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Jin WY, Chen XY, Han T, Jin Y, Chen TT, Wang ZH, Zhao ZY, Zhu ZW. Associations between cord blood metabolic factors and early-childhood growth and overweight and obesity. Front Endocrinol (Lausanne) 2023; 14:1164747. [PMID: 37497350 PMCID: PMC10366685 DOI: 10.3389/fendo.2023.1164747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 06/23/2023] [Indexed: 07/28/2023] Open
Abstract
Objective This prospective cohort study was aimed at investigating the associations between cord blood metabolic factors and early-childhood growth, further elucidating the relationships between cord blood metabolites and overweight and obesity in early life. Methods A total of 2,267 pairs of mothers and offspring were recruited in our study. Cord blood plasma was assayed for triglycerides (TGs), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), C-peptide, insulin, and glycosylated hemoglobin type A1C (HbA1c) levels. Data of anthropometric measurements were collected from offspring at birth, 6 months, 12 months, and 18 months. Multiple linear regression models were used to evaluate the correlations between cord blood metabolic factors and weight Z-scores, body mass index (BMI) Z-scores, and weight gains at the early stage of life. Forward stepwise logistic regression analyses were applied to explore the associations between cord blood metabolic factors and early-childhood overweight and obesity. Receiver operating characteristic (ROC) curve analyses were applied to determine the optimal cutoff points for cord blood metabolic factors in predicting early-childhood overweight and obesity. Results After adjustments for covariates, cord blood TG concentrations and TG/TC ratios were negatively associated with weight Z-scores from birth to 18 months. Cord blood C-peptide and HbA1c levels were inversely associated with weight Z-scores at 6 months and 18 months. Cord blood TG concentrations and TG/TC ratios were negatively correlated with BMI Z-scores up to 18 months. Cord blood C-peptide levels and HbA1c levels were inversely correlated with BMI Z-scores at 18 months. Cord blood TG, TG/TC ratios, C-peptide, and HbA1c had negative correlations with weight gains from birth to 6 months, but the correlations attenuated as time went on. Increase in cord blood TG and HbA1c levels and TG/TC ratios were significantly associated with decreased risks of overweight and obesity at 6 months, 12 months, and 18 months. Conclusions Cord blood metabolic factors were significantly associated with early-childhood growth patterns.
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Affiliation(s)
- Wen-Yuan Jin
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Xiao-Yang Chen
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Ting Han
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yan Jin
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Ting-Ting Chen
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zi-Han Wang
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zheng-Yan Zhao
- Department of Genetic and Metabolism, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zhi-Wei Zhu
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
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Gainfort A, Delahunt A, Killeen SL, O'Reilly SL, Hébert JR, Shivappa N, McAuliffe FM. Energy-Adjusted Dietary Inflammatory Index in pregnancy and maternal cardiometabolic health: findings from the ROLO study. AJOG GLOBAL REPORTS 2023; 3:100214. [PMID: 37234814 PMCID: PMC10205536 DOI: 10.1016/j.xagr.2023.100214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023] Open
Abstract
Background Excessive inflammation during pregnancy has been linked to adverse long-term health outcomes for both mothers and their children. One such outcome is maternal cardiometabolic dysfunction. The Energy-Adjusted Dietary Inflammatory Index is a method of scoring the overall inflammatory potential of the diet. Research on how the inflammatory potential of the maternal diet during pregnancy affects maternal cardiometabolic factors is limited. Objective We investigated if the maternal Energy-Adjusted Dietary Inflammatory Index was associated with maternal cardiometabolic factors during pregnancy. Study design This is a secondary analysis of 518 individuals who participated in the ROLO (Randomized cOntrol trial of a LOw glycemic index diet in pregnancy) study. Maternal Energy-Adjusted Dietary Inflammatory Index scores were calculated in early (12-14 weeks' gestation) and late pregnancy (34 weeks' gestation) using data collected from 3-day food diaries. Body mass index, blood pressure, fasting lipid profiles, glucose levels, and HOMA1-IR were obtained in early and late pregnancy. Multiple linear regression examined associations between early-pregnancy Energy-Adjusted Dietary Inflammatory Index and early and late maternal cardiometabolic markers. In addition, the relationship between late-pregnancy Energy-Adjusted Dietary Inflammatory Index and late cardiometabolic factors was explored. Regression models were adjusted for maternal ethnicity, maternal age at delivery, education level, smoking status, and original randomized control trial group allocation. In regression models examining late-pregnancy Energy-Adjusted Dietary Inflammatory Index with late lipids, change in lipid level from early to late pregnancy was also adjusted for. Results Women's mean (standard deviation) age at delivery was 32.8 (±4.01) years, with median (interquartile range) body mass index of 24.45 (23.34-28.20) kg/m2. Mean (standard deviation) Energy-Adjusted Dietary Inflammatory Index was 0.59 (±1.60) in early pregnancy and 0.67 (±1.59) in late pregnancy. In adjusted linear regression analysis, first-trimester maternal Energy-Adjusted Dietary Inflammatory Index was positively associated with maternal body mass index (B=0.007; 95% confidence interval, 0.003-0.011; P=.001), early-pregnancy cardiometabolic markers including total cholesterol (B=0.155; 95% confidence interval, 0.061-0.249; P=.001), triglycerides (B=0.043; 95% confidence interval, 0.005-0.080; P=.03), low-density lipoproteins (B=0.129; 95% confidence interval, 0.049-0.209; P=.002), and diastolic blood pressure (B=0.538; 95% confidence interval, 0.070-1.006; P=.02), and late-pregnancy cardiometabolic markers including total cholesterol (B=0.127; 95% confidence interval, 0.012-0.243; P=.01) and low-density lipoproteins (B=0.110; 95% confidence interval, 0.010-0.209; P=.03). In the third trimester, Energy-Adjusted Dietary Inflammatory Index was associated with late-pregnancy diastolic blood pressure (B=0.624; 95% confidence interval, 0.103-1.145; P=.02), HOMA1-IR (B=0.030; 95% confidence interval, 0.005-0.054; P=.02), and glucose (B=0.003; 95% confidence interval, 0.003-0.034; P=.03). No associations were observed between third-trimester Energy-Adjusted Dietary Inflammatory Index and late-pregnancy lipid profiles. Conclusion Maternal diets with a higher Energy-Adjusted Dietary Inflammatory Index, which were low in anti-inflammatory foods and rich in proinflammatory foods, were associated with increased levels of cardiometabolic health risk factors in pregnancy. Promoting dietary intakes that have a lower inflammatory potential may support more favorable maternal cardiometabolic profiles during pregnancy.
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Affiliation(s)
- Amy Gainfort
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland (Ms Gainfort, Delahunt, Killeen, O'Reilly, and McAuliffe)
| | - Anna Delahunt
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland (Ms Gainfort, Delahunt, Killeen, O'Reilly, and McAuliffe)
| | - Sarah Louise Killeen
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland (Ms Gainfort, Delahunt, Killeen, O'Reilly, and McAuliffe)
| | - Sharleen L. O'Reilly
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland (Ms Gainfort, Delahunt, Killeen, O'Reilly, and McAuliffe)
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland (Dr O'Reilly)
| | - James R. Hébert
- Cancer Prevention and Control Program, Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina and Connecting Health Innovations LLC, Columbia, SC (Drs Hébert and Shivappa)
| | - Nitin Shivappa
- Cancer Prevention and Control Program, Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina and Connecting Health Innovations LLC, Columbia, SC (Drs Hébert and Shivappa)
| | - Fionnuala M. McAuliffe
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland (Ms Gainfort, Delahunt, Killeen, O'Reilly, and McAuliffe)
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Gao M, Wang H, Li W, Wang L, Li N, Qiao Y, Zhang T, Li J, Yu Z, Hu G, Leng J, Yang X. Maternal insulin resistance and maternal β-cell function during pregnancy for offspring overweight before 2 years of age among women with gestational diabetes. Pediatr Obes 2023; 18:e12995. [PMID: 36523130 DOI: 10.1111/ijpo.12995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/21/2022] [Accepted: 11/30/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To explore associations of maternal insulin resistance and β-cell dysfunction with offspring overweight before 24 months of age among children of Chinese women with gestational diabetes mellitus (GDM). METHODS Offspring of women with GDM (n = 901) who were enrolled in a lifestyle trial during pregnancy were followed up to 24 months of age in Tianjin, China. Restricted cubic spline analysis was performed to examine full-range associations of maternal homeostatic model assessment of insulin resistance (HOMA-IR) and β-cell function (HOMA-%β) with childhood overweight. Logistic regression was performed to obtain the odds ratios (ORs) and 95% confidence interval (CI) of maternal high HOMA-IR and low HOMA-%β at diagnosis of GDM for offspring overweight within 12 months of age and at 13-24 months of age. RESULTS Maternal high HOMA-IR was associated with an increased risk of offspring being overweight within 12 months of age and at 13-24 months of age (OR: 1.71, 95%CI: 1.12-2.62 & 1.89, 1.13-3.17, respectively). Maternal low HOMA-%β was associated with an increased risk of offspring being overweight at 13-24 months of age (1.64, 1.05-2.55). CONCLUSIONS Both maternal increased insulin resistance and decreased β-cell function at diagnosis of GDM were associated with elevated risk of offspring overweight in early childhood among Chinese women with GDM.
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Affiliation(s)
- Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Weiqin Li
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Leishen Wang
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yijuan Qiao
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Tao Zhang
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research Program, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Junhong Leng
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
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de Knegt VE, Hedley PL, Eltvedt AK, Placing S, Wøjdemann K, Shalmi AC, Rode L, Kanters JK, Sundberg K, Tabor A, Lausten-Thomsen U, Christiansen M. First-Trimester Maternal Serum Adiponectin/Leptin Ratio in Pre-Eclampsia and Fetal Growth. Life (Basel) 2023; 13:life13010130. [PMID: 36676079 PMCID: PMC9864486 DOI: 10.3390/life13010130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/28/2022] [Accepted: 12/29/2022] [Indexed: 01/04/2023] Open
Abstract
The serum adiponectin/leptin ratio (A/L ratio) is a surrogate marker of insulin sensitivity. Pre-eclampsia (PE) is associated with maternal metabolic syndrome and occasionally impaired fetal growth. We assessed whether the A/L ratio in first-trimester maternal serum was associated with PE and/or birth weight. Adiponectin and leptin were quantitated in first-trimester blood samples (gestational week 10+3−13+6) from 126 women who later developed PE with proteinuria (98 mild PE; 21 severe PE; 7 HELLP syndrome), and 297 controls, recruited from the Copenhagen First-Trimester Screening Study. The A/L ratio was reduced in PE pregnancies, median 0.17 (IQR: 0.12−0.27) compared with controls, median 0.32 (IQR: 0.19−0.62) (p < 0.001). A multiple logistic regression showed that PE was negatively associated with log A/L ratio independent of maternal BMI (odds ratio = 0.315, 95% CI = 0.191 to 0.519). Adiponectin (AUC = 0.632) and PAPP-A (AUC = 0.605) were negatively associated with PE, and leptin (AUC = 0.712) was positively associated with PE. However, the A/L ratio was a better predictor of PE (AUC = 0.737), albeit not clinically relevant as a single marker. No significant association was found between A/L ratio and clinical severity of pre-eclampsia or preterm birth. PE was associated with a significantly lower relative birth weight (p < 0.001). A significant negative correlation was found between relative birth weight and A/L ratio in controls (β = −0.165, p < 0.05) but not in PE pregnancies), independent of maternal BMI. After correction for maternal BMI, leptin was significantly associated with relative birth weight (β = 2.98, p < 0.05), while adiponectin was not significantly associated. Our findings suggest that an impairment of the A/L ratio (as seen in metabolic syndrome) in the first trimester is characteristic of PE, while aberrant fetal growth in PE is not dependent on insulin sensitivity, but rather on leptin-associated pathways.
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Affiliation(s)
- Victoria E. de Knegt
- Department for Congenital Disorders, Statens Serum Institut, 2300 Copenhagen, Denmark
- Department of Paediatrics, University Hospital Slagelse, 4200 Slagelse, Denmark
| | - Paula L. Hedley
- Department for Congenital Disorders, Statens Serum Institut, 2300 Copenhagen, Denmark
- Brazen Bio, Los Angeles, CA 90014, USA
| | - Anna K. Eltvedt
- Department for Congenital Disorders, Statens Serum Institut, 2300 Copenhagen, Denmark
| | - Sophie Placing
- Department for Congenital Disorders, Statens Serum Institut, 2300 Copenhagen, Denmark
| | - Karen Wøjdemann
- Department of Gynecology and Obstetrics, Bornholm Hospital, 3700 Rønne, Denmark
| | | | - Line Rode
- Department of Clinical Biochemistry, Copenhagen University Hospital Rigshospitalet, 2600 Glostrup, Denmark
| | - Jørgen K. Kanters
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Karin Sundberg
- Center of Fetal Medicine, Department of Obstetrics, Copenhagen University Hospital Rigshospitalet, 2100 Copenhagen, Denmark
| | - Ann Tabor
- Center of Fetal Medicine, Department of Obstetrics, Copenhagen University Hospital Rigshospitalet, 2100 Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Ulrik Lausten-Thomsen
- Department of Neonatology, University Hospital Rigshospitalet, 2100 Copenhagen, Denmark
| | - Michael Christiansen
- Department for Congenital Disorders, Statens Serum Institut, 2300 Copenhagen, Denmark
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- Correspondence: ; Tel.: +45-326-836-57; Fax: +45-326-838-78
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Antoniou MC, Quansah DY, Mühlberg S, Gilbert L, Arhab A, Schenk S, Lacroix A, Stuijfzand B, Horsch A, Puder JJ. Maternal and fetal predictors of anthropometry in the first year of life in offspring of women with GDM. Front Endocrinol (Lausanne) 2023; 14:1144195. [PMID: 37056671 PMCID: PMC10086315 DOI: 10.3389/fendo.2023.1144195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/13/2023] [Indexed: 03/30/2023] Open
Abstract
INTRODUCTION Gestational Diabetes Mellitus (GDM) carries an increased risk for adverse perinatal and longer-term cardiometabolic consequences in offspring. This study evaluated the utility of maternal anthropometric, metabolic and fetal (cord blood) parameters to predict offspring anthropometry up to 1 year in pregnancies with GDM. MATERIALS AND METHODS In this prospective analysis of the MySweetheart study, we included 193/211 women with GDM that were followed up to 1 year postpartum. Maternal predictors included anthropometric (pre-pregnancy BMI, gestational weight gain (GWG), weight and fat mass at the 1st GDM visit), and metabolic parameters (fasting insulin and glucose, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), Quantitative insulin-sensitivity check index (QUICKI), HbA1c, triglycerides, and high-density lipoprotein (HDL) at the 1st visit and HbA1c at the end of pregnancy). Fetal predictors (N=46) comprised cord blood glucose and insulin, C-Peptide, HOMA-IR, triglycerides and HDL. Offspring outcomes were anthropometry at birth (weight/weight z-score, BMI, small and large for gestational age (SGA,LGA)), 6-8 weeks and 1 year (weight z-score, BMI/BMI z-score, and the sum of 4 skinfolds). RESULTS In multivariate analyses, birth anthropometry (weight, weight z-score, BMI and/or LGA), was positively associated with cord blood HDL and HbA1c at the 1st GDM visit, and negatively with maternal QUICKI and HDL at the 1st GDM visit (all p ≤ 0.045). At 6-8 weeks, offspring BMI was positively associated with GWG and cord blood insulin, whereas the sum of skinfolds was negatively associated with HDL at the 1st GDM visit (all p ≤0.023). At 1 year, weight z-score, BMI, BMI z-score, and/or the sum of skinfolds were positively associated with pre-pregnancy BMI, maternal weight, and fat mass at the 1st GDM visit and 3rd trimester HbA1c (all p ≤ 0.043). BMI z-score and/or the sum of skinfolds were negatively associated with cord blood C-peptide, insulin and HOMA-IR (all p ≤0.041). DISCUSSION Maternal anthropometric, metabolic, and fetal metabolic parameters independently affected offspring anthropometry during the 1st year of life in an age-dependent manner. These results show the complexity of pathophysiological mechanism for the developing offspring and could represent a base for future personalized follow-up of women with GDM and their offspring.
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Affiliation(s)
- Maria-Christina Antoniou
- Unit of Pediatric Endocrinology and Diabetology, Pediatric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Dan Yedu Quansah
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Suzanne Mühlberg
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Leah Gilbert
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Amar Arhab
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Sybille Schenk
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Alain Lacroix
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Bobby Stuijfzand
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Antje Horsch
- Institute of Higher Education and Research in Healthcare (IUFRS), University of Lausanne, Lausanne, Switzerland
- Neonatology Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
| | - Jardena Jacqueline Puder
- Obstetric Service, Woman-Mother-Child Department, Lausanne University Hospital, Lausanne, Switzerland
- *Correspondence: Jardena Jacqueline Puder,
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Strain J, Spaans F, Serhan M, Davidge ST, Connor KL. Programming of weight and obesity across the lifecourse by the maternal metabolic exposome: A systematic review. Mol Aspects Med 2021; 87:100986. [PMID: 34167845 DOI: 10.1016/j.mam.2021.100986] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 05/14/2021] [Accepted: 06/07/2021] [Indexed: 12/11/2022]
Abstract
Exposome research aims to comprehensively understand the multiple environmental exposures that influence human health. To date, much of exposome science has focused on environmental chemical exposures and does not take a lifecourse approach. The rising prevalence of obesity, and the limited success in its prevention points to the need for a better understanding of the diverse exposures that associate with, or protect against, this condition, and the mechanisms driving its pathogenesis. The objectives of this review were to 1. evaluate the evidence on the maternal metabolic exposome in the programming of offspring growth/obesity and 2. identify and discuss the mechanisms underlying the programming of obesity. A systematic review was conducted following PRISMA guidelines to capture articles that investigated early life metabolic exposures and offspring weight and/or obesity outcomes. Scientific databases were searched using pre-determined indexed search terms, and risk of bias assessments were conducted to determine study quality. A final total of 76 articles were obtained and extracted data from human and animal studies were visualised using GOfER diagrams. Multiple early life exposures, including maternal obesity, diabetes and adverse nutrition, increase the risk of high weight at birth and postnatally, and excess adipose accumulation in human and animal offspring. The main mechanisms through which the metabolic exposome programmes offspring growth and obesity risk include epigenetic modifications, altered placental function, altered composition of the gut microbiome and breast milk, and metabolic inflammation, with downstream effects on development of the central appetite system, adipose tissues and liver. Understanding early life risks and protectors, and the mechanisms through which the exposome modifies health trajectories, is critical for developing and applying early interventions to prevent offspring obesity later in life.
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Affiliation(s)
- Jamie Strain
- Department of Health Sciences, Carleton University, Ottawa, ON, Canada
| | - Floor Spaans
- Department of Obstetrics and Gynaecology, University of Alberta, Edmonton, AB, Canada; Women and Children's Health Research Institute, University of Alberta, Edmonton, AB, Canada
| | - Mohamed Serhan
- Department of Health Sciences, Carleton University, Ottawa, ON, Canada
| | - Sandra T Davidge
- Department of Obstetrics and Gynaecology, University of Alberta, Edmonton, AB, Canada; Department of Physiology, University of Alberta, Edmonton, AB, Canada; Women and Children's Health Research Institute, University of Alberta, Edmonton, AB, Canada
| | - Kristin L Connor
- Department of Health Sciences, Carleton University, Ottawa, ON, Canada.
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Anthropometry-based prediction of body fat in infants from birth to 6 months: the Baby-bod study. Eur J Clin Nutr 2020; 75:715-723. [PMID: 33057177 DOI: 10.1038/s41430-020-00768-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 08/09/2020] [Accepted: 09/22/2020] [Indexed: 11/08/2022]
Abstract
BACKGROUND/OBJECTIVES Prediction equations generated from anthropometric measures are frequently used to quantify paediatric body composition. We tested the agreeability and predictive power of select (Lingwood and Aris) fat mass prediction equations against body fat measured via ADP; and generated and evaluated new anthropometry-based models for use in the first 6 months of life. SUBJECTS/METHODS Data were obtained from 278 white European Australian infants at birth, 3 and 6 months. Prediction models (i.e. Baby-bod models) were generated for each time point via stepwise linear regression and compared for agreeability with ADP via limits of agreement, mean difference and total bias in Bland-Altman analyses. Predictive power of all equations in comparison to ADP were assessed using linear regression analysis. RESULTS Overall, there was poor agreeability between percent body fat predicted via published equations and ADP. Proportional bias was detected for both methods (i.e. published equations and Baby-bod models) of body fat prediction. At birth, both Lingwood and BB0 equations overestimated percent body fat at the lower end of the FM spectrum. This trend was repeated at 3 months with all equations displaying a propensity to overestimate body fat at lower FM levels and underestimate at higher FM levels. CONCLUSIONS The results indicate that anthropometry, although less costly and relatively easier to implement, does not always produce comparable results with objective measures such as ADP. Given the importance of the accurate assessment of physical growth, including body composition in early life, it is timely to recommend the increased utilisation of techniques such as ADP.
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Meyer DM, Brei C, Bader BL, Hauner H. Evaluation of Maternal Dietary n-3 LCPUFA Supplementation as a Primary Strategy to Reduce Offspring Obesity: Lessons From the INFAT Trial and Implications for Future Research. Front Nutr 2020; 7:156. [PMID: 33043038 PMCID: PMC7522594 DOI: 10.3389/fnut.2020.00156] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 08/04/2020] [Indexed: 12/25/2022] Open
Abstract
Preclinical research suggests that early exposure to LCPUFAs is associated with offspring health outcomes, although evidence in humans is rather unclear. In 2006, we established the Impact of Nutritional Fatty acids during pregnancy and lactation on early human Adipose Tissue development (INFAT) study, a prospective randomized controlled intervention trial that examined whether decreasing the n-6/n-3 LCPUFA ratio during pregnancy and lactation influences offspring adipose tissue development in children up to 5 years. Our results indicate that maternal supplementation with n-3 LCPUFAs does not reduce offspring obesity risk, which is in line with recent publications. This perspective describes the challenges and lessons learned from our clinical trial. We discuss key findings and critically evaluate differences in study design, methodology, and analyses across similar intervention trials that may partly explain heterogeneous results. Summarizing evidence from human trials, we conclude that n-3 LCPUFA supplementation should not be recommended as a primordial strategy to prevent childhood obesity. Instead, it remains unknown whether n-3 LCPUFA supplementation could benefit high-risk subgroups and some vulnerable maternal/child populations. The perspectives offered herein are derived largely from insights gained from ours and similar n-3 LCPUFA intervention trials and help to provide direction for future research that examines the impact of maternal nutritional exposure on offspring health and disease outcomes.
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Affiliation(s)
- Dorothy Marie Meyer
- Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christina Brei
- Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany
| | - Bernhard Lorenz Bader
- ZIEL-Institute for Food and Health, Freising, Germany.,Else Kröner-Fresenius-Center for Nutritional Medicine, Technical University of Munich School of Life Sciences Weihenstephan, Freising, Germany
| | - Hans Hauner
- Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.,ZIEL-Institute for Food and Health, Freising, Germany.,Else Kröner-Fresenius-Center for Nutritional Medicine, Technical University of Munich School of Life Sciences Weihenstephan, Freising, Germany
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Placental function in maternal obesity. Clin Sci (Lond) 2020; 134:961-984. [PMID: 32313958 DOI: 10.1042/cs20190266] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 04/07/2020] [Accepted: 04/08/2020] [Indexed: 02/06/2023]
Abstract
Maternal obesity is associated with pregnancy complications and increases the risk for the infant to develop obesity, diabetes and cardiovascular disease later in life. However, the mechanisms linking the maternal obesogenic environment to adverse short- and long-term outcomes remain poorly understood. As compared with pregnant women with normal BMI, women entering pregnancy obese have more pronounced insulin resistance, higher circulating plasma insulin, leptin, IGF-1, lipids and possibly proinflammatory cytokines and lower plasma adiponectin. Importantly, the changes in maternal levels of nutrients, growth factors and hormones in maternal obesity modulate placental function. For example, high insulin, leptin, IGF-1 and low adiponectin in obese pregnant women activate mTOR signaling in the placenta, promoting protein synthesis, mitochondrial function and nutrient transport. These changes are believed to increase fetal nutrient supply and contribute to fetal overgrowth and/or adiposity in offspring, which increases the risk to develop disease later in life. However, the majority of obese women give birth to normal weight infants and these pregnancies are also associated with activation of inflammatory signaling pathways, oxidative stress, decreased oxidative phosphorylation and lipid accumulation in the placenta. Recent bioinformatics approaches have expanded our understanding of how maternal obesity affects the placenta; however, the link between changes in placental function and adverse outcomes in obese women giving birth to normal sized infants is unclear. Interventions that specifically target placental function, such as activation of placental adiponectin receptors, may prevent the transmission of metabolic disease from obese women to the next generation.
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Prentice PM, Olga L, Petry CJ, Simmons D, Murphy HR, Hughes IA, Acerini CL, Ong KK, Dunger DB. Reduced size at birth and persisting reductions in adiposity in recent, compared with earlier, cohorts of infants born to mothers with gestational diabetes mellitus. Diabetologia 2019; 62:1977-1987. [PMID: 31396660 PMCID: PMC6805804 DOI: 10.1007/s00125-019-4970-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 06/27/2019] [Indexed: 02/06/2023]
Abstract
AIMS/HYPOTHESIS This study aimed to explore the infancy growth trajectories of 'recent' and 'earlier' offspring of mothers with gestational diabetes mellitus (OGDM), each compared with the same control infants, and investigate whether 'recent' OGDM still exhibit a classical phenotype, with macrosomia and increased adiposity. METHODS Within a prospective observational birth cohort, 98 'earlier' OGDM born between 2001 and 2009 were identified using 75 g oral glucose tolerance testing at 28 weeks gestation, 122 recent OGDM born between 2011 and 2013 were recruited postnatally through antenatal diabetes clinics, and 876 normal birthweight infants of mothers with no history of diabetes were recruited across the full study period as the control group. All infants followed the same study protocol (measurements at birth, 3, 12 and 24 months, including weight, length and skinfold thickness indicating adiposity, and detailed demographic data). In all cases, GDM was defined using the International Association of Diabetes and Pregnancy Study Group criteria. RESULTS Earlier OGDM had higher birthweight SD scores (SDS) than control infants. Conversely, recent OGDM had similar birthweight- and length SDS to control infants (mean ± SD, 0.1 ± 1.0 and- 0.1 ± 0.9, respectively), but lower mean skinfold thickness SDS (-0.4 ± 0.6 vs 0.0 ± 0.9; p < 0.001). After birth, earlier OGDM showed reduced gains in weight and length between 3 and 12 months. In contrast, recent OGDM had increased weight and skinfold thickness gains until 3 months, followed by reduced gains in those variables from 3 to 12 months, compared with control infants. At 24 months, recent OGDM had lower adiposity than control infants (mean skinfold thickness SDS -0.3 ± 0.7 vs 0.0 ± 0.8; p < 0.001). At all time points recent OGDM had lower growth measurements than earlier OGDM. CONCLUSIONS/INTERPRETATION Recent OGDM showed different growth trajectories to the earlier group, namely normalisation of birthweight and reduced adiposity at birth, followed by initial rapid weight gain but subsequent reduced adiposity postnatally. While avoidance of macrosomia at birth may be advantageous, the longer-term health implications of these changing growth trajectories are uncertain.
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Affiliation(s)
- Philippa M Prentice
- Department of Paediatrics, University of Cambridge, Box 116, Level 8, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, UK
| | - Laurentya Olga
- Department of Paediatrics, University of Cambridge, Box 116, Level 8, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Clive J Petry
- Department of Paediatrics, University of Cambridge, Box 116, Level 8, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - David Simmons
- Wolfson Diabetes and Endocrine Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Macarthur Clinical School, Western Sydney University, Sydney, NSW, Australia
| | - Helen R Murphy
- Wolfson Diabetes and Endocrine Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Diabetes and Endocrinology, Norfolk and Norwich University Hospital, Norwich, UK
- Women's Health Academic Centre, Division of Women's and Children's Health, King's College London, London, UK
| | - Ieuan A Hughes
- Department of Paediatrics, University of Cambridge, Box 116, Level 8, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Carlo L Acerini
- Department of Paediatrics, University of Cambridge, Box 116, Level 8, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Ken K Ong
- Department of Paediatrics, University of Cambridge, Box 116, Level 8, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- MRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, UK
- Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - David B Dunger
- Department of Paediatrics, University of Cambridge, Box 116, Level 8, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
- Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
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11
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Switkowski KM, Camargo, CA, Perron P, Rifas-Shiman SL, Oken E, Hivert MF. Cord blood vitamin D status is associated with cord blood insulin and c-peptide in two cohorts of mother-newborn pairs. J Clin Endocrinol Metab 2019; 104:3785-3794. [PMID: 31127822 PMCID: PMC6656419 DOI: 10.1210/jc.2018-02550] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 04/17/2019] [Indexed: 01/12/2023]
Abstract
CONTEXT Vitamin D may be important for prenatal programming of insulin and glucose regulation, but maternal vitamin D deficiency during pregnancy is common. OBJECTIVE We examined associations of early vitamin D status with markers of fetal insulin secretion (cord blood insulin and c-peptide). We hypothesized that maternal 25-hydroxyvitamin D (25(OH)D) during pregnancy and cord blood 25(OH)D would both be positively associated with cord blood insulin and c-peptide. METHODS We studied mother-newborn pairs from two cohorts: Project Viva (862 pairs included) and Genetics of Glucose Regulation in Gestation and Growth (Gen3G, 660 pairs included). We analyzed associations of the cord blood hormones with maternal 25(OH)D using generalized additive models with nonlinear spline terms and with cord blood 25(OH)D using multivariable linear regression models. RESULTS 25(OH)D levels were <75 nmol/L in over 70% of mothers and 85% of newborns. Maternal and cord blood 25(OH)D levels were correlated: r=0.58 in Project Viva and 0.37 in Gen3G. Maternal 25(OH)D had an inverted U-shaped relationship with cord blood insulin and c-peptide in both cohorts. Cord blood 25(OH)D had a linear relationship with the cord blood hormones. In fully adjusted models, each 10-nmol/L increase in cord blood 25(OH)D was associated with higher cord blood insulin and c-peptide concentrations: 3.7% (95% CI: (0.09, 7.5) and 3.2% (95% CI: 0.8, 5.6), respectively in Project Viva; 2.2% (95% CI: -0.1, 4.6) and 3.6% (95% CI: 1.0, 6.3), respectively in Gen3G. CONCLUSIONS Vitamin D may play a role in regulating fetal insulin secretion, potentially impacting glucose regulation and growth.
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Affiliation(s)
- Karen M Switkowski
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Correspondence and Reprint Requests: Karen M. Switkowski, PhD, Department of Population Medicine, Harvard Medical School and the Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Drive, Suite 401 E, Boston, Massachusetts 02215. E-mail:
| | - Carlos A Camargo,
- Emergency Medicine Network, Massachusetts General Hospital, Boston, Massachusetts
| | - Patrice Perron
- Division of Endocrinology, Department of Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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Gu Y, Lu J, Li W, Liu H, Wang L, Leng J, Li W, Zhang S, Wang S, Tuomilehto J, Yu Z, Yang X, Baccarelli AA, Hou L, Hu G. Joint Associations of Maternal Gestational Diabetes and Hypertensive Disorders of Pregnancy With Overweight in Offspring. Front Endocrinol (Lausanne) 2019; 10:645. [PMID: 31616376 PMCID: PMC6763696 DOI: 10.3389/fendo.2019.00645] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 09/05/2019] [Indexed: 01/09/2023] Open
Abstract
Objectives: Either maternal gestational diabetes mellitus (GDM) or hypertensive disorder of pregnancy (HDP) is associated with an increased risk of obesity in the offspring. However, their joint associations with obesity in offspring remain unclear. We investigated the joint associations of maternal GDM and HDP with childhood overweight in offspring. Methods: We performed a large study in 1967 mother-child pairs. Maternal GDM was diagnosed according to the 1999 World Health Organization (WHO) criteria. HDP was defined as self-reported doctor-diagnosed hypertension or treatment of hypertension (including gestational hypertension, preeclampsia, sever preeclampsia or eclampsia) after 20 weeks of gestation on the questionnaire. Body mass index (BMI) for age Z-score and childhood overweight were evaluated according to WHO growth reference. We used the general linear models to compare children's Z score for BMI and logistic regression models to estimate odds ratios of childhood overweight according to maternal different status of GDM and HDP. Results: Offspring of mothers with both GDM and HDP had a higher BMI for age Z-score (0.63 vs. 0.03, P < 0.001) than children born to normotensive and normoglycemic pregnancy. After adjustment for maternal and children's major confounding factors, joint GDM and HDP were associated with increased odds ratios of offspring's overweight compared with normotensive and normoglycemic pregnancy (2.97, 95% confidence intervals [CIs] 1.65-5.34) and GDM alone (2.06, 95% CIs 1.20-3.54), respectively. After additional adjustment for maternal pre-pregnancy BMI and gestational weight gain, joint maternal GDM, and HDP was still associated with an increased risk of offspring's overweight compared with the maternal normotensive, and normoglycemic group but became to have a borderline increased risk compared with the maternal GDM alone group. Conclusions: Maternal GDM alone or joint GDM and HDP were associated with increased ratios of offspring's overweight.
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Affiliation(s)
- Yuying Gu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, United States
- Shanghai Business School, Shanghai, China
| | - Jun Lu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, United States
- Department of Endocrinology and Metabolism, Fengxian Hospital of Southern Medical University, Shanghai, China
| | - Weiqin Li
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Huikun Liu
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Leishen Wang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Junhong Leng
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Wei Li
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Shuang Zhang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Shuting Wang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Jaakko Tuomilehto
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Zhijie Yu
- Population Cancer Research Program, Dalhousie University, Halifax, NS, Canada
| | - Xilin Yang
- Department of Epidemiology, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, United States
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, United States
- *Correspondence: Gang Hu
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13
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Middleton P, Gomersall JC, Gould JF, Shepherd E, Olsen SF, Makrides M. Omega-3 fatty acid addition during pregnancy. Cochrane Database Syst Rev 2018; 11:CD003402. [PMID: 30480773 PMCID: PMC6516961 DOI: 10.1002/14651858.cd003402.pub3] [Citation(s) in RCA: 134] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Higher intakes of foods containing omega-3 long-chain polyunsaturated fatty acids (LCPUFA), such as fish, during pregnancy have been associated with longer gestations and improved perinatal outcomes. This is an update of a review that was first published in 2006. OBJECTIVES To assess the effects of omega-3 LCPUFA, as supplements or as dietary additions, during pregnancy on maternal, perinatal, and neonatal outcomes and longer-term outcomes for mother and child. SEARCH METHODS For this update, we searched Cochrane Pregnancy and Childbirth's Trials Register, ClinicalTrials.gov, the WHO International Clinical Trials Registry Platform (ICTRP) (16 August 2018), and reference lists of retrieved studies. SELECTION CRITERIA Randomised controlled trials (RCTs) comparing omega-3 fatty acids (as supplements or as foods, stand-alone interventions, or with a co-intervention) during pregnancy with placebo or no omega-3, and studies or study arms directly comparing omega-3 LCPUFA doses or types. Trials published in abstract form were eligible for inclusion. DATA COLLECTION AND ANALYSIS Two review authors independently assessed study eligibility, extracted data, assessed risk of bias in trials and assessed quality of evidence for prespecified birth/infant, maternal, child/adult and health service outcomes using the GRADE approach. MAIN RESULTS In this update, we included 70 RCTs (involving 19,927 women at low, mixed or high risk of poor pregnancy outcomes) which compared omega-3 LCPUFA interventions (supplements and food) compared with placebo or no omega-3. Overall study-level risk of bias was mixed, with selection and performance bias mostly at low risk, but there was high risk of attrition bias in some trials. Most trials were conducted in upper-middle or high-income countries; and nearly half the trials included women at increased/high risk for factors which might increase the risk of adverse maternal and birth outcomes.Preterm birth < 37 weeks (13.4% versus 11.9%; risk ratio (RR) 0.89, 95% confidence interval (CI) 0.81 to 0.97; 26 RCTs, 10,304 participants; high-quality evidence) and early preterm birth < 34 weeks (4.6% versus 2.7%; RR 0.58, 95% CI 0.44 to 0.77; 9 RCTs, 5204 participants; high-quality evidence) were both lower in women who received omega-3 LCPUFA compared with no omega-3. Prolonged gestation > 42 weeks was probably increased from 1.6% to 2.6% in women who received omega-3 LCPUFA compared with no omega-3 (RR 1.61 95% CI 1.11 to 2.33; 5141 participants; 6 RCTs; moderate-quality evidence).For infants, there was a possibly reduced risk of perinatal death (RR 0.75, 95% CI 0.54 to 1.03; 10 RCTs, 7416 participants; moderate-quality evidence: 62/3715 versus 83/3701 infants) and possibly fewer neonatal care admissions (RR 0.92, 95% CI 0.83 to 1.03; 9 RCTs, 6920 participants; moderate-quality evidence - 483/3475 infants versus 519/3445 infants). There was a reduced risk of low birthweight (LBW) babies (15.6% versus 14%; RR 0.90, 95% CI 0.82 to 0.99; 15 trials, 8449 participants; high-quality evidence); but a possible small increase in large-for-gestational age (LGA) babies (RR 1.15, 95% CI 0.97 to 1.36; 6 RCTs, 3722 participants; moderate-quality evidence, for omega-3 LCPUFA compared with no omega-3. Little or no difference in small-for-gestational age or intrauterine growth restriction (RR 1.01, 95% CI 0.90 to 1.13; 8 RCTs, 6907 participants; moderate-quality evidence) was seen.For the maternal outcomes, there is insufficient evidence to determine the effects of omega-3 on induction post-term (average RR 0.82, 95% CI 0.22 to 2.98; 3 trials, 2900 participants; low-quality evidence), maternal serious adverse events (RR 1.04, 95% CI 0.40 to 2.72; 2 trials, 2690 participants; low-quality evidence), maternal admission to intensive care (RR 0.56, 95% CI 0.12 to 2.63; 2 trials, 2458 participants; low-quality evidence), or postnatal depression (average RR 0.99, 95% CI 0.56 to 1.77; 2 trials, 2431 participants; low-quality evidence). Mean gestational length was greater in women who received omega-3 LCPUFA (mean difference (MD) 1.67 days, 95% CI 0.95 to 2.39; 41 trials, 12,517 participants; moderate-quality evidence), and pre-eclampsia may possibly be reduced with omega-3 LCPUFA (RR 0.84, 95% CI 0.69 to 1.01; 20 trials, 8306 participants; low-quality evidence).For the child/adult outcomes, very few differences between antenatal omega-3 LCPUFA supplementation and no omega-3 were observed in cognition, IQ, vision, other neurodevelopment and growth outcomes, language and behaviour (mostly low-quality to very low-quality evidence). The effect of omega-3 LCPUFA on body mass index at 19 years (MD 0, 95% CI -0.83 to 0.83; 1 trial, 243 participants; very low-quality evidence) was uncertain. No data were reported for development of diabetes in the children of study participants. AUTHORS' CONCLUSIONS In the overall analysis, preterm birth < 37 weeks and early preterm birth < 34 weeks were reduced in women receiving omega-3 LCPUFA compared with no omega-3. There was a possibly reduced risk of perinatal death and of neonatal care admission, a reduced risk of LBW babies; and possibly a small increased risk of LGA babies with omega-3 LCPUFA.For our GRADE quality assessments, we assessed most of the important perinatal outcomes as high-quality (e.g. preterm birth) or moderate-quality evidence (e.g. perinatal death). For the other outcome domains (maternal, child/adult and health service outcomes) GRADE ratings ranged from moderate to very low, with over half rated as low. Reasons for downgrading across the domain were mostly due to design limitations and imprecision.Omega-3 LCPUFA supplementation during pregnancy is an effective strategy for reducing the incidence of preterm birth, although it probably increases the incidence of post-term pregnancies. More studies comparing omega-3 LCPUFA and placebo (to establish causality in relation to preterm birth) are not needed at this stage. A further 23 ongoing trials are still to report on over 5000 women, so no more RCTs are needed that compare omega-3 LCPUFA against placebo or no intervention. However, further follow-up of completed trials is needed to assess longer-term outcomes for mother and child, to improve understanding of metabolic, growth and neurodevelopment pathways in particular, and to establish if, and how, outcomes vary by different types of omega-3 LCPUFA, timing and doses; or by characteristics of women.
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Affiliation(s)
- Philippa Middleton
- Healthy Mothers, Babies and Children, South Australian Health and Medical Research InstituteWomen's and Children's Hospital72 King William RoadAdelaideSouth AustraliaAustralia5006
| | - Judith C Gomersall
- Healthy Mothers, Babies and Children, South Australian Health and Medical Research InstituteWomen's and Children's Hospital72 King William RoadAdelaideSouth AustraliaAustralia5006
| | - Jacqueline F Gould
- The University of AdelaideSchool of PsychologyNorth Terrace, AdelaideAdelaideSouth AustraliaAustralia5001
| | - Emily Shepherd
- The University of AdelaideARCH: Australian Research Centre for Health of Women and Babies, Robinson Research Institute, Discipline of Obstetrics and GynaecologyAdelaideSouth AustraliaAustralia5006
| | - Sjurdur F Olsen
- Statens Serum InstitutCentre for Fetal Programming, Department of EpidemiologyCopenhagenDenmark
| | - Maria Makrides
- Healthy Mothers, Babies and Children, South Australian Health and Medical Research InstituteWomen's and Children's Hospital72 King William RoadAdelaideSouth AustraliaAustralia5006
- The University of AdelaideSchool of Paediatrics and Reproductive HealthAdelaideAustraliaAustralia
- Women's and Children's Health Research InstituteNorth AdelaideAustralia
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Meyer DM, Brei C, Stecher L, Brunner S, Hauner H. Maternal insulin resistance, triglycerides and cord blood insulin are not determinants of offspring growth and adiposity up to 5 years: a follow-up study. Diabet Med 2018; 35:1399-1403. [PMID: 29938825 DOI: 10.1111/dme.13765] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/20/2018] [Indexed: 12/14/2022]
Abstract
AIMS Metabolic dysregulation in utero may influence fetal metabolism and early growth. We previously investigated relationships between maternal indices of glucose homeostasis and triglycerides as well as cord blood insulin with offspring anthropometry up to 2 years. The aim of this analysis was to follow these relationships up to the age of 5 years. METHODS Associations between maternal metabolic variables of glucose and lipid metabolism measured at 32 weeks' gestation and cord blood insulin with growth and body composition of 162 offspring aged 3-5 years were explored. Both indirect (i.e. body weight, BMI percentiles, sum of four skinfold thicknesses) and direct (i.e. ultrasonography, magnetic resonance imaging in a subgroup) measurement techniques were employed. RESULTS Maternal metabolic indices were largely unrelated to child body composition. Cord blood insulin was negatively associated with fat mass and lean body mass at 3 years in unadjusted analyses, and the sum of four skinfold thicknesses and body fat percentage in adjusted analyses, whereas the association with lean body mass was no longer observed. An inverse relationship between cord blood insulin and weight gain up to 5 years was observed in girls only with small effect sizes. CONCLUSIONS Results from this follow-up do not provide convincing evidence that these markers are independently related to offspring growth and adiposity in early childhood. Although cord blood insulin was weakly inversely related to weight gain in girls at 5 years, we cannot conclude that the observed changes in outcomes are clinically meaningful. (Clinical Trials Registry No: NCT00362089).
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Affiliation(s)
- D M Meyer
- Else Kröner-Fresenius-Center for Nutritional Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - C Brei
- Else Kröner-Fresenius-Center for Nutritional Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - L Stecher
- Else Kröner-Fresenius-Center for Nutritional Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - S Brunner
- Else Kröner-Fresenius-Center for Nutritional Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - H Hauner
- Else Kröner-Fresenius-Center for Nutritional Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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15
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Vahdaninia M, Mackenzie H, Dean T, Helps S. The effectiveness of ω-3 polyunsaturated fatty acid interventions during pregnancy on obesity measures in the offspring: an up-to-date systematic review and meta-analysis. Eur J Nutr 2018; 58:2597-2613. [PMID: 30251019 PMCID: PMC6769093 DOI: 10.1007/s00394-018-1824-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 09/18/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND The potential role of ω-3 long chain polyunsaturated fatty acid (LCPUFA) supplementation during pregnancy on subsequent risk of obesity outcomes in the offspring is not clear and there is a need to synthesise this evidence. OBJECTIVE A systematic review and meta-analysis of randomised controlled trials (RCTs), including the most recent studies, was conducted to assess the effectiveness of ω-3 LCPUFA interventions during pregnancy on obesity measures, e.g. BMI, body weight, fat mass in offspring. METHODS Included RCTs had a minimum of 1-month follow-up post-partum. The search included CENTRAL, MEDLINE, SCOPUS, WHO's International Clinical Trials Reg., E-theses and Web of Science databases. Study quality was evaluated using the Cochrane Collaboration's risk of bias tool. RESULTS Eleven RCTs, from ten unique trials, (3644 children) examined the effectiveness of ω-3 LCPUFA maternal supplementation during pregnancy on the development of obesity outcomes in offspring. There were heterogeneities between the trials in terms of their sample, type and duration of intervention and follow-up. Pooled estimates did not show an association between prenatal intake of fatty acids and obesity measures in offspring. CONCLUSION These results indicate that maternal supplementation with ω-3 LCPUFA during pregnancy does not have a beneficial effect on obesity risk. Due to the high heterogeneity between studies along with small sample sizes and high rates of attrition, the effects of ω-3 LCPUFA supplementation during pregnancy for prevention of childhood obesity in the long-term remains unclear. Large high-quality RCTs are needed that are designed specifically to examine the effect of prenatal intake of fatty acids for prevention of childhood obesity. There is also a need to determine specific sub-groups in the population that might get a greater benefit and whether different ω-3 LCPUFA, i.e. eicosapentaenoic (EPA) vs. docosahexanoic (DHA) acids might potentially have different effects.
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Affiliation(s)
- Mariam Vahdaninia
- School of Health Sciences and Social Work (SHSSW), University of Portsmouth, James Watson West, 2 King Richard 1st Road, Portsmouth, PO1 2FR, UK. .,Faculty of Health and Social Sciences, Bournemouth University, Poole, UK.
| | - H Mackenzie
- School of Health Sciences and Social Work (SHSSW), University of Portsmouth, James Watson West, 2 King Richard 1st Road, Portsmouth, PO1 2FR, UK
| | - T Dean
- School of Health Sciences and Social Work (SHSSW), University of Portsmouth, James Watson West, 2 King Richard 1st Road, Portsmouth, PO1 2FR, UK.,Research and Enterprise, University of Brighton, Brighton, UK
| | - S Helps
- School of Health Sciences and Social Work (SHSSW), University of Portsmouth, James Watson West, 2 King Richard 1st Road, Portsmouth, PO1 2FR, UK
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16
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Wang J, Moore D, Subramanian A, Cheng KK, Toulis KA, Qiu X, Saravanan P, Price MJ, Nirantharakumar K. Gestational dyslipidaemia and adverse birthweight outcomes: a systematic review and meta-analysis. Obes Rev 2018; 19:1256-1268. [PMID: 29786159 DOI: 10.1111/obr.12693] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 01/30/2018] [Accepted: 02/26/2018] [Indexed: 12/15/2022]
Abstract
BACKGROUND Low and high birthweight is known to increase the risk of acute and longer-term adverse outcomes, such as stillbirth, infant mortality, obesity, type 2 diabetes and cardiovascular diseases. Gestational dyslipidaemia is associated with a numbers of adverse birth outcomes, but evidence regarding birthweight is still inconsistent to reliably inform clinical practice and treatment recommendations. OBJECTIVE The aim of this study was to explore the relationship between maternal gestational dyslipidaemia and neonatal health outcomes, namely, birthweight, metabolic factors and inflammatory parameters. METHODS We searched systematically Embase, MEDLINE, PubMed, CINAHL Plus and Cochrane Library up to 1 August 2016 (with an updated search in MEDLINE at the end of July 2017) for longitudinal studies that assessed the association of maternal lipid levels during pregnancy with neonatal birthweight, or metabolic and inflammatory parameters up to 3 years old. RESULTS Data from 46 publications including 31,402 pregnancies suggest that maternal high triglycerides and low high-density-lipoprotein cholesterol levels throughout pregnancy are associated with increased birthweight, higher risk of large for gestational age and macrosomia and lower risk of small-for-gestational age. The findings were consistent across the studied populations, but stronger associations were observed in women who were overweight or obese prior to pregnancy. CONCLUSIONS This meta-analysis suggested that the potential under-recognized adverse effects of intrauterine exposure to maternal dyslipidaemia may warrant further investigation into the relationship between maternal dyslipidaemia and birthweight in large prospective cohorts or in randomized trials.
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Affiliation(s)
- J Wang
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China.,Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - D Moore
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - A Subramanian
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - K K Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - K A Toulis
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - X Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China
| | - P Saravanan
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - M J Price
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - K Nirantharakumar
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
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17
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Cauble JS, Dewi M, Hull HR. Validity of anthropometric equations to estimate infant fat mass at birth and in early infancy. BMC Pediatr 2017; 17:88. [PMID: 28347278 PMCID: PMC5368988 DOI: 10.1186/s12887-017-0844-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Accepted: 03/21/2017] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND In newborns and children, body fat estimation equations are often used at different ages than the age used to develop the equations. Limited validation studies exist for newborn body fat estimation equations at birth or later in infancy. The study purpose was to validate 4 newborn fat mass (FM) estimation equations in comparison to FM measured by air displacement plethysmography (ADP; the Pea Pod) at birth and 3 months. METHODS Ninety-five newborns (1-3 days) had their body composition measured by ADP and anthropometrics assessed by skinfolds. Sixty-three infants had repeat measures taken (3 months). FM measured by ADP was compared to FM from the skinfold estimation equations (Deierlein, Catalano, Lingwood, and Aris). Paired t-tests assessed mean differences, linear regression assessed accuracy, precision was assessed by R2 and standard error of the estimate (SEE), and bias was assessed by Bland-Altman plots. RESULTS At birth, FM measured by ADP differed from FM estimated by Deierlein, Lingwood and Aris equations, but did not differ from the Catalano equation. At 3 months, FM measured by ADP was different from all equations. At both time points, poor precision and accuracy was detected. Bias was detected in most all equations. CONCLUSIONS Poor agreement, precision, and accuracy were found between prediction equations and the criterion at birth and 3 months.
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Affiliation(s)
- Jennifer S Cauble
- Department of Dietetics and Nutrition, School of Health Professions, University of Kansas Medical Center, 3901 Rainbow BLVD, Mail Stop 4013, Kansas City, KS, 66160, USA
| | - Mira Dewi
- Department of Dietetics and Nutrition, School of Health Professions, University of Kansas Medical Center, 3901 Rainbow BLVD, Mail Stop 4013, Kansas City, KS, 66160, USA
| | - Holly R Hull
- Department of Dietetics and Nutrition, School of Health Professions, University of Kansas Medical Center, 3901 Rainbow BLVD, Mail Stop 4013, Kansas City, KS, 66160, USA.
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18
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Logan KM, Gale C, Hyde MJ, Santhakumaran S, Modi N. Diabetes in pregnancy and infant adiposity: systematic review and meta-analysis. Arch Dis Child Fetal Neonatal Ed 2017; 102:F65-F72. [PMID: 27231266 PMCID: PMC5256410 DOI: 10.1136/archdischild-2015-309750] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Revised: 04/01/2016] [Accepted: 04/25/2016] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Maternal glycaemia and anthropometry-derived newborn adiposity are strongly correlated. The children of mothers with diabetes are at greater risk of adverse metabolic health, and increased adiposity is a plausible mediator. We undertook a systematic review and meta-analysis to compare adiposity in infants of diabetic mothers (IDM) and infants of mothers without diabetes (NIDM). DESIGN We identified observational studies reporting adiposity in IDM and NIDM. We searched references, traced forward citations and contacted authors for additional data. We considered all body composition techniques and compared fat mass, fat-free mass, body fat % and skinfold thickness. We used random effects meta-analyses and performed subgroup analyses by maternal diabetes type (type 1, type 2 and gestational) and infant sex. We examined the influence of pre-pregnancy body mass index (BMI) and conducted sensitivity analyses. RESULTS We included data from 35 papers and over 24 000 infants. IDM have greater fat mass than NIDM (mean difference (95% CI)): 83 g (49 to 117). Fat mass is greater in infants of mothers with gestational diabetes: 62 g (29 to 94) and type 1 diabetes: 268 g (139 to 397). Insufficient studies reported data for type 2 diabetes separately. Compared with NIDM, fat mass was greater in IDM boys: 87 g (30 to 145), but not significantly different in IDM girls: 42 g (-33 to 116). There was no attenuation after adjustment for maternal BMI. CONCLUSIONS IDM have significantly greater adiposity in comparison with NIDM. These findings are justification for studies to determine whether measures to reduce infant adiposity will improve later health.
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Affiliation(s)
- Karen M Logan
- Section of Neonatal Medicine, Chelsea and Westminster Hospital Campus, Imperial College London, London, UK
| | - Chris Gale
- Section of Neonatal Medicine, Chelsea and Westminster Hospital Campus, Imperial College London, London, UK
| | - Matthew J Hyde
- Section of Neonatal Medicine, Chelsea and Westminster Hospital Campus, Imperial College London, London, UK
| | - Shalini Santhakumaran
- Section of Neonatal Medicine, Chelsea and Westminster Hospital Campus, Imperial College London, London, UK
| | - Neena Modi
- Section of Neonatal Medicine, Chelsea and Westminster Hospital Campus, Imperial College London, London, UK
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19
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Guzmán-Bárcenas J, Hernández JA, Arias-Martínez J, Baptista-González H, Ceballos-Reyes G, Irles C. Estimation of umbilical cord blood leptin and insulin based on anthropometric data by means of artificial neural network approach: identifying key maternal and neonatal factors. BMC Pregnancy Childbirth 2016; 16:179. [PMID: 27440187 PMCID: PMC4955136 DOI: 10.1186/s12884-016-0967-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Accepted: 07/12/2016] [Indexed: 01/07/2023] Open
Abstract
Background Leptin and insulin levels are key factors regulating fetal and neonatal energy homeostasis, development and growth. Both biomarkers are used as predictors of weight gain and obesity during infancy. There are currently no prediction algorithms for cord blood (UCB) hormone levels using Artificial Neural Networks (ANN) that have been directly trained with anthropometric maternal and neonatal data, from neonates exposed to distinct metabolic environments during pregnancy (obese with or without gestational diabetes mellitus or lean women). The aims were: 1) to develop ANN models that simulate leptin and insulin concentrations in UCB based on maternal and neonatal data (ANN perinatal model) or from only maternal data during early gestation (ANN prenatal model); 2) To evaluate the biological relevance of each parameter (maternal and neonatal anthropometric variables). Methods We collected maternal and neonatal anthropometric data (n = 49) in normoglycemic healthy lean, obese or obese with gestational diabetes mellitus women, as well as determined UCB leptin and insulin concentrations by ELISA. The ANN perinatal model consisted of an input layer of 12 variables (maternal and neonatal anthropometric and biochemical data from early gestation and at term) while the ANN prenatal model used only 6 variables (maternal anthropometric from early gestation) in the input layer. For both networks, the output layer contained 1 variable to UCB leptin or to UCB insulin concentration. Results The best architectures for the ANN perinatal models estimating leptin and insulin were 12-5-1 while for the ANN prenatal models, 6-5-1 and 6-4-1 were found for leptin and insulin, respectively. ANN models presented an excellent agreement between experimental and simulated values. Interestingly, the use of only prenatal maternal anthropometric data was sufficient to estimate UCB leptin and insulin values. Maternal BMI, weight and age as well as neonatal birth were the most influential parameters for leptin while maternal morbidity was the most significant factor for insulin prediction. Conclusions Low error percentage and short computing time makes these ANN models interesting in a translational research setting, to be applied for the prediction of neonatal leptin and insulin values from maternal anthropometric data, and possibly the on-line estimation during pregnancy. Electronic supplementary material The online version of this article (doi:10.1186/s12884-016-0967-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- José Guzmán-Bárcenas
- Department of Physiology and Cellular Development, Instituto Nacional de Perinatología Isidro Espinoza de los Reyes (INPerIER), Montes Urales 800, Lomas de Virreyes, Mexico city, C.P. 11000, Mexico
| | - José Alfredo Hernández
- Centro de Investigación en Ingeniería y Ciencias Aplicadas (CIICAp)-Universidad Autónoma del Estado de Morelos (UAEM), Cuernavaca, Morelos, Mexico
| | - Joel Arias-Martínez
- Departmento de Ciencias de la Salud-Universidad de Sonora, Campus Cajeme, Sonora, Mexico
| | - Héctor Baptista-González
- Department of Physiology and Cellular Development, Instituto Nacional de Perinatología Isidro Espinoza de los Reyes (INPerIER), Montes Urales 800, Lomas de Virreyes, Mexico city, C.P. 11000, Mexico
| | - Guillermo Ceballos-Reyes
- Laboratorio Multidisciplinario y Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City, Mexico
| | - Claudine Irles
- Department of Physiology and Cellular Development, Instituto Nacional de Perinatología Isidro Espinoza de los Reyes (INPerIER), Montes Urales 800, Lomas de Virreyes, Mexico city, C.P. 11000, Mexico.
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20
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Martin CL, Siega-Riz AM, Sotres-Alvarez D, Robinson WR, Daniels JL, Perrin EM, Stuebe AM. Maternal Dietary Patterns are Associated with Lower Levels of Cardiometabolic Markers during Pregnancy. Paediatr Perinat Epidemiol 2016; 30:246-55. [PMID: 26848932 PMCID: PMC4818661 DOI: 10.1111/ppe.12279] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Elevated levels of cardiometabolic markers are characteristic of normal pregnancy, however, insulin resistance and increased glucose, triglyceride, and cholesterol levels can adversely influence maternal and child health. Diet is a modifiable behaviour that could have significant impact on maternal cardiometabolic levels during pregnancy. We investigated the association between dietary patterns and cardiometabolic markers (glucose, insulin, insulin resistance (HOMA-IR), triglycerides, and cholesterol) during pregnancy. METHODS Data from the Pregnancy, Infection, and Nutrition prospective cohort study (2000-05) was used (n = 513). Diet was assessed using a food frequency questionnaire. Dietary patterns were derived using latent class analysis (LCA) and the Dietary Approaches to Stop Hypertension (DASH) diet. Linear regression was used to examine the dietary patterns-cardiometabolic markers association during pregnancy. RESULTS Three dietary patterns evolved from the LCA characterised by high intakes of: (1) hamburgers, hot dogs, bacon, French fries, fried chicken, white bread, and soft drinks; (2) some vegetables, fruit juice, refined grains, mixed dishes, processed meat, and empty calorie foods; and (3) fruits, vegetables, whole grains, low-fat dairy, breakfast bars, and water. After adjustment for potential confounders including prepregnancy body mass index, a diet consistent with Latent Class 3 was negatively associated with maternal insulin (μU/mL: β = -0.12; 95% CI -0.23, -0.01) and HOMA-IR (β = -0.13; 95% CI -0.25, -0.00). Additionally, DASH scores within Tertile 3 (higher dietary quality) were also negatively associated with maternal triglycerides (mg/dL). CONCLUSIONS The study findings suggest an association between maternal dietary patterns and several cardiometabolic markers during pregnancy.
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Affiliation(s)
- Chantel L. Martin
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, North Carolina, 27599
| | - Anna Maria Siega-Riz
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, North Carolina, 27599
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599
| | - Whitney R. Robinson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, North Carolina, 27599
| | - Julie L. Daniels
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, North Carolina, 27599
| | - Eliana M. Perrin
- Division of General Pediatrics and Adolescent Medicine, Department of Pediatrics, University of North Carolina, Chapel Hill, North Carolina, 27599
| | - Alison M. Stuebe
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, 27599
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21
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Ahmad A, Mysore Srikantiah R, Yadav C, Agarwal A, Ajay Manjrekar P, Hegde A. Cord Blood Insulin Levels: It's Correlation with Gender, Birth Weight and Placental Weight in Term Newborns. Indian J Clin Biochem 2016; 31:458-62. [PMID: 27605744 DOI: 10.1007/s12291-016-0550-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 01/20/2016] [Indexed: 12/22/2022]
Abstract
The cause of more insulin resistance in female than males are still unknown. To know the cause from early life, normal values of relevant parameters are required. So, aim of this study was to determine the reference levels of glucose and insulin in cord blood of term newborns and to examine their effects on gender, placental and birth weight of term newborns. In cross sectional study 60 consecutive term newborns were included from constituent hospitals. Placental and birth weights were measured and cord blood was collected for estimation of serum insulin and plasma glucose. Plasma glucose estimation was done by auto analyzer (GOD-POD method) and serum insulin analysis was done using Insulin ELISA Kit. After analysis, mean ± 2SD used for estimating cord blood insulin and glucose levels, which were 10.1 ± 7.8 μIU/mL and 67.8 ± 33.8 mg/dL respectively. Correlation of insulin with both birth weight and placental weight were r = 0.359 and 0.41 respectively; p < 0.001. Interestingly we found higher insulin levels in females as compared to male newborns in spite of having lower birth weight in them. In conclusion this study reported the levels of insulin and glucose in cord blood of term newborns. Incidentally, this is the first study as per our knowledge to report significant correlation between cord blood insulin, glucose with birth weight, placental weight and gender in south India. Female newborns had higher insulin levels than males, despite lesser birth weight can be attributed to intrinsic insulin resistance in them.
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Affiliation(s)
- Afzal Ahmad
- Department of Biochemistry, Center for Basic Sciences, Kasturba Medical College, Manipal University, Bejai, Mangalore, Karnataka 575004 India
| | - Rukmini Mysore Srikantiah
- Department of Biochemistry, Center for Basic Sciences, Kasturba Medical College, Manipal University, Bejai, Mangalore, Karnataka 575004 India
| | - Charu Yadav
- Department of Biochemistry, Center for Basic Sciences, Kasturba Medical College, Manipal University, Bejai, Mangalore, Karnataka 575004 India
| | - Ashish Agarwal
- Department of Biochemistry, Center for Basic Sciences, Kasturba Medical College, Manipal University, Bejai, Mangalore, Karnataka 575004 India
| | - Poornima Ajay Manjrekar
- Department of Biochemistry, Center for Basic Sciences, Kasturba Medical College, Manipal University, Bejai, Mangalore, Karnataka 575004 India
| | - Anupama Hegde
- Department of Biochemistry, Center for Basic Sciences, Kasturba Medical College, Manipal University, Bejai, Mangalore, Karnataka 575004 India
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22
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Uebel K, Pusch K, Gedrich K, Schneider KTM, Hauner H, Bader BL. Effect of maternal obesity with and without gestational diabetes on offspring subcutaneous and preperitoneal adipose tissue development from birth up to year-1. BMC Pregnancy Childbirth 2014; 14:138. [PMID: 24720885 PMCID: PMC4108007 DOI: 10.1186/1471-2393-14-138] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Accepted: 04/01/2014] [Indexed: 12/30/2022] Open
Abstract
Background Maternal obesity and gestational diabetes mellitus (GDM) may independently influence offspring fat mass and metabolic disease susceptibility. In this pilot study, body composition and fat distribution in offspring from obese women with and without GDM and lean women were assessed within the 1st year of life, and maternal and newborn plasma factors were related to offspring adipose tissue distribution. Methods Serum and plasma samples from pregnant obese women with (n = 16) or without (n = 13) GDM and normoglycemic lean women (n = 15) at 3rd trimester and offspring cord plasma were used for analyzing lipid profiles, insulin and adipokine levels. At week-1 and 6, month-4 and year-1, offspring anthropometrics and skinfold thickness (SFT) were measured and abdominal subcutaneous (SCA) and preperitoneal adipose tissue (PPA) were determined by ultrasonography. Results Cord insulin was significantly increased in the GDM group, whereas levels of cord leptin, total and high molecular weight (HMW) adiponectin were similar between the groups. Neonates of the GDM group showed significantly higher SFT and fat mass until week-6 and significantly increased SCA at week-1 compared to the lean group that persisted as strong trend at week-6. Interestingly, PPA in neonates of the GDM group was significantly elevated at week-1 compared to both the lean and obese group. At month-4 and year-1, significant differences in adipose tissue growth between the groups were not observed. Multiple linear regression analyses revealed that cord insulin levels are independently related to neonatal PPA that showed significant relation to PPA development at year-1. Maternal fasted C-peptide and HMW adiponectin levels at 3rd trimester emerged to be determinants for PPA at week-1. Conclusion Maternal pregravid obesity combined with GDM leads to newborn hyperinsulinemia and increased offspring fat mass until week-6, whereas pregravid obesity without GDM does not. This strongly suggests the pivotal role of GDM in the adverse offspring outcome. Maternal C-peptide and HMW adiponectin levels in pregnancy emerge to be predictive for elevated PPA in newborns and might be indicative for the obesity risk at later life. Altogether, the findings from our pilot study warrant evaluation in long-term studies. Trial registration German Clinical Trials Register DRKS00004370
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Affiliation(s)
| | | | | | | | | | - Bernhard L Bader
- PhD Graduate School 'Nutritional adaptation and epigenetic mechanisms', ZIEL - Research Center for Nutrition and Food Sciences, Technische Universität München, Freising-Weihenstephan, Germany.
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