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Chuang FC, Huang HY, Chen YH, Huang JP. Optimal gestational weight gain in Taiwan: A retrospective cohort study. Taiwan J Obstet Gynecol 2024; 63:220-224. [PMID: 38485318 DOI: 10.1016/j.tjog.2024.01.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2024] [Indexed: 03/19/2024] Open
Abstract
OBJECTIVE Maternal body mass index (BMI) and gestational weight gain (GWG) are believed to be associated with fetal conditions and maternal complications. The aim of this study was investigating the influence of maternal prepregnancy BMI and GWG on pregnancy outcomes and exploring the optimal GWG in Taiwanese singleton women. MATERIALS AND METHODS Retrospective records of 8146 singleton pregnant women between 2017 and 2019, obtained from a tertiary center in Taiwan were reviewed, and the associations between maternal prepregnancy BMI, GWG, and perinatal outcomes were analyzed. The patients were divided into five groups based on prepregnancy BMIs, defined by Taiwan Health Promotion Administration, as underweight (BMI <18.5 kg/m2), normal-weight (18.5 ≤ BMI <24 kg/m2), overweight (24.0 ≤ BMI <27.0 kg/m2), mild obese (27.0 ≤ BMI <30 kg/m2) and moderate-to-severe obese (BMI ≥30.0 kg/m2), and the lowest risks of different complications were summarized in each group. Also, using the Institute of Medicine and Japanese guidelines as reference, the Taiwanese recommendations for GWG were revised. RESULTS The rate of cesarean section, hypertensive disorder, preeclampsia, preeclampsia with severe features, and preterm birth were higher in prepregnancy overweight and obese women than in normal-weight women (p < 0.05). In the Taiwanese population, the recommended GWG for underweight pregnant women is 11-15 kg, for normal-weight pregnant women, it is 9.4-13.5 kg, for overweight pregnant women, it is 7.9-11.4 kg, for mild obese pregnant women, it is 7.3-10 kg, and for moderate-to-severe obese pregnant women, it is 4.9-9 kg with lowest perinatal complications. CONCLUSIONS Unsatisfactory controlled prepregnancy weight (BMI ≥24) and inappropriate body weight gain during pregnancy can increase the risk of adverse pregnancy complications. Taiwanese GWG guidelines should be revised based on the characteristics and clinical data of the local population.
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Affiliation(s)
- Fu-Ching Chuang
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Hsin-Yin Huang
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Yu-Hao Chen
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Jian-Pei Huang
- Department of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan; MacKay Junior College of Medicine, Nursing and Management, New Taipei City, 251, Taiwan; Department of Medicine, MacKay Medical College, New Taipei City, 252, Taiwan.
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Figaroa MNS, Gielen M, Casas L, Loos RJF, Derom C, Weyers S, Nawrot TS, Zeegers MP, Bijnens EM. Early-life residential green spaces and traffic exposure in association with young adult body composition: a longitudinal birth cohort study of twins. Environ Health 2023; 22:18. [PMID: 36800959 PMCID: PMC9936720 DOI: 10.1186/s12940-023-00964-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 01/11/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Globally, the rapid increase of obesity is reaching alarming proportions. A new approach to reduce obesity and its comorbidities involves tackling the built environment. Environmental influences seem to play an important role, but the environmental influences in early life on adult body composition have not been thoroughly investigated. This study seeks to fill the research gap by examining early-life exposure to residential green spaces and traffic exposure in association with body composition among a population of young adult twins. METHODS As part of the East Flanders Prospective Twin Survey (EFPTS) cohort, this study included 332 twins. Residential addresses of the mothers at time of birth of the twins were geocoded to determine residential green spaces and traffic exposure. To capture body composition, body mass index, waist-to-hip ratio (WHR), waist circumference, skinfold thickness, leptin levels, and fat percentage were measured at adult age. Linear mixed modelling analyses were conducted to investigate early-life environmental exposures in association with body composition, while accounting for potential confounders. In addition, moderator effects of zygosity/chorionicity, sex and socio-economic status were tested. RESULTS Each interquartile range (IQR) increase in distance to highway was found associated with an increase of 1.2% in WHR (95%CI 0.2-2.2%). For landcover of green spaces, each IQR increase was associated with 0.8% increase in WHR (95%CI 0.4-1.3%), 1.4% increase in waist circumference (95%CI 0.5-2.2%), and 2.3% increase in body fat (95%CI 0.2-4.4%). Stratified analyses by zygosity/chorionicity type indicated that in monozygotic monochorionic twins, each IQR increase in land cover of green spaces was associated with 1.3% increase in WHR (95%CI 0.5-2.1%). In monozygotic dichorionic twins, each IQR increase in land cover of green spaces was associated with 1.4% increase in waist-circumference (95%CI 0.6-2.2%). CONCLUSIONS The built environment in which mothers reside during pregnancy might play a role on body composition among young adult twins. Our study revealed that based on zygosity/chorionicity type differential effects of prenatal exposure to green spaces on body composition at adult age might exist.
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Affiliation(s)
- M N S Figaroa
- Department of Epidemiology and Social Medicine, University of Antwerp, Antwerp, Belgium
| | - M Gielen
- Department of Epidemiology, NUTRIM School for Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200, MD, Maastricht, The Netherlands.
| | - L Casas
- Social Epidemiology and Health Policy, Department of Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium
- Institute for Environment and Sustainable Development (IMDO), University of Antwerp, Antwerp, Belgium
| | - R J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - C Derom
- Department of Human Structure and Repair, University Ghent, Ghent, Belgium
| | - S Weyers
- Department of Human Structure and Repair, University Ghent, Ghent, Belgium
| | - T S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - M P Zeegers
- Department of Epidemiology, NUTRIM School for Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200, MD, Maastricht, The Netherlands
- Department of Epidemiology, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | - E M Bijnens
- Department of Human Structure and Repair, University Ghent, Ghent, Belgium
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Department of Environmental Sciences, Faculty of Science, Open University, Heerlen, The Netherlands
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LeBlanc ES, Boisvert C, Catlin C, Lee MH, Smith N, Vesco KK, Savage J, Mitchell DC, Gruß I, Stevens VJ. Prepare randomized clinical trial: Acceptability, engagement, and lifestyle effects of a weight loss intervention beginning in pre-pregnancy. Obes Sci Pract 2022; 8:603-616. [PMID: 36238226 PMCID: PMC9535669 DOI: 10.1002/osp4.596] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/25/2022] [Accepted: 01/30/2022] [Indexed: 12/05/2022] Open
Abstract
Background Healthier lifestyles in early pregnancy are associated with lower rates of pregnancy complications, childhood adiposity, and maternal and child cardiovascular risks. However, it is not known whether lifestyle coaching initiated prior to pregnancy can affect behavior and attitudes during pregnancy. Methods Three hundred and twenty six women planning pregnancy within 2 years with BMI ≥27 kg/m2 were randomized to a behavioral weight loss intervention or to usual care. Analyses reported here examined the intervention's impact on mid-pregnancy diet quality and activity levels; program acceptability; and effects of pregnancy on intervention engagement. Results One hundred and sixty eight participants experienced pregnancy during the study (intervention: 91; usual care: 77). From randomization to mid-pregnancy, participants who received the intervention had larger increases in fruit intake than usual care participants (+0.67 vs. +0.06 cups; p = 0.02) and engaged in more vigorous-intensity activity (3.9 [5.5] vs. 1.2 [3.0] Met-hr/week p = 0.002) and sports/exercise (17.0 [14.1] vs. 11.0 [9.5] Met-hr/week; p = 0.03); the groups also differed in changes in sedentary time (-4.9 [15.0] vs. +0.5 [7.6] Met-hr/week; p = 0.02). Intervention satisfaction was high (>80%), and experiencing pregnancy during the intervention was associated with higher engagement. Conclusion A coaching-based intervention beginning in pre-pregnancy successfully helped women attain healthier diet and exercise habits in mid-pregnancy. Clinical trials registration Registered with ClinicalTrials.gov, NCT02346162, first registered on January 26, 2015, before date of initial participant enrollment (May 2015), https://clinicaltrials.gov/ct2/show/NCT02346162.
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Affiliation(s)
- Erin S. LeBlanc
- Kaiser PermanenteCenter for Health ResearchPortlandOregonUSA
| | | | - Chris Catlin
- Kaiser PermanenteCenter for Health ResearchPortlandOregonUSA
| | - Mi H. Lee
- Kaiser PermanenteCenter for Health ResearchPortlandOregonUSA
| | - Ning Smith
- Kaiser PermanenteCenter for Health ResearchPortlandOregonUSA
| | | | - Jennifer Savage
- Center for Childhood Obesity ResearchThe Pennsylvania State UniversityUniversity ParkPennsylvaniaUSA
| | - Diane C. Mitchell
- Department of Nutritional SciencesThe Pennsylvania State UniversityUniversity ParkPennsylvaniaUSA
| | - Inga Gruß
- Kaiser PermanenteCenter for Health ResearchPortlandOregonUSA
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Programming by maternal obesity: a pathway to poor cardiometabolic health in the offspring. Proc Nutr Soc 2022; 81:227-242. [DOI: 10.1017/s0029665122001914] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
There is an ever increasing prevalence of maternal obesity worldwide such that in many populations over half of women enter pregnancy either overweight or obese. This review aims to summarise the impact of maternal obesity on offspring cardiometabolic outcomes. Maternal obesity is associated with increased risk of adverse maternal and pregnancy outcomes. However, beyond this exposure to maternal obesity during development also increases the risk of her offspring developing long-term adverse cardiometabolic outcomes throughout their adult life. Both human studies and those in experimental animal models have shown that maternal obesity can programme increased risk of offspring developing obesity and adipose tissue dysfunction; type 2 diabetes with peripheral insulin resistance and β-cell dysfunction; CVD with impaired cardiac structure and function and hypertension via impaired vascular and kidney function. As female offspring themselves are therefore likely to enter pregnancy with poor cardiometabolic health this can lead to an inter-generational cycle perpetuating the transmission of poor cardiometabolic health across generations. Maternal exercise interventions have the potential to mitigate some of the adverse effects of maternal obesity on offspring health, although further studies into long-term outcomes and how these translate to a clinical context are still required.
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Msollo SS, Martin HD, Mwanri AW, Petrucka P. Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania. BMC Pregnancy Childbirth 2022; 22:545. [PMID: 35794524 PMCID: PMC9258134 DOI: 10.1186/s12884-022-04838-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 06/10/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Screening for gestational diabetes mellitus in Tanzania is challenged by limited resources. Therefore, this study aimed to develop a simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania. METHODS This study used data from a cross sectional study, that was conducted between March and December 2018 in Arusha District involving 468 pregnant women who were not known to have diabetes before pregnancy. Urine glucose was tested using urine multistics and blood glucose levels by Gluco-Plus™ and diagnosed in accordance with the World Health Organization's criteria. Anthropometrics were measured using standard procedures and maternal characteristics were collected through face-to-face interviews using a questionnaire with structured questions. Univariate analysis assessed individual variables association with gestational diabetes mellitus where variables with p-value of < 0.05 were included in multivariable analysis and predictors with p-value < 0.1 remained in the final model. Each variable was scored based on its estimated coefficients and risk scores were calculated by multiplying the corresponding coefficients by ten to get integers. The model's performance was assessed using c-statistic. Data were analyzed using Statistical Package for Social Science™. RESULTS The risk score included body fat ≥ 38%, delivery to macrosomic babies, mid-upper arm circumference ≥ 28 cm, and family history of type 2 diabetes mellitus. The score correctly identified 98% of women with gestational diabetes with an area under the receiver operating characteristic curve of 0.97 (95% CI 0.96-0.99, p < 0.001), sensitivity of 0.98, and specificity of 0.46. CONCLUSION The developed screening tool is highly sensitive and correctly differentiates women with and without gestational diabetes mellitus in a Tanzanian sub-population.
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Affiliation(s)
- Safiness Simon Msollo
- Depertment of Food Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Haikael David Martin
- School of Life Sciences, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
| | - Akwilina Wendelin Mwanri
- Depertment of Food Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Pammla Petrucka
- College of Nursing, University of Saskatchewan, Saskatoon, Canada
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Wu HY, Cheng Y, Jin LY, Zhou Y, Pang HY, Zhu H, Yan CC, Yan YS, Yu JE, Sheng JZ, Huang HF. Paternal obesity impairs hepatic gluconeogenesis of offspring by altering Igf2/H19 DNA methylation. Mol Cell Endocrinol 2021; 529:111264. [PMID: 33811969 DOI: 10.1016/j.mce.2021.111264] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/23/2021] [Accepted: 03/24/2021] [Indexed: 11/16/2022]
Abstract
Over the past four decades, the global prevalence of obesity has increased rapidly in all age ranges. Emerging evidence suggests that paternal lifestyle and environmental exposure have a crucial role in the health of offspring. Therefore, the current study investigated the impact of paternal obesity on the metabolic profile of offspring in a male mouse model of obesity. Female offspring of obese fathers fed a high-fat diet (HFD) (60% kcal fat) showed hyperglycemia because of enhanced gluconeogenesis and elevated expression of phosphoenolpyruvate carboxykinase (PEPCK), which is a key enzyme involved in the regulation of gluconeogenesis. Methylation of the Igf2/H19 imprinting control region (ICR) was dysregulated in the liver of offspring, and the sperm, of HFD fathers, suggesting that epigenetic changes in germ cells contribute to this father-offspring transmission. In addition, we explored whether H19 might regulate hepatic gluconeogenesis. Our results showed that overexpression of H19 in Hepa1-6 cells enhanced the expression of PEPCK and gluconeogenesis by promoting nuclear retention of forkhead box O1 (FOXO1), which is involved in the transcriptional regulation of Pepck. Thus, the current study suggests that paternal exposure to HFD impairs the gluconeogenesis of offspring via altered Igf2/H19 DNA methylation.
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Affiliation(s)
- Hai-Yan Wu
- The Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yi Cheng
- The Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Lu-Yang Jin
- The Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yin Zhou
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Hai-Yan Pang
- The Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Hong Zhu
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Cao-Chong Yan
- The Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yi-Shang Yan
- The Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jia-En Yu
- The Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jian-Zhong Sheng
- The Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; Department of Pathology and Pathophysiology, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - He-Feng Huang
- The Key Laboratory of Reproductive Genetics (Zhejiang University), Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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Muche AA, Olayemi OO, Gete YK. Effects of gestational diabetes mellitus on risk of adverse maternal outcomes: a prospective cohort study in Northwest Ethiopia. BMC Pregnancy Childbirth 2020; 20:73. [PMID: 32013909 PMCID: PMC6998275 DOI: 10.1186/s12884-020-2759-8] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 01/22/2020] [Indexed: 02/07/2023] Open
Abstract
Background Gestational diabetes mellitus is a leading medical condition woman encounter during pregnancy with serious short- and long-term consequences for maternal morbidity. However, limited evidence was available on potential impacts of gestational diabetes mellitus using updated international diagnostic criteria on adverse maternal outcomes. Therefore, this study aimed to assess the effects of gestational diabetes mellitus on the risk of adverse maternal outcomes in Northwest Ethiopia. Methods A prospective cohort study was conducted among pregnant women followed from pregnancy to delivery. Gestational diabetes mellitus status was determined by using a two-hour 75 g oral glucose tolerance test and based on updated international diagnostic criteria. Multivariable log-binomial model was used to examine the effects of gestational diabetes mellitus on the risk of adverse maternal outcomes. Results A total of 694 women completed the follow-up and included in the analysis. Women with gestational diabetes mellitus had a higher risk of composite adverse maternal outcome (ARR=1.58, 95% CI: 1.22, 2.04), caesarean delivery (ARR=1.67; 95%: 1.15, 2.44), pregnancy induced hypertension (ARR= 3.32; 95%: 1.55, 7.11), premature rupture of membranes (ARR= 1.83; 95%: 1.02, 3.27), antepartum hemorrhage (ARR= 2.10; 95%: 1.11, 3.98) and postpartum hemorrhage (ARR= 4.85; 95%:2.28, 10.30) compared to women without gestational diabetes mellitus. Conclusions Gestational diabetes mellitus increased the risk of adverse maternal outcomes. This implies that maternal care and intervention strategies relating to women with gestational diabetes mellitus should be strengthened.
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Affiliation(s)
- Achenef Asmamaw Muche
- Department of Obstetrics and Gynecology, Pan African University Life and Earth Sciences Institute, College of Medicine, University of Ibadan, Ibadan, Nigeria. .,Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
| | - Oladapo O Olayemi
- Department of Obstetrics and Gynecology, College of Medicine, University College Hospital, University of Ibadan, Ibadan, Nigeria
| | - Yigzaw Kebede Gete
- Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia
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Sanchez-Escobedo S, Azcorra H, Bogin B, Hoogesteijn AL, Sámano R, Varela-Silva MI, Dickinson F. Birth weight, birth order, and age at first solid food introduction influence child growth and body composition in 6- to 8-year-old Maya children: The importance of the first 1000 days of life. Am J Hum Biol 2020; 32:e23385. [PMID: 31994809 DOI: 10.1002/ajhb.23385] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Revised: 12/16/2019] [Accepted: 12/17/2019] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVES To analyze the relationship of birth weight, birth order, breastfeeding duration, and age of introduction of solid foods with height, fat mass, and fat-free mass in a sample of Maya children when aged 6 to 8 years old. METHODS We collected data on anthropometry, body composition, children's birth weight, birth order, early feeding practices, and household socioeconomic characteristics in a sample of 260 Maya children aged 6 to 8 years living in Merida and Motul, two cities in Yucatan, Mexico. Multiple regression models were performed to identify variables associated with height-for-age (HAZ), fat mass index (FMI), and fat-free mass index (FFMI). The predictors included in the models were birth weight (kg), birth order, duration of breastfeeding (months), age at introduction of solid foods (months), maternal age (years), and height (cm). Models were adjusted for the influence of children's age and sex, maternal educational level, and household overcrowding. RESULTS HAZ was positively associated with child birthweight and maternal height and age, but inversely associated with birth order and age of introduction of solid foods. FMI was positively associated with birth weight, maternal age, and height, and negatively associated with birth order. FFMI was positively associated with maternal age and birth weight. CONCLUSIONS These results are evidence of the importance of the first 1000 days of life for the growth and body composition of Maya children and contributed to understand the development of nutritional dual burden in this population.
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Affiliation(s)
- Samantha Sanchez-Escobedo
- Departamento de Ecología Humana, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mérida, Yucatán, Mexico.,Universidad Vizcaya de las Américas, Mérida, Yuc, Mexico
| | - Hugo Azcorra
- Departamento de Ecología Humana, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mérida, Yucatán, Mexico.,Centro de Investigaciones Silvio Zavala, Universidad Modelo, Carretera a Cholul 200 mts periférico norte, Mérida, Yucatán, México
| | - Barry Bogin
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.,UCSD/Salk Center for Academic Research and Training in Anthropogeny (CARTA), Palo Alto, California
| | - Almira L Hoogesteijn
- Departamento de Ecología Humana, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mérida, Yucatán, Mexico
| | - Reyna Sámano
- Departamento de Nutrición y Bioprogramación, Instituto Nacional de Perinatología, Miguel Hidalgo, Ciudad de México, Mexico
| | - Maria I Varela-Silva
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Federico Dickinson
- Departamento de Ecología Humana, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mérida, Yucatán, Mexico
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McMurray F, MacFarlane M, Kim K, Patten DA, Wei-LaPierre L, Fullerton MD, Harper ME. Maternal diet–induced obesity alters muscle mitochondrial function in offspring without changing insulin sensitivity. FASEB J 2019; 33:13515-13526. [DOI: 10.1096/fj.201901150r] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Fiona McMurray
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada
| | - Megan MacFarlane
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Kijoo Kim
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - David A. Patten
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada
| | - Lan Wei-LaPierre
- Department of Pharmacology and Physiology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Morgan D. Fullerton
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Mary-Ellen Harper
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Ottawa Institute of Systems Biology, Ottawa, Ontario, Canada
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10
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Muche AA, Olayemi OO, Gete YK. Prevalence of gestational diabetes mellitus and associated factors among women attending antenatal care at Gondar town public health facilities, Northwest Ethiopia. BMC Pregnancy Childbirth 2019; 19:334. [PMID: 31519151 PMCID: PMC6743162 DOI: 10.1186/s12884-019-2492-3] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 09/05/2019] [Indexed: 12/11/2022] Open
Abstract
Background Globally, Gestational Diabetes Mellitus (GDM) is rising, but it is a neglected health threat to mothers and their children in low resource countries. Although, GDM is known in Ethiopia, information regarding it remains scarce by recent diagnostic criteria. Therefore, this study aimed to determine the prevalence of GDM and associated factors among women attending antenatal care at Gondar town public health facilities, Northwest Ethiopia. Methods A cross-sectional study was conducted among 1027 pregnant women selected by the systematic random sampling technique. The universal one-step screening and diagnostic strategy was done using a two-hour 75 g oral glucose tolerance test. GDM was diagnosed using updated diagnostic criteria (2017 American Diabetes Association (ADA) or 2013 World Health Organization (WHO) or modified International Association of the Diabetes and Pregnancy Study Groups diagnostic criteria (IADPSG)). Binary logistic regression model was used to identify factors associated with GDM. Results Of the total 1027 pregnant women, 12.8% (95% CI: 10.8–14.8) were diagnosed with GDM. Overweight and/or obesity (MUAC ≥28 cm) (AOR = 2.25, 95% CI: 1.18–4.26), previous history of GDM (AOR = 5.82, 95% CI: 2.57–13.18), family history of diabetes (AOR = 4.03, 95% CI: 1.57–10.35), low physical activity (AOR = 3.36, 95% CI: 1.60–7.04), inadequate dietary diversity (AOR = 1.9, 95% CI: 1.02–3.53), and antenatal depression (AOR = 4.12, 95% CI: 1.85–9.20) were significantly associated with GDM. Conclusions The prevalence of GDM among women attending antenatal care at Gondar town public health facilities was high. Previous history of GDM, antenatal depression, family history of diabetes, low physical activity, overweight and/or obesity and inadequate dietary diversity were significantly associated with GDM. Routine screening of pregnant women and healthy lifestyle are strongly recommended.
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Affiliation(s)
- Achenef Asmamaw Muche
- Pan African University Life and Earth Sciences Institute (including health and agriculture), Department of Obstetrics and Gynaecology, College of Medicine, University of Ibadan, Ibadan, Nigeria. .,Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
| | - Oladapo O Olayemi
- Department of Obstetrics and Gynaecology, College of Medicine, University College Hospital, University of Ibadan, Ibadan, Nigeria
| | - Yigzaw Kebede Gete
- Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia
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11
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Msollo SS, Martin HD, Mwanri AW, Petrucka P. Prevalence of hyperglycemia in pregnancy and influence of body fat on development of hyperglycemia in pregnancy among pregnant women in urban areas of Arusha region, Tanzania. BMC Pregnancy Childbirth 2019; 19:315. [PMID: 31455272 PMCID: PMC6712730 DOI: 10.1186/s12884-019-2463-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 08/19/2019] [Indexed: 12/16/2022] Open
Abstract
Background Hyperglycemia in pregnancy is a medical condition resulting from either pre-existing diabetes or insulin resistance developed during pregnancy. This study aimed to determine the prevalence of hyperglycemia in pregnancy and influence of body fat percentage and other determinants on developing hyperglycemia in pregnancy among women in Arusha District, Tanzania. Methods A cross–sectional study was conducted between March and December 2018 at selected health facilities in Arusha District involving 468 pregnant women who were not known to have diabetes before pregnancy. Blood glucose was tested by Gluco-Plus™ using the World Health Organization criteria at fasting and 2 h after consuming 75 g of glucose dissolved in 300 ml of water. Body fat was measured using a bioelectric impedance analyzer, mid-upper arm circumference using a regulated tape, weight using SECA™, blood pressure using a GT-868UF Geratherm™ machine, and height using a stadiometer. Demographic and maternal characteristics were collected through face to face interviews using a structured questionnaire. Results The participants’ mean age was 28 years (SD ± 6), mid-upper arm circumference 27 cm (SD ± 3.7), body fat 33.72% (SD ± 7.2) and pre-pregnancy body mass index 25.6 kg/m2 (SD ± 5.5). One-third of participants had mid-upper arm circumferences ≥28 cm with 25% being overweight and 22.7% obese before pregnancy. Prevalence of hyperglycemia in pregnancy was 16.2% (n = 76) of which 13% had gestational diabetes and 3.2% diabetes in pregnancy. Hyperglycemia in pregnancy was significantly associated with body fat percentage (AOR 1.33; 95% CI: 1.22–1.44), family history of Type 2 diabetes mellitus (AOR 6.95, 95% CI: 3.11–15.55), previous delivery of babies ≥4 kg (AOR 2.3, 95% CI: 1.00–5.28), mid-upper arm circumference ≥ 28 cm (AOR 1.2, 95% CI: 1.09–1.32), and Type 2 diabetes mellitus symptoms (AOR 2.83, 95% CI: 1.53–6.92). Conclusion The prevalence of hyperglycemia in pregnancy was high, particularly among women with history of delivering ≥4-kg babies, increased body fat, mid-upper arm circumference, symptoms and/or family history of Type 2 diabetes mellitus. These findings identify opportunities to further explore the utility of body fat percentage and other determinants for rapid screening and management of hyperglycemia in pregnancy.
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Affiliation(s)
- Safiness Simon Msollo
- Department of Food Biotechnology and Nutritional Sciences in School of Life Sciences, Nelson Mandela African Institution of Science and Technology, P. O. Box 477, Arusha, Tanzania. .,Department of Food Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania.
| | - Haikael David Martin
- Department of Food Biotechnology and Nutritional Sciences in School of Life Sciences, Nelson Mandela African Institution of Science and Technology, P. O. Box 477, Arusha, Tanzania
| | - Akwilina Wendelin Mwanri
- Department of Food Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Pammla Petrucka
- College of Nursing, University of Saskatchewan, Saskatoon, Canada
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12
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Larqué E, Labayen I, Flodmark CE, Lissau I, Czernin S, Moreno LA, Pietrobelli A, Widhalm K. From conception to infancy - early risk factors for childhood obesity. Nat Rev Endocrinol 2019; 15:456-478. [PMID: 31270440 DOI: 10.1038/s41574-019-0219-1] [Citation(s) in RCA: 107] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/10/2019] [Indexed: 12/25/2022]
Abstract
Maternal lifestyle during pregnancy, as well as early nutrition and the environment infants are raised in, are considered relevant factors for the prevention of childhood obesity. Several models are available for the prediction of childhood overweight and obesity, yet most have not been externally validated. Moreover, the factors considered in the models differ among studies as the outcomes manifest after birth and depend on maturation processes that vary between individuals. The current Review examines and interprets data on the early determinants of childhood obesity to provide relevant strategies for daily clinical work. We evaluate a selection of prenatal and postnatal factors associated with child adiposity. Actions to be considered for preventing childhood obesity include the promotion of healthy maternal nutrition and weight status at reproductive age and during pregnancy, as well as careful monitoring of infant growth to detect early excessive weight gain. Paediatricians and other health-care professionals should provide scientifically validated, individual nutritional advice to families to counteract excessive adiposity in children. Based on systematic reviews, original papers and scientific reports, we provide information to help with setting up public health strategies to prevent overweight and obesity in childhood.
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Affiliation(s)
- Elvira Larqué
- Department of Physiology, University of Murcia, Murcia, Spain
| | - Idoia Labayen
- Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD) and Department of Health Sciences, Public University of Navarra, Pamplona, Spain
| | - Carl-Erik Flodmark
- Childhood Obesity Unit, Department of Pediatrics, Skane University Hospital, Malmo, Sweden
- Department of Clinical Sciences, Faculty of Medicine, University of Lund, Lund, Sweden
| | - Inge Lissau
- Childhood Obesity Unit, Department of Pediatrics, Skane University Hospital, Malmo, Sweden
- Department of Clinical Sciences, Faculty of Medicine, University of Lund, Lund, Sweden
- Clinical Research Centre, University Hospital Copenhagen, Hvidovre, Denmark
| | - Sarah Czernin
- Deptartment of Pediatrics, Division of Nutrition and Metabolism and Austrian Academic institute for Clinical Nutrition, Vienna, Austria
| | - Luis A Moreno
- Growth, Exercise, Nutrition and Development Research Group, Universidad de Zaragoza, Zaragoza, Spain.
- Instituto Agroalimentario de Aragón (IA2) and Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
| | - Angelo Pietrobelli
- Department of Surgical Sciences, Dentistry, Gynecology and Pediatrics, University of Verona, Verona, Italy
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Kurt Widhalm
- Deptartment of Pediatrics, Division of Nutrition and Metabolism and Austrian Academic institute for Clinical Nutrition, Vienna, Austria
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13
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Draycott SAV, Liu G, Daniel ZC, Elmes MJ, Muhlhausler BS, Langley-Evans SC. Maternal dietary ratio of linoleic acid to alpha-linolenic acid during pregnancy has sex-specific effects on placental and fetal weights in the rat. Nutr Metab (Lond) 2019; 16:1. [PMID: 30622622 PMCID: PMC6318840 DOI: 10.1186/s12986-018-0330-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 12/20/2018] [Indexed: 01/30/2023] Open
Abstract
Background Increased consumption of linoleic acid (LA, omega-6) in Western diets coupled with the pro-inflammatory and adipogenic properties of its derivatives has led to suggestions that fetal exposure to this dietary pattern could be contributing to the intergenerational cycle of obesity. Method This study aimed to evaluate the effects of maternal consumption of a LA to alpha-linolenic acid (ALA) ratio similar to modern Western diets (9:1) compared to a lower ratio (1:1.5) on placental and fetal growth, and to determine any cumulative effects by feeding both diets at two total fat levels (18% vs 36% fat w/w). Female Wistar rats (n = 5–7/group) were assigned to one of the four experimental diets prior to mating until 20d of gestation. Results Fatty acid profiles of maternal and fetal blood and placental tissue at 20d gestation were different between dietary groups, and largely reflected dietary fatty acid composition. Female fetuses were heavier (2.98 ± 0.06 g vs 3.36 ± 0.07 g, P < 0.01) and male placental weight was increased (0.51 ± 0.02 g vs 0.58 ± 0.02 g, P < 0.05) in the low LA:ALA groups. Female fetuses of dams exposed to a 36% fat diet had a reduced relative liver weight irrespective of LA:ALA ratio (7.61 ± 0.22% vs 6.93 ± 0.19%, P < 0.05). These effects occurred in the absence of any effect of the dietary treatments on maternal bodyweight, fat deposition or expression of key lipogenic genes in maternal and fetal liver or maternal adipose tissue. Conclusion These findings suggest that both the total fat content as well as the LA:ALA ratio of the maternal diet have sex-specific implications for the growth of the developing fetus.
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Affiliation(s)
- Sally A V Draycott
- 1Food and Nutrition Research Group, Department of Food and Wine Science, School of Agriculture Food and Wine, University of Adelaide, Adelaide, Australia.,2School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, UK
| | - Ge Liu
- 1Food and Nutrition Research Group, Department of Food and Wine Science, School of Agriculture Food and Wine, University of Adelaide, Adelaide, Australia.,3Healthy Mothers, Babies and Children's Theme, South Australian Health and Medical Research Institute, North Terrace, Adelaide, 5001 Australia
| | - Zoe C Daniel
- 2School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, UK
| | - Matthew J Elmes
- 2School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, UK
| | - Beverly S Muhlhausler
- 1Food and Nutrition Research Group, Department of Food and Wine Science, School of Agriculture Food and Wine, University of Adelaide, Adelaide, Australia
| | - Simon C Langley-Evans
- 2School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, UK
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14
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Tam CHT, Ma RCW, Yuen LY, Ozaki R, Li AM, Hou Y, Chan MHM, Ho CS, Yang X, Chan JCN, Tam WH. The impact of maternal gestational weight gain on cardiometabolic risk factors in children. Diabetologia 2018; 61:2539-2548. [PMID: 30225524 PMCID: PMC6223878 DOI: 10.1007/s00125-018-4724-x] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 07/30/2018] [Indexed: 12/24/2022]
Abstract
AIMS/HYPOTHESIS Accumulating evidence suggests an impact of gestational weight gain (GWG) on pregnancy outcomes; however, data on cardiometabolic risk factors later in life have not been comprehensively studied. This study aimed to evaluate the relationship between GWG and cardiometabolic risk in offspring aged 7 years. METHODS We included a total of 905 mother-child pairs who enrolled in the follow-up visit of the multicentre Hyperglycemia and Adverse Pregnancy Outcome study, at the Hong Kong Centre. Women were classified as having gained weight below, within or exceeding the 2009 Institute of Medicine (IOM) guidelines. A standardised GWG according to pre-pregnancy BMI categories was calculated to explore for any quadratic relationship. RESULTS Independent of pre-pregnancy BMI, gestational hyperglycaemia and other confounders, women who gained more weight than the IOM recommendations had offspring with a larger body size and increased odds of adiposity, hypertension and insulin resistance (range of p values of all the traits: 4.6 × 10-9 < p < 0.0390) than women who were within the recommended range of weight gain during pregnancy. Meanwhile, women who gained less weight than outlined in the recommendations had offspring with increased risks of hypertension and insulin resistance, compared with those who gained weight within the recommended range (7.9 × 10-3 < p < 0.0477). Quadratic relationships for diastolic blood pressure, AUC for insulin, pancreatic beta cell function and insulin sensitivity index were confirmed in the analysis of standardised GWG (1.4 × 10-3 < pquadratic < 0.0282). Further adjustment for current BMI noticeably attenuated the observed associations. CONCLUSIONS/INTERPRETATION Both excessive and inadequate GWG have independent and significant impacts on childhood adiposity, hypertension and insulin resistance. Our findings support the notion that adverse intrauterine exposures are associated with persistent cardiometabolic risk in the offspring.
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Affiliation(s)
- Claudia H T Tam
- 9/F, Lui Che Woo Clinical Science Building, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong Special Administrative Region, Hong Kong
| | - Ronald C W Ma
- 9/F, Lui Che Woo Clinical Science Building, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong Special Administrative Region, Hong Kong.
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, Hong Kong.
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, Hong Kong.
| | - Lai Yuk Yuen
- 1/F, Special Block (Block E), Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong Special Administrative Region, Hong Kong
| | - Risa Ozaki
- 9/F, Lui Che Woo Clinical Science Building, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong Special Administrative Region, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, Hong Kong
| | - Albert Martin Li
- Department of Paediatrics, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, Hong Kong
| | - Yong Hou
- 9/F, Lui Che Woo Clinical Science Building, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong Special Administrative Region, Hong Kong
| | - Michael H M Chan
- Department of Chemical Pathology, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, Hong Kong
| | - Chung Shun Ho
- Department of Chemical Pathology, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, Hong Kong
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juliana C N Chan
- 9/F, Lui Che Woo Clinical Science Building, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong Special Administrative Region, Hong Kong
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, Hong Kong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, Hong Kong
| | - Wing Hung Tam
- 1/F, Special Block (Block E), Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong Special Administrative Region, Hong Kong.
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15
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Falcão-Tebas F, Kuang J, Arceri C, Kerris JP, Andrikopoulos S, Marin EC, McConell GK. Four weeks of exercise early in life reprograms adult skeletal muscle insulin resistance caused by a paternal high-fat diet. J Physiol 2018; 597:121-136. [PMID: 30406963 DOI: 10.1113/jp276386] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Accepted: 10/05/2018] [Indexed: 12/19/2022] Open
Abstract
KEY POINTS A paternal high-fat diet/obesity before mating can negatively influence the metabolism of offspring. Exercise only early in life has a remarkable effect with respect to reprogramming adult rat offspring exposed to detrimental insults before conception. Exercise only early in life normalized adult whole body and muscle insulin resistance as a result of having a high-fat fed/obese father. Unlike the effects on the muscle, early exercise did not normalize the reduced adult pancreatic beta cell mass as a result of having a high-fat fed/obese father. Early-life exercise training may be able to reprogram an individual whose father was obese, inducing long-lasting beneficial effects on health. ABSTRACT A paternal high-fat diet (HFD) impairs female rat offspring glucose tolerance, pancreatic morphology and insulin secretion. We examined whether only 4 weeks of exercise early in life could reprogram these negative effects. Male Sprague-Dawley rats consumed a HFD for 10 weeks before mating with chow-fed dams. Female offspring remained sedentary or performed moderate intensity treadmill exercise (5 days week-1 , 60 min day-1 , 20 m min-1 ) from 5 to 9 weeks of age. Paternal HFD impaired (P < 0.05) adult offspring whole body insulin sensitivity (i.p. insulin sensitivity test), as well as skeletal muscle ex vivo insulin sensitivity and TBC1D4 phosphorylation. It also lowered β-cell mass and reduced in vivo insulin secretion in response to an i.p. glucose tolerance test. Early-life exercise in offspring reprogrammed the negative effects of a paternal HFD on whole body insulin sensitivity, skeletal muscle ex vivo insulin-stimulated glucose uptake and TBC1D4 phosphorylation and also increased glucose transporter 4 protein. However, early exercise did not normalize the reduced pancreatic β-cell mass or insulin secretion. In conclusion, only 4 weeks of exercise early in life in female rat offspring reprograms reductions in insulin sensitivity in adulthood caused by a paternal HFD without affecting pancreatic β-cell mass or insulin secretion.
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Affiliation(s)
- Filippe Falcão-Tebas
- Institute for Health and Sport (IHES), Victoria University, Melbourne, VIC, Australia.,The Ritchie Centre, Hudson Institute of Medical Research and Department of Obstetrics and Gynaecology, Monash University, Melbourne, VIC, Australia
| | - Jujiao Kuang
- Institute for Health and Sport (IHES), Victoria University, Melbourne, VIC, Australia
| | - Chelsea Arceri
- Institute for Health and Sport (IHES), Victoria University, Melbourne, VIC, Australia
| | - Jarrod P Kerris
- Institute for Health and Sport (IHES), Victoria University, Melbourne, VIC, Australia
| | - Sofianos Andrikopoulos
- Department of Medicine, Austin Hospital, The University of Melbourne, Melbourne, VIC, Australia
| | - Evelyn C Marin
- Institute for Health and Sport (IHES), Victoria University, Melbourne, VIC, Australia.,Department of Medicine, Austin Hospital, The University of Melbourne, Melbourne, VIC, Australia
| | - Glenn K McConell
- Institute for Health and Sport (IHES), Victoria University, Melbourne, VIC, Australia.,College of Health and Biomedicine, Victoria University, Melbourne, VIC, Australia
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16
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Nombo AP, Mwanri AW, Brouwer-Brolsma EM, Ramaiya KL, Feskens EJM. Gestational diabetes mellitus risk score: A practical tool to predict gestational diabetes mellitus risk in Tanzania. Diabetes Res Clin Pract 2018; 145:130-137. [PMID: 29852237 DOI: 10.1016/j.diabres.2018.05.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 05/04/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND Universal screening for hyperglycemia during pregnancy may be in-practical in resource constrained countries. Therefore, the aim of this study was to develop a simple, non-invasive practical tool to predict undiagnosed Gestational diabetes mellitus (GDM) in Tanzania. METHODS We used cross-sectional data of 609 pregnant women, without known diabetes, collected in six health facilities from Dar es Salaam city (urban). Women underwent screening for GDM during ante-natal clinics visit. Smoking habit, alcohol consumption, pre-existing hypertension, birth weight of the previous child, high parity, gravida, previous caesarean section, age, MUAC ≥ 28 cm, previous stillbirth, haemoglobin level, gestational age (weeks), family history of type 2 diabetes, intake of sweetened drinks (soda), physical activity, vegetables and fruits consumption were considered as important predictors for GDM. Multivariate logistic regression modelling was used to create the prediction model, using a cut-off value of 2.5 to minimise the number of undiagnosed GDM (false negatives). RESULTS Mid-upper arm circumference (MUAC) ≥ 28 cm, previous stillbirth, and family history of type 2 diabetes were identified as significant risk factors of GDM with a sensitivity, specificity, positive predictive value, and negative predictive value of 69%, 53%, 12% and 95%, respectively. Moreover, the inclusion of these three predictors resulted in an area under the curve (AUC) of 0.64 (0.56-0.72), indicating that the current tool correctly classifies 64% of high risk individuals. CONCLUSION The findings of this study indicate that MUAC, previous stillbirth, and family history of type 2 diabetes significantly predict GDM development in this Tanzanian population. However, the developed non-invasive practical tool to predict undiagnosed GDM only identified 6 out of 10 individuals at risk of developing GDM. Thus, further development of the tool is warranted, for instance by testing the impact of other known risk factors such as maternal age, pre-pregnancy BMI, hypertension during or before pregnancy and pregnancy weight gain.
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Affiliation(s)
- Anna Patrick Nombo
- Sokoine University of Agriculture, Department of Food Technology, Nutrition and Consumer Sciences, P.O. Box 3006, Morogoro, Tanzania
| | - Akwilina Wendelin Mwanri
- Sokoine University of Agriculture, Department of Food Technology, Nutrition and Consumer Sciences, P.O. Box 3006, Morogoro, Tanzania.
| | - Elske M Brouwer-Brolsma
- Wageningen University and Research Centre, Division of Human Nutrition, Wageningen, The Netherlands
| | | | - Edith J M Feskens
- Wageningen University and Research Centre, Division of Human Nutrition, P.O. Box 17, 6700AA Wageningen, The Netherlands
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17
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Shankar K, Pivik RT, Johnson SL, van Ommen B, Demmer E, Murray R. Environmental Forces that Shape Early Development: What We Know and Still Need to Know. Curr Dev Nutr 2018; 2:nzx002. [PMID: 30167570 PMCID: PMC6111237 DOI: 10.3945/cdn.117.001826] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 09/18/2017] [Accepted: 11/15/2017] [Indexed: 01/22/2023] Open
Abstract
Understanding health requires more than knowledge of the genome. Environmental factors regulate gene function through epigenetics. Collectively, environmental exposures have been called the "exposome." Caregivers are instrumental in shaping exposures in a child's initial years. Maternal dietary patterns, physical activity, degree of weight gain, and body composition while pregnant will influence not only fetal growth, but also the infant's metabolic response to nutrients and energy. Maternal over- or underweight, excess caloric intake, nutrient imbalances, glucose dysregulation, and presence of chronic inflammatory states have been shown to establish risk for many later chronic diseases. During the period from birth to age 3 y, when the infant's metabolic rate is high and synaptogenesis and myelination of the brain are occurring extremely rapidly, the infant is especially prone to damaging effects from nutrient imbalances. During this period, the infant changes from a purely milk-based diet to one including a wide variety of foods. The process, timing, quality, and ultimate dietary pattern acquired are a direct outcome of the caregiver-infant feeding relationship, with potentially lifelong consequences. More research on how meal time interactions shape food acceptance is needed to avoid eating patterns that augment existing disease risk. Traditional clinical trials in nutrition, meant to isolate single factors for study, are inadequate to study the highly interconnected realm of environment-gene interactions in early life. Novel technologies are being used to gather broad exposure data on disparate populations, employing pioneering statistical approaches and correlations applied specifically to the individual, based on their genetic make-up and unique environmental experiences.
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Affiliation(s)
- Kartik Shankar
- Arkansas Children's Nutrition Research Center and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR
| | - R T Pivik
- Arkansas Children's Nutrition Research Center and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Susan L Johnson
- Department of Pediatrics, Section of Nutrition, University of Colorado, Anschutz Medical Campus, Aurora, CO
| | - Ben van Ommen
- Netherlands Organization of Applied Scientifc Research (TNO), Zeist, Netherlands
| | | | - Robert Murray
- Department of Human Nutrition, Ohio State University, Columbus, OH
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18
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Abstract
PURPOSE OF REVIEW As the ongoing epidemic of adult and childhood obesity grows, it puts a greater burden on individuals and the healthcare system due to increased prevalence of obesity-associated diseases. An important area that has gained much attention recently is the sex and gender difference related to obesity and associated complications. Basic science and clinical studies have now improved our understanding of obesity and have discovered adipose tissue biology to be key in metabolism. RECENT FINDINGS There is evidence related to the sex dichotomy in obesity in a variety of areas including adipocyte function, sex hormone effects, genetics, and metabolic inflammation leading to critical differences in adipose tissue biology. The sex and gender difference in adipose tissue is a factor that should be considered when studying an individuals' risk for obesity and metabolic dysfunction. This understanding is important for strategizing treatment and prevention measures.
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Affiliation(s)
- Eric Chang
- Pediatric Endocrinology, University of Michigan Medical School, Medical Professional Building, D1205 1500 E. Medical Center Drive, Ann Arbor, MI, 48109-5718, USA
| | - Mita Varghese
- Pediatric Endocrinology, University of Michigan Medical School, Medical Professional Building, D1205 1500 E. Medical Center Drive, Ann Arbor, MI, 48109-5718, USA
| | - Kanakadurga Singer
- Pediatric Endocrinology, University of Michigan Medical School, Medical Professional Building, D1205 1500 E. Medical Center Drive, Ann Arbor, MI, 48109-5718, USA.
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19
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Ladyman SR, Carter KM, Grattan DR. Energy homeostasis and running wheel activity during pregnancy in the mouse. Physiol Behav 2018; 194:83-94. [PMID: 29738792 DOI: 10.1016/j.physbeh.2018.05.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 04/13/2018] [Accepted: 05/04/2018] [Indexed: 01/08/2023]
Abstract
Pregnancy and lactation are metabolically challenging states, where the mother must supply all the energy requirements for the developing fetus and growing pups respectively. The aim of the current study was to characterize many aspects of energy homeostasis before and during pregnancy in the mouse, and to examine the role of voluntary activity on changes in energy expenditure during pregnancy. In a secondary aim, we evaluate measures of energy homeostasis during pregnancy in mice that successfully reared their litter or in mice that went on to abandon their litter, to determine if an impairment in pregnancy-induced adaptation of energy homeostasis might underlie the abandonment of pups soon after birth. During pregnancy, food intake was increased, characterized by increased meal size and duration but not number of meals per day. The duration of time spent inactive, predicted to indicate sleep behaviour, was increased both early and late in pregnancy compared to pre-pregnancy levels. Increased x + y beam breaks, as a measure of activity increased during pregnancy and this reflected an increase in ambulatory behaviour in mid pregnancy and an increase in non-ambulatory movement in late pregnancy. Energy expenditure, as measured by indirect calorimetry, increased across pregnancy, likely due to the growth and development of fetal tissue. There was also a dramatic reduction in voluntary wheel running as soon as the mice became pregnant. Compared with successful pregnancies and lactations, pregnancies where pups were abandoned soon after birth were associated with reduced body weight gain and an increase in running wheel activity at the end of pregnancy, but no difference in food intake or energy expenditure. Overall, during pregnancy there are multiple adaptations to change energy homeostasis, resulting in partitioning of provisions of energy to the developing fetus and storing energy for future metabolic demands.
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Affiliation(s)
- S R Ladyman
- Centre for Neuroendocrinology, Department of Anatomy School of Biomedical Sciences, University of Otago, Dunedin, New Zealand.
| | - K M Carter
- Centre for Neuroendocrinology, Department of Anatomy School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - D R Grattan
- Centre for Neuroendocrinology, Department of Anatomy School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
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20
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Sanders TR, Glendining KA, Jasoni CL. Obesity during pregnancy in the mouse alters the Netrin-1 responsiveness of foetal arcuate nucleus neuropeptide Y neurones. J Neuroendocrinol 2017; 29. [PMID: 29121420 DOI: 10.1111/jne.12556] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Revised: 10/16/2017] [Accepted: 11/03/2017] [Indexed: 12/26/2022]
Abstract
When individuals undergo gestation in an obese dam, they are at increased risk for impairments in the ability of the brain to regulate body weight. In rodents, gestation in an obese dam leads to a number of changes to the development of the hypothalamic neurones that regulate body weight, including reduced neuronal connectivity at birth. In the present study, we aimed to clarify how this neural circuitry develops normally, as well as to explore the mechanism underpinning the deficiency in connectivity seen in foetuses developing in obese dams. First, we developed an in vitro model for observing and manipulating the axonal growth of foetal arcuate nucleus (ARN) neuropeptide (NPY) neurones. We then used this model to test 2 hypotheses: (i) ARN NPY neurones respond to Netrin-1, one of a small number of axon growth and guidance factors that regulate neural circuit formation throughout the developing brain; and (ii) Netrin-1 responsiveness would be lost upon exposure to the inflammatory cytokine interleukin (IL)-6, which is elevated in foetuses developing in obese dams. We observed that ARN NPY neurones responded to Netrin-1 with a significant expansion of their growth cones, comprising the terminal apparatus that neurones use to navigate. Unexpectedly, we found further that NPY neurones from obese pregnancies had a reduced responsiveness to Netrin-1, raising the possibility that ARN NPY neurones from foetuses developing in obese dams were phenotypically different from normal NPY neurones. Finally, we observed that IL-6 treatment of normal NPY neurones in vitro led to a reduced growth cone responsiveness to Netrin-1, essentially causing them to behave similarly to NPY neurones from obese pregnancies. These results support the hypothesis that IL-6 can disrupt the normal process of axon growth from NPY neurones, and suggest one possible mechanism for how the body weight regulating circuitry fails to develop properly in the offspring of obese dams.
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Affiliation(s)
- T R Sanders
- Department of Anatomy, Centre for Neuroendocrinology, University of Otago School of Medical Sciences, Dunedin, New Zealand
| | - K A Glendining
- Department of Anatomy, Centre for Neuroendocrinology, University of Otago School of Medical Sciences, Dunedin, New Zealand
| | - C L Jasoni
- Department of Anatomy, Centre for Neuroendocrinology, University of Otago School of Medical Sciences, Dunedin, New Zealand
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Maternal pre-pregnancy BMI and offspring body composition in young adulthood: the modifying role of offspring sex and birth order. Public Health Nutr 2017; 20:3084-3089. [PMID: 28851474 DOI: 10.1017/s1368980017002191] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To investigate if the association between maternal pre-pregnancy BMI and offspring's body composition in late adolescence and young adulthood varies by offspring birth order and sex. DESIGN Family cohort study, with data from registers, questionnaires and physical examinations. The main outcome under study was offspring body composition (percentage fat mass (%FM), percentage lean mass (%LM)) measured by dual-energy X-ray absorptiometry. SETTING Uppsala, Sweden. SUBJECTS Two hundred and twenty-six siblings (first-born v. second-born; average age 19 and 21 years) and their mothers. RESULTS In multivariable linear regression models, maternal pre-pregnancy BMI was positively associated with daughter's %FM, with stronger estimates for first-born (β=0·97, 95 % CI 0·14, 1·80) v. second-born daughters (β=0·64, 95 % CI 0·08, 1·20). Mother's BMI before her first pregnancy was associated with her second-born daughter's body composition (β=1·05, 95 % CI 0·31, 1·79 (%FM)) Similar results albeit in the opposite direction were observed for %LM. No significant associations were found between pre-pregnancy BMI and %FM (β=0·59, 95 % CI-0·27, 1·44 first-born; β=-0·13, 95 % CI-0·77, 0·52 second-born) or %LM (β=-0·54, 95 % CI-1·37, 0·28 first-born; β=0·11, 95 % CI-0·52, 0·74 second-born) for sons. CONCLUSIONS A higher pre-pregnancy BMI was associated with higher offspring %FM and lower offspring %LM in late adolescence and young adulthood, with stronger associations for first-born daughters. Preventing obesity at the start of women's reproductive life might reduce the risk of obesity in her offspring, particularly for daughters.
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Calabuig-Navarro V, Haghiac M, Minium J, Glazebrook P, Ranasinghe GC, Hoppel C, Hauguel de-Mouzon S, Catalano P, O’Tierney-Ginn P. Effect of Maternal Obesity on Placental Lipid Metabolism. Endocrinology 2017; 158:2543-2555. [PMID: 28541534 PMCID: PMC5551552 DOI: 10.1210/en.2017-00152] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 05/17/2017] [Indexed: 02/06/2023]
Abstract
Obese women, on average, give birth to babies with high fat mass. Placental lipid metabolism alters fetal lipid delivery, potentially moderating neonatal adiposity, yet how it is affected by maternal obesity is poorly understood. We hypothesized that fatty acid (FA) accumulation (esterification) is higher and FA β-oxidation (FAO) is lower in placentas from obese, compared with lean women. We assessed acylcarnitine profiles (lipid oxidation intermediates) in mother-baby-placenta triads, in addition to lipid content, and messenger RNA (mRNA)/protein expression of key regulators of FA metabolism pathways in placentas of lean and obese women with normal glucose tolerance recruited at scheduled term Cesarean delivery. In isolated trophoblasts, we measured [3H]-palmitate metabolism. Placentas of obese women had 17.5% (95% confidence interval: 6.1, 28.7%) more lipid than placentas of lean women, and higher mRNA and protein expression of FA esterification regulators (e.g., peroxisome proliferator-activated receptor γ, acetyl-CoA carboxylase, steroyl-CoA desaturase 1, and diacylglycerol O-acyltransferase-1). [3H]-palmitate esterification rates were increased in trophoblasts from obese compared with lean women. Placentas of obese women had fewer mitochondria and a lower concentration of acylcarnitines, suggesting a decrease in mitochondrial FAO capacity. Conversely, peroxisomal FAO was greater in placentas of obese women. Altogether, these changes in placental lipid metabolism may serve to limit the amount of maternal lipid transferred to the fetus, restraining excess fetal adiposity in this population of glucose-tolerant women.
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Affiliation(s)
- Virtu Calabuig-Navarro
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, Ohio 44109
- Center for Reproductive Biology, Case Western Reserve University, Cleveland, Ohio 44106
| | - Maricela Haghiac
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, Ohio 44109
| | - Judi Minium
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, Ohio 44109
| | - Patricia Glazebrook
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, Ohio 44109
| | | | - Charles Hoppel
- Center for Mitochondrial Diseases, Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106
| | | | - Patrick Catalano
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, Ohio 44109
- Center for Reproductive Biology, Case Western Reserve University, Cleveland, Ohio 44106
| | - Perrie O’Tierney-Ginn
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, Ohio 44109
- Center for Reproductive Biology, Case Western Reserve University, Cleveland, Ohio 44106
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Associations of maternal obesity and excessive weight gain during pregnancy with subcutaneous fat mass in infancy. Early Hum Dev 2017; 108:23-28. [PMID: 28364636 PMCID: PMC5439515 DOI: 10.1016/j.earlhumdev.2017.03.006] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Revised: 03/10/2017] [Accepted: 03/14/2017] [Indexed: 11/24/2022]
Abstract
BACKGROUND Not much is known about the associations of maternal obesity and excessive gestational weight gain with body fat in infancy. OBJECTIVE To examine the associations of maternal pre-pregnancy body mass index and gestational weight gain with infant subcutaneous fat. METHODS In a population-based prospective cohort study among 845 mothers and their infants, we obtained maternal pre-pregnancy body mass index and measured maternal weight during pregnancy. At 1.5, 6 and 24months, we estimated infant total subcutaneous fat (sum of biceps, triceps, suprailiacal and subscapular skinfold thicknesses) and central-to-total subcutaneous fat ratio (sum of suprailiacal and subscapular skinfold thicknesses/total subcutaneous fat). RESULTS Maternal body mass index was positively associated with higher infant body mass index from 6months onwards. Maternal body mass index was not associated with infant subcutaneous fat measures at 1.5 or 6months. A 1-standard deviation scores (SDS) higher maternal body mass index was associated with a 0.09 (95% Confidence Interval 0.01, 0.17) SDS higher infant total subcutaneous fat at 24months, but not with central-to-total subcutaneous fat ratio. No associations were present for maternal total or period-specific gestational weight gain with infant fat. CONCLUSION Maternal body mass index was positively associated with infant body mass index and total subcutaneous fat in late infancy. Maternal total and period-specific gestational weight gain were not associated with infant body fat mass measures.
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Review on intrauterine programming: Consequences in rodent models of mild diabetes and mild fat overfeeding are not mild. Placenta 2017; 52:21-32. [DOI: 10.1016/j.placenta.2017.02.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 02/06/2017] [Accepted: 02/09/2017] [Indexed: 02/08/2023]
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Wankhade UD, Thakali KM, Shankar K. Persistent influence of maternal obesity on offspring health: Mechanisms from animal models and clinical studies. Mol Cell Endocrinol 2016; 435:7-19. [PMID: 27392497 DOI: 10.1016/j.mce.2016.07.001] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Revised: 06/30/2016] [Accepted: 07/01/2016] [Indexed: 02/07/2023]
Abstract
The consequences of excessive maternal weight and adiposity at conception for the offspring are now well recognized. Maternal obesity increases the risk of overweight and obesity even in children born with appropriate-for-gestational age (AGA) birth weights. Studies in animal models have employed both caloric excess and manipulation of macronutrients (especially high-fat) to mimic hypercaloric intake present in obesity. Findings from these studies show transmission of susceptibility to obesity, metabolic dysfunction, alterations in glucose homeostasis, hepatic steatosis, skeletal muscle metabolism and neuroendocrine changes in the offspring. This review summarizes the essential literature in this area in both experimental and clinical domains and focuses on the translatable aspects of these experimental studies. Moreover this review highlights emerging mechanisms broadly explaining maternal obesity-associated developmental programming. The roles of early developmental alterations and placental adaptations are also reviewed. Increasing evidence also points to changes in the epigenome and other emerging mechanisms such as alterations in the microbiome that may contribute to persistent changes in the offspring. Finally, we examine potential interventions that have been employed in clinical cohorts.
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Affiliation(s)
- Umesh D Wankhade
- Arkansas Children's Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Keshari M Thakali
- Arkansas Children's Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Kartik Shankar
- Arkansas Children's Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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Azcorra H, Dickinson F, Datta Banik S. Maternal height and its relationship to offspring birth weight and adiposity in 6- to 10-year-old Maya children from poor neighborhoods in Merida, Yucatan. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2016; 161:571-579. [PMID: 27465976 DOI: 10.1002/ajpa.23057] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 07/07/2016] [Accepted: 07/11/2016] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To analyze the relationship between maternal height, offspring birth weight, and adiposity at 6-10 years of age in a sample of 197 mother-child dyads from Merida, Mexico. MATERIALS AND METHODS During 2008-2009 and 2011-2013, measurements were taken of maternal height and weight; and height, waist circumference (WC), and skinfolds (triceps, subscapular, and suprailiac) of their children. Participant body composition was estimated using a bioelectrical impedance analyzer. A questionnaire was applied to document household socioeconomic conditions. Multiple linear regression models were used to study the association between maternal height, offspring birth weight and fat mass index (FMI), WC, and sum of skinfolds (SumSkfZ) in boys and girls, separately. RESULTS After adjusting for child age and household socioeconomic conditions, maternal height was identified to be significantly associated (p < .05) with FMI, WC, and SumSkf only in boys. In all models, child adiposity was inversely related to maternal height. Offspring birth weight was not associated with any adiposity parameter. DISCUSSION The results suggest that maternal nutritional history as reflected in short maternal stature is associated with higher body fat in children, and that male offspring are more vulnerable to intergenerational influences.
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Affiliation(s)
- Hugo Azcorra
- Department of Human Ecology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Antigua Carretera a Progreso Km. 6, Merida, Yucatan, 97310, Mexico
| | - Federico Dickinson
- Department of Human Ecology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Antigua Carretera a Progreso Km. 6, Merida, Yucatan, 97310, Mexico
| | - Sudip Datta Banik
- Department of Human Ecology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Antigua Carretera a Progreso Km. 6, Merida, Yucatan, 97310, Mexico
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Kim DW, Glendining KA, Grattan DR, Jasoni CL. Maternal obesity leads to increased proliferation and numbers of astrocytes in the developing fetal and neonatal mouse hypothalamus. Int J Dev Neurosci 2016; 53:18-25. [DOI: 10.1016/j.ijdevneu.2016.06.005] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 06/16/2016] [Indexed: 12/17/2022] Open
Affiliation(s)
- Dong Won Kim
- Centre for NeuroendocrinologyDepartment of AnatomyUniversity of Otago School of Medical SciencesDunedinNew Zealand
| | - Kelly A. Glendining
- Centre for NeuroendocrinologyDepartment of AnatomyUniversity of Otago School of Medical SciencesDunedinNew Zealand
| | - David R. Grattan
- Centre for NeuroendocrinologyDepartment of AnatomyUniversity of Otago School of Medical SciencesDunedinNew Zealand
| | - Christine L. Jasoni
- Centre for NeuroendocrinologyDepartment of AnatomyUniversity of Otago School of Medical SciencesDunedinNew Zealand
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Kim DW, Glendining KA, Grattan DR, Jasoni CL. Maternal Obesity in the Mouse Compromises the Blood-Brain Barrier in the Arcuate Nucleus of Offspring. Endocrinology 2016; 157:2229-42. [PMID: 27054554 DOI: 10.1210/en.2016-1014] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The arcuate nucleus (ARC) regulates body weight in response to blood-borne signals of energy balance. Blood-brain barrier (BBB) permeability in the ARC is determined by capillary endothelial cells (ECs) and tanycytes. Tight junctions between ECs limit paracellular entry of blood-borne molecules into the brain, whereas EC transporters and fenestrations regulate transcellular entry. Tanycytes appear to form a barrier that prevents free diffusion of blood-borne molecules. Here we tested the hypothesis that gestation in an obese mother alters BBB permeability in the ARC of offspring. A maternal high-fat diet model was used to generate offspring from normal-weight (control) and obese dams (OffOb). Evans Blue diffusion into the ARC was higher in OffOb compared with controls, indicating that ARC BBB permeability was altered. Vessels investing the ARC in OffOb had more fenestrations than controls, although the total number of vessels was not changed. A reduced number of tanycytic processes in the ARC of OffOb was also observed. The putative transporters, Lrp1 and dysferlin, were up-regulated and tight junction components were differentially expressed in OffOb compared with controls. These data suggest that maternal obesity during pregnancy can compromise BBB formation in the fetus, leading to altered BBB function in the ARC after birth.
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Affiliation(s)
- Dong Won Kim
- Centre for Neuroendocrinology, Department of Anatomy, University of Otago School of Medical Sciences, Dunedin 9054, New Zealand
| | - Kelly A Glendining
- Centre for Neuroendocrinology, Department of Anatomy, University of Otago School of Medical Sciences, Dunedin 9054, New Zealand
| | - David R Grattan
- Centre for Neuroendocrinology, Department of Anatomy, University of Otago School of Medical Sciences, Dunedin 9054, New Zealand
| | - Christine L Jasoni
- Centre for Neuroendocrinology, Department of Anatomy, University of Otago School of Medical Sciences, Dunedin 9054, New Zealand
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The impact of early growth patterns and infant feeding on body composition at 3 years of age. Br J Nutr 2015; 114:316-27. [PMID: 26131962 DOI: 10.1017/s0007114515001427] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Early excessive weight gain is positively associated with later obesity, and yet the effect of weight gain during specific periods and the impact of infant feeding practices are debated. The objective of the present study was to examine the impact of weight gain in periods of early childhood on body composition at 3 years, and whether infant feeding modified the relationship between early growth and body composition at 3 years. We studied 233 children from the prospective cohort study, SKOT (in Danish: Småbørns Kost og Trivsel). Birth weight z-scores (BWZ) and change in weight-for-age z-scores (WAZ) from 0 to 5, 5 to 9, 9 to 18 and 18 to 36 months were analysed for relations with body composition (anthropometry and bioelectrical impedance) at 3 years by multivariate regression analysis. BWZ and change in WAZ from 0 to 5 months were positively associated with BMI, fat mass index (FMI) and fat-free mass index (FFMI) at 3 years. Full breastfeeding for 6 months (compared to less than 1 month) eliminated the effect of early growth (P = 0.01). Full breastfeeding for 6 months (compared to less than 1 month) also eliminated the positive relation between BWZ and FMI (P = 0.009). No effect modification of infant feeding was found for FFMI. In conclusion, high birth weight and rapid growth from 0 to 5 months were associated with increased FMI and FFMI at 3 years. Longer duration of full breastfeeding reduced the effect of birth weight and early weight gain on fat mass.
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Castillo-Laura H, Santos IS, Quadros LCM, Matijasevich A. Maternal obesity and offspring body composition by indirect methods: a systematic review and meta-analysis. CAD SAUDE PUBLICA 2015; 31:2073-92. [DOI: 10.1590/0102-311x00159914] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2014] [Accepted: 07/23/2015] [Indexed: 01/15/2023] Open
Abstract
Abstract This study reviewed the evidence that assessed the association between maternal pre-pregnancy body mass index (BMI) and/or gestational weight gain and offspring body composition in childhood. A systematic review was conducted. Cohort studies, case-control studies and randomized controlled trials measuring offspring body composition by indirect methods were included. Meta-analyses of the effect of pre-pregnancy BMI on offspring fat-free mass, body fat percent, and fat mass were conducted through random-effects models. 20 studies were included, most of which reported a positive association of pre-pregnancy BMI with offspring body fat. Standardized mean differences in body fat percent, fat mass and fat-free mass between infants of women with normal pre-pregnancy BMI and those of overweight/obese women were 0.31 percent points (95%CI: 0.19; 0.42), 0.38kg (95%CI: 0.26; 0.50), and 0.18kg (95%CI: -0.07; 0.42), respectively. Evidence so far suggests that pre-pregnancy maternal overweight is associated with higher offspring adiposity.
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Diesel JC, Eckhardt CL, Day NL, Brooks MM, Arslanian SA, Bodnar LM. Gestational weight gain and the risk of offspring obesity at 10 and 16 years: a prospective cohort study in low-income women. BJOG 2015; 122:1395-402. [PMID: 26032698 PMCID: PMC4565617 DOI: 10.1111/1471-0528.13448] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2015] [Indexed: 02/04/2023]
Abstract
OBJECTIVE To study the association between gestational weight gain (GWG) and offspring obesity risk at ages chosen to approximate prepuberty (10 years) and postpuberty (16 years). DESIGN Prospective pregnancy cohort. SETTING Pittsburgh, PA, USA. SAMPLE Low-income pregnant women (n = 514) receiving prenatal care at an obstetric residency clinic and their singleton offspring. METHODS Gestational weight gain was classified based on maternal GWG-for-gestational-age Z-score charts and was modelled using flexible spline terms in modified multivariable Poisson regression models. MAIN OUTCOME MEASURES Obesity at 10 or 16 years, defined as body mass index (BMI) Z-scores ≥95th centile of the 2000 CDC references, based on measured height and weight. RESULTS The prevalence of offspring obesity was 20% at 10 years and 22% at 16 years. In the overall sample, the risk of offspring obesity at 10 and 16 years increased when GWG exceeded a GWG Z-score of 0 SD (equivalent to 30 kg at 40 weeks); but for gains below a Z-score of 0 SD there was no relationship with child obesity risk. The association between GWG and offspring obesity varied by prepregnancy BMI. Among mothers with a pregravid BMI <25 kg/m(2) , the risk of offspring obesity increased when GWG Z-score exceeded 0 SD, yet among overweight women (BMI ≥25 kg/m(2) ), there was no association between GWG Z-scores and offspring obesity risk. CONCLUSIONS Among lean women, higher GWG may have lasting effects on offspring obesity risk.
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Affiliation(s)
- JC Diesel
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - CL Eckhardt
- School of Community Health, Portland State University, Portland, OR, USA
| | - NL Day
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - MM Brooks
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - SA Arslanian
- Division of Weight Management and Wellness, Children’s Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - LM Bodnar
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Andres A, Hull HR, Shankar K, Casey PH, Cleves MA, Badger TM. Longitudinal body composition of children born to mothers with normal weight, overweight, and obesity. Obesity (Silver Spring) 2015; 23:1252-8. [PMID: 25960251 DOI: 10.1002/oby.21078] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 02/11/2015] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The longitudinal trajectories of body composition of children born to mothers with normal weight, overweight, and obesity have not been evaluated using precise body composition methods. This study investigated the relationship between maternal prepregnancy BMI and offspring body composition trajectories during the first 6 years of life. METHODS Healthy infants (N = 325) were assessed longitudinally (at ages 0.25, 0.5, 0.75, 1, 2, 3, 4, 5, and 6 years) using dual-energy X-ray absorptiometry. Mixed-effects regression for repeated measures was used to model each continuous outcome as a function of maternal BMI and covariates (race, gestational age, birth weight, and mode of infant feeding). RESULTS Maternal obesity differentially impacted body fat, but not bone mineral content or density, of girls and boys. Boys born to mothers with obesity have higher body fat from ages 2-6 years compared to boys born to normal-weight and overweight mothers (P < 0.05), whereas body composition of girls born to mothers with obesity was not different across groups during the first 6 years of life (P > 0.05). CONCLUSIONS This clinical observational study demonstrates a sexual dimorphism in offspring body composition until age 6 years based on maternal BMI, with a greater effect of maternal adiposity seen in boys than in girls.
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Affiliation(s)
- Aline Andres
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Holly R Hull
- School of Health Professions, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Kartik Shankar
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Patrick H Casey
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Mario A Cleves
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Thomas M Badger
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
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Daraki V, Georgiou V, Papavasiliou S, Chalkiadaki G, Karahaliou M, Koinaki S, Sarri K, Vassilaki M, Kogevinas M, Chatzi L. Metabolic profile in early pregnancy is associated with offspring adiposity at 4 years of age: the Rhea pregnancy cohort Crete, Greece. PLoS One 2015; 10:e0126327. [PMID: 25970502 PMCID: PMC4430416 DOI: 10.1371/journal.pone.0126327] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Accepted: 03/19/2015] [Indexed: 12/14/2022] Open
Abstract
Context Maternal pre-pregnancy obesity may increase the risk of childhood obesity but it is unknown whether other metabolic factors in early pregnancy such as lipid profile and hypertension are associated with offspring cardiometabolic traits. Objective Our objective was to investigate whether fasting lipid, glucose, and insulin levels during early pregnancy and maternal pre-pregnancy weight status, are associated with offspring adiposity measures, lipid levels and blood pressure at preschool age. Design and Methods The study included 618 mother-child pairs of the pregnancy cohort “Rhea” study in Crete, Greece. Pregnant women were recruited at the first prenatal visit (mean: 12weeks, SD: 0.7). A subset of 348 women provided fasting serum samples for glucose and lipid measurements. Outcomes measures were body mass index, abdominal circumference, sum of skinfold thickness, and blood pressure measurements at 4 years of age. A subsample of 525 children provided non-fasting blood samples for lipid measurements. Results Pre-pregnancy overweight/obesity was associated with greater risk of offspring overweight/obesity (RR: 1.83, 95%CI: 1.19, 2.81), central adiposity (RR: 1.97, 95%CI: 1.11, 3.49), and greater fat mass by 5.10mm (95%CI: 2.49, 7.71) at 4 years of age. These associations were more pronounced in girls. An increase of 40mg/dl in fasting serum cholesterol levels in early pregnancy was associated with greater skinfold thickness by 3.30mm (95%CI: 1.41, 5.20) at 4 years of age after adjusting for pre-pregnancy BMI and several other confounders. An increase of 10mmHg in diastolic blood pressure in early pregnancy was associated with increased risk of offspring overweight/obesity (RR: 1.22, 95%CI: 1.03, 1.45), and greater skinfold thickness by 1.71mm (95% CI: 0.57, 2.86) at 4 years of age. Conclusions Metabolic dysregulation in early pregnancy may increase the risk of obesity at preschool age.
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Affiliation(s)
- Vasiliki Daraki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece; Clinic of Endocrinology, University Hospital of Crete, Heraklion, Greece
| | - Vaggelis Georgiou
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | | | - Georgia Chalkiadaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Marianna Karahaliou
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Stella Koinaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Katerina Sarri
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Maria Vassilaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Manolis Kogevinas
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; IMIM (Hospital del Mar Research Institute), Barcelona, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Spain; National School of Public Health, Athens, Greece
| | - Leda Chatzi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
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Castillo H, Santos IS, Matijasevich A. Relationship between maternal pre-pregnancy body mass index, gestational weight gain and childhood fatness at 6-7 years by air displacement plethysmography. MATERNAL AND CHILD NUTRITION 2015; 11:606-17. [PMID: 25850519 PMCID: PMC4832361 DOI: 10.1111/mcn.12186] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
This study aims to investigate the effect of maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on offspring body composition. In this prospective cohort study, offspring body composition at 6 years of age was obtained through air displacement plethysmography. Linear regression was used to obtain crude and adjusted coefficients. Information regarding offspring body composition and maternal pre-pregnancy BMI was available for 3156 children and on offspring body composition and GWG for 3129 children. There was a direct association of maternal pre-pregnancy BMI and GWG with offspring's fat mass (FM), fat-free mass (FFM), fat mass index (FMI), fat-free mass index (FFMI) and body fat percent (BF%) in crude and adjusted analyses. After adjustment for co-variables, for each kg m(-2) of maternal pre-pregnancy BMI increase, there was a mean increment of 0.13 kg in the offspring FFM, 0.06 kg m(-2) in FFMI, 0.11 kg in FM, 0.07 kg m(-2) in FMI and 0.18% in BF%. For each kilogram of maternal GWG increase, there was a mean increment of 0.08 kg in offspring's FM, 0.05 kg m(-2) in FMI, 0.04 kg in FFM, 0.01 kg m(-2) in FFMI and 0.18 % in BF%. Mothers with a higher pre-pregnancy BMI or GWG tend to have children with greater adiposity at age 6 years. Fetal overnutrition is more likely among mothers with greater BMI during pregnancy; as a consequence, it can accelerate the childhood obesity epidemic.
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Affiliation(s)
- Helen Castillo
- Department of Social Medicine, Post Graduate Program of Epidemiology, School of Medicine, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Iná S Santos
- Department of Social Medicine, Post Graduate Program of Epidemiology, School of Medicine, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
| | - Alicia Matijasevich
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, São Paulo, Brazil
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Jasoni CL, Sanders TR, Kim DW. Do all roads lead to Rome? The role of neuro-immune interactions before birth in the programming of offspring obesity. Front Neurosci 2015; 8:455. [PMID: 25691854 PMCID: PMC4315034 DOI: 10.3389/fnins.2014.00455] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Accepted: 12/23/2014] [Indexed: 12/20/2022] Open
Abstract
The functions of the nervous system can be powerfully modulated by the immune system. Although traditionally considered to be quite separate, neuro-immune interactions are increasingly recognized as critical for both normal and pathological nervous system function in the adult. However, a growing body of information supports a critical role for neuro-immune interactions before birth, particularly in the prenatal programming of later-life neurobehavioral disease risk. This review will focus on maternal obesity, as it represents an environment of pathological immune system function during pregnancy that elevates offspring neurobehavioral disease risk. We will first delineate the normal role of the immune system during pregnancy, including the role of the placenta as both a barrier and relayer of inflammatory information between the maternal and fetal environments. This will be followed by the current exciting findings of how immuno-modulatory molecules may elevate offspring risk of neurobehavioral disease by altering brain development and, consequently, later life function. Finally, by drawing parallels with pregnancy complications other than obesity, we will suggest that aberrant immune activation, irrespective of its origin, may lead to neuro-immune interactions that otherwise would not exist in the developing brain. These interactions could conceivably derail normal brain development and/or later life function, and thereby elevate risk for obesity and other neurobehavioral disorders later in the offspring's life.
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Affiliation(s)
- Christine L Jasoni
- Department of Anatomy, Centre for Neuroendocrinology, Gravida: National Centre for Growth and Development, University of Otago Dunedin, New Zealand
| | - Tessa R Sanders
- Department of Anatomy, Centre for Neuroendocrinology, Gravida: National Centre for Growth and Development, University of Otago Dunedin, New Zealand
| | - Dong Won Kim
- Department of Anatomy, Centre for Neuroendocrinology, Gravida: National Centre for Growth and Development, University of Otago Dunedin, New Zealand
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Robinson SM, Crozier SR, Harvey NC, Barton BD, Law CM, Godfrey KM, Cooper C, Inskip HM. Modifiable early-life risk factors for childhood adiposity and overweight: an analysis of their combined impact and potential for prevention. Am J Clin Nutr 2015; 101:368-75. [PMID: 25646335 PMCID: PMC4307207 DOI: 10.3945/ajcn.114.094268] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Early life may be a "critical period" when appetite and regulation of energy balance are programmed, with lifelong consequences for obesity risk. Insight into the potential impact of modifying early-life risk factors on later obesity can be gained by evaluating their combined effects. OBJECTIVE The objective was to examine the relation between the number of early-life risk factors and obesity outcomes among children in a prospective birth cohort (Southampton Women's Survey). DESIGN Five risk factors were defined: maternal obesity [prepregnant body mass index (BMI; in kg/m(2)) >30], excess gestational weight gain (Institute of Medicine, 2009), smoking during pregnancy, low maternal vitamin D status (<64 nmol/L), and short duration of breastfeeding (none or <1 mo). Obesity outcomes examined when the children were aged 4 and 6 y were BMI, dual-energy X-ray absorptiometry-assessed fat mass, overweight, or obesity (International Obesity Task Force). Data were available for 991 mother-child pairs, with children born between 1998 and 2003. RESULTS Of the children, 148 (15%) had no early-life risk factors, 330 (33%) had 1, 296 (30%) had 2, 160 (16%) had 3, and 57 (6%) had 4 or 5. At both 4 and 6 y, there were positive graded associations between number of early-life risk factors and each obesity outcome (all P < 0.001). After taking account of confounders, the relative risk of being overweight or obese for children who had 4 or 5 risk factors was 3.99 (95% CI: 1.83, 8.67) at 4 y and 4.65 (95% CI: 2.29, 9.43) at 6 y compared with children who had none (both P < 0.001). CONCLUSIONS Having a greater number of early-life risk factors was associated with large differences in adiposity and risk of overweight and obesity in later childhood. These findings suggest that early intervention to change these modifiable risk factors could make a significant contribution to the prevention of childhood obesity.
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Affiliation(s)
- Siân M Robinson
- From the Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom (SMR, SRC, NCH, BDB, KMG, CC, and HMI); the National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and Southampton University Hospitals NHS Trust, Southampton, United Kingdom (SMR, NCH, KMG, and CC); NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Nuffield Orthopaedic Centre, Oxford, United Kingdom (CC); and UCL Institute of Child Health, London, United Kingdom (CML)
| | - Sarah R Crozier
- From the Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom (SMR, SRC, NCH, BDB, KMG, CC, and HMI); the National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and Southampton University Hospitals NHS Trust, Southampton, United Kingdom (SMR, NCH, KMG, and CC); NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Nuffield Orthopaedic Centre, Oxford, United Kingdom (CC); and UCL Institute of Child Health, London, United Kingdom (CML)
| | - Nicholas C Harvey
- From the Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom (SMR, SRC, NCH, BDB, KMG, CC, and HMI); the National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and Southampton University Hospitals NHS Trust, Southampton, United Kingdom (SMR, NCH, KMG, and CC); NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Nuffield Orthopaedic Centre, Oxford, United Kingdom (CC); and UCL Institute of Child Health, London, United Kingdom (CML)
| | - Benjamin D Barton
- From the Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom (SMR, SRC, NCH, BDB, KMG, CC, and HMI); the National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and Southampton University Hospitals NHS Trust, Southampton, United Kingdom (SMR, NCH, KMG, and CC); NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Nuffield Orthopaedic Centre, Oxford, United Kingdom (CC); and UCL Institute of Child Health, London, United Kingdom (CML)
| | - Catherine M Law
- From the Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom (SMR, SRC, NCH, BDB, KMG, CC, and HMI); the National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and Southampton University Hospitals NHS Trust, Southampton, United Kingdom (SMR, NCH, KMG, and CC); NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Nuffield Orthopaedic Centre, Oxford, United Kingdom (CC); and UCL Institute of Child Health, London, United Kingdom (CML)
| | - Keith M Godfrey
- From the Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom (SMR, SRC, NCH, BDB, KMG, CC, and HMI); the National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and Southampton University Hospitals NHS Trust, Southampton, United Kingdom (SMR, NCH, KMG, and CC); NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Nuffield Orthopaedic Centre, Oxford, United Kingdom (CC); and UCL Institute of Child Health, London, United Kingdom (CML)
| | - Cyrus Cooper
- From the Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom (SMR, SRC, NCH, BDB, KMG, CC, and HMI); the National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and Southampton University Hospitals NHS Trust, Southampton, United Kingdom (SMR, NCH, KMG, and CC); NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Nuffield Orthopaedic Centre, Oxford, United Kingdom (CC); and UCL Institute of Child Health, London, United Kingdom (CML)
| | - Hazel M Inskip
- From the Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom (SMR, SRC, NCH, BDB, KMG, CC, and HMI); the National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and Southampton University Hospitals NHS Trust, Southampton, United Kingdom (SMR, NCH, KMG, and CC); NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Nuffield Orthopaedic Centre, Oxford, United Kingdom (CC); and UCL Institute of Child Health, London, United Kingdom (CML)
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Zugna D, Galassi C, Annesi-Maesano I, Baïz N, Barros H, Basterrechea M, Correia S, Duijts L, Esplugues A, Fantini MP, Forastiere F, Gascon M, Gori D, Inskip H, Larsen PS, Mommers M, Nybo Andersen AM, Penders J, Petersen MS, Pike K, Porta D, Sonnenschein-van der Voort A, Steuerwald U, Sunyer J, Torrent M, Vrijheid M, Richiardi L, Rusconi F. Maternal complications in pregnancy and wheezing in early childhood: a pooled analysis of 14 birth cohorts. Int J Epidemiol 2015; 44:199-208. [PMID: 25626439 DOI: 10.1093/ije/dyu260] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Evidence on the effect of maternal complications in pregnancy on wheezing in offspring is still insufficient. METHODS A pooled analysis was performed on individual participant data from fourteen European birth cohorts to assess the relationship between several maternal pregnancy complications and wheezing symptoms in the offspring. Exposures of interest included hypertension and preeclampsia, diabetes, as well as pre-pregnancy overweight (body mass index between 25 and 29.9) and obesity (body mass index ≥ 30) compared with normal weight (body mass index between 18.5 and 24.9). Outcomes included both ever and recurrent wheezing from birth up to 12-24 months of age. Cohort-specific crude and adjusted risk ratios (RR) were calculated using log-binomial regression models and then pooled using a random effects model. RESULTS The study included 85509 subjects. Cohort-specific prevalence of ever wheezing varied from 20.0% to 47.3%, and of recurrent wheezing from 3.0% to 14.3%. Adjusted pooled RR for ever and recurrent wheezing were: 1.02 (95% CI: 0.98-1.06) and 1.20 (95% CI: 0.98-1.47) for hypertensive disorders; 1.09 (95% CI: 1.01-1.18) and 1.23 (95% CI: 1.07-1.43) for preeclampsia; 1.04 (95% CI: 0.97-1.13) and 1.24 (95% CI: 0.86-1.79) for diabetes; 1.08 (95% CI: 1.05-1.11) and 1.19 (95% CI: 1.12-1.26) for overweight; 1.12 (95% CI: 1.08-1.17) and 1.16 (95% CI: 0.97-1.39) for obesity. No heterogeneity was found in RR estimates among the cohorts, except for diabetes and recurrent wheezing (P=0.027). CONCLUSIONS Preeclampsia, maternal pre-pregnancy overweight and obesity are associated with an increase risk of wheezing in the offspring.
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Affiliation(s)
- Daniela Zugna
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Claudia Galassi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Isabella Annesi-Maesano
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Nour Baïz
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Henrique Barros
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Mikel Basterrechea
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Sofia Correia
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Liesbeth Duijts
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Ana Esplugues
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Maria Pia Fantini
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Francesco Forastiere
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Mireia Gascon
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Davide Gori
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Hazel Inskip
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Pernille S Larsen
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Monique Mommers
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Anne-Marie Nybo Andersen
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - John Penders
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Maria S Petersen
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Katharine Pike
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Daniela Porta
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Agnes Sonnenschein-van der Voort
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Ulrike Steuerwald
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Jordi Sunyer
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Maties Torrent
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Martine Vrijheid
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
| | - Franca Rusconi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Città della Salute e della Scienza University Hospital, CPO Piedmont, Italy, Inserm, Epidemiology of Allergic and Respiratory diseases (EPAR) Department, U707 and UPMC, EPAR UMR-S 707, Medical School Saint-Antoine, Univ6, Sorbonne Universités Paris, France, Department of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School and EPIUnit - Institute of Public Health, Porto, Portugal, CIBER Epidemiología y Salud Pública (CIBERESP); Subdirección de Salud Pública de Gipuzkoa; Departamento de Sanidad del Gobierno Vasco; Biodonostia, Donostia Ospitalea, Donostia - San Sebastián, Basque Country, Spain, The Generation R Study, Erasmus Medical Center; Department of Epidemiology, Erasmus Medical Center; Department of Pediatrics, Division of Respiratory Medicine and Neonatology, Erasmus Medical Center, Rotterdam, The Netherlands, University of Valencia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP); Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO, Valencia, Spain, Department of Biomedical and Neuromotor Sciences, University of Bologna - Alma Mater Studiorum, Bologna, Italy, Department of Epidemiology, Lazio Regional Health Service, Rome, Italy, Centre for Research in Environmental Epidemiology (CREAL), Barcelona; Hospital del Mar Research Institute (IMIM), Barcelona, Spanish Consortium for Research on Epidemiology (CIBERESP), Barcelona, Spain, MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, United Kingdom, Section of Social Medicine, Department of Public Health, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, The Netherlands, Department of Medical Microbiology, NUTRIM School for Nutrition, Toxicology and Metabolism
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Bouret S, Levin BE, Ozanne SE. Gene-environment interactions controlling energy and glucose homeostasis and the developmental origins of obesity. Physiol Rev 2015; 95:47-82. [PMID: 25540138 PMCID: PMC4281588 DOI: 10.1152/physrev.00007.2014] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Obesity and type 2 diabetes mellitus (T2DM) often occur together and affect a growing number of individuals in both the developed and developing worlds. Both are associated with a number of other serious illnesses that lead to increased rates of mortality. There is likely a polygenic mode of inheritance underlying both disorders, but it has become increasingly clear that the pre- and postnatal environments play critical roles in pushing predisposed individuals over the edge into a disease state. This review focuses on the many genetic and environmental variables that interact to cause predisposed individuals to become obese and diabetic. The brain and its interactions with the external and internal environment are a major focus given the prominent role these interactions play in the regulation of energy and glucose homeostasis in health and disease.
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Affiliation(s)
- Sebastien Bouret
- The Saban Research Institute, Neuroscience Program, Childrens Hospital Los Angeles, University of Southern California, Los Angeles, California; Inserm U837, Jean-Pierre Aubert Research Center, University Lille 2, Lille, France; Neurology Service, Veterans Administration Medical Center, East Orange, New Jersey; Department of Neurology and Neurosciences, Rutgers, New Jersey Medical School, Newark, New Jersey; and University of Cambridge Institute of Metabolic Science and MRC Metabolic Diseases Unit, Cambridge, United Kingdom
| | - Barry E Levin
- The Saban Research Institute, Neuroscience Program, Childrens Hospital Los Angeles, University of Southern California, Los Angeles, California; Inserm U837, Jean-Pierre Aubert Research Center, University Lille 2, Lille, France; Neurology Service, Veterans Administration Medical Center, East Orange, New Jersey; Department of Neurology and Neurosciences, Rutgers, New Jersey Medical School, Newark, New Jersey; and University of Cambridge Institute of Metabolic Science and MRC Metabolic Diseases Unit, Cambridge, United Kingdom
| | - Susan E Ozanne
- The Saban Research Institute, Neuroscience Program, Childrens Hospital Los Angeles, University of Southern California, Los Angeles, California; Inserm U837, Jean-Pierre Aubert Research Center, University Lille 2, Lille, France; Neurology Service, Veterans Administration Medical Center, East Orange, New Jersey; Department of Neurology and Neurosciences, Rutgers, New Jersey Medical School, Newark, New Jersey; and University of Cambridge Institute of Metabolic Science and MRC Metabolic Diseases Unit, Cambridge, United Kingdom
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Hale MW, Spencer SJ, Conti B, Jasoni CL, Kent S, Radler ME, Reyes TM, Sominsky L. Diet, behavior and immunity across the lifespan. Neurosci Biobehav Rev 2014; 58:46-62. [PMID: 25524877 DOI: 10.1016/j.neubiorev.2014.12.009] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2014] [Revised: 11/10/2014] [Accepted: 12/04/2014] [Indexed: 02/07/2023]
Abstract
It is increasingly appreciated that perinatal events can set an organism on a life-long trajectory for either health or disease, resilience or risk. One early life variable that has proven critical for optimal development is the nutritional environment in which the organism develops. Extensive research has documented the effects of both undernutrition and overnutrition, with strong links evident for an increased risk for obesity and metabolic disorders, as well as adverse mental health outcomes. Recent work has highlighted a critical role of the immune system, in linking diet with long term health and behavioral outcomes. The present review will summarize the recent literature regarding the interactions of diet, immunity, and behavior.
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Affiliation(s)
- Matthew W Hale
- School of Psychological Science, La Trobe University, Melbourne, VIC, Australia
| | - Sarah J Spencer
- School of Health Sciences and Health Innovations Research Institute (HIRi), RMIT University, Melbourne, VIC, Australia.
| | - Bruno Conti
- The Scripps Research Institute, La Jolla, CA, USA
| | - Christine L Jasoni
- Centre for Neuroendocrinology, Gravida: National Centre for Growth and Development, Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Stephen Kent
- School of Psychological Science, La Trobe University, Melbourne, VIC, Australia
| | - Morgan E Radler
- School of Psychological Science, La Trobe University, Melbourne, VIC, Australia
| | - Teresa M Reyes
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Luba Sominsky
- School of Health Sciences and Health Innovations Research Institute (HIRi), RMIT University, Melbourne, VIC, Australia
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Gaudet L, Ferraro ZM, Wen SW, Walker M. Maternal obesity and occurrence of fetal macrosomia: a systematic review and meta-analysis. BIOMED RESEARCH INTERNATIONAL 2014; 2014:640291. [PMID: 25544943 PMCID: PMC4273542 DOI: 10.1155/2014/640291] [Citation(s) in RCA: 170] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Accepted: 11/09/2014] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To determine a precise estimate for the contribution of maternal obesity to macrosomia. DATA SOURCES The search strategy included database searches in 2011 of PubMed, Medline (In-Process & Other Non-Indexed Citations and Ovid Medline, 1950-2011), and EMBASE Classic + EMBASE. Appropriate search terms were used for each database. Reference lists of retrieved articles and review articles were cross-referenced. METHODS OF STUDY SELECTION All studies that examined the relationship between maternal obesity (BMI ≥30 kg/m(2)) (pregravid or at 1st prenatal visit) and fetal macrosomia (birth weight ≥4000 g, ≥4500 g, or ≥90th percentile) were considered for inclusion. TABULATION, INTEGRATION, AND RESULTS Data regarding the outcomes of interest and study quality were independently extracted by two reviewers. Results from the meta-analysis showed that maternal obesity is associated with fetal overgrowth, defined as birth weight ≥ 4000 g (OR 2.17, 95% CI 1.92, 2.45), birth weight ≥4500 g (OR 2.77,95% CI 2.22, 3.45), and birth weight ≥90% ile for gestational age (OR 2.42, 95% CI 2.16, 2.72). CONCLUSION Maternal obesity appears to play a significant role in the development of fetal overgrowth. There is a critical need for effective personal and public health initiatives designed to decrease prepregnancy weight and optimize gestational weight gain.
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Affiliation(s)
- Laura Gaudet
- University of Ottawa, Faculty of Medicine, 451 Smyth Road, Ottawa, ON, Canada K1H 8M5
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Newborn Care, The Ottawa Hospital, 501 Smyth Road, Ottawa, ON, Canada K1H 8L6
- Ottawa Hospital Research Institute, Ottawa, ON, Canada K1H 8L6
| | - Zachary M. Ferraro
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Newborn Care, The Ottawa Hospital, 501 Smyth Road, Ottawa, ON, Canada K1H 8L6
- Healthy Active Living and Obesity (HALO) Research Group, Children's Hospital of Eastern Ontario, 401 Smyth Road, Ottawa, ON, Canada K1H 8L1
| | - Shi Wu Wen
- Ottawa Hospital Research Institute, Ottawa, ON, Canada K1H 8L6
| | - Mark Walker
- University of Ottawa, Faculty of Medicine, 451 Smyth Road, Ottawa, ON, Canada K1H 8M5
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology & Newborn Care, The Ottawa Hospital, 501 Smyth Road, Ottawa, ON, Canada K1H 8L6
- Ottawa Hospital Research Institute, Ottawa, ON, Canada K1H 8L6
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Abstract
The importance of skeletal muscle for metabolic health and obesity prevention is gradually gaining recognition. As a result, interventions are being developed to increase or maintain muscle mass and metabolic function in adult and elderly populations. These interventions include exercise, hormonal and nutritional therapies. Nonetheless, growing evidence suggests that maternal malnutrition and obesity during pregnancy and lactation impede skeletal muscle development and growth in the offspring, with long-term functional consequences lasting into adult life. Here we review the role of skeletal muscle in health and obesity, providing an insight into how this tissue develops and discuss evidence that maternal obesity affects its development, growth and function into adult life. Such evidence warrants the need to develop early life interventions to optimise skeletal muscle development and growth in the offspring and thereby maximise metabolic health into adult life.
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Gestational weight gain in normal weight women and offspring cardio-metabolic risk factors at 20 years of age. Int J Obes (Lond) 2014; 39:671-6. [PMID: 25298277 DOI: 10.1038/ijo.2014.179] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2014] [Revised: 08/07/2014] [Accepted: 09/06/2014] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Limited knowledge exists on the long-term implications of maternal gestational weight gain (GWG) on offspring health. Our objective was to examine whether high GWG in normal weight women is associated with adult offspring cardio-metabolic risk factors. METHODS We used a cohort of 308 Danish women who gave birth in 1988-89 and whose offspring participated in a clinical examination at 20 years of age. Main outcome measures were offspring body mass index (BMI), waist circumference, weight-regulating hormones, blood lipids and glucose metabolism. Associations were assessed using multivariable linear and logistic regression models. RESULTS A weak positive association was observed between GWG during the first 30 weeks and offspring anthropometry. Each 1-kg increase in maternal GWG was associated with 0.1-kg m(-2) higher (95% confidence interval (CI): 0.01, 0.2) offspring BMI and 10% (95% CI: 0.1%, 20%) higher odds of offspring overweight at the age of 20 years, with similar associations observed in both sexes. However, sex differences were observed for the association between maternal GWG and specific cardio-metabolic risk factors. Hence, a 1-kg increase in GWG was associated with 3.4% (95% CI; 0.8, 6.0%) higher homeostasis model assessment-estimated insulin resistance (HOMA-IR), 3.7% (95% CI: 1.4%, 6.2%) higher insulin and 10.7% (95% CI: 5.7%, 15.9%) higher leptin levels in male offspring. These associations were not observed in females, which may partly be explained by more frequent reports of dieting and physical exercise at follow-up among female offspring. CONCLUSIONS In normal-weight women, high GWG may have modest long-term implications on offspring cardio-metabolic risk factors at adult age.
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Kaar JL, Crume T, Brinton JT, Bischoff KJ, McDuffie R, Dabelea D. Maternal obesity, gestational weight gain, and offspring adiposity: the exploring perinatal outcomes among children study. J Pediatr 2014; 165:509-15. [PMID: 24996985 PMCID: PMC4145019 DOI: 10.1016/j.jpeds.2014.05.050] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2013] [Revised: 03/12/2014] [Accepted: 05/07/2014] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To determine whether adequate vs excessive gestational weight gain (GWG) attenuated the association between maternal obesity and offspring outcomes. STUDY DESIGN Data from 313 mother-child pairs participating in the Exploring Perinatal Outcomes among Children study were used to test this hypothesis. Maternal prepregnancy body mass index (BMI) and weight measures throughout pregnancy were abstracted from electronic medical records. GWG was categorized according to the 2009 Institute of Medicine criteria as adequate or excessive. Offspring outcomes were obtained at a research visit (average age 10.4 years) and included BMI, waist circumference (WC), subcutaneous adipose tissue (SAT) and visceral adipose tissue, high-density lipoprotein cholesterol, and triglyceride levels. RESULTS More overweight/obese mothers exceeded the Institute of Medicine GWG recommendations (68%) compared with normal-weight women (50%) (P < .01). Maternal prepregnancy BMI was associated with worse childhood outcomes, particularly among offspring of mothers with excessive GWG (increased BMI [20.34 vs 17.80 kg/m(2)], WC [69.23 vs 62.83 cm], SAT [149.30 vs 90.47 cm(2)], visceral adipose tissue [24.11 vs 17.55 cm(2)], and homeostatic model assessment [52.52 vs 36.69], all P < .001). The effect of maternal prepregnancy BMI on several childhood outcomes was attenuated for offspring of mothers with adequate vs excessive GWG (P < .05 for the interaction between maternal BMI and GWG status on childhood BMI, WC, SAT, and high-density lipoprotein cholesterol). CONCLUSION Our findings lend support for pregnancy interventions aiming at controlling GWG to prevent childhood obesity.
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Affiliation(s)
- Jill L Kaar
- Department of Pediatrics, Colorado School of Medicine, University of Colorado Denver, Denver, CO.
| | - Tessa Crume
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Denver, CO
| | - John T Brinton
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Denver, CO
| | | | - Robert McDuffie
- Department of Perinatology, Kaiser Permanente of Colorado, Denver, CO
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Denver, CO
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O'Tierney-Ginn P, Presley L, Minium J, Hauguel deMouzon S, Catalano PM. Sex-specific effects of maternal anthropometrics on body composition at birth. Am J Obstet Gynecol 2014; 211:292.e1-9. [PMID: 24858203 DOI: 10.1016/j.ajog.2014.05.031] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Revised: 04/14/2014] [Accepted: 05/20/2014] [Indexed: 12/25/2022]
Abstract
OBJECTIVE The purpose of this study was to assess whether maternal factors that are associated with fetal lean and fat mass differ between sexes. STUDY DESIGN Secondary analysis of a prospective cohort that delivered by scheduled cesarean section from 2004-2013. Maternal blood was collected before surgery for metabolic parameters. Placental weight and neonatal anthropometrics were measured within 48 hours. Anthropometric differences between sexes were assessed with the Student t test. Multiple stepwise regression analysis assessed the relationship between independent maternal variables and neonatal lean body mass (LBM), fat mass (FM), or percentage of fat as dependent variables in male and female infants combined and separately. RESULTS We analyzed 360 women with normal glucose tolerance and a wide range of pregravid body mass index (16-64 kg/m(2)) and their offspring (male, 194; female, 166). Male infants had more FM (mean difference, 40 ± 18 g; P = .03) and LBM (mean difference, 158 ± 34 g; P < .0001) than female infants. Percentage of body fat and measured maternal variables did not differ between sexes. In both sexes, placental weight had the strongest correlation with both neonatal LBM and FM, which accounted for 20-39% of the variance. In male infants, maternal height, body mass index, and weight gain were significant predictors of both lean and fat mass. In female infants, plasma interleukin-6 and C-reactive protein, respectively, were associated independently with percentage of body fat and LBM. CONCLUSION Our findings suggest that the body composition and inflammatory environment of the mother modulate the metabolic fitness of neonates, as predicted by fat and lean mass, in a sex-specific manner.
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Affiliation(s)
- Perrie O'Tierney-Ginn
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, OH; Department of Reproductive Biology, Case Western Reserve University, Cleveland, OH.
| | - Larraine Presley
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, OH
| | - Judi Minium
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, OH
| | - Sylvie Hauguel deMouzon
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, OH; Department of Reproductive Biology, Case Western Reserve University, Cleveland, OH
| | - Patrick M Catalano
- Center for Reproductive Health, MetroHealth Medical Center, Cleveland, OH; Department of Reproductive Biology, Case Western Reserve University, Cleveland, OH
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Sanders TR, Kim DW, Glendining KA, Jasoni CL. Maternal obesity and IL-6 lead to aberrant developmental gene expression and deregulated neurite growth in the fetal arcuate nucleus. Endocrinology 2014; 155:2566-77. [PMID: 24773340 DOI: 10.1210/en.2013-1968] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Maternal obesity during pregnancy increases the risk of obesity in the offspring. Several observations have pointed to a causative role for the proinflammatory cytokine IL-6, but whether it is present in the fetal circulation and how it acts on the developing fetus are unclear. We first observed that postnatal day 0 offspring from obese mothers had significantly reduced neuropeptide Y (NPY) innervation of the paraventricular nucleus (PVN) compared with that for offspring of normal-weight controls. Thus, the growth of NPY neurites from the arcuate nucleus (ARC) was impaired in the fetal brain by maternal obesity. The neurite growth regulator, Netrin-1, was expressed in the ARC and PVN and along the pathway between the two at gestational day (GD) 17.5 in normal animals, making it likely to be involved in the development of NPY ARC-PVN projections. In addition, the expression of Dcc and Unc5d, receptors for Netrin-1, were altered in the GD17.5 ARC in obese but not normal weight pregnancies. Thus, this important developmental pathway is perturbed by maternal obesity and may explain the defect in NPY innervation of the PVN that occurs in fetuses developing in obese mothers. To investigate whether IL-6 may play a role in these developmental changes, we found first that IL-6 was significantly elevated in the fetal and maternal circulation in pregnancies of obese mice compared with those of normal-weight mice. In addition, treatment of GD17.5 ARC tissue with IL-6 in vitro significantly reduced ARC neurite outgrowth and altered developmental gene expression similar to maternal obesity in vivo. These findings demonstrate that maternal obesity may alter the way in which fetal ARC NPY neurons respond to key developmental signals that regulate normal prenatal neural connectivity and suggest a causative role for elevated IL-6 in these changes.
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Affiliation(s)
- Tessa R Sanders
- Centre for Neuroendocrinology, Gravida: National Research Centre for Growth and Development, Department of Anatomy, University of Otago School of Medical Sciences, Dunedin 9054, New Zealand
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Increased maternal BMI is associated with infant wheezing in early life: a prospective cohort study. J Dev Orig Health Dis 2014; 5:351-60. [PMID: 25081820 DOI: 10.1017/s2040174414000312] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Rates of obesity are increasing in women of child bearing age with negative impacts on maternal and offspring health. Emerging evidence suggests in utero origins of respiratory health in offspring of obese mothers but mechanisms are unknown. Changes in maternal cortisol levels are one potential factor as cortisol levels are altered in obesity and cortisol is separately implicated in development of offspring wheeze. We aimed to assess whether increased pre-pregnancy maternal body mass index (BMI) was associated with offspring early life wheezing, and whether this was mediated by altered cortisol levels in the mother. In a prospective community-based cohort (Amsterdam Born Children and their Development cohort), women completed questionnaires during pregnancy and at 3-5 months post-delivery regarding self-history of asthma and atopy, and of wheezing of their offspring (n=4860). Pre-pregnancy BMI was recorded and serum total cortisol levels were measured in a subset of women (n=2227) at their first antenatal visit. A total of 20.2% (n=984) women were overweight or obese and 10.3% reported wheezing in their offspring. Maternal BMI was associated with offspring wheezing (1 unit (kg/m2) increase, OR: 1.03; 95% CI: 1.00-1.05), after correction for confounders. Although maternal cortisol levels were lower in overweight mothers and those with a history of asthma, maternal cortisol levels did not mediate the increased offspring wheezing. Pre-pregnancy BMI impacts on baby wheezing, which is not mediated by lower cortisol levels. As the prevalence of obesity in women of child-bearing age is increasing, further studies are needed to investigate modifiable maternal factors to avoid risk of wheezing in young children.
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Durmuş B, Heppe DHM, Gishti O, Manniesing R, Abrahamse-Berkeveld M, van der Beek EM, Hofman A, Duijts L, Gaillard R, Jaddoe VWV. General and abdominal fat outcomes in school-age children associated with infant breastfeeding patterns. Am J Clin Nutr 2014; 99:1351-8. [PMID: 24622802 DOI: 10.3945/ajcn.113.075937] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Breastfeeding may have a protective effect on the development of obesity in later life. Not much is known about the effects of infant feeding on more-specific fat measures. OBJECTIVE We examined associations of breastfeeding duration and exclusiveness and age at the introduction of solid foods with general and abdominal fat outcomes in children. DESIGN We performed a population-based, prospective cohort study in 5063 children. Information about infant feeding was obtained by using questionnaires. At the median age of 6.0 y (95% range: 5.7 y, 6.8 y), we measured childhood anthropometric measures, total fat mass and the android:gynoid fat ratio by using dual-energy X-ray absorptiometry, and preperitoneal abdominal fat by using ultrasound. RESULTS We observed that, in the models adjusted for child age, sex, and height only, a shorter breastfeeding duration, nonexclusive breastfeeding, and younger age at the introduction of solid foods were associated with higher childhood general and abdominal fat measures (P-trend < 0.05) but not with higher childhood body mass index. The introduction of solid foods at a younger age but not breastfeeding duration or exclusivity was associated with higher risk of overweight or obesity (OR: 2.05; 95% CI: 1.41, 2.90). After adjustment for family-based sociodemographic, maternal lifestyle, and childhood factors, the introduction of solid food between 4 and 4.9 mo of age was associated with higher risks of overweight or obesity, but the overall trend was not significant. CONCLUSIONS Associations of infant breastfeeding and age at the introduction of solid foods with general and abdominal fat outcomes are explained by sociodemographic and lifestyle-related factors. Whether infant dietary composition affects specific fat outcomes at older ages should be further studied.
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Affiliation(s)
- Büşra Durmuş
- From the Generation R Study Group (BD, DHMH, OG, RG, and VWVJ) and the Departments of Pediatrics (DHMH, OG, LD, RG, and VWVJ) and Epidemiology (BD, DHMH, OG, AH, LD, RG, and VWVJ), Erasmus University Medical Center, Rotterdam, Netherlands; the Department of Radiology, Radboud University, Nijmegen, Netherlands (RM); and Nutricia Research, Utrecht, Netherlands (MA-B and EMvdB)
| | - Denise H M Heppe
- From the Generation R Study Group (BD, DHMH, OG, RG, and VWVJ) and the Departments of Pediatrics (DHMH, OG, LD, RG, and VWVJ) and Epidemiology (BD, DHMH, OG, AH, LD, RG, and VWVJ), Erasmus University Medical Center, Rotterdam, Netherlands; the Department of Radiology, Radboud University, Nijmegen, Netherlands (RM); and Nutricia Research, Utrecht, Netherlands (MA-B and EMvdB)
| | - Olta Gishti
- From the Generation R Study Group (BD, DHMH, OG, RG, and VWVJ) and the Departments of Pediatrics (DHMH, OG, LD, RG, and VWVJ) and Epidemiology (BD, DHMH, OG, AH, LD, RG, and VWVJ), Erasmus University Medical Center, Rotterdam, Netherlands; the Department of Radiology, Radboud University, Nijmegen, Netherlands (RM); and Nutricia Research, Utrecht, Netherlands (MA-B and EMvdB)
| | - Rashindra Manniesing
- From the Generation R Study Group (BD, DHMH, OG, RG, and VWVJ) and the Departments of Pediatrics (DHMH, OG, LD, RG, and VWVJ) and Epidemiology (BD, DHMH, OG, AH, LD, RG, and VWVJ), Erasmus University Medical Center, Rotterdam, Netherlands; the Department of Radiology, Radboud University, Nijmegen, Netherlands (RM); and Nutricia Research, Utrecht, Netherlands (MA-B and EMvdB)
| | - Marieke Abrahamse-Berkeveld
- From the Generation R Study Group (BD, DHMH, OG, RG, and VWVJ) and the Departments of Pediatrics (DHMH, OG, LD, RG, and VWVJ) and Epidemiology (BD, DHMH, OG, AH, LD, RG, and VWVJ), Erasmus University Medical Center, Rotterdam, Netherlands; the Department of Radiology, Radboud University, Nijmegen, Netherlands (RM); and Nutricia Research, Utrecht, Netherlands (MA-B and EMvdB)
| | - Eline M van der Beek
- From the Generation R Study Group (BD, DHMH, OG, RG, and VWVJ) and the Departments of Pediatrics (DHMH, OG, LD, RG, and VWVJ) and Epidemiology (BD, DHMH, OG, AH, LD, RG, and VWVJ), Erasmus University Medical Center, Rotterdam, Netherlands; the Department of Radiology, Radboud University, Nijmegen, Netherlands (RM); and Nutricia Research, Utrecht, Netherlands (MA-B and EMvdB)
| | - Albert Hofman
- From the Generation R Study Group (BD, DHMH, OG, RG, and VWVJ) and the Departments of Pediatrics (DHMH, OG, LD, RG, and VWVJ) and Epidemiology (BD, DHMH, OG, AH, LD, RG, and VWVJ), Erasmus University Medical Center, Rotterdam, Netherlands; the Department of Radiology, Radboud University, Nijmegen, Netherlands (RM); and Nutricia Research, Utrecht, Netherlands (MA-B and EMvdB)
| | - Liesbeth Duijts
- From the Generation R Study Group (BD, DHMH, OG, RG, and VWVJ) and the Departments of Pediatrics (DHMH, OG, LD, RG, and VWVJ) and Epidemiology (BD, DHMH, OG, AH, LD, RG, and VWVJ), Erasmus University Medical Center, Rotterdam, Netherlands; the Department of Radiology, Radboud University, Nijmegen, Netherlands (RM); and Nutricia Research, Utrecht, Netherlands (MA-B and EMvdB)
| | - Romy Gaillard
- From the Generation R Study Group (BD, DHMH, OG, RG, and VWVJ) and the Departments of Pediatrics (DHMH, OG, LD, RG, and VWVJ) and Epidemiology (BD, DHMH, OG, AH, LD, RG, and VWVJ), Erasmus University Medical Center, Rotterdam, Netherlands; the Department of Radiology, Radboud University, Nijmegen, Netherlands (RM); and Nutricia Research, Utrecht, Netherlands (MA-B and EMvdB)
| | - Vincent W V Jaddoe
- From the Generation R Study Group (BD, DHMH, OG, RG, and VWVJ) and the Departments of Pediatrics (DHMH, OG, LD, RG, and VWVJ) and Epidemiology (BD, DHMH, OG, AH, LD, RG, and VWVJ), Erasmus University Medical Center, Rotterdam, Netherlands; the Department of Radiology, Radboud University, Nijmegen, Netherlands (RM); and Nutricia Research, Utrecht, Netherlands (MA-B and EMvdB)
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Kim DW, Young SL, Grattan DR, Jasoni CL. Obesity during pregnancy disrupts placental morphology, cell proliferation, and inflammation in a sex-specific manner across gestation in the mouse. Biol Reprod 2014; 90:130. [PMID: 24829026 DOI: 10.1095/biolreprod.113.117259] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
It is well-accepted that maternal obesity affects fetal development to elevate the risk of offspring disease, but how this happens is unclear. Understanding placental alterations during gestation as a consequence of maternal obesity is critical to understanding the impact of maternal obesity on fetal programming. Here, we used histological criteria, flow cytometry, quantitative PCR, and multiplex cytokine assays to examine changes in cell proliferation and inflammation in the placenta during gestation in a mouse model of maternal high-fat diet-induced obesity. We focused on mouse mid- to late gestation (approximately human late first and third trimester) because previous literature has indicated that this is when important regulators of metabolism, including that of the brain and endocrine pancreas, are forming. These studies were undertaken in order to understand how maternal obesity changes the placenta during this period, which might suggest a causal link to later-life metabolic dysfunction. We found that labyrinth thickness and cell proliferation were decreased at both pregnancy stages in obese compared to normal weight pregnancies. Inflammation was also altered in late pregnancy with increased macrophage activation and elevated cytokine gene expression in the placenta as well as increased abundance of some cytokines in the fetal circulation in obese compared to normal weight pregnancies. These changes in macrophage activation and cytokine gene expression were of greater magnitude and significance in placentas accompanying male fetuses. These data provide insight into placental changes in obesity and identify potential links between placental inflammation and programming of offspring disease by maternal obesity.
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Affiliation(s)
- Dong Won Kim
- Centre for Neuroendocrinology, Gravida: National Centre for Growth and Development, Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Sarah L Young
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - David R Grattan
- Centre for Neuroendocrinology, Gravida: National Centre for Growth and Development, Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Christine L Jasoni
- Centre for Neuroendocrinology, Gravida: National Centre for Growth and Development, Department of Anatomy, University of Otago, Dunedin, New Zealand
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Thandrayen K, Norris SA, Micklesfield LK, Pettifor JM. Fracture patterns and bone mass in South African adolescent-mother pairs: the Birth to Twenty cohort. Osteoporos Int 2014; 25:693-700. [PMID: 23943166 PMCID: PMC3906554 DOI: 10.1007/s00198-013-2477-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2013] [Accepted: 07/26/2013] [Indexed: 11/30/2022]
Abstract
UNLABELLED The associations of fracture prevalence and bone mass in adolescents with maternal fracture history and bone mass have not been investigated previously in South Africa. Maternal bone mass has a significant inverse association with their adolescents' fracture rates and bone mass across all ethnic groups. INTRODUCTION Differences in fracture rates and bone mass between families and individuals of different ethnic origins may be due to differing lifestyles and/or genetic backgrounds. This study aimed to assess associations of fracture prevalence and bone mass in adolescents with maternal fracture history and bone mass, and sibling fracture history. METHODS Data from 1,389 adolescent-biological mother pairs from the Birth to Twenty longitudinal study were obtained. Questionnaires were completed on adolescent fractures until 17/18 years of age and on sibling fractures. Biological mothers completed questionnaires on their own fractures prior to the age of 18 years. Anthropometric and bone mass data on adolescent-biological mother pairs were collected. RESULTS An adolescent's risk of lifetime fracture decreased with increasing maternal lumbar spine (LS) bone mineral content (BMC; 24 % reduction in fracture risk for every unit increase in maternal LS BMC Z-score) and increased if they were white, male, or had a sibling with a history of fracture. Adolescent height, weight, male gender, maternal bone area and BMC, and white ethnicity were positive predictors of adolescent bone mass. White adolescents and their mothers had a higher fracture prevalence (adolescents 42 %, mothers 31 %) compared to the black (adolescents 20 %, mothers 6 %) and mixed ancestry (adolescents 20 %, mothers 16 %) groups. CONCLUSION Maternal bone mass has a significant inverse association with their adolescent off-springs' fracture risk and bone mass. Furthermore, there is a strong familial component in fracture patterns among South African adolescents and their siblings.
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Affiliation(s)
- K. Thandrayen
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Paediatrics, Chris Hani Baragwanath Hospital, PO Bertsham, Johannesburg, 2013 South Africa
| | - S. A. Norris
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - L. K. Micklesfield
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - J. M. Pettifor
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Ge ZJ, Luo SM, Lin F, Liang QX, Huang L, Wei YC, Hou Y, Han ZM, Schatten H, Sun QY. DNA methylation in oocytes and liver of female mice and their offspring: effects of high-fat-diet-induced obesity. ENVIRONMENTAL HEALTH PERSPECTIVES 2014; 122:159-64. [PMID: 24316659 PMCID: PMC3915265 DOI: 10.1289/ehp.1307047] [Citation(s) in RCA: 115] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2013] [Accepted: 12/05/2013] [Indexed: 05/25/2023]
Abstract
BACKGROUND Maternal obesity has adverse effects on oocyte quality, embryo development, and the health of the offspring. OBJECTIVES To understand the underlying mechanisms responsible for the negative effects of maternal obesity, we investigated the DNA methylation status of several imprinted genes and metabolism-related genes. METHODS Using a high-fat-diet (HFD)-induced mouse model of obesity, we analyzed the DNA methylation of several imprinted genes and metabolism-related genes in oocytes from control and obese dams and in oocytes and liver from their offspring. Analysis was performed using combined bisulfite restriction analysis (COBRA) and bisulfite sequencing. RESULTS DNA methylation of imprinted genes in oocytes was not altered in either obese dams or their offspring; however, DNA methylation of metabolism-related genes was changed. In oocytes of obese mice, the DNA methylation level of the leptin (Lep) promoter was significantly increased and that of the Ppar-α promoter was reduced. Increased methylation of Lep and decreased methylation of Ppar-α was also observed in the liver of female offspring from dams fed the high-fat diet (OHFD). mRNA expression of Lep and Ppar-α was also significantly altered in the liver of these OHFD. In OHFD oocytes, the DNA methylation level of Ppar-α promoter was increased. CONCLUSIONS Our results indicate that DNA methylation patterns of several metabolism-related genes are changed not only in oocytes of obese mice but also in oocytes and liver of their offspring. These data may contribute to the understanding of adverse effects of maternal obesity on reproduction and health of the offspring.
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Affiliation(s)
- Zhao-Jia Ge
- State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
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