OUTCOME MEASURES Dietary intake, assessed using a 3-day weighed-food diary; anthropometrics, biomarkers of iron, zinc and vitamin B(12), and fatty acid profiles assessed using standard methods. RESULTS Median energy intakes were within dietary recommendations for the age group. Overall energy contributions from carbohydrate, protein, fat and saturated fat intakes were 50%, 17%, 33% and 16%, respectively. The rates of inadequate intake of iron, zinc, calcium and vitamin C were low, as was the prevalence of iron deficiency (5%). Only a minority of children achieved the adequate intake for n-3 long-chain polyunsaturated fatty acids (32%) and dietary fibre (18%). There was no association between socioeconomic status and intakes of macronutrients and key micronutrients. Fourteen per cent of children were obese (BMI, > 95th percentile); no association between BMI and energy intake was shown. CONCLUSIONS The dietary intake of children in the study was adequate for macronutrients and the majority of micronutrients. However, low intakes of fibre and n-3 long-chain polyunsaturated fatty acids and high saturated fat intakes have raised concerns that this dietary pattern may be associated with adverse long-term health effects.
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Affiliation(s)
- Shao J Zhou
- Women's and Children's Health Research Institute, Adelaide, SA
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Zhou SJ, Yelland L, McPhee AJ, Quinlivan J, Gibson RA, Makrides M. Fish-oil supplementation in pregnancy does not reduce the risk of gestational diabetes or preeclampsia. Am J Clin Nutr 2012; 95:1378-84. [PMID: 22552037 DOI: 10.3945/ajcn.111.033217] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND There is uncertainty regarding the efficacy of increasing n-3 long-chain PUFA (LCPUFA) intake during pregnancy in reducing the risk of gestational diabetes mellitus (GDM) and preeclampsia. OBJECTIVES The objective was to determine whether n-3 LCPUFA supplementation in pregnancy reduces the incidence of GDM or preeclampsia. A secondary objective was to assess the effect of n-3 LCPUFA supplementation on perinatal complications. DESIGN This was a double-blind, multicenter randomized control trial-the DHA to Optimize Mother Infant Outcome (DOMInO) trial. Pregnant women (n = 2399) of <21 wk gestation were randomly assigned to receive DHA-enriched fish oil (800 mg/d) or vegetable oil capsules without DHA from trial entry to birth. The presence of GDM or preeclampsia was assessed through a blinded audit of medical records. Birth outcomes and prenatal complications were also assessed. RESULTS The overall incidences of GDM and preeclampsia were 8% and 5%, respectively, based on clinical diagnosis. The RR of GDM was 0.97 (95% CI: 0.74, 1.27) and of preeclampsia was 0.87 (95% CI: 0.60, 1.25), and they did not differ significantly between the groups. Birth weight, length, and head circumference z scores also did not differ between the groups. There were 12 perinatal deaths and 5 neonatal convulsions in the control group compared with 3 perinatal deaths and no neonatal convulsions in the DHA group (P = 0.03 in both cases). CONCLUSION DHA supplementation of 800 mg/d in the second half of pregnancy does not reduce the risk of GDM or preeclampsia. Whether supplementation reduces the risk of perinatal death and neonatal convulsions requires further investigation. The DOMInO trial was registered with the Australian New Zealand Clinical Trials Registry as TRN12605000569606.
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Affiliation(s)
- Shao J Zhou
- Women's & Children's Health Research Centre, North Adelaide, Australia
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Zhou SJ, Skeaff SA, Ryan P, Makrides M. Iodine deficiency in Australia: is iodine supplementation for pregnant and lactating women warranted? Med J Aust 2010; 193:310; author reply 310-1. [DOI: 10.5694/j.1326-5377.2010.tb03921.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Shao J Zhou
- Child Nutrition Research Centre, Women's and Children's Health Research Institute, University of Adelaide, Adelaide, SA
| | - Sheila A Skeaff
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Philip Ryan
- Discipline of Public Health, University of Adelaide, Adelaide, SA
| | - Maria Makrides
- Child Nutrition Research Centre, Women's and Children's Health Research Institute, University of Adelaide, Adelaide, SA
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Anderson WP, Zhou SJ, Skeaff SA, Ryan P, Makrides M, Gallego G, Goodall S, Eastman CJ. Iodine deficiency in Australia: is iodine supplementation for pregnant and lactating women warranted? Comment. Med J Aust 2010; 193:309; author reply 310-1. [PMID: 20819054 DOI: 10.5694/j.1326-5377.2010.tb03920.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2010] [Accepted: 06/01/2010] [Indexed: 11/17/2022]
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Zhou SJ, Gibson RA, Crowther CA, Makrides M. Should we lower the dose of iron when treating anaemia in pregnancy? A randomized dose-response trial. Eur J Clin Nutr 2009; 63:183-90. [PMID: 17928802 DOI: 10.1038/sj.ejcn.1602926] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2007] [Revised: 07/12/2007] [Accepted: 09/06/2007] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES To compare the efficacy and side effects of low-dose vs high-dose iron supplements to correct anaemia in pregnancy. SUBJECTS/METHODS One hundred and eighty women with anaemia (haemoglobin <110 g l(-1)) in mid-pregnancy. The women were randomly allocated to 20; 40 or 80 mg of iron daily for 8 weeks from mid-pregnancy. RESULTS One hundred and seventy-nine (99%) women completed the trial. At the end of treatment, there was a clear dose-response of increasing mean haemoglobin concentration with iron dose (111+/-13 g l(-1) at 20 mg per day, 114+/-11 g l(-1) at 40 mg per day and 119+/-12 g l(-1) at 80 mg per day, P=0.006). However, the incidence of anaemia did not differ statistically between groups. Compared with women in the 80 mg iron group, the odds ratio of anaemia was 1.9 (95% CI: 0.8, 4.3, P=0.130) and 1.1 (95% CI: 0.5, 2.6, P=0.827), respectively, for women in the 20 mg iron group and the 40 mg iron group. The incidence of gastrointestinal side effects was significantly lower for women in the 20 mg iron group compared with women in the 80 mg iron group; the odds ratio was 0.4 (95% CI: 0.2, 0.8, P=0.014) for nausea, 0.3 (95% CI: 0.2, 0.7, P=0.005) for stomach pain and 0.4 (95% CI: 0.2, 0.9, P=0.023) for vomiting. CONCLUSIONS Low-dose iron supplements may be effective at treating anaemia in pregnancy with less gastrointestinal side effects compared with high-dose supplements.
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Affiliation(s)
- S J Zhou
- Child Nutrition Research Centre, Flinders Medical Centre and Women's & Children's Hospital, Child Health Research Institute, North Adelaide, SA, Australia
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Zhou SJ, Gibson RA, Makrides M. Routine iron supplementation in pregnancy has no effect on iron status of children at six months and four years of age. J Pediatr 2007; 151:438-40. [PMID: 17889086 DOI: 10.1016/j.jpeds.2007.06.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2007] [Revised: 05/04/2007] [Accepted: 06/01/2007] [Indexed: 10/22/2022]
Abstract
The iron status at 6 months and 4 years of children born to women who were randomly allocated to receive 20 mg of iron daily in the second half of pregnancy did not differ from children of mothers in the control group.
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Affiliation(s)
- Shao J Zhou
- Child Nutrition Research Centre, Flinders Medical Centre and Women's & Children's Hospital, Child Health Research Institute, North Adelaide, Australia
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Adler SS, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Alexander J, Amirikas R, Aphecetche L, Aronson SH, Averbeck R, Awes TC, Azmoun R, Babintsev V, Baldisseri A, Barish KN, Barnes PD, Bassalleck B, Bathe S, Batsouli S, Baublis V, Bazilevsky A, Belikov S, Berdnikov Y, Bhagavatula S, Boissevain JG, Borel H, Borenstein S, Brooks ML, Brown DS, Bruner N, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camard X, Chai JS, Chand P, Chang WC, Chernichenko S, Chi CY, Chiba J, Chiu M, Choi IJ, Choi J, Choudhury RK, Chujo T, Chung P, Cianciolo V, Cobigo Y, Cole BA, Constantin P, Csanád M, Csörgo T, d'Enterria D, David G, Delagrange H, Denisov A, Deshpande A, Desmond EJ, Devismes A, Dietzsch O, Drapier O, Drees A, du Rietz R, Durum A, Dutta D, Efremenko YV, Chenawi KE, Enokizono A, En'yo H, Esumi S, Ewell L, Fields DE, Fleuret F, Fokin SL, Fox BD, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fung SY, Garpman S, Ghosh TK, Glenn A, Gogiberidze G, Gonin M, Gosset J, Goto Y, Granier de Cassagnac R, Grau N, Greene SV, Perdekamp MG, Guryn W, Gustafsson HA, Hachiya T, Haggerty JS, Hamagaki H, Hansen AG, Hartouni EP, Harvey M, Hayano R, Hayashi N, He X, Heffner M, Hemmick TK, Heuser JM, Hibino M, Hill JC, Holzmann W, Homma K, Hong B, Hoover A, Ichihara T, Ikonnikov VV, Imai K, Isenhower D, Ishihara M, Issah M, Isupov A, Jacak BV, Jang WY, Jeong Y, Jia J, Jinnouchi O, Johnson BM, Johnson SC, Joo KS, Jouan D, Kametani S, Kamihara N, Kang JH, Kapoor SS, Katou K, Kelly S, Khachaturov B, Khanzadeev A, Kikuchi J, Kim DH, Kim DJ, Kim DW, Kim E, Kim GB, Kim HJ, Kistenev E, Kiyomichi A, Kiyoyama K, Klein-Boesing C, Kobayashi H, Kochenda L, Kochetkov V, Koehler D, Kohama T, Kopytine M, Kotchetkov D, Kozlov A, Kroon PJ, Kuberg CH, Kurita K, Kuroki Y, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Ladygin V, Lajoie JG, Lebedev A, Leckey S, Lee DM, Lee S, Leitch MJ, Li XH, Lim H, Litvinenko A, Liu MX, Liu Y, Maguire CF, Makdisi YI, Malakhov A, Manko VI, Mao Y, Martinez G, Marx MD, Masui H, Matathias F, Matsumoto T, McGaughey PL, Melnikov E, Messer F, Miake Y, Milan J, Miller TE, Milov A, Mioduszewski S, Mischke RE, Mishra GC, Mitchell JT, Mohanty AK, Morrison DP, Moss JM, Mühlbacher F, Mukhopadhyay D, Muniruzzaman M, Murata J, Nagamiya S, Nagle JL, Nagy M, Nakamura T, Nandi BK, Nara M, Newby J, Nilsson P, Nyanin AS, Nystrand J, O'Brien E, Ogilvie CA, Ohnishi H, Ojha ID, Okada K, Ono M, Onuchin V, Oskarsson A, Otterlund I, Oyama K, Ozawa K, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park J, Parmar A, Pate SF, Peitzmann T, Peng JC, Peresedov V, Pinkenburg C, Pisani RP, Plasil F, Purschke ML, Purwar AK, Rak J, Ravinovich I, Read KF, Reuter M, Reygers K, Riabov V, Riabov Y, Roche G, Romana A, Rosati M, Rosnet P, Ryu SS, Sadler ME, Saito N, Sakaguchi T, Sakai M, Sakai S, Samsonov V, Sanfratello L, Santo R, Sato HD, Sato S, Sawada S, Schutz Y, Semenov V, Seto R, Shaw MR, Shea TK, Shibata TA, Shigaki K, Shiina T, Silva CL, Silvermyr D, Sim KS, Singh CP, Singh V, Sivertz M, Soldatov A, Soltz RA, Sondheim WE, Sorensen SP, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Sullivan JP, Takagui EM, Taketani A, Tamai M, Tanaka KH, Tanaka Y, Tanida K, Tannenbaum MJ, Taranenko A, Tarján P, Tepe JD, Thomas TL, Tojo J, Torii H, Towell RS, Tserruya I, Tsuruoka H, Tuli SK, Tydesjö H, Tyurin N, van Hecke HW, Velkovska J, Velkovsky M, Veszprémi V, Villatte L, Vinogradov AA, Volkov MA, Vznuzdaev E, Wang XR, Watanabe Y, White SN, Wohn FK, Woody CL, Xie W, Yang Y, Yanovich A, Yokkaichi S, Young GR, Yushmanov IE, Zajc WA, Zhang C, Zhou S, Zhou SJ, Zolin L. Evidence for a long-range component in the pion emission source in Au+Au collisions at sqrt sNN=200 GeV. Phys Rev Lett 2007; 98:132301. [PMID: 17501193 DOI: 10.1103/physrevlett.98.132301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2006] [Indexed: 05/15/2023]
Abstract
Emission source functions are extracted from correlation functions constructed from charged pions produced at midrapidity in Au+Au collisions at sqrt[s(NN)]=200 GeV. The source parameters extracted from these functions at low k(T) give first indications of a long tail for the pion emission source. The source extension cannot be explained solely by simple kinematic considerations. The possible role of a halo of secondary pions from resonance emissions is explored.
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Affiliation(s)
- S S Adler
- Brookhaven National Laboratory, Upton, New York 11973-5000, USA
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Zhou SJ, Baghurst P, Gibson RA, Makrides M. Home environment, not duration of breast-feeding, predicts intelligence quotient of children at four years. Nutrition 2007; 23:236-41. [PMID: 17320351 DOI: 10.1016/j.nut.2006.12.011] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2006] [Revised: 12/19/2006] [Accepted: 12/21/2006] [Indexed: 11/28/2022]
Abstract
OBJECTIVE We investigated the relation between duration of breast-feeding in infancy and the intelligence quotient (IQ) of children at 4 y of age in a well-nourished population of an industrialized country. METHODS Data on duration of breast-feeding were collected prospectively from a cohort of 302 children born between 1998 and 1999 in Adelaide, Australia. The IQ of the children was assessed at 4 y of age using the Stanford-Binet Intelligence Scale. Information on important predictors of childhood IQ including the quality of the home environment was also collected prospectively. Regression analyses were conducted to examine the effect of duration of breast-feeding on IQ with adjustment for potential confounders. RESULTS There was no association between the duration of breast-feeding and IQ of the children. The expected IQ of a child at 4 y of age who was breast-fed for 6 mo was only 0.2 point (95% confidence interval -0.8 to 1.2) higher than that of a child who had never been breast-fed after adjustments for the quality of the home environment and socioeconomic characteristics of families using multivariable regression analysis. The quality of the home environment, as assessed by the Home Screening Questionnaire, was the strongest predictor of IQ at 4 y. CONCLUSION There was no association between duration of breast-feeding and childhood IQ in this relatively well-nourished cohort from an industrialized society. In such settings, the apparent benefit of breast-feeding on cognitive function is most likely attributable to sociodemographic factors.
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Affiliation(s)
- Shao J Zhou
- Child Nutrition Research Centre, Flinders Medical Centre and Women's and Children's Hospital, Child Health Research Institute, North Adelaide, South Australia, Australia
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Adler SS, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Alexander J, Amirikas R, Aphecetche L, Aronson SH, Averbeck R, Awes TC, Azmoun R, Babintsev V, Baldisseri A, Barish KN, Barnes PD, Bassalleck B, Bathe S, Batsouli S, Baublis V, Bazilevsky A, Belikov S, Berdnikov Y, Bhagavatula S, Boissevain JG, Borel H, Borenstein S, Brooks ML, Brown DS, Bruner N, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camard X, Chai JS, Chand P, Chang WC, Chernichenko S, Chi CY, Chiba J, Chiu M, Choi IJ, Choi J, Choudhury RK, Chujo T, Cianciolo V, Cobigo Y, Cole BA, Constantin P, d'Enterria D, David G, Delagrange H, Denisov A, Deshpande A, Desmond EJ, Devismes A, Dietzsch O, Drapier O, Drees A, du Rietz R, Durum A, Dutta D, Efremenko YV, El Chenawi K, Enokizono A, En'yo H, Esumi S, Ewell L, Fields DE, Fleuret F, Fokin SL, Fox BD, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fung SY, Garpman S, Ghosh TK, Glenn A, Gogiberidze G, Gonin M, Gosset J, Goto Y, Granier de Cassagnac R, Grau N, Greene SV, Grosse Perdekamp M, Guryn W, Gustafsson HA, Hachiya T, Haggerty JS, Hamagaki H, Hansen AG, Hartouni EP, Harvey M, Hayano R, Hayashi N, He X, Heffner M, Hemmick TK, Heuser JM, Hibino M, Hill JC, Holzmann W, Homma K, Hong B, Hoover A, Ichihara T, Ikonnikov VV, Imai K, Isenhower D, Ishihara M, Issah M, Isupov A, Jacak BV, Jang WY, Jeong Y, Jia J, Jinnouchi O, Johnson BM, Johnson SC, Joo KS, Jouan D, Kametani S, Kamihara N, Kang JH, Kapoor SS, Katou K, Kelly S, Khachaturov B, Khanzadeev A, Kikuchi J, Kim DH, Kim DJ, Kim DW, Kim E, Kim GB, Kim HJ, Kistenev E, Kiyomichi A, Kiyoyama K, Klein-Boesing C, Kobayashi H, Kochenda L, Kochetkov V, Koehler D, Kohama T, Kopytine M, Kotchetkov D, Kozlov A, Kroon PJ, Kuberg CH, Kurita K, Kuroki Y, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Ladygin V, Lajoie JG, Lebedev A, Leckey S, Lee DM, Lee S, Leitch MJ, Li XH, Lim H, Litvinenko A, Liu MX, Liu Y, Maguire CF, Makdisi YI, Malakhov A, Manko VI, Mao Y, Martinez G, Marx MD, Masui H, Matathias F, Matsumoto T, McGaughey PL, Melnikov E, Messer F, Miake Y, Milan J, Miller TE, Milov A, Mioduszewski S, Mischke RE, Mishra GC, Mitchell JT, Mohanty AK, Morrison DP, Moss JM, Mühlbacher F, Mukhopadhyay D, Muniruzzaman M, Murata J, Nagamiya S, Nagle JL, Nakamura T, Nandi BK, Nara M, Newby J, Nilsson P, Nyanin AS, Nystrand J, O'Brien E, Ogilvie CA, Ohnishi H, Ojha ID, Okada K, Ono M, Onuchin V, Oskarsson A, Otterlund I, Oyama K, Ozawa K, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park J, Parmar A, Pate SF, Peitzmann T, Peng JC, Peresedov V, Pinkenburg C, Pisani RP, Plasil F, Purschke ML, Purwar AK, Rak J, Ravinovich I, Read KF, Reuter M, Reygers K, Riabov V, Riabov Y, Roche G, Romana A, Rosati M, Rosnet P, Ryu SS, Sadler ME, Saito N, Sakaguchi T, Sakai M, Sakai S, Samsonov V, Sanfratello L, Santo R, Sato HD, Sato S, Sawada S, Schutz Y, Semenov V, Seto R, Shaw MR, Shea TK, Shibata TA, Shigaki K, Shiina T, Silva CL, Silvermyr D, Sim KS, Singh CP, Singh V, Sivertz M, Soldatov A, Soltz RA, Sondheim WE, Sorensen SP, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Sullivan JP, Takagui EM, Taketani A, Tamai M, Tanaka KH, Tanaka Y, Tanida K, Tannenbaum MJ, Tarján P, Tepe JD, Thomas TL, Tojo J, Torii H, Towell RS, Tserruya I, Tsuruoka H, Tuli SK, Tydesjö H, Tyurin N, van Hecke HW, Velkovska J, Velkovsky M, Veszprémi V, Villatte L, Vinogradov AA, Volkov MA, Vznuzdaev E, Wang XR, Watanabe Y, White SN, Wohn FK, Woody CL, Xie W, Yang Y, Yanovich A, Yokkaichi S, Young GR, Yushmanov IE, Zajc WA, Zhang C, Zhou S, Zhou SJ, Zolin L. Dense-medium modifications to jet-induced hadron pair distributions in Au+Au collisions at sqrt s NN=200 GeV. Phys Rev Lett 2006; 97:052301. [PMID: 17026095 DOI: 10.1103/physrevlett.97.052301] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2005] [Indexed: 05/12/2023]
Abstract
Azimuthal correlations of jet-induced high-p(T) charged hadron pairs are studied at midrapidity in Au+Au collisions at sqrt[s(NN)]=200 GeV. The distribution of jet-associated partner hadrons (1.0<p(T)<2.5 GeV/c) per trigger hadron (2.5<p(T)<4.0 GeV/c) is found to vary with collision centrality, in both shape and yield, indicating a significant effect of the nuclear collision medium on the jet fragmentation process.
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Affiliation(s)
- S S Adler
- Brookhaven National Laboratory, Upton, New York 11973-5000, USA
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Adler SS, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Alexander J, Amirikas R, Aphecetche L, Aronson SH, Averbeck R, Awes TC, Azmoun R, Babintsev V, Baldisseri A, Barish KN, Barnes PD, Bassalleck B, Bathe S, Batsouli S, Baublis V, Bazilevsky A, Belikov S, Berdnikov Y, Bhagavatula S, Boissevain JG, Borel H, Borenstein S, Brooks ML, Brown DS, Bruner N, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camard X, Chai JS, Chand P, Chang WC, Chernichenko S, Chi CY, Chiba J, Chiu M, Choi IJ, Choi J, Choudhury RK, Chujo T, Cianciolo V, Cobigo Y, Cole BA, Constantin P, d'Enterria D, David G, Delagrange H, Denisov A, Deshpande A, Desmond EJ, Devismes A, Dietzsch O, Drapier O, Drees A, du Rietz R, Durum A, Dutta D, Efremenko YV, Chenawi KE, Enokizono A, En'yo H, Esumi S, Ewell L, Fields DE, Fleuret F, Fokin SL, Fox BD, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fung SY, Garpman S, Ghosh TK, Glenn A, Gogiberidze G, Gonin M, Gosset J, Goto Y, de Cassagnac RG, Grau N, Greene SV, Perdekamp MG, Guryn W, Gustafsson HA, Hachiya T, Haggerty JS, Hamagaki H, Hansen AG, Hartouni EP, Harvey M, Hayano R, Hayashi N, He X, Heffner M, Hemmick TK, Heuser JM, Hibino M, Hiejima H, Hill JC, Holzmann W, Homma K, Hong B, Hoover A, Ichihara T, Ikonnikov VV, Imai K, Isenhower D, Ishihara M, Issah M, Isupov A, Jacak BV, Jang WY, Jeong Y, Jia J, Jinnouchi O, Johnson BM, Johnson SC, Joo KS, Jouan D, Kametani S, Kamihara N, Kang JH, Kapoor SS, Katou K, Kelly S, Khachaturov B, Khanzadeev A, Kikuchi J, Kim DH, Kim DJ, Kim DW, Kim E, Kim GB, Kim HJ, Kistenev E, Kiyomichi A, Kiyoyama K, Klein-Boesing C, Kobayashi H, Kochenda L, Kochetkov V, Koehler D, Kohama T, Kopytine M, Kotchetkov D, Kozlov A, Kroon PJ, Kuberg CH, Kurita K, Kuroki Y, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Ladygin V, Lajoie JG, Lebedev A, Leckey S, Lee DM, Lee S, Leitch MJ, Li XH, Lim H, Litvinenko A, Liu MX, Liu Y, Maguire CF, Makdisi YI, Malakhov A, Manko VI, Mao Y, Martinez G, Marx MD, Masui H, Matathias F, Matsumoto T, McGaughey PL, Melnikov E, Messer F, Miake Y, Milan J, Miller TE, Milov A, Mioduszewski S, Mischke RE, Mishra GC, Mitchell JT, Mohanty AK, Morrison DP, Moss JM, Mühlbacher F, Mukhopadhyay D, Muniruzzaman M, Murata J, Nagamiya S, Nagle JL, Nakamura T, Nandi BK, Nara M, Newby J, Nilsson P, Nyanin AS, Nystrand J, O'Brien E, Ogilvie CA, Ohnishi H, Ojha ID, Okada K, Ono M, Onuchin V, Oskarsson A, Otterlund I, Oyama K, Ozawa K, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park J, Parmar A, Pate SF, Peitzmann T, Peng JC, Peresedov V, Pinkenburg C, Pisani RP, Plasil F, Purschke ML, Purwar AK, Rak J, Ravinovich I, Read KF, Reuter M, Reygers K, Riabov V, Riabov Y, Roche G, Romana A, Rosati M, Rosnet P, Ryu SS, Sadler ME, Sahlmueller B, Saito N, Sakaguchi T, Sakai M, Sakai S, Samsonov V, Sanfratello L, Santo R, Sato HD, Sato S, Sawada S, Schutz Y, Semenov V, Seto R, Shaw MR, Shea TK, Shibata TA, Shigaki K, Shiina T, Silva CL, Silvermyr D, Sim KS, Singh CP, Singh V, Sivertz M, Soldatov A, Soltz RA, Sondheim WE, Sorensen SP, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Sullivan JP, Takagui EM, Taketani A, Tamai M, Tanaka KH, Tanaka Y, Tanida K, Tannenbaum MJ, Tarján P, Tepe JD, Thomas TL, Tojo J, Torii H, Towell RS, Tserruya I, Tsuruoka H, Tuli SK, Tydesjö H, Tyurin N, van Hecke HW, Velkovska J, Velkovsky M, Veszprémi V, Villatte L, Vinogradov AA, Volkov MA, Vznuzdaev E, Wang XR, Watanabe Y, White SN, Wohn FK, Woody CL, Xie W, Yang Y, Yanovich A, Yokkaichi S, Young GR, Yushmanov IE, Zajc WA, Zhang C, Zhou S, Zhou SJ, Zolin L. Common suppression pattern of eta and pi0 mesons at high transverse momentum in Au + Au collisions at square root S(NN) = 200 GeV. Phys Rev Lett 2006; 96:202301. [PMID: 16803168 DOI: 10.1103/physrevlett.96.202301] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2006] [Indexed: 05/10/2023]
Abstract
Inclusive transverse momentum spectra of eta mesons have been measured within p(T) = 2-10 GeV/c at midrapidity by the PHENIX experiment in Au + Au collisions at square root S(NN) = 200 GeV. In central Au+Au the eta yields are significantly suppressed compared to peripheral Au + Au, d + Au, and p + p yields scaled by the corresponding number of nucleon-nucleon collisions. The magnitude, centrality, and p(T) dependence of the suppression is common, within errors, for eta and pi0. The ratio of eta to pi0 spectra at high p(T) amounts to 0.40 < R(eta/pi)0 < 0.48 for the three systems, in agreement with the world average measured in hadronic and nuclear reactions and, at large scaled momentum, in e+e- collisions.
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Affiliation(s)
- S S Adler
- Brookhaven National Laboratory, Upton, New York 11973-5000, USA
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Zhou SJ, Gibson RA, Crowther CA, Baghurst P, Makrides M. Effect of iron supplementation during pregnancy on the intelligence quotient and behavior of children at 4 y of age: long-term follow-up of a randomized controlled trial. Am J Clin Nutr 2006; 83:1112-7. [PMID: 16685054 DOI: 10.1093/ajcn/83.5.1112] [Citation(s) in RCA: 83] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Iron supplements are often prescribed during pregnancy despite the lack of intervention trials that have assessed the effects of supplementation in pregnancy on childhood development. OBJECTIVE The objective was to determine whether iron supplementation during pregnancy influences childhood intelligence quotient (IQ) in an industrialized country. DESIGN Pregnant women (n = 430) were randomly allocated to receive iron (20 mg/d) or placebo from 20 wk gestation until delivery, and the women and their children were followed up over the long term (4 y). Seventy percent of these families participated in the follow-up. The proportion of women with iron deficiency anemia at the end of pregnancy was 1% (2 of 146) in the iron group and 11% (15 of 141) in the placebo group. The primary outcome was the IQ of the children at 4 y of age, as assessed by the Stanford-Binet Intelligence Scale. Secondary outcomes included child behavior and the general health of the mothers. RESULTS The mean IQ was not significantly different (P = 0.980) between the children of the iron-supplemented mothers (109 +/- 11; n = 153) and the children of the mothers in the placebo group (109 +/- 11; n = 149). However, the percentage of children with an abnormal behavior score was higher in the iron group (24 of 151, or 16%) than in the placebo group (12 of 149, or 8%); the relative risk was 1.97 (95% CI: 1.03, 3.80; P = 0.037). There was no significant difference in the health of the mothers between groups, as assessed by the SF-36 Health Survey. CONCLUSIONS Prenatal iron supplementation that reduces the incidence of iron deficiency anemia from 11% to 1% has no effect on the IQ of the offspring at 4 y of age.
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Affiliation(s)
- Shao J Zhou
- Child Nutrition Research Centre and the Department of Pediatrics, Women's & Children's Hospital, University of Adelaide, North Adelaide, Australia
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