1
|
Gong J, Xu W, Chen Y, Chen S, Wu Y, Chen Y, Li Y, He Y, Yu H, Xie L. Maternal Gestational Diabetes Mellitus and High-Fat Diet Influenced Hepatic Polyunsaturated Fatty Acids Profile in the Offspring of C57BL/6J Mice. Mol Nutr Food Res 2024; 68:e2400386. [PMID: 39246092 DOI: 10.1002/mnfr.202400386] [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] [Received: 05/23/2024] [Revised: 08/04/2024] [Indexed: 09/10/2024]
Abstract
SCOPE This research examines the effects of maternal high-fat (HF) diet and gestational diabetes mellitus (GDM) on offspring lipid metabolism and polyunsaturated fatty acids (PUFA) profile. METHODS AND RESULTS GDM is induced using the insulin receptor antagonist S961. Weaning offspring are categorized into HF-GDM, HF-CON, NC-GDM, and NC-CON groups based on maternal diet or GDM. Adult offspring are then grouped into NC-CON-NC, NC-CON-HF, NC-GDM-NC, NC-GDM-HF, HF-CON-NC, HF-CON-HF, HF-GDM-NC, and HF-GDM-HF according to dietary patterns. Gas chromatography determines PUFA composition. Western blot assesses PI3K/Akt signaling pathway-related protein expression. Feeding a normal chow diet until adulthood improves the distribution of hepatic PUFA during weaning across the four groups. PI3K expression is upregulated during weaning in HF-CON and HF-GDM, particularly in HF-CON-NC and HF-GDM-NC, compared to NC-CON-NC during adulthood. Akt expression increases in NC-GDM-NC after weaning with a normal diet. The hepatic PUFA profile in HF-CON-HF significantly distinguishes among the maternal generation health groups. Maternal HF diet exacerbates the combined impact of maternal GDM and offspring HF diet on hepatic PUFA and PI3K/Akt signaling pathway-related proteins during adulthood. CONCLUSIONS Early exposure to HF diets and GDM affects hepatic PUFA profiles and PI3K/Akt signaling pathway protein expression in male offspring during weaning and adulthood.
Collapse
Affiliation(s)
- JiaYu Gong
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - WenHui Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - YiFei Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - ShuTong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - YanYan Wu
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - YiRu Chen
- Clinical Nutrition Department, Third Hospital of Jilin University, Changchun City, Jilin Province, 130032, China
| | - YueTing Li
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - Yuan He
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - HaiTao Yu
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - Lin Xie
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| |
Collapse
|
2
|
Cao W, Wang H, Zhao S, Liu J, Liu E, Zhang T, Li N, Gao M, Li J, Yu Z, Hu G, Leng J, Yang X. Long-term risk of overweight in offspring of Chinese women with gestational diabetes defined by IADPSG's but not by WHO's criteria. Prim Care Diabetes 2024; 18:448-457. [PMID: 38777723 DOI: 10.1016/j.pcd.2024.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/19/2024] [Accepted: 05/11/2024] [Indexed: 05/25/2024]
Abstract
AIMS To examine long-term risk of overweight in offspring of women with gestational diabetes mellitus (GDM) defined by the International Association of Diabetes and Pregnancy Study Group (IADPSG)'s criteria but not by the 1999 World Health Organization (WHO)'s criteria. METHODS We followed up 1681 mother-child pairs for 8 years in Tianjin, China. Overweight in children aged 1-5 and 6-8 were respectively defined as body mass index-for-age and -sex above the 2 z-score and 1 z-score curves of the WHO's child growth standards. Logistic regression was performed to obtain odds ratios (ORs) and 95% confidence intervals (CIs) of hyperglycemia indices at oral glucose tolerance test and GDMs defined by different criteria for offspring overweight at different ages. RESULTS Offspring of women with fasting plasma glucose ≥5.1 mmol/L were at increased risk of overweight at 6-8 years old (OR:1.45, 95% CI: 1.09-1.93). GDM defined by the IADPSG's criteria only was associated with increased risk of childhood overweight at 6-8 years old (1.65, 1.13-2.40), as compared with non-GDM by either of the two sets of criteria. CONCLUSIONS Newly defined GDM by the IADPSG's criteria increased the risk of offspring overweight aged 6-8 years.
Collapse
Affiliation(s)
- Weihan Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Shumin Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jin Liu
- Department of Child Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Enqing Liu
- Department of Child Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Tao Zhang
- Department of Child Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax 15000, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Junhong Leng
- Department of Child Health, Tianjin Women and Children's Health Center, Tianjin 300070, China.
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
| |
Collapse
|
3
|
Semnani-Azad Z, Gaillard R, Hughes AE, Boyle KE, Tobias DK, Perng W. Precision stratification of prognostic risk factors associated with outcomes in gestational diabetes mellitus: a systematic review. COMMUNICATIONS MEDICINE 2024; 4:9. [PMID: 38216688 PMCID: PMC10786838 DOI: 10.1038/s43856-023-00427-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 12/12/2023] [Indexed: 01/14/2024] Open
Abstract
BACKGROUND The objective of this systematic review is to identify prognostic factors among women and their offspring affected by gestational diabetes mellitus (GDM), focusing on endpoints of cardiovascular disease (CVD) and type 2 diabetes (T2D) for women, and cardiometabolic profile for offspring. METHODS This review included studies published in English language from January 1st, 1990, through September 30th, 2021, that focused on the above outcomes of interest with respect to sociodemographic factors, lifestyle and behavioral characteristics, traditional clinical traits, and 'omics biomarkers in the mothers and offspring during the perinatal/postpartum periods and across the lifecourse. Studies that did not report associations of prognostic factors with outcomes of interest among GDM-exposed women or children were excluded. RESULTS Here, we identified 109 publications comprising 98 observational studies and 11 randomized-controlled trials. Findings indicate that GDM severity, maternal obesity, race/ethnicity, and unhealthy diet and physical activity levels predict T2D and CVD in women, and greater cardiometabolic risk in offspring. However, using the Diabetes Canada 2018 Clinical Practice Guidelines for studies, the level of evidence was low due to potential for confounding, reverse causation, and selection biases. CONCLUSIONS GDM pregnancies with greater severity, as well as those accompanied by maternal obesity, unhealthy diet, and low physical activity, as well as cases that occur among women who identify as racial/ethnic minorities are associated with worse cardiometabolic prognosis in mothers and offspring. However, given the low quality of evidence, prospective studies with detailed covariate data collection and high fidelity of follow-up are warranted.
Collapse
Affiliation(s)
- Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Romy Gaillard
- Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Alice E Hughes
- Faculty of Health and Life Sciences, University of Exeter Medical School, Exeter, UK
| | - Kristen E Boyle
- Department of Pediatrics and the Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Wei Perng
- Department of Epidemiology and the Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| |
Collapse
|
4
|
Nyen SL, Stunes AK, Evensen K, Børsting T, Syversen U, Salvesen KÅ, Mørkved S, Stafne SN. Associations between maternal and offspring glucose metabolism: a 9-year follow-up of a randomised controlled trial. Front Endocrinol (Lausanne) 2024; 14:1324925. [PMID: 38269252 PMCID: PMC10806570 DOI: 10.3389/fendo.2023.1324925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 12/18/2023] [Indexed: 01/26/2024] Open
Abstract
Introduction There is increasing evidence that the in utero environment affects the health and disease risk of offspring throughout their lives. The long-term effect of maternal hyperglycaemia on offspring glucose metabolism is of interest in a public health perspective. The aim of this study was to examine the association between in utero exposure to maternal glycaemia and offspring glucose metabolism. Methods Mother-child pairs were recruited from an RCT to prevent gestational diabetes mellitus where 855 healthy pregnant women were randomised to exercise or standard antenatal care. The original RCT detected no group differences in gestational diabetes mellitus prevalence or insulin resistance. The two groups were analysed as one group in the present study. Maternal glucose levels were assessed after 2-hour 75-gram oral glucose tolerance tests in pregnancy week ~34. Offspring outcomes were evaluated at ~9 years of age and included fasting glucose and homeostatic model assessment of insulin resistance. Multivariable regression models were performed, controlling for potential hereditary and lifestyle confounding factors. Results Complete data were available for 105 mother-child pairs. The regression analysis showed a positive association between maternal and offspring fasting glucose that was borderline significant (beta=0.18, 95% CI [-0.00027, 0.37], p=0.050). We did not find significant associations between maternal fasting glucose and offspring insulin resistance (beta=0.080, 95% CI [-0.087, 0.25], p=0.34), or between maternal 2-hour glucose and offspring fasting glucose (beta=0.016, 95% CI [-0.038, 0.070], p=0.56) or insulin resistance (beta=0.017, 95% CI [-0.032, 0.065], p=0.49). Conclusions Assessing a homogeneous group of healthy mother-child pairs, we found a borderline significant positive association between maternal and offspring fasting glucose, which persisted after adjustment for potential hereditary and lifestyle confounding factors. Our findings support other similar studies and highlight that improving the metabolic health of pregnant women, and women in childbearing age, should remain a key public health priority. Clinical trial registration ClinicalTrials.gov, identifier NCT00476567.
Collapse
Affiliation(s)
- Sigrid L. Nyen
- Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Astrid Kamilla Stunes
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Center for Oral Health Services and Research, Mid-Norway (TkMidt), Trondheim, Norway
| | - Kari Anne I. Evensen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Children’s Clinic, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Torunn Børsting
- Center for Oral Health Services and Research, Mid-Norway (TkMidt), Trondheim, Norway
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Unni Syversen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Endocrinology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kjell Å. Salvesen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Obstetrics and Gynecology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Siv Mørkved
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Signe N. Stafne
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| |
Collapse
|
5
|
Titmuss A, Barzi F, Barr ELM, Webster V, Wood A, Kelaart J, Kirkwood M, Connors C, Boyle JA, Moore E, Oats J, McIntyre HD, Zimmet P, Brown ADH, Shaw JE, Craig ME, Maple-Brown LJ. Association between maternal hyperglycemia in pregnancy and offspring anthropometry in early childhood: the pandora wave 1 study. Int J Obes (Lond) 2023; 47:1120-1131. [PMID: 37608089 PMCID: PMC10599996 DOI: 10.1038/s41366-023-01366-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 07/30/2023] [Accepted: 08/10/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND In-utero hyperglycemia exposure influences later cardiometabolic risk, although few studies include women with pre-existing type 2 diabetes (T2D) or assess maternal body mass index (BMI) as a potential confounder. OBJECTIVE To explore the association of maternal T2D and gestational diabetes mellitus (GDM) with childhood anthropometry, and the influence of maternal BMI on these associations. METHODS The PANDORA cohort comprises women (n = 1138) and children (n = 1163). Women with GDM and T2D were recruited from a hyperglycemia in pregnancy register, and women with normoglycemia from the community. Wave 1 follow-up included 423 children, aged 1.5-5 years (median follow-up age 2.5 years). Multivariable linear regression assessed associations between maternal antenatal variables, including BMI and glycemic status, with offspring anthropometry (weight, height, BMI, skinfold thicknesses, waist, arm and head circumferences). RESULTS Greater maternal antenatal BMI was associated with increased anthropometric measures in offspring independent of maternal glycemic status. After adjustment, including for maternal BMI, children exposed to maternal GDM had lower mean weight (-0.54 kg, 95% CI: -0.99, -0.11), BMI (-0.55 kg/m2, 95% CI: -0.91, -0.20), head (-0.52 cm, 95% CI: -0.88, -0.16) and mid-upper arm (-0.32 cm, 95% CI: -0.63, -0.01) circumferences, and greater mean suprailiac skinfold (0.78 mm, 95% CI: 0.13, 1.43), compared to children exposed to normoglycemia. Adjustment for maternal BMI strengthened the negative association between GDM and child weight, BMI and circumferences. Children exposed to maternal T2D had smaller mean head circumference (-0.82 cm, 95% CI: -1.33, -0.31) than children exposed to normoglycemia. Maternal T2D was no longer associated with greater child mean skinfolds (p = 0.14) or waist circumference (p = 0.18) after adjustment for maternal BMI. CONCLUSIONS Children exposed to GDM had greater suprailiac skinfold thickness than unexposed children, despite having lower mean weight, BMI and mid-upper arm circumference, and both GDM and T2D were associated with smaller mean head circumference. Future research should assess whether childhood anthropometric differences influence lifetime cardiometabolic and neurodevelopmental risk.
Collapse
Affiliation(s)
- Angela Titmuss
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
- Paediatric Department, Division of Women, Child and Youth, Royal Darwin Hospital, Darwin, NT, Australia.
| | - Federica Barzi
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Poche Centre for Indigenous Health, University of Queensland, Brisbane, QLD, Australia
| | - Elizabeth L M Barr
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Clinical and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Vanya Webster
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | - Anna Wood
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Endocrinology Department, Division of Medicine, Royal Darwin Hospital, Darwin, NT, Australia
| | - Joanna Kelaart
- Aboriginal Health Domain, Baker Heart and Diabetes Institute, Alice Springs, NT, Australia
| | - Marie Kirkwood
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
| | | | - Jacqueline A Boyle
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Elizabeth Moore
- Public Health Unit, Aboriginal Medical Services Alliance of Northern Territory, Darwin, NT, Australia
| | - Jeremy Oats
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - H David McIntyre
- Faculty of Medicine, Mater Medical Research Institute, University of Queensland, Brisbane, QLD, Australia
| | - Paul Zimmet
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Alex D H Brown
- University of South Australia, Adelaide, SA, Australia
- Wardliparingga Aboriginal Research Unit, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
- Australian National University, Canberra, ACT, Australia
- Telethon Kids Institute, Perth, WA, Australia
| | - Jonathan E Shaw
- Clinical and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Maria E Craig
- School of Women's and Children's Health, University of New South Wales, Sydney, NSW, Australia
| | - Louise J Maple-Brown
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
- Endocrinology Department, Division of Medicine, Royal Darwin Hospital, Darwin, NT, Australia
| |
Collapse
|
6
|
Meek CL. An unwelcome inheritance: childhood obesity after diabetes in pregnancy. Diabetologia 2023; 66:1961-1970. [PMID: 37442824 PMCID: PMC10541526 DOI: 10.1007/s00125-023-05965-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/12/2023] [Indexed: 07/15/2023]
Abstract
Diabetes in pregnancy affects 20 million women per year and is associated with increased risk of obesity in offspring, leading to insulin resistance and cardiometabolic disease. Despite the substantial public health ramifications, relatively little is known about the pathophysiological mechanisms underlying obesity in these high-risk children, which creates a barrier to successful intervention. While maternal glucose itself is undeniably a major stimulus upon intrauterine growth, the degree of offspring hyperinsulinism and disturbed lipid metabolism in mothers and offspring are also likely to be implicated in the disease process. The aim of this review is to summarise current understanding of the pathophysiology of childhood obesity after intrauterine exposure to maternal hyperglycaemia and to highlight possible opportunities for intervention. I present here a new unified hypothesis for the pathophysiology of childhood obesity in infants born to mothers with diabetes, which involves self-perpetuating twin cycles of pancreatic beta cell hyperfunction and altered lipid metabolism, both acutely and chronically upregulated by intrauterine exposure to maternal hyperglycaemia.
Collapse
Affiliation(s)
- Claire L Meek
- Wellcome Trust MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
| |
Collapse
|
7
|
Lappe V, Greiner GG, Linnenkamp U, Viehmann A, Adamczewski H, Kaltheuner M, Weber D, Schubert I, Icks A. Gestational diabetes in Germany-prevalence, trend during the past decade and utilization of follow-up care: an observational study. Sci Rep 2023; 13:16157. [PMID: 37758812 PMCID: PMC10533812 DOI: 10.1038/s41598-023-43382-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 09/22/2023] [Indexed: 09/29/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is one of the most common medical complications in pregnancy. Information on key figures such as screening rates, prevalence of GDM or utilization of follow-up care and associated factors varies widely and is often lacking. The aim of our study is to provide information on screening rates for and prevalence of GDM as well as utilization of follow-up care in Germany. We used data (2010-2020) from a large, nationwide statutory health insurance containing information on inpatient and outpatient care, including diagnoses, medication and treatments. Descriptive analyses were performed to assess screening rates, prevalence of GDM and participation rates in follow-up care. A log-binomial regression model was calculated to analyze associated factors. Screening rates among pregnant women increased from 40.2% (2010) to 93.3% (2020) and prevalence from 9.4% (2010) to 15.1% (2020). The proportion of women attending follow-up care remained stable over time (around 42%). Age, educational level, insulin prescription, hypertension and obesity were positively associated with participation in follow-up care. Although over 90% of women in Germany are screened for GDM during pregnancy, follow-up care is used much less. Further research is needed to understand the trends in GDM healthcare (from screening to follow-up care) and the reasons for women's (non-)participation, as well as the attitudes and routines of the healthcare providers involved.
Collapse
Affiliation(s)
- Veronika Lappe
- PMV Research Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Herderstraße 52, 50931, Cologne, Germany
| | - Gregory Gordon Greiner
- Institute for Health Services Research and Health Economics, German Diabetes Center, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany.
- Institute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany.
| | - Ute Linnenkamp
- Institute for Health Services Research and Health Economics, German Diabetes Center, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
- Institute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| | - Anja Viehmann
- Institute for Health Services Research and Health Economics, German Diabetes Center, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
- Institute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| | | | | | - Dietmar Weber
- WinDiab gGmbH, Geranienweg 7a, 41564, Kaarst, Germany
| | - Ingrid Schubert
- PMV Research Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Herderstraße 52, 50931, Cologne, Germany
| | - Andrea Icks
- Institute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764, Munich-Neuherberg, Germany
| |
Collapse
|
8
|
Cheng ER, Cengiz AY, Miled ZB. Predicting body mass index in early childhood using data from the first 1000 days. Sci Rep 2023; 13:8781. [PMID: 37258628 PMCID: PMC10232444 DOI: 10.1038/s41598-023-35935-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 05/25/2023] [Indexed: 06/02/2023] Open
Abstract
Few existing efforts to predict childhood obesity have included risk factors across the prenatal and early infancy periods, despite evidence that the first 1000 days is critical for obesity prevention. In this study, we employed machine learning techniques to understand the influence of factors in the first 1000 days on body mass index (BMI) values during childhood. We used LASSO regression to identify 13 features in addition to historical weight, height, and BMI that were relevant to childhood obesity. We then developed prediction models based on support vector regression with fivefold cross validation, estimating BMI for three time periods: 30-36 (N = 4204), 36-42 (N = 4130), and 42-48 (N = 2880) months. Our models were developed using 80% of the patients from each period. When tested on the remaining 20% of the patients, the models predicted children's BMI with high accuracy (mean average error [standard deviation] = 0.96[0.02] at 30-36 months, 0.98 [0.03] at 36-42 months, and 1.00 [0.02] at 42-48 months) and can be used to support clinical and public health efforts focused on obesity prevention in early life.
Collapse
Affiliation(s)
- Erika R Cheng
- Division of Children's Health Services Research, Department of Pediatrics, Indiana University School of Medicine, 410 W. 10th Street, Indianapolis, IN, 46220, USA.
| | - Ahmet Yahya Cengiz
- Department of Computer Science, Purdue School of Science, IUPUI, Indianapolis, IN, USA
| | - Zina Ben Miled
- Department of Electrical and Computer Engineering, School of Engineering and Technology, Indiana University Purdue University at Indianapolis, Indianapolis, IN, USA
- Regenstrief Institute, Inc., Indianapolis, IN, USA
| |
Collapse
|
9
|
Semnani-Azad Z, Gaillard R, Hughes AE, Boyle KE, Tobias DK, Perng W. Predictors and risk factors of short-term and long-term outcomes among women with gestational diabetes mellitus (GDM) and their offspring: Moving toward precision prognosis? MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.14.23288199. [PMID: 37131686 PMCID: PMC10153333 DOI: 10.1101/2023.04.14.23288199] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
As part of the American Diabetes Association Precision Medicine in Diabetes Initiative (PMDI) - a partnership with the European Association for the Study of Diabetes (EASD) - this systematic review is part of a comprehensive evidence evaluation in support of the 2 nd International Consensus Report on Precision Diabetes Medicine. Here, we sought to synthesize evidence from empirical research papers published through September 1 st , 2021 to evaluate and identify prognostic conditions, risk factors, and biomarkers among women and children affected by gestational diabetes mellitus (GDM), focusing on clinical endpoints of cardiovascular disease (CVD) and type 2 diabetes (T2D) among women with a history of GDM; and adiposity and cardiometabolic profile among offspring exposed to GDM in utero. We identified a total of 107 observational studies and 12 randomized controlled trials testing the effect of pharmaceutical and/or lifestyle interventions. Broadly, current literature indicates that greater GDM severity, higher maternal body mass index, belonging to racial/ethnic minority group; and unhealthy lifestyle behaviors would predict a woman's risk of incident T2D and CVD, and an unfavorable cardiometabolic profile among offspring. However, the level of evidence is low (Level 4 according to the Diabetes Canada 2018 Clinical Practice Guidelines for diabetes prognosis) largely because most studies leveraged retrospective data from large registries that are vulnerable to residual confounding and reverse causation bias; and prospective cohort studies that may suffer selection and attrition bias. Moreover, for the offspring outcomes, we identified a relatively small body of literature on prognostic factors indicative of future adiposity and cardiometabolic risk. Future high-quality prospective cohort studies in diverse populations with granular data collection on prognostic factors, clinical and subclinical outcomes, high fidelity of follow-up, and appropriate analytical approaches to deal with structural biases are warranted.
Collapse
|
10
|
Guo M, Xiao C, Yan H, Yu B, Zhai M, Wei L, Yin X, Gesang Q. Association of air pollution exposure during gestational and the first year of life with physical growth in preschoolers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:337-347. [PMID: 35098822 DOI: 10.1080/09603123.2022.2029829] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 01/11/2022] [Indexed: 06/14/2023]
Abstract
This study explored the association of exposure to air pollutants during gestational and the first year of life with physical growth in preschoolers. The linear and logistic regression models were used to estimate the associations between air pollution and childhood growth. After adjusting for confounders, z-scores of body mass index (zBMI, and 95% confidence intervals, 95%CI) increased by 1.164(1.054,1.285), 1.136(1.050,1.228) and 1.165(1.041,1.303), associated with per interquartile range (IQR) increase in NO2 (nitrogen dioxide), PM2.5 and PM10 (particulate matter with aerodynamic diameters ≤2.5 μm and 10 μm) during gestational, respectively. The odds ratios (and 95%CI) of childhood overweight/obesity associated with per IQR increase in NO2, PM2.5 and PM10 during gestational were 1.425(1.168,1.737), 1.255(1.087,1.450) and 1.332(1.104,1.605). Positive associations were found between air pollution during the first year of life and zBMI or overweight/obesity. Our findings suggest exposure to air pollution were associated with childhood growth, and improving air quality is beneficial for childhood growth.
Collapse
Affiliation(s)
- Menglan Guo
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, PR China
| | - Chenchang Xiao
- Department of Medicine, City College, Wuhan University of Science and Technology, Wuhan, PR China
| | - Hong Yan
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, PR China
| | - Bin Yu
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, PR China
| | - Mengxi Zhai
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, PR China
| | - Liqing Wei
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, PR China
| | - Xiaohong Yin
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, PR China
| | - Quzhen Gesang
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, PR China
| |
Collapse
|
11
|
Scheidl TB, Brightwell AL, Easson SH, Thompson JA. Maternal obesity and programming of metabolic syndrome in the offspring: searching for mechanisms in the adipocyte progenitor pool. BMC Med 2023; 21:50. [PMID: 36782211 PMCID: PMC9924890 DOI: 10.1186/s12916-023-02730-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 01/09/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND It is now understood that it is the quality rather than the absolute amount of adipose tissue that confers risk for obesity-associated disease. Adipose-derived stem cells give rise to adipocytes during the developmental establishment of adipose depots. In adult depots, a reservoir of progenitors serves to replace adipocytes that have reached their lifespan and for recruitment to increase lipid buffering capacity under conditions of positive energy balance. MAIN: The adipose tissue expandability hypothesis posits that a failure in de novo differentiation of adipocytes limits lipid storage capacity and leads to spillover of lipids into the circulation, precipitating the onset of obesity-associated disease. Since adipose progenitors are specified to their fate during late fetal life, perturbations in the intrauterine environment may influence the rapid expansion of adipose depots that occurs in childhood or progenitor function in established adult depots. Neonates born to mothers with obesity or diabetes during pregnancy tend to have excessive adiposity at birth and are at increased risk for childhood adiposity and cardiometabolic disease. CONCLUSION In this narrative review, we synthesize current knowledge in the fields of obesity and developmental biology together with literature from the field of the developmental origins of health and disease (DOHaD) to put forth the hypothesis that the intrauterine milieu of pregnancies complicated by maternal metabolic disease disturbs adipogenesis in the fetus, thereby accelerating the trajectory of adipose expansion in early postnatal life and predisposing to impaired adipose plasticity.
Collapse
Affiliation(s)
- Taylor B. Scheidl
- Cumming School of Medicine, Calgary, Canada
- Alberta Children’s Hospital Research Institute, Calgary, Canada
- Libin Cardiovascular Institute, Calgary, Canada
- University of Calgary, 3330 Hospital Dr. NW, Calgary, AB T2N 4N1 Canada
| | - Amy L. Brightwell
- University of Calgary, 3330 Hospital Dr. NW, Calgary, AB T2N 4N1 Canada
| | - Sarah H. Easson
- Cumming School of Medicine, Calgary, Canada
- University of Calgary, 3330 Hospital Dr. NW, Calgary, AB T2N 4N1 Canada
| | - Jennifer A. Thompson
- Cumming School of Medicine, Calgary, Canada
- Alberta Children’s Hospital Research Institute, Calgary, Canada
- Libin Cardiovascular Institute, Calgary, Canada
- University of Calgary, 3330 Hospital Dr. NW, Calgary, AB T2N 4N1 Canada
| |
Collapse
|
12
|
Ghildayal N, Allard C, Blais K, Doyon M, Arguin M, Bouchard L, Perron P, Hivert MF. Associations of maternal insulin sensitivity during pregnancy with childhood central adiposity in the Genetics of Glucose regulation in Gestation and Growth (Gen3G) cohort. Pediatr Obes 2023; 18:e12982. [PMID: 36218084 PMCID: PMC9852010 DOI: 10.1111/ijpo.12982] [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: 04/12/2022] [Accepted: 08/22/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Childhood obesity has been associated with prenatal exposure to maternal hyperglycaemia, but we lack understanding about maternal insulin physiologic components that contribute to this association. OBJECTIVES Evaluate the association between maternal insulin sensitivity during pregnancy and adiposity measures in childhood. METHODS In 422 mother-child pairs, we tested associations between maternal insulin sensitivity measures at ~26 weeks of pregnancy and child adiposity measures, including dual-energy X-ray absorptiometry body composition and anthropometry (body mass index and waist circumference) at ~5 years. We used linear regression analyses to adjust for maternal age, ethnicity, gravidity, first-trimester body mass index, and child sex and age at mid-childhood. RESULTS In early pregnancy, maternal mean age was 28.6 ± 4.3 years and median body mass index was 24.1 kg/m2 . Lower maternal insulin sensitivity indices were correlated with greater child adiposity based on anthropometry measures and on dual-energy X-ray absorptiometry total and trunk % fat in univariate associations (r = -0.122 to -0.159). Lower maternal insulin sensitivity was specifically associated with higher dual-energy X-ray absorptiometry trunk % fat (n = 359 for Matsuda; β = -0.034 ± 0.013; p = 0.01) after adjustment for covariates, including maternal body mass index. CONCLUSIONS Maternal insulin sensitivity during pregnancy may contribute to increased risk for higher offspring central adiposity in middle childhood.
Collapse
Affiliation(s)
- Nidhi Ghildayal
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA
| | - Catherine Allard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
| | - Kasandra Blais
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
| | - Myriam Doyon
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
| | - Melina Arguin
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
| | - Luigi Bouchard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
- Faculty of Medicine and Health Sciences, Department of Biochemistry and Functional Genomics, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Department of Medical Biology, CIUSSS of Saguenay-Lac-Saint-Jean, Saguenay, Québec, Canada
| | - Patrice Perron
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
- Faculty of Medicine and Health Sciences, Department of Medicine, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA
- Faculty of Medicine and Health Sciences, Department of Medicine, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| |
Collapse
|
13
|
Using a Very Low Energy Diet to Achieve Substantial Preconception Weight Loss in Women with Obesity: A Review of the Safety and Efficacy. Nutrients 2022; 14:nu14204423. [PMID: 36297107 PMCID: PMC9608905 DOI: 10.3390/nu14204423] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 09/29/2022] [Accepted: 10/17/2022] [Indexed: 11/16/2022] Open
Abstract
Obesity in women of reproductive age is common. Emerging evidence suggests that maternal obesity not only increases the risk of adverse pregnancy outcomes but also has an enduring impact on the metabolic health of the offspring. Given this, management of obesity prior to pregnancy is critically important. Almost all international guidelines suggest that women with obesity should aim to achieve weight loss prior to pregnancy. However, current pre-conception weight loss therapies are sub-optimal. Lifestyle modification typically results in modest weight loss. This may assist fertility but does not alter pregnancy outcomes. Bariatric surgery results in substantial weight loss, which improves pregnancy outcomes for the mother but may be harmful to the offspring. Alternative approaches to the management of obesity in women planning pregnancy are needed. Very low energy diets (VLEDs) have been proposed as a possible tool to assist women with obesity achieve weight loss prior to conception. While VLEDs can induce substantial and rapid weight loss, there are concerns about the impact of rapid weight loss on maternal nutrition prior to pregnancy and about inadvertent exposure of the early fetus to ketosis. The purpose of this review is to examine the existing literature regarding the safety and efficacy of a preconception VLED program as a tool to achieve substantial weight loss in women with obesity.
Collapse
|
14
|
Titmuss A, Longmore DK, Barzi F, Barr ELM, Webster V, Wood A, Simmonds A, Brown ADH, Connors C, Boyle JA, Oats J, McIntyre HD, Shaw JE, Craig ME, Maple‐Brown LJ. Association between hyperglycaemia in pregnancy and growth of offspring in early childhood: The PANDORA study. Pediatr Obes 2022; 17:e12932. [PMID: 35644889 PMCID: PMC9539556 DOI: 10.1111/ijpo.12932] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 05/09/2022] [Indexed: 12/04/2022]
Abstract
BACKGROUND Few studies have assessed whether children exposed to in utero hyperglycaemia experience different growth trajectories compared to unexposed children. OBJECTIVES To assess association of type 2 diabetes (T2D) and gestational diabetes mellitus (GDM) with early childhood weight, length/height and body mass index (BMI) trajectories, and with timing and magnitude of peak BMI in infancy. METHODS PANDORA is a birth cohort recruited from an Australian hyperglycaemia in pregnancy register, and women with normoglycaemia recruited from the community. Offspring growth measures were obtained from health records over a median follow-up of 3.0 years (interquartile range 1.9-4.0). This analysis included children born to Aboriginal mothers with in utero normoglycaemia (n = 95), GDM (n = 228) or T2D (n = 131). Growth trajectories (weight, length/height and BMI) were estimated using linear mixed models with cubic spline functions of child age. RESULTS After adjustment for maternal factors (age, BMI, parity, smoking, and socioeconomic measures) and child factors (age, gestational age at birth, and sex), children born to mothers with T2D or GDM had lower weight, length/height and BMI trajectories in infancy than children born to mothers with normoglycaemia, but similar weight and BMI by completion of follow-up. Children exposed to T2D had lower mean peak BMI 17.6 kg/m2 (95% confidence interval [CI] 17.3-18.0) than children exposed to normoglycaemia (18.6 kg/m2 [18.1-18.9]) (p = 0.001). CONCLUSIONS Maternal hyperglycaemia was associated with differences in early childhood growth trajectories after adjustment for maternal BMI. Exploration of associations between in utero hyperglycaemia exposure and growth trajectories into later childhood is required.
Collapse
Affiliation(s)
- Angela Titmuss
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Department of Paediatrics, Division of Women, Children and YouthRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - Danielle K. Longmore
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Federica Barzi
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Poche Centre for Indigenous HealthUniversity of QueenslandBrisbaneQueenslandAustralia
| | - Elizabeth L. M. Barr
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Clinical and Population HealthBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Vanya Webster
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Anna Wood
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Endocrinology Department, Division of MedicineRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | - Alison Simmonds
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia
| | - Alex D. H. Brown
- Wardliparingga Aboriginal Research UnitSouth Australian Health and Medical Research InstituteAdelaideSouth AustraliaAustralia,Faculty of Health and Medical ScienceUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Christine Connors
- Top End Health ServiceNorthern Territory Department of HealthDarwinNorthern TerritoryAustralia
| | - Jacqueline A. Boyle
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Monash Centre for Health Research and ImplementationSchool of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Jeremy Oats
- Melbourne School of Population and Global HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - H. David McIntyre
- Faculty of MedicineMater Medical Research Institute, University of QueenslandBrisbaneQueenslandAustralia
| | - Jonathan E. Shaw
- Clinical and Population HealthBaker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Maria E. Craig
- School of Women and Children's HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Louise J. Maple‐Brown
- Wellbeing and Preventable Chronic Diseases DivisionMenzies School of Health Research, Charles Darwin UniversityDarwinNorthern TerritoryAustralia,Endocrinology Department, Division of MedicineRoyal Darwin HospitalDarwinNorthern TerritoryAustralia
| | | |
Collapse
|
15
|
Koerner R, Groer M, Prescott S. Scoping Review of the Relationship Between Gestational Diabetes Mellitus and the Neonatal and Infant Gut Microbiome. J Obstet Gynecol Neonatal Nurs 2022; 51:502-516. [PMID: 35839839 DOI: 10.1016/j.jogn.2022.06.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 06/05/2022] [Accepted: 06/13/2022] [Indexed: 10/17/2022] Open
Abstract
OBJECTIVE To conduct a scoping review to examine the relationship between a diagnosis of gestational diabetes mellitus (GDM) and the neonatal and infant gut microbiome from 0 to 1 year of age. DATA SOURCES We searched PubMed, Scopus, Embase, and CINAHL for articles with key terms "microbiome" and "gestational diabetes mellitus." STUDY SELECTION We included articles published in English in peer-reviewed journals between 2012 and 2021 that were reports of original research studies in which researchers used next-generation sequencing for analysis of the fecal microbiome and collected meconium or transitional stool from neonates and infants. DATA EXTRACTION We identified nine studies with a combined sample size of 1,279 neonates and infants. We extracted data, including title, authors, sample size, study design, methods, findings, significance, and limitations. We extracted and charted confounding variables such as treatment of GDM, body mass index, gestational age at birth, antibiotic use, mode of birth, and feeding method. DATA SYNTHESIS Gestational diabetes mellitus may alter the neonatal and infant gut microbiome because neonates and infants of women with GDM had altered composition and diversity compared to neonates and infants of women without GDM. CONCLUSION Mechanisms by which the neonatal and infant microbiome changes in response to GDM are poorly understood and need to be evaluated in future research. Further study of how GDM plays a role in the initial seeding of the microbiome, how the maternal microbiome may affect fetal metabolic programming, and how the neonatal microbiome leads to the future development of obesity and glucose intolerance is critical. Future studies should include larger sample sizes, appropriate collection of potential confounding variables, assessment of maternal interventions for GDM, and longitudinal designs to further understand potential associations with long-term detrimental outcomes such as obesity and impaired glucose tolerance.
Collapse
|
16
|
Zawiejska A, Wróblewska-Seniuk K, Gutaj P, Kippen J, Gomulska A, Wender-Ozegowska E. Markers of Maternal Insulin Resistance and Lipid Ratios Measured in Early Pregnancy Are Related to Adverse Fetomaternal Outcomes in Women Treated for Hyperglycemia Detected in Early Pregnancy-Data from a Retrospective Cohort Study. J Clin Med 2022; 11:jcm11071777. [PMID: 35407384 PMCID: PMC8999957 DOI: 10.3390/jcm11071777] [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] [Received: 01/28/2022] [Revised: 03/15/2022] [Accepted: 03/20/2022] [Indexed: 11/29/2022] Open
Abstract
Background: Hyperglycemia detected in early pregnancy is still inadequately studied as a risk factor for adverse maternal and neonatal outcomes. Methods: a retrospective study of a cohort of N = 193 women in singleton pregnancies with hyperglycemia diagnosed before the 20th gestational week (GW). Results: characteristics of the study group: GW at the diagnosis: 12.0 (9.0; 15.0), diabetes diagnosed in early pregnancy (eDiP): 21%, insulin-therapy required: 61.8%, gestational hypertension/preeclampsia: 7.7%, premature delivery: 9.2%, composite adverse neonatal outcome: 59.2%, high (LGA) birth weight/low (SGA) birth weight according to the WHO growth charts: 24.2%/9.2%, respectively. Women with eDiP have lower eGDR, a higher TAG/HDL ratio, and a higher atherogenic index of plasma (AIP) compared to women with gestational diabetes diagnosed in early pregnancy—eGDM (9.33 ± 1.56 vs. 7.92 ± 2.54, p = 0.007, 1.06 ± 0.78, vs. 1.25 ± 0.68, p = 0.020, and −0.06 ± 0.25 vs. 0.04 ± 0.23 p = 0.021, respectively). NonHDL/HDL cholesterol ratio > 2.6, and AIP > 0.24 total/HDL cholesterol ratio > 4.5 significantly predicted metabolic adverse neonatal outcome (hypoglycemia and/or hyperbilirubinemia)—OR (95% CI): 4.62 (1.35; 15.79), 3.60 (1.04; 12.48), 8.75 (1.02; 74.83), respectively. Conclusions: 1, Hyperglycemia diagnosed in early pregnancy coexists with a lipid profile suggestive of insulin resistance. 2, Lipid-related markers of cardiometabolic risk measured in early pregnancy can be useful tools in assessment of fetomaternal risk in high-risk populations. 3, Women with eDiP present a more severe insulin resistance phenotype than those with eGDM.
Collapse
Affiliation(s)
- Agnieszka Zawiejska
- Department of Medical Simulation, Chair of Medical Education, University of Medical Sciences, 61-701 Poznan, Poland
- Correspondence:
| | - Katarzyna Wróblewska-Seniuk
- Department of Newborns’ Infectious Diseases, Chair of Neonatology, Poznan University of Medical Sciences, 61-701 Poznan, Poland;
| | - Paweł Gutaj
- Department of Reproduction, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (P.G.); (E.W.-O.)
| | - Joanna Kippen
- Students’ Scientific Society, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (J.K.); (A.G.)
| | - Anna Gomulska
- Students’ Scientific Society, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (J.K.); (A.G.)
| | - Ewa Wender-Ozegowska
- Department of Reproduction, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (P.G.); (E.W.-O.)
| |
Collapse
|
17
|
Dessì A, Tognazzi C, Bosco A, Pintus R, Fanos V. Metabolomic profiles and microbiota of GDM offspring: The key for future perspective? Front Pediatr 2022; 10:941800. [PMID: 36275053 PMCID: PMC9579340 DOI: 10.3389/fped.2022.941800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Gestational diabetes mellitus (GDM), or any degree of glucose intolerance recognized for the first time during pregnancy, is one of the diseases that most frequently aggravates the course of gestation. Missed or late diagnosis and inadequate treatment are associated with high maternal and fetal morbidity, with possible short- and long-term repercussions. Estimates on the prevalence of GDM are alarming and increasing by about 30% in the last 10-20 years. In addition, there is the negative influence of the SARS-CoV-2 emergency on the glycemic control of pregnant women, making the matter increasingly topical. To date, knowledge on the metabolic maturation of newborns is still incomplete. However, in light of the considerable progress of the theory of "developmental origins of health and disease," the relevant role of the intrauterine environment cannot be overlooked. In fact, due to the high plasticity of the early stages of development, some detrimental metabolic alterations during fetal growth, including maternal hyperglycemia, are associated with a higher incidence of chronic diseases in adult life. In this context, metabolomic analysis which allows to obtain a detailed phenotypic portrait through the dynamic detection of all metabolites in cells, tissues and different biological fluids could be very useful for the early diagnosis and prevention of complications. Indeed, if the diagnostic timing is optimized through the identification of specific metabolites, the detailed understanding of the altered metabolic pathway could also allow better management and more careful monitoring, also from a nutritional profile, of the more fragile children. In this context, a further contribution derives from the analysis of the intestinal microbiota, the main responsible for the fecal metabolome, given its alteration in pregnancies complicated by GDM and the possibility of transmission to offspring. The purpose of this review is to analyze the available data regarding the alterations in the metabolomic profile and microbiota of the offspring of mothers with GDM in order to highlight future prospects for reducing GDM-related complications in children of mothers affected by this disorder.
Collapse
Affiliation(s)
- Angelica Dessì
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Azienda Ospedaliera Universitaria (AOU) Cagliari, University of Cagliari, Cagliari, Italy
| | - Chiara Tognazzi
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Azienda Ospedaliera Universitaria (AOU) Cagliari, University of Cagliari, Cagliari, Italy
| | - Alice Bosco
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Azienda Ospedaliera Universitaria (AOU) Cagliari, University of Cagliari, Cagliari, Italy
| | - Roberta Pintus
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Azienda Ospedaliera Universitaria (AOU) Cagliari, University of Cagliari, Cagliari, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, Azienda Ospedaliera Universitaria (AOU) Cagliari, University of Cagliari, Cagliari, Italy
| |
Collapse
|
18
|
Ziauddeen N, Huang JY, Taylor E, Roderick PJ, Godfrey KM, Alwan NA. Interpregnancy weight gain and childhood obesity: analysis of a UK population-based cohort. Int J Obes (Lond) 2022; 46:211-219. [PMID: 34645936 PMCID: PMC8748200 DOI: 10.1038/s41366-021-00979-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 09/20/2021] [Accepted: 09/29/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND Maternal obesity increases the risk of adverse long-term health outcomes in mother and child including childhood obesity. We aimed to investigate the association between interpregnancy weight gain between first and second pregnancies and risk of overweight and obesity in the second child. METHODS We analysed the healthcare records of 4789 women in Hampshire, UK with their first two singleton live births within a population-based anonymised linked cohort of routine antenatal records (August 2004 and August 2014) with birth/early life data for their children. Measured maternal weight and reported height were recorded at the first antenatal appointment of each pregnancy. Measured child height and weight at 4-5 years were converted to age- and sex-adjusted body mass index (BMI z-score). Log-binomial regression was used to examine the association between maternal interpregnancy weight gain and risk of childhood overweight and obesity in the second child. This was analysed first in the whole sample and then stratified by baseline maternal BMI category. RESULTS The prevalence of overweight/obesity in the second child was 19.1% in women who remained weight stable, compared with 28.3% in women with ≥3 kg/m2 weight gain. Interpregnancy gain of ≥3 kg/m2 was associated with increased risk of childhood overweight/obesity (adjusted relative risk (95% CI) 1.17 (1.02-1.34)), with attenuation on adjusting for birthweight of the second child (1.08 (0.94-1.24)). In women within the normal weight range at first pregnancy, the risks of childhood obesity (≥95th centile) were increased with gains of 1-3 kg/m2 (1.74 (1.07-2.83)) and ≥3 kg/m2 (1.87 (1.18-3.01)). CONCLUSION Children of mothers within the normal weight range in their first pregnancy who started their second pregnancy with a considerably higher weight were more likely to have obesity at 4-5 years. Supporting return to pre-pregnancy weight and limiting weight gain between pregnancies may achieve better long-term maternal and offspring outcomes.
Collapse
Affiliation(s)
- Nida Ziauddeen
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.
- NIHR Applied Research Collaboration Wessex, Southampton, UK.
| | - Jonathan Y Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Elizabeth Taylor
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Paul J Roderick
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Keith M Godfrey
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Nisreen A Alwan
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK.
- NIHR Applied Research Collaboration Wessex, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
| |
Collapse
|
19
|
Lawrence RL, Ward K, Wall CR, Bloomfield FH. New Zealand women's experiences of managing gestational diabetes through diet: a qualitative study. BMC Pregnancy Childbirth 2021; 21:819. [PMID: 34886814 PMCID: PMC8662890 DOI: 10.1186/s12884-021-04297-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 11/23/2021] [Indexed: 12/25/2022] Open
Abstract
Background For women with gestational diabetes mellitus (GDM) poor dietary choices can have deleterious consequences for both themselves and their baby. Diet is a well-recognised primary strategy for the management of GDM. Women who develop GDM may receive dietary recommendations from a range of sources that may be inconsistent and are often faced with needing to make several dietary adaptations in a short period of time to achieve glycaemic control. The aim of this study was to explore how women diagnosed with GDM perceive dietary recommendations and how this information influences their dietary decisions during pregnancy and beyond. Methods Women diagnosed with GDM before 30 weeks’ gestation were purposively recruited from two GDM clinics in Auckland, New Zealand. Data were generated using semi-structured interviews and thematic analysed to identify themes describing women’s perceptions and experiences of dietary recommendations for the management of GDM. Results Eighteen women from a diverse range of sociodemographic backgrounds participated in the study. Three interconnected themes described women’s perceptions of dietary recommendations and experiences in managing their GDM through diet: managing GDM is a balancing act; using the numbers as evidence, and the GDM timeframe. The primary objective of dietary advice was perceived to be to control blood glucose levels and this was central to each theme. Women faced a number of challenges in adhering to dietary recommendations. Their relationships with healthcare professionals played a significant role in their perception of advice and motivation to adhere to recommendations. Many women perceived the need to follow dietary recommendations to be temporary, with few planning to continue dietary adaptations long-term. Conclusions The value of empathetic, individually tailored advice was highlighted in this study. A greater emphasis on establishing healthy dietary habits not just during pregnancy but for the long-term health of both mother and baby is needed. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-021-04297-0.
Collapse
Affiliation(s)
- R L Lawrence
- The Liggins Institute, The University of Auckland, Building 505, Level 2, 85 Park Road, Grafton, Auckland, 1023, New Zealand
| | - K Ward
- School of Nursing, University of Auckland, Auckland, New Zealand
| | - C R Wall
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - F H Bloomfield
- The Liggins Institute, The University of Auckland, Building 505, Level 2, 85 Park Road, Grafton, Auckland, 1023, New Zealand.
| |
Collapse
|
20
|
Longitudinal Association of Maternal Pre-Pregnancy BMI and Third-Trimester Glycemia with Early Life Growth of Offspring: A Prospective Study among GDM-Negative Pregnant Women. Nutrients 2021; 13:nu13113971. [PMID: 34836226 PMCID: PMC8619788 DOI: 10.3390/nu13113971] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/02/2021] [Accepted: 11/03/2021] [Indexed: 01/22/2023] Open
Abstract
Intrauterine modifiable maternal metabolic factors are essential to the early growth of offspring. The study sought to evaluate the associations of pre-pregnancy BMI and third-trimester fasting plasma glucose (FPG) with offspring growth outcomes within 24 months among GDM-negative pregnant women. Four hundred eighty-three mother –offspring dyads were included from the Shanghai Maternal-Child Pairs Cohort. The pregnant women were categorized into four mutually exclusive groups according to pre-pregnancy BMI as normal or overweight/obesity and third-trimester FPG as controlled or not controlled. Offspring growth in early life was indicated by the BAZ (BMI Z-score), catch-up growth, and overweight/obesity. Among those with controlled third-trimester FPG, pre-pregnancy overweight/obesity significantly increased offspring birth weight, BAZ, and risks of overweight/obesity (RR 1.83, 95% CI 1.23 to 2.73) within 24 months. Those who had uncontrolled third-trimester FPG had a reduced risk of offspring overweight/obesity within 24 months by 47%. The combination of pre-pregnancy overweight/obesity and maternal uncontrolled third-trimester FPG increased 5.24-fold risk of offspring catch-up growth within 24 months (p < 0.05). Maternal pre-pregnancy overweight/obesity and uncontrolled third-trimester glycemia among GDM-negative women both have adverse effects on offspring growth within 24 months. With the combination of increasing pre-pregnancy BMI and maternal third-trimester FPG, the possibility of offspring catch-up growth increases.
Collapse
|
21
|
Greiner GG, Viehmann A, Linnenkamp U, Wilm S, Leve V, Neuenschwander M, Kuss O, Fehm T, Ensenauer R, Schumacher L, Lange U, Müller-Bößmann D, Lappe V, Ihle P, Adamczewski H, Kaltheuner M, Tamayo M, Gräfe V, Westerhoff B, Wallerich-Herf N, Schellhammer S, Kerres T, Schmitz-Losem I, Cramer S, Rupprecht CJ, Klüppelholz B, Meyer F, Koch-Schulte S, Jüngling U, Icks A. Study protocol for a mixed methods exploratory investigation of aftercare services for gestational diabetes in women to develop a new patient-centred model in Germany: the GestDiNa_basic study. BMJ Open 2021; 11:e046048. [PMID: 34341040 PMCID: PMC8330567 DOI: 10.1136/bmjopen-2020-046048] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Women with gestational diabetes mellitus (GDM) have a higher risk of developing type 2 diabetes mellitus compared with women who never had GDM. Consequently, the question of structured aftercare for GDM has emerged. In all probability, many women do not receive care according to the guidelines. In particular, the process and interaction between obstetrical, diabetic, gynaecological, paediatric and general practitioner care lacks clear definitions. Thus, our first goal is to analyse the current aftercare situation for women with GDM in Germany, for example, the participation rate in aftercare diabetes screening, as well as reasons and attitudes stated by healthcare providers to offer these services and by patients to participate (or not). Second, we want to develop an appropriate, effective and patient-centred care model. METHODS AND ANALYSIS This is a population-based mixed methods study using both quantitative and qualitative research approaches. In various working packages, we evaluate data of the GestDiab register, of the Association of Statutory Health Insurance Physicians of North Rhine and the participating insurance companies (AOK Rheinland/Hamburg, BARMER, DAK Gesundheit, IKK classic, pronova BKK). In addition, quantitative (postal surveys) and qualitative (interviews) surveys will be conducted with randomly selected healthcare providers (diabetologists, gynaecologists, paediatricians and midwives) and affected women, to be subsequently analysed. All results will then be jointly examined and evaluated. ETHICS AND DISSEMINATION The study was approved by the ethics committee of the Faculty of Medicine, Heinrich-Heine-University Düsseldorf (Ethics Committee No.: 2019-738). Participants of the postal surveys and interviews will be informed in detail about the study and the use of data as well as the underlying data protection regulations before voluntarily participating. The study results will be disseminated through peer-reviewed journals, conferences and public information. TRIAL REGISTRATION NUMBER DRKS00020283.
Collapse
Affiliation(s)
- Gregory Gordon Greiner
- Institute for Health Services Research and Health Economics, Centre for Health and Society (chs), Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Anja Viehmann
- Institute for Health Services Research and Health Economics, Centre for Health and Society (chs), Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Ute Linnenkamp
- Institute for Health Services Research and Health Economics, Centre for Health and Society (chs), Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
- Department of Gynecology and Obstetrics, University Hospital, Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Stefan Wilm
- Institute of General Practice, Centre for Health and Society (chs), Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Verena Leve
- Institute of General Practice, Centre for Health and Society (chs), Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Manuela Neuenschwander
- Institute for Biometrics and Epidemiology, German Diabetes Center Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Oliver Kuss
- Institute for Biometrics and Epidemiology, German Diabetes Center Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Tanja Fehm
- Department of Gynecology and Obstetrics, University Hospital, Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Regina Ensenauer
- Institute of Child Nutrition, Max Rubner-Institute Federal Research Institute of Nutrition and Food, Karlsruhe, Baden-Württemberg, Germany
- Department of General Paediatrics, Neonatology, and Paediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Liesa Schumacher
- Department of General Paediatrics, Neonatology, and Paediatric Cardiology, University Children's Hospital, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Ute Lange
- Department of Applied Heath Sciences, Bochum University of Applied Sciences, Bochum, Nordrhein-Westfalen, Germany
| | - Dorit Müller-Bößmann
- Department of Applied Heath Sciences, Bochum University of Applied Sciences, Bochum, Nordrhein-Westfalen, Germany
| | - Veronika Lappe
- PMV Research Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Nordrhein-Westfalen, Germany
| | - Peter Ihle
- PMV Research Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Nordrhein-Westfalen, Germany
| | | | | | - Miguel Tamayo
- Association of Statutory Health Insurance Physicians of North Rhine (KV Nordrhein), Düsseldorf, Nordrhein-Westfalen, Germany
| | - Viola Gräfe
- Association of Statutory Health Insurance Physicians of North Rhine (KV Nordrhein), Düsseldorf, Nordrhein-Westfalen, Germany
| | | | | | | | - Thomas Kerres
- DAK Gesundheit, Statutory Health Insurance, Hamburg, Germany
| | - Imke Schmitz-Losem
- pronova BKK, Statutory Health Insurance, Ludwigshafen, Rheinland-Pfalz, Germany
| | - Stefan Cramer
- pronova BKK, Statutory Health Insurance, Ludwigshafen, Rheinland-Pfalz, Germany
| | - Christoph J Rupprecht
- AOK Rheinland/Hamburg, Statutory Health Insurance, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Birgit Klüppelholz
- AOK Rheinland/Hamburg, Statutory Health Insurance, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Frank Meyer
- IKK classic, Statutory Health Insurance, Münster, Nordrhein-Westfalen, Germany
| | - Simone Koch-Schulte
- IKK classic, Statutory Health Insurance, Münster, Nordrhein-Westfalen, Germany
| | - Ute Jüngling
- Patient Representative, Dortmund, Nordrhein-Westfalen, Germany
| | - Andrea Icks
- Institute for Health Services Research and Health Economics, Centre for Health and Society (chs), Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Nordrhein-Westfalen, Germany
- German Center for Diabetes Research, Neuherberg, Bayern, Germany
| |
Collapse
|
22
|
Zhao Q, Hu Z, Kocak M, Liu J, Fowke JH, Han JC, Kakhniashvili D, Lewinn KZ, Bush NR, Mason WA, Tylavsky FA. Associations of prenatal metabolomics profiles with early childhood growth trajectories and obesity risk in African Americans: the CANDLE study. Int J Obes (Lond) 2021; 45:1439-1447. [PMID: 33824402 PMCID: PMC8496965 DOI: 10.1038/s41366-021-00808-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 02/17/2021] [Accepted: 03/22/2021] [Indexed: 02/01/2023]
Abstract
OBJECTIVE Prenatal metabolomics profiles, providing measures of in utero nutritional and environmental exposures, may improve the prediction of childhood outcomes. We aimed to identify prenatal plasma metabolites associated with early childhood body mass index (BMI) trajectories and overweight/obesity risk in offspring. METHODS This study included 450 African American mother-child pairs from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood Study. An untargeted metabolomics analysis was performed on the mothers' plasma samples collected during the second trimester. The children's BMI-z-score trajectories from birth to age 4 [rising-high- (9.8%), moderate- (68.2%), and low-BMI (22.0%)] and overweight/obesity status at age 4 were the main outcomes. The least absolute shrinkage and selection operator (LASSO) was used to select the prenatal metabolites associated with childhood outcomes. RESULTS The mothers were 24.5 years old on average at recruitment, 76.4% having education less than 12 years and 80.0% with Medicaid or Medicare. In LASSO, seven and five prenatal metabolites were associated with the BMI-z-score trajectories and overweight/obese at age 4, respectively. These metabolites are mainly from/relevant to the pathways of steroid biosynthesis, amino acid metabolism, vitamin B complex, and xenobiotics metabolism (e.g., caffeine and nicotine). The odds ratios (95% CI) associated with a one SD increase in the prenatal metabolite risk scores (MRSs) constructed from the LASSO-selected metabolites were 2.97 (1.95-4.54) and 2.03 (1.54-2.67) for children being in the rising-high-BMI trajectory group and overweight/obesity at age 4, respectively. The MRSs significantly improved the risk prediction for childhood outcomes beyond traditional prenatal risk factors. The increase (95% CI) in the area under the receiver operating characteristic curves were 0.10 (0.03-0.18) and 0.07 (0.02-0.12) for the rising-high-BMI trajectory (P = 0.005) and overweight/obesity at age 4 (P = 0.007), respectively. CONCLUSIONS Prenatal metabolomics profiles advanced prediction of early childhood growth trajectories and obesity risk in offspring.
Collapse
Affiliation(s)
- Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
| | - Zunsong Hu
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Mehmet Kocak
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jiawang Liu
- Medicinal Chemistry Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN, USA
- Department of Pharmaceutical Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jay H Fowke
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Joan C Han
- Departments of Pediatrics and Physiology, University of Tennessee Health Science Center, and Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, TN, USA
| | - David Kakhniashvili
- Proteomics and Metabolomics Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Kaja Z Lewinn
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Nicole R Bush
- Departments of Pediatrics and Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - W Alex Mason
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Frances A Tylavsky
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| |
Collapse
|
23
|
Soepnel LM, Nicolaou V, Slater C, Chidumwa G, Levitt NS, Klipstein-Grobusch K, Norris SA. Obesity and adiposity of 3- to 6-year-old children born to mothers with hyperglycaemia first detected in pregnancy in an urban South African setting. Ann Hum Biol 2021; 48:81-92. [PMID: 33955800 DOI: 10.1080/03014460.2021.1918245] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
BACKGROUND Understanding the association between maternal metabolic conditions in pregnancy and the risk of childhood overweight, a growing concern in sub-Saharan Africa (SSA), helps to identify opportunities for childhood obesity prevention. AIM To assess the association between hyperglycaemia first detected in pregnancy (HFDP) (gestational diabetes mellitus [GDM] and diabetes in pregnancy [DIP]) and child obesity and adiposity in pre-school-aged children in South Africa, independently of maternal BMI. SUBJECTS AND METHODS Measurement of anthropometry and fat mass index (FMI) by the deuterium dilution method was done for 102 3-6-year-old children born to mothers with HFDP and 102 HFDP-unexposed children. Hierarchical regression analysis and generalised structural equation modelling (GSEM) were performed. RESULTS The prevalence of overweight/obesity was 10.5% and 11.1% in children exposed to GDM and DIP, respectively, and 3.9% in the HFDP-unexposed group. Log-transformed FMI was significantly higher in the DIP-exposed group (β = 0.166, 95% CI = 0.014-0.217 p= .026), but not when adjusting for maternal pregnancy BMI (β = 0.226, 95% CI = 0.003-0.015, p = .004). GSEM showed significant total effects of maternal BMI and birth weight on FMI/BMI. CONCLUSIONS Maternal pregnancy BMI seems to play a greater role in the development of childhood adiposity than maternal hyperglycaemia, requiring further research and identifying maternal BMI as a relevant prevention target in our setting.
Collapse
Affiliation(s)
- Larske M Soepnel
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Veronique Nicolaou
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Glory Chidumwa
- Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Naomi S Levitt
- Department of Medicine, Chronic Disease Initiative for Africa, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Kerstin Klipstein-Grobusch
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Shane A Norris
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Global Health Research Institute, School of Human Development and Health, University of Southampton, Southampton, UK
| |
Collapse
|
24
|
Bulut AN, Ceyhan V, Demir MB, Ak M, Dolanbay M. Exercise and outcomes in macrosomic pregnancies. J Matern Fetal Neonatal Med 2021; 34:3958-3962. [PMID: 33843420 DOI: 10.1080/14767058.2021.1875447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE Pregnancy is generally known to be a period when physical activity is partially or totally restricted to avoid negative outcomes such as miscarriage or premature birth. The aim of this study was to evaluate the effect on maternal and fetal outcomes of exercise in pregnancies complicated by macrosomia. MATERIAL AND METHOD In this retrospective study, the data were retrospectively screened of women who gave birth at ≥38 weeks with infant birthweight of ≥4000 gr. The patients were separated into two groups as those who followed an exercise program of walking regularly for 30-60 mins at least 1 day a week throughout pregnancy and those who did not. The maternal and fetal complications were compared between the groups. A total of 252 patients were included in the study as 84 women who exercised during pregnancy and 168 women selected at random in the ratio of 2:1 who did not exercise. RESULTS When the gestational week at birth was examined, a statistically significantly higher rate of patients in the non-exercise group gave birth at ≥40 gestational weeks. Although not at a statistically significant level, maternal and fetal complications were observed more in the non-exercise group. CONCLUSIONS The results of this study showed that excessive maternal weight gain was statistically significantly reduced, and although not at a statistically significant level, maternal and fetal trauma were reduced in macrosomic pregnancies with regular exercise. As recommended by ACOG, for pregnant women at risk of macrosomic fetus, exercise of walking for 30-60 mins several days a week will have positive effects on both the mother and infant.
Collapse
Affiliation(s)
- Ayca Nazli Bulut
- Department of Obstetrics and Gynecology, Kayseri Training and Research Hospital, Kayseri, Turkey
| | - Venhar Ceyhan
- Department of Obstetrics and Gynecology, Kayseri Training and Research Hospital, Kayseri, Turkey
| | - Mustafa Bertan Demir
- Department of Obstetrics and Gynecology, Kayseri Training and Research Hospital, Kayseri, Turkey
| | - Mehmet Ak
- Department of Obstetrics and Gynecology, Kayseri Training and Research Hospital, Kayseri, Turkey
| | - Mehmet Dolanbay
- Department of Obstetrics and Gynecology, Erciyes University, Faculty of Medicine, Kayseri, Turkey
| |
Collapse
|
25
|
Cai S, Aris IM, Yuan WL, Tan KH, Godfrey KM, Gluckman PD, Shek LPC, Chong YS, Yap F, Fortier MV, Meaney MJ, Lee YS, Qiu A. Neonatal amygdala microstructure mediates the relationship between gestational glycemia and offspring adiposity. BMJ Open Diabetes Res Care 2021; 9:e001396. [PMID: 33888539 PMCID: PMC8070871 DOI: 10.1136/bmjdrc-2020-001396] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 03/24/2021] [Accepted: 04/03/2021] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION To determine if variations in the neonatal amygdala mediate the association between maternal antenatal glycemia and offspring adiposity in early childhood. RESEARCH DESIGN AND METHODS 123 non-obese pregnant women with no pregnancy complications aside from gestational diabetes underwent a 75 g 2-hour oral glucose tolerance test at 26-28 weeks' gestation. Volume and fractional anisotropy (FA) of the neonatal amygdala (5-17 days old) were measured by MRI. The Body Mass Index (BMI) z-scores and sum of skinfold thickness (subscapular and triceps) of these children were tracked up to 60 months of age (18, 24, 36, 48, 54 and 60 months). RESULTS Maternal fasting glucose levels were positively associated with the offspring's sum of skinfold thickness at age 48 months (β=3.12, 95% CI 0.18 to 6.06 mm) and 60 months (β=4.14, 95% CI 0.46 to 7.82 mm) and BMI z-scores at 48 months (β=0.94, 95% CI 0.03 to 1.85), 54 months (β=0.74, 95% CI 0.12 to 1.36) and 60 months (β=0.74, 95% CI 0.08 to 1.39). Maternal fasting glucose was negatively associated with the offspring's FA of the right amygdala (β=-0.019, 95% CI -0.036 to -0.003). Right amygdala FA was negatively associated with the sum of skinfold thickness in the offspring at age 48 months (β=-56.95, 95% CI -98.43 to -15.47 mm), 54 months (β=-46.18, 95% CI -88.57 to -3.78 mm), and 60 months (β=-53.69, 95% CI -105.74 to -1.64 mm). The effect sizes mediated by right amygdala FA between fasting glucose and sum of skinfolds were estimated at β=5.14 (95% CI 0.74 to 9.53) mm (p=0.022), β=4.40 (95% CI 0.08 to 8.72) (p=0.049) mm and β=4.56 (95% CI -0.17 to 9.29) mm (p=0.059) at 48, 54 and 60 months, respectively. CONCLUSIONS In the offspring of non-obese mothers, gestational fasting glucose concentration is negatively associated with neonatal right amygdala FA and positively associated with childhood adiposity. Neonatal right amygdala FA may be a potential mediator between maternal glycemia and childhood adiposity.
Collapse
Affiliation(s)
- Shirong Cai
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
- Department for Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Wen Lun Yuan
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore
- Duke-NUS Medical School, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
- The Liggins Institute, The University of Auckland, Aukland, New Zealand
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
- Department for Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Fabian Yap
- Department of Pediatric Endocrinology, KK Women's and Children's Hospital, Singapore
| | - Marielle V Fortier
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
- Departments of Psychiatry and Neurology and Neurosurgery, McGill University, Montreal, Québec, Canada
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore
| |
Collapse
|
26
|
Rossiter C, Cheng H, Appleton J, Campbell KJ, Denney-Wilson E. Addressing obesity in the first 1000 days in high risk infants: Systematic review. MATERNAL AND CHILD NUTRITION 2021; 17:e13178. [PMID: 33780128 PMCID: PMC8189222 DOI: 10.1111/mcn.13178] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 02/14/2021] [Accepted: 02/16/2021] [Indexed: 12/11/2022]
Abstract
Early intervention is critical for addressing the challenge of childhood obesity. Yet many preventive interventions do not target infants most at risk of future overweight or obesity. This systematic review examines interventions delivered before 2 years that aim to ameliorate excess weight gain among infants at high risk of overweight or obesity, due to sociodemographic characteristics, parental weight or health status, infant feeding or health behaviours. We searched six databases for interventions: (a) delivered before age two, (b) specifically aimed at infants at high risk of childhood obesity and (c) that reported outcomes by weight status beyond 28 days. The search identified over 27,000 titles, and 49 papers from 38 studies met inclusion criteria: 10 antenatal interventions, 16 postnatal and 12 conducted both before and after birth. Nearly all targeted infant and/or maternal nutrition. Studies varied widely in design, obesity risk factors, outcomes and quality. Overall, nine interventions of varying quality reported some evidence of significantly improved child weight trajectory, although effects tended to diminish over time. Interventions that improved weight outcomes tended to engage parents for a longer period, and most offered health professional input and support. Two studies of limited quality reported significantly worse weight outcomes in the intervention group.
Collapse
Affiliation(s)
- Chris Rossiter
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Heilok Cheng
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Jessica Appleton
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Sydney Institute for Women, Children and their Families, Sydney, New South Wales, Australia.,Tresillian Family Care Centres, Belmore, New South Wales, Australia
| | - Karen J Campbell
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Burwood, Victoria, Australia
| | - Elizabeth Denney-Wilson
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Sydney Institute for Women, Children and their Families, Sydney, New South Wales, Australia
| |
Collapse
|
27
|
Stevens DR, Neelon B, Roberts JR, Taylor SN, Newman RB, Vena JE, Hunt KJ. Mediation of the association between maternal pre-pregnancy overweight/obesity and childhood overweight/obesity by birth anthropometry. J Dev Orig Health Dis 2021; 12:71-78. [PMID: 32077839 PMCID: PMC7438242 DOI: 10.1017/s2040174420000033] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The mechanism through which developmental programming of offspring overweight/obesity following in utero exposure to maternal overweight/obesity operates is unknown but may operate through biologic pathways involving offspring anthropometry at birth. Thus, we sought to examine to what extent the association between in utero exposure to maternal overweight/obesity and childhood overweight/obesity is mediated by birth anthropometry. Analyses were conducted on a retrospective cohort with data obtained from one hospital system. A natural effects model framework was used to estimate the natural direct effect and natural indirect effect of birth anthropometry (weight, length, head circumference, ponderal index, and small-for-gestational age [SGA] or large-for-gestational age [LGA]) for the association between pre-pregnancy maternal body mass index (BMI) category (overweight/obese vs normal weight) and offspring overweight/obesity in childhood. Models were adjusted for maternal and child socio-demographics. Three thousand nine hundred and fifty mother-child dyads were included in analyses (1467 [57.8%] of mothers and 913 [34.4%] of children were overweight/obese). Results suggest that a small percentage of the effect of maternal pre-pregnancy BMI overweight/obesity on offspring overweight/obesity operated through offspring anthropometry at birth (weight: 15.5%, length: 5.2%, head circumference: 8.5%, ponderal index: 2.2%, SGA: 2.9%, and LGA: 4.2%). There was a small increase in the percentage mediated when gestational diabetes or hypertensive disorders were added to the models. Our study suggests that some measures of birth anthropometry mediate the association between maternal pre-pregnancy overweight/obesity and offspring overweight/obesity in childhood and that the size of this mediated effect is small.
Collapse
Affiliation(s)
- Danielle R. Stevens
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Brian Neelon
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
| | - James R. Roberts
- Department of Pediatrics, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Sarah N. Taylor
- Department of Pediatrics, Yale School of Medicine, New Haven, CT 06520, USA
| | - Roger B. Newman
- Department of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC 29425, USA
| | - John E. Vena
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Kelly J. Hunt
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
| |
Collapse
|
28
|
Sheiner E. Gestational Diabetes Mellitus: Long-Term Consequences for the Mother and Child Grand Challenge: How to Move on Towards Secondary Prevention? FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2020; 1:546256. [PMID: 36993989 PMCID: PMC10041873 DOI: 10.3389/fcdhc.2020.546256] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 10/12/2020] [Indexed: 03/28/2023]
|
29
|
Zhu Y, Hedderson MM, Sridhar S, Xu F, Feng J, Ferrara A. Poor diet quality in pregnancy is associated with increased risk of excess fetal growth: a prospective multi-racial/ethnic cohort study. Int J Epidemiol 2020; 48:423-432. [PMID: 30590563 DOI: 10.1093/ije/dyy285] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2018] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Nutritional perturbations during pregnancy may impact fetal and long-term childhood growth, although there are limited data on overall diet quality. We investigated whether diet quality, measured by the Healthy Eating Index-2010 (HEI-2010), during pregnancy was related to birthweight z-score (BWZ) and the clinically relevant birth outcomes of large- and small-for-gestational age (LGA and SGA). METHODS In a prospective cohort of 2269 multi-racial/ethnic women from the Pregnancy Environment and Lifestyle Study (2014-2017), dietary intake was assessed by a food frequency questionnaire during early pregnancy. Offspring BWZ and LGA or SGA were derived based on gestational age-, sex-, and racial/ethnic-specific birthweight distributions. Multivariable linear and Poisson regression with robust standard errors were used. RESULTS About 80% of women did not achieve good diet quality (HEI-2010 < 80). After adjusting for covariates, infants born to women in the lowest vs highest quartile of HEI-2010 (37.5-64.4 vs 78.7-94.2) had a 0.12 standard-deviation [95% confidence interval (CI) 0.01-0.23, P-for-trend = 0.023] greater BWZ and 1.76-fold (1.08-2.87, P-for-trend = 0.037) increased risk of LGA. No association was observed between HEI-2010 and SGA. Per-5-point substitution of the reversely coded empty calories component score with the whole grains component score in the HEI-2010 was related to a 25% (95% CI 0.66-0.86) lower risk of LGA. CONCLUSIONS Poor diet quality in pregnancy was associated with higher birthweight and increased risk of LGA independent of maternal obesity and other covariates. Substitution of empty calories with whole grains may mitigate the risk of excess fetal growth. Our findings may inform potential prevention strategies and dietary guidelines for pregnant women.
Collapse
Affiliation(s)
- Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Monique M Hedderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Sneha Sridhar
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Fei Xu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Juanran Feng
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| |
Collapse
|
30
|
Landon MB, Mele L, Varner MW, Casey BM, Reddy UM, Wapner RJ, Rouse DJ, Tita ATN, Thorp JM, Chien EK, Saade G, Grobman W, Blackwell SC, VanDorsten JP. The relationship of maternal glycemia to childhood obesity and metabolic dysfunction ‡. J Matern Fetal Neonatal Med 2020; 33:33-41. [PMID: 30021494 PMCID: PMC6338534 DOI: 10.1080/14767058.2018.1484094] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 05/14/2018] [Accepted: 05/30/2018] [Indexed: 12/13/2022]
Abstract
Objective: To determine the association of maternal glycemia with childhood obesity and metabolic dysfunction.Study design: Secondary analysis of follow-up data 5-10 years after a mild gestational diabetes mellitus (GDM) treatment trial. The relationship between maternal oral glucose tolerance testing (OGTT) at 24-31-week gestation and body mass index (BMI), fasting glucose, insulin, and anthropometric measurements (sum of skinfolds, subscapular/triceps ratio, and waist circumference) in the offspring of untreated mild GDM and non-GDM (abnormal 50-g screen/normal OGTT) women was assessed. Multivariable regression modeling controlling for maternal and neonatal characteristics was employed.Results: A cohort of 236 untreated mild GDM and 480 non-GDM offspring were analyzed. In the combined cohort, significant correlations existed between fasting, 1, 2, and 3 h maternal glucose and subscapular/triceps ratio (all p < .04) and in all OGTT values other than the 2-hour value for homeostatic model assessment-estimated insulin resistance (HOMA-IR) (all p < .04) and sum of skinfold measurements (all p < .03). No correlation was found between OGTT values and childhood BMI Z-score. Multivariable regression modeling showed that OGTT values were associated with only sum of skinfolds and subscapular/triceps ratio and not with childhood BMI Z-score. Hispanic ethnicity and prepregnancy maternal BMI were most consistently related to childhood BMI Z-score and HOMA-IR, and Hispanic ethnicity with fasting glucose.Conclusions: Among women with untreated mild GDM and those without GDM, maternal glycemia is associated with childhood anthropometric measures of obesity but not childhood BMI, fasting glucose, or insulin resistance. Hispanic ethnicity, maternal BMI, and gestational weight gain were consistently related to childhood BMI.
Collapse
Affiliation(s)
- Mark B. Landon
- Department of Obstetrics and Gynecology, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Lisa Mele
- George Washington University Biostatistics Center, Washington, DC, USA
| | | | - Brian M. Casey
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Uma M. Reddy
- Department of Obstetrics and Gynecology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - Ronald J. Wapner
- Department of Obstetrics and Gynecology, Columbia University, New York, NY, USA
| | - Dwight J. Rouse
- Department of Obstetrics and Gynecology, Brown University, Providence, RI, USA
| | - Alan T. N. Tita
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John M. Thorp
- Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, NC, USA
| | - Edward K. Chien
- Department of Obstetrics and Gynecology, Case Western Reserve University-MetroHealth Medical Center, Cleveland, OH, USA
| | - George Saade
- University of Texas Medical Branch, Galveston, TX, USA
| | - William Grobman
- Department of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA
| | - Sean C. Blackwell
- University of Texas Health Science Center at Houston-Children’s Memorial Hermann Hospital, Houston, TX, USA
| | - J. Peter VanDorsten
- Department of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC, USA
| |
Collapse
|
31
|
Pereda J, Bove I, Pineyro MM. Excessive Maternal Weight and Diabetes Are Risk Factors for Macrosomia: A Cross-Sectional Study of 42,663 Pregnancies in Uruguay. Front Endocrinol (Lausanne) 2020; 11:588443. [PMID: 33224106 PMCID: PMC7669744 DOI: 10.3389/fendo.2020.588443] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 10/09/2020] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To evaluate the risk of macrosomia in newborns from women with gestational diabetes, pregestational diabetes, overweight, and obesity in Uruguay in 2012, as well as its association with prolonged pregnancy, maternal age, multiparity, and excessive gestational weight gain (EGWG). METHODS We performed a cross-sectional study of 42,663 pregnant women. The risk of macrosomia was studied using logistic regression. RESULTS Mean maternal age was 26.7 ± 6.8 years. Pregestational overweight and obesity was present in 20.9% and 10.7% of women, respectively. There were 28.1% and 19.8% of women overweight and obese at the end of the pregnancy, respectively. Furthermore, 0.5% had pregestational diabetes and 8.5% were multiparous. Twenty two percent developed gestational diabetes and 44.9% had EGWG. The prevalence of macrosomia was 7.9%, significantly more prevalent in males (10.0% vs. 5.5%, p<0.005). Univariate analysis showed that obesity and overweight pre-pregnancy, obesity and overweight at the end of pregnancy, EGWG, pregestational diabetes, gestational diabetes, multiparity, prolonged pregnancy, and male newborn were strongly associated with macrosomia (p<0.0001). Maternal age >35 years did not increase the risk of macrosomia. After multiple logistic regression macrosomia was more likely in pre-gestational obese women (OR 1.24; CI 1.07-1.44), overweight women at the end of pregnancy (OR 1.66; CI 1.46-1.87), obese women at the end of pregnancy (OR 2.21; CI 1.90-2.58), women with EGWG (OR 1.78; CI 1.59-1.98), pregestational diabetes (OR 1.75; CI 1.15-2.69), gestational diabetes (OR 1.39; CI 1.25-1.53), prolonged pregnancy (OR 2.67; CI 2.28-3.12), multiparity (OR 1.24; CI 1.04-1.48), and male newborn (OR 1.89; CI 1.72-2.08). CONCLUSION Maternal overweight, obesity, EGWG, and gestational diabetes are prevalent in Uruguay, increasing the risk of macrosomia. Efforts to implement strategies to decrease the prevalence of overweight and obesity among women of reproductive age are essential to improve maternal and neonatal outcomes.
Collapse
Affiliation(s)
- Jimena Pereda
- Clinica de Endocrinología y Metabolismo, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Isabel Bove
- Departamento de Ciencias Cognitivas y de la Salud, Universidad Católica del Uruguay, Montevideo, Uruguay
| | - Maria M. Pineyro
- Clinica de Endocrinología y Metabolismo, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
- *Correspondence: Maria M. Pineyro, ; orcid.org/0000-0003-2083-7839
| |
Collapse
|
32
|
Dunton M, Inglett S, Marin T. Influences of Maternal Prepregnancy Obesity and Gestational Diabetes Mellitus on the Infant Gut Microbiome in Full-Term Infants. J Perinat Neonatal Nurs 2020; 34:251-256. [PMID: 32697545 DOI: 10.1097/jpn.0000000000000504] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
This review examines the current evidence of how prepregnancy obesity (PPO) and gestational diabetes mellitus (GDM) influence the newborn gut microbiome. Scientific gaps in the literature are described to guide future research in this area. The prevalence of PPO and GDM increased to 64% in the United States over the past decade. Prepregnancy obesity and GDM influence newborn gut microbiome and contribute to adverse short- and long-term outcomes in full-term infants. This review aims to discuss current research findings related to the associations between PPO and GDM, separately, and together, on infant gut microbiome outcomes, provide an overview of short-term and long-term outcomes, describe clinical relevance, and identify avenues for future scientific inquiry. This review found that PPO and GDM influence infant gut microbiomes. Infants born to women with PPO and GDM were found to have lower levels of diversity in gut microbiota than infants born to normal prepregnancy weight women and those born to women without GDM.
Collapse
Affiliation(s)
- Montana Dunton
- Departments of Biobehavioral Nursing (Ms Dunton and Dr Inglett) and Physiological and Technological Nursing (Dr Marin), Augusta University College of Nursing, Augusta, Georgia
| | | | | |
Collapse
|
33
|
Zhang Y, Chen Z, Cao Z, Zhang Y, Yao C, Qiu L, Li Y, Xu S, Zhou A, Xia W. Associations of maternal glycemia and prepregnancy BMI with early childhood growth: a prospective cohort study. Ann N Y Acad Sci 2019; 1465:89-98. [PMID: 31647576 DOI: 10.1111/nyas.14258] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 08/28/2019] [Accepted: 09/24/2019] [Indexed: 11/29/2022]
Abstract
The prevalence of maternal and child overweight/obesity and gestational hyperglycemia has increased greatly in China in recent years. However, studies examining the relationship between maternal hyperglycemia, maternal prepregnancy body mass index (ppBMI), and offspring obesity in China are limited. Here, we conducted a prospective study of 6684 mother-child pairs in Wuhan, China in 2012-2015. Maternal glucose concentrations were measured at approximately 24-28 weeks of gestation; children's weight and length were measured at birth and at 6, 12, and 24 months of age; and BMI-for-age Z-scores (BMIZ) were calculated for different time points. We found that maternal fasting plasma glucose (FPG) concentrations were positively associated with offspring ponderal index and the risk of macrosomia at birth, but not with BMIZ or the risk of overweight/obesity at 6, 12, and 24 months of age. By contrast, maternal ppBMI was positively associated with both an increased risk of macrosomia at birth and overweight/obesity at 6, 12, and 24 months of age. Here, we observed an interaction effect of the association of FPG and ppBMI on offspring macrosomia and a mediating effect of gestational diabetes mellitus on the pathway between ppBMI and macrosomia. Our findings suggest that maternal ppBMI is a more pronounced predictor than gestational FPG concentrations in both the relation to BMIZ and the risk of overweight/obesity in early childhood.
Collapse
Affiliation(s)
- Yaqi Zhang
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.,Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Zhong Chen
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Zhongqiang Cao
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Yiming Zhang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Cong Yao
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Lin Qiu
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Shunqing Xu
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Aifen Zhou
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Wei Xia
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| |
Collapse
|
34
|
Effects of probiotics on blood glucose, biomarkers of inflammation and oxidative stress in pregnant women with gestational diabetes mellitus: A meta-analysis of randomized controlled trials. Med Clin (Barc) 2019; 154:199-206. [PMID: 31630848 DOI: 10.1016/j.medcli.2019.05.041] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 05/16/2019] [Accepted: 05/23/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND The role of probiotics supplementation in gestational diabetes mellitus (GDM) remains controversial. We conducted this meta-analysis to investigate the effects of probiotics on fasting blood glucose (FBG), high-sensitivity C-reactive protein (hs-CRP), total glutathione (GSH), malonaldehyde (MDA) and nitric oxide (NO) levels in pregnant women with GDM. METHODS We systematically searched the Cochrane Library, Embase and PubMed electronic databases up to November 2018. A meta-analysis was then conducted using weighted mean difference (WMD) and 95% confidence interval (CI) as effect measures. RESULTS A total of 7 studies were enrolled in the final meta-analysis. Data showed that probiotics reduced FBG (WMD: -3.19mg/dl, 95% CI: -5.55 to -0.82, P=0.008) in pregnant women with GDM. Sub-group analysis suggested that the effect of probiotics on lowering FBG was more significant in patients with a baseline FBG ≥92mg/dl (WMD: -3.62mg/dl, 95% CI: -6.64 to -0.60, P=0.019), a duration of probiotic treatment ≤6 weeks (WMD: -3.24mg/dl, 95% CI: -4.96 to -1.53, P=0.000) and a dose<6×109 colony-forming unit (CFU) (WMD: -3.37mg/dl, 95% CI: -6.64 to -0.10, P=0.043). In addition, probiotics were effective in reducing hs-CRP and MDA in pregnant women with GDM, but had no significant effect on either GSH or NO. CONCLUSION This meta-analysis suggests that probiotics supplementation might have a small effect on the reduction of FBG in pregnant women with GDM, and might have certain effects on some biomarkers of inflammation and oxidative stress. However, given the heterogeneity between studies, the results should be interpreted with caution but are worthy of further investigation.
Collapse
|
35
|
Bélanger M, Dugas C, Perron J, Ruchat SM, Weisnagel SJ, Marc I, Tchernof A, Robitaille J. Association between lifestyle habits and adiposity values among children exposed and unexposed to gestational diabetes mellitus in utero. Diabetes Metab Syndr 2019; 13:2947-2952. [PMID: 31425961 DOI: 10.1016/j.dsx.2019.07.053] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 07/29/2019] [Indexed: 12/25/2022]
Abstract
AIMS The objectives of this study were to assess the profile of lifestyle habits among children exposed (GDM+) or unexposed (GDM-) to GDM and to assess whether a healthy lifestyle profile is associated with lower adiposity values among these children. METHODS A total of 105 GDM+ and 38 GDM- children aged 2-14 years were included. Vegetables and fruit intakes were collected using two 24-h dietary recalls. Physical activity and sedentary time were measured with accelerometers. Screen and sleep time were assessed using questionnaires. Weight, height and waist circumference were measured. Body composition was assessed by absorptiometry. RESULTS GDM+ children had lower moderate-to-vigorous physical activity practice (p = 0.043) and fruit intake (p = 0.020) than GDM- children. Among children with an unhealthy lifestyle (meeting 0-2 lifestyle recommendations), GDM+ children had greater percentage of fat mass (p = 0.021) and android fat mass (p = 0.020) than GDM- children. Moreover, among GDM+ children, children with a healthy lifestyle (meeting 3-4 lifestyle recommendations) tended to have lower percentage of fat mass (p = 0.053) and android fat mass (p = 0.071) than those with an unhealthy lifestyle. CONCLUSION Improving lifestyle habits among GDM+ children could represent a promising approach to prevent deteriorated adiposity values.
Collapse
Affiliation(s)
- Mélissa Bélanger
- School of Nutrition, Laval University, Québec, Québec, Canada; Institute of Nutrition and Functional Foods (INAF), Laval University, Québec, Québec, Canada
| | - Camille Dugas
- School of Nutrition, Laval University, Québec, Québec, Canada; Institute of Nutrition and Functional Foods (INAF), Laval University, Québec, Québec, Canada
| | - Julie Perron
- Institute of Nutrition and Functional Foods (INAF), Laval University, Québec, Québec, Canada
| | - Stephanie-May Ruchat
- Department of Human Kinetics, Université du Québec à Trois-Rivières, Trois-Rivières, Québec, Canada
| | - S John Weisnagel
- Endocrinology and Nephrology Axis, CHU de Quebec Research Center, Québec, Québec, Canada; Diabetes Research Unit, Laval University Medical Research Center, Québec, Québec, Canada
| | - Isabelle Marc
- Department of Pediatrics, Laval University, CHU de Quebec Research Center, Québec, Québec, Canada
| | - André Tchernof
- School of Nutrition, Laval University, Québec, Québec, Canada; Quebec Heart and Lung Institute, Laval University, Québec, Québec, Canada
| | - Julie Robitaille
- School of Nutrition, Laval University, Québec, Québec, Canada; Institute of Nutrition and Functional Foods (INAF), Laval University, Québec, Québec, Canada; Endocrinology and Nephrology Axis, CHU de Quebec Research Center, Québec, Québec, Canada.
| |
Collapse
|
36
|
Abstract
PURPOSE OF REVIEW A growing body of epidemiological and experimental data indicate that nutritional or environmental stressors during early development can induce long-term adaptations that increase risk of obesity, diabetes, cardiovascular disease, and other chronic conditions-a phenomenon termed "developmental programming." A common phenotype in humans and animal models is altered body composition, with reduced muscle and bone mass, and increased fat mass. In this review, we summarize the recent literature linking prenatal factors to future body composition and explore contributing mechanisms. RECENT FINDINGS Many prenatal exposures, including intrauterine growth restriction, extremes of birth weight, maternal obesity, and maternal diabetes, are associated with increased fat mass, reduced muscle mass, and decreased bone density, with effects reported throughout infancy and childhood, and persisting into middle age. Mechanisms and mediators include maternal diet, breastmilk composition, metabolites, appetite regulation, genetic and epigenetic influences, stem cell commitment and function, and mitochondrial metabolism. Differences in body composition are a common phenotype following disruptions to the prenatal environment, and may contribute to developmental programming of obesity and diabetes risk.
Collapse
Affiliation(s)
- Elvira Isganaitis
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
- Research Division, Joslin Diabetes Center, 1 Joslin Place, Room 655A, Boston, 02215, MA, USA.
| |
Collapse
|
37
|
Ziauddeen N, Wilding S, Roderick PJ, Macklon NS, Alwan NA. Is maternal weight gain between pregnancies associated with risk of large-for-gestational age birth? Analysis of a UK population-based cohort. BMJ Open 2019; 9:e026220. [PMID: 31289065 PMCID: PMC6615839 DOI: 10.1136/bmjopen-2018-026220] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
OBJECTIVE Maternal overweight and obesity during pregnancy increases the risk of large-for-gestational age (LGA) birth and childhood obesity. We aimed to investigate the association between maternal weight change between subsequent pregnancies and risk of having a LGA birth. DESIGN Population-based cohort. SETTING Routinely collected antenatal healthcare data between January 2003 and September 2017 at University Hospital Southampton, England. PARTICIPANTS Health records of women with their first two consecutive singleton live-birth pregnancies were analysed (n=15 940). PRIMARY OUTCOME MEASURE Risk of LGA, recurrent LGA and new LGA births in the second pregnancy. RESULTS Of the 15 940 women, 16.0% lost and 47.7% gained weight (≥1 kg/m2) between pregnancies. A lower proportion of babies born to women who lost ≥1 kg/m2 (12.4%) and remained weight stable between -1 and 1 kg/m2 (11.9%) between pregnancies were LGA compared with 13.5% and 15.9% in women who gained 1-3 and ≥3 kg/m2, respectively. The highest proportion was in obese women who gained ≥3 kg/m2 (21.2%). Overweight women had a reduced risk of recurrent LGA in the second pregnancy if they lost ≥1 kg/m2 (adjusted relative risk (aRR) 0.69, 95% CI 0.48 to 0.97) whereas overweight women who gained ≥3 kg/m2 were at increased risk of new LGA after having a non-LGA birth in their first pregnancy (aRR 1.35, 95% CI 1.05 to 1.75). Normal-weight women who gained weight were also at increased risk of new LGA in the second pregnancy (aRR 1.26, 95% CI 1.06 to 1.50 with gain of 1-3 kg/m2 and aRR 1.34, 95% CI 1.09 to 1.65 with gain of ≥3 kg/m2). CONCLUSIONS Losing weight after an LGA birth was associated with a reduced LGA risk in the next pregnancy in overweight women, while interpregnancy weight gain was associated with an increased new LGA risk. Preventing weight gain between pregnancies is an important measure to achieve better maternal and offspring outcomes.
Collapse
Affiliation(s)
- Nida Ziauddeen
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Sam Wilding
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Paul J Roderick
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Nicholas S Macklon
- Department of Obstetrics and Gynaecology, University of Copenhagen, Zealand University Hospital, Roskilde, Denmark
- London Women's Clinic, London, UK
| | - Nisreen A Alwan
- School of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| |
Collapse
|
38
|
Price SA, Sumithran P, Nankervis A, Permezel M, Proietto J. Preconception management of women with obesity: A systematic review. Obes Rev 2019; 20:510-526. [PMID: 30549166 DOI: 10.1111/obr.12804] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 09/18/2018] [Accepted: 09/18/2018] [Indexed: 12/11/2022]
Abstract
The prevalence of women of child-bearing age with obesity continues to rise at an alarming rate. This has significant implications for both the short-term and long-term health of mother and offspring. Given the paucity of evidence-based literature in this field, the preconception management of women with obesity is highly variable both between institutions and around the world. This systematic review aims to evaluate studies that inform us about the role of preconception weight loss in the fertility and pregnancy outcomes of women with obesity. Current therapeutic interventions are discussed, with a specific focus on the suitability of weight loss interventions for women with obesity planning pregnancy. There are significant knowledge gaps in the current literature; these are discussed and areas for future research are explored.
Collapse
Affiliation(s)
- Sarah A Price
- Department of Medicine (Austin Health), University of Melbourne, Heidelberg Heights, Victoria, Australia
| | - Priya Sumithran
- Department of Medicine (Austin Health), University of Melbourne, Heidelberg Heights, Victoria, Australia
| | | | - Michael Permezel
- Department of Obstetrics and Gynaecology (Mercy Hospital for Women), University of Melbourne, Heidelberg, Victoria, Australia
| | - Joseph Proietto
- Department of Medicine (Austin Health), University of Melbourne, Heidelberg Heights, Victoria, Australia
| |
Collapse
|
39
|
Xie K, Chen T, Zhang Y, Wen J, Cui X, You L, Zhu L, Xu B, Ji C, Guo X. Association of rs10830962 polymorphism with gestational diabetes mellitus risk in a Chinese population. Sci Rep 2019; 9:5357. [PMID: 30926842 PMCID: PMC6440982 DOI: 10.1038/s41598-019-41605-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 02/22/2019] [Indexed: 12/16/2022] Open
Abstract
To date, only three polymorphisms (rs10830962, rs7754840 and rs1470579) are included in the genome-wide association study Catalog (www.ebi.ac.uk/gwas). However, the available evidence is limited in pregnant Chinese women. We aimed to explore the associations of three polymorphisms (rs10830962, rs7754840 and rs1470579) with GDM risk in a Chinese population. We conducted a case-control study (964 GDM cases and 1,021 controls) to evaluate the associations of these polymorphisms with GDM risk. A logistic regression model was used to calculate odds ratios (ORs) and their confidence intervals (CIs). After adjustment for age, prepregnancy BMI, parity, abnormal pregnancy history and family history of diabetes, the minor allele of rs10830962 (C > G) demonstrated a significant association with an increased risk of GDM (OR = 1.16, 95% CI = 1.02–1.31, P = 0.029 in the additive model). However, no significant association was observed between the other two polymorphisms and GDM. Subsequent functional annotation shows that rs10830962 is located in the regulatory elements of pancreatic islets, alters the binding affinity of motifs and regulates SNORA8 expression. Our findings demonstrate that rs10830962 is associated with an increased risk of GDM in the Chinese population. Further functional characterization is warranted to uncover the mechanism of the genotype-phenotype association.
Collapse
Affiliation(s)
- Kaipeng Xie
- Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Ting Chen
- Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Yue Zhang
- School of Information Management, Nanjing University, Nanjing, China
| | - Juan Wen
- Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Xianwei Cui
- Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Lianghui You
- Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Lijun Zhu
- Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Bo Xu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, China
| | - Chenbo Ji
- Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
| | - Xirong Guo
- Women's Hospital of Nanjing Medical University, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
| |
Collapse
|
40
|
Antikainen L, Jääskeläinen J, Nordman H, Voutilainen R, Huopio H. Prepubertal Children Exposed to Maternal Gestational Diabetes Have Latent Low-Grade Inflammation. Horm Res Paediatr 2019; 90:109-115. [PMID: 30110707 DOI: 10.1159/000491938] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 07/05/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Maternal gestational diabetes mellitus (GDM) and overweight are associated with an increased risk of obesity and the metabolic syndrome in the adult offspring. We studied the influence of maternal GDM on prepubertal children's height, weight, body mass index (BMI), lipid and glucose metabolism, and low-grade inflammation. METHODS A cohort of 135 prepubertal Caucasian children (age range 4.4-9.7 years) was studied in a controlled cross-sectional study. Seventy-seven children had been exposed to maternal GDM, and 58 children born after a normal pregnancy served as controls. The outcomes were height, weight, BMI, blood pressure, and biochemical markers of glucose and lipid metabolism and inflammation. RESULTS There were no differences in height, weight, BMI, fasting serum insulin, plasma glucose, lipids, or blood pressure between the study groups. However, high-sensitivity C-reactive protein (hs-CRP) was significantly higher in the GDM group than in the controls (p = 0.001). CONCLUSIONS Higher hs-CRP as a marker of low-grade inflammation was detected in prepubertal children exposed to maternal GDM, but no differences were seen in height, weight, BMI, or markers of glucose and lipid metabolism compared to control children. This finding may reflect an ongoing process of metabolic changes in children born after a GDM pregnancy.
Collapse
Affiliation(s)
- Leena Antikainen
- Department of Pediatrics, University of Eastern Finland, Kuopio, Finland.,Department of Pediatrics, Kuopio University Hospital, Kuopio, Finland
| | - Jarmo Jääskeläinen
- Department of Pediatrics, University of Eastern Finland, Kuopio, Finland.,Department of Pediatrics, Kuopio University Hospital, Kuopio, Finland
| | - Henrikki Nordman
- Department of Pediatrics, University of Eastern Finland, Kuopio, Finland.,Department of Pediatrics, Kuopio University Hospital, Kuopio, Finland
| | - Raimo Voutilainen
- Department of Pediatrics, University of Eastern Finland, Kuopio, Finland.,Department of Pediatrics, Kuopio University Hospital, Kuopio, Finland
| | - Hanna Huopio
- Department of Pediatrics, Kuopio University Hospital, Kuopio, Finland
| |
Collapse
|
41
|
Farahvar S, Walfisch A, Sheiner E. Gestational diabetes risk factors and long-term consequences for both mother and offspring: a literature review. Expert Rev Endocrinol Metab 2019; 14:63-74. [PMID: 30063409 DOI: 10.1080/17446651.2018.1476135] [Citation(s) in RCA: 116] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 05/09/2018] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Established risk factors for gestational diabetes mellitus (GDM) include ethnicity, obesity, and family history of diabetes. Untreated GDM patients have higher rates of maternal and perinatal morbidity. GDM is an independent risk factor for future longer-term risk of type 2 diabetes mellitus (T2DM), metabolic syndrome, cardiovascular morbidity, malignancies, ophthalmic, psychiatric, and renal disease in the mother. Offspring risk long-term adverse health outcomes, including T2DM, subsequent obesity, impacted neurodevelopmental outcome, increased neuropsychiatric morbidity, and ophthalmic disease. AREAS COVERED We critically review data from retrospective, prospective, and meta-analysis studies pertaining to established GDM risk factors, complications during pregnancy and birth (both mother and offspring), and long-term consequences (both mother and offspring). EXPERT COMMENTARY Many of the adverse consequences of GDM might be avoided with proper management and treatment. Patients belonging to high-risk ethnic groups, and/or with body mass index ≥ 25 kg/m2, and/or known history of diabetes in first-degree relatives may benefit from universal screening and diagnostic criteria proposed by the International Association of Diabetes and Pregnancy Study Group (IADPSG). The IADPSG one-step method has several advantages, including simplicity of execution, greater patient-friendliness, and higher diagnostic accuracy. Additionally, evidence suggests that the recent increased popularity of bariatric surgery will help to decrease GDM rates over next 5 years. Similarly, metformin may be useful for treating and preventing obstetrical complications in confirmed GDM patients.
Collapse
Affiliation(s)
- Salar Farahvar
- a Department of Obstetrics and Gynecology, Faculty of Health, Sciences, Soroka University Medical Center, Ben-Gurion , University of the Negev , Beer Sheva , Israel
| | - Asnat Walfisch
- a Department of Obstetrics and Gynecology, Faculty of Health, Sciences, Soroka University Medical Center, Ben-Gurion , University of the Negev , Beer Sheva , Israel
| | - Eyal Sheiner
- a Department of Obstetrics and Gynecology, Faculty of Health, Sciences, Soroka University Medical Center, Ben-Gurion , University of the Negev , Beer Sheva , Israel
| |
Collapse
|
42
|
Michita RT, Kaminski VDL, Chies JAB. Genetic Variants in Preeclampsia: Lessons From Studies in Latin-American Populations. Front Physiol 2018; 9:1771. [PMID: 30618791 PMCID: PMC6302048 DOI: 10.3389/fphys.2018.01771] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 11/23/2018] [Indexed: 12/13/2022] Open
Abstract
Placental vascularization is a tightly regulated physiological process in which the maternal immune system plays a fundamental role. Vascularization of the maternal-placental interface involves a wide range of mechanisms primarily orchestrated by the fetal extravillous trophoblast and maternal immune cells. In a healthy pregnancy, an immune cross-talk between the mother and fetal cells results in the secretion of immunomodulatory mediators, apoptosis of specific cells, cellular differentiation/proliferation, angiogenesis, and vasculogenesis, altogether favoring a suitable microenvironment for the developing embryo. In the context of vasculopathy underlying common pregnancy disorders, it is believed that inefficient invasion of extravillous trophoblast cells in the endometrium leads to a poor placental blood supply, which, in turn, leads to decreased secretion of angiogenic factors, hypoxia, and inflammation commonly associated with preterm delivery, intrauterine growth restriction, and preeclampsia. In this review, we will focus on studies published by Latin American research groups, providing an extensive review of the role of genetic variants from candidate genes involved in a broad spectrum of biological processes underlying the pathophysiology of preeclampsia. In addition, we will discuss how these studies contribute to fill gaps in the current understanding of preeclampsia. Finally, we discuss some trending topics from important fields associated with pregnancy vascular disorders (e.g., epigenetics, transplantation biology, and non-coding RNAs) and underscore their possible implications in the pathophysiology of preeclampsia. As a result, these efforts are expected to give an overview of the extent of scientific research produced in Latin America and encourage multicentric collaborations by highlighted regional research groups involved in preeclampsia investigation.
Collapse
Affiliation(s)
- Rafael Tomoya Michita
- Immunogenetics Laboratory, Department of Genetics, Biosciences Institute, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Valéria de Lima Kaminski
- Immunogenetics Laboratory, Department of Genetics, Biosciences Institute, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - José Artur Bogo Chies
- Immunogenetics Laboratory, Department of Genetics, Biosciences Institute, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| |
Collapse
|
43
|
Mihrshahi S, Baur LA. What exposures in early life are risk factors for childhood obesity? J Paediatr Child Health 2018; 54:1294-1298. [PMID: 30168229 DOI: 10.1111/jpc.14195] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 12/20/2017] [Accepted: 07/25/2018] [Indexed: 01/11/2023]
Abstract
Globally, estimates show that 41 million children younger than 5 years of age are affected by overweight and obesity. In many regions of the world, these prevalence rates have increased dramatically, especially in low- and middle-income countries, making childhood obesity a global policy issue. Recent data show that many children are already affected by overweight or obesity by the time they start school; hence, the examination of early exposures, with interventions around these exposures, is warranted. In this review, we outline the main modifiable exposures in early life that can lead to an increased risk of obesity. These exposures can be broadly categorised into parental factors such as obesity and gestational diabetes; dietary exposures in early life, including breastfeeding and complementary feeding and feeding behaviours; physical activity, sedentary behaviours and sleep; and environmental exposures such as maternal exposure to tobacco. We also identify research gaps and opportunities for further research.
Collapse
Affiliation(s)
- Seema Mihrshahi
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Prevention Research Collaboration, School of Public Health, Sydney, New South Wales, Australia
| | - Louise A Baur
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Prevention Research Collaboration, School of Public Health, Sydney, New South Wales, Australia.,Sydney Medical School and Children's Hospital at Westmead Clinical School, University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|
44
|
Gomes D, von Kries R, Delius M, Mansmann U, Nast M, Stubert M, Langhammer L, Haas NA, Netz H, Obermeier V, Kuhle S, Holdt LM, Teupser D, Hasbargen U, Roscher AA, Ensenauer R. Late-pregnancy dysglycemia in obese pregnancies after negative testing for gestational diabetes and risk of future childhood overweight: An interim analysis from a longitudinal mother-child cohort study. PLoS Med 2018; 15:e1002681. [PMID: 30372451 PMCID: PMC6205663 DOI: 10.1371/journal.pmed.1002681] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Accepted: 09/25/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Maternal pre-conception obesity is a strong risk factor for childhood overweight. However, prenatal mechanisms and their effects in susceptible gestational periods that contribute to this risk are not well understood. We aimed to assess the impact of late-pregnancy dysglycemia in obese pregnancies with negative testing for gestational diabetes mellitus (GDM) on long-term mother-child outcomes. METHODS AND FINDINGS The prospective cohort study Programming of Enhanced Adiposity Risk in Childhood-Early Screening (PEACHES) (n = 1,671) enrolled obese and normal weight mothers from August 2010 to December 2015 with trimester-specific data on glucose metabolism including GDM status at the end of the second trimester and maternal glycated hemoglobin (HbA1c) at delivery as a marker for late-pregnancy dysglycemia (HbA1c ≥ 5.7% [39 mmol/mol]). We assessed offspring short- and long-term outcomes up to 4 years, and maternal glucose metabolism 3.5 years postpartum. Multivariable linear and log-binomial regression with effects presented as mean increments (Δ) or relative risks (RRs) with 95% confidence intervals (CIs) were used to examine the association between late-pregnancy dysglycemia and outcomes. Linear mixed-effects models were used to study the longitudinal development of offspring body mass index (BMI) z-scores. The contribution of late-pregnancy dysglycemia to the association between maternal pre-conception obesity and offspring BMI was estimated using mediation analysis. In all, 898 mother-child pairs were included in this unplanned interim analysis. Among obese mothers with negative testing for GDM (n = 448), those with late-pregnancy dysglycemia (n = 135, 30.1%) had higher proportions of excessive total gestational weight gain (GWG), excessive third-trimester GWG, and offspring with large-for-gestational-age birth weight than those without. Besides higher birth weight (Δ 192 g, 95% CI 100-284) and cord-blood C-peptide concentration (Δ 0.10 ng/ml, 95% CI 0.02-0.17), offspring of these women had greater weight gain during early childhood (Δ BMI z-score per year 0.18, 95% CI 0.06-0.30, n = 262) and higher BMI z-score at 4 years (Δ 0.58, 95% CI 0.18-0.99, n = 43) than offspring of the obese, GDM-negative mothers with normal HbA1c values at delivery. Late-pregnancy dysglycemia in GDM-negative mothers accounted for about one-quarter of the association of maternal obesity with offspring BMI at age 4 years (n = 151). In contrast, childhood BMI z-scores were not affected by a diagnosis of GDM in obese pregnancies (GDM-positive: 0.58, 95% CI 0.36-0.79, versus GDM-negative: 0.62, 95% CI 0.44-0.79). One mechanism triggering late-pregnancy dysglycemia in obese, GDM-negative mothers was related to excessive third-trimester weight gain (RR 1.72, 95% CI 1.12-2.65). Furthermore, in the maternal population, we found a 4-fold (RR 4.01, 95% CI 1.97-8.17) increased risk of future prediabetes or diabetes if obese, GDM-negative women had a high versus normal HbA1c at delivery (absolute risk: 43.2% versus 10.5%). There is a potential for misclassification bias as the predominantly used GDM test procedure changed over the enrollment period. Further studies are required to validate the findings and elucidate the possible third-trimester factors contributing to future mother-child health status. CONCLUSIONS Findings from this interim analysis suggest that offspring of obese mothers treated because of a diagnosis of GDM appeared to have a better BMI outcome in childhood than those of obese mothers who-following negative GDM testing-remained untreated in the last trimester and developed dysglycemia. Late-pregnancy dysglycemia related to uncontrolled weight gain may contribute to the development of child overweight and maternal diabetes. Our data suggest that negative GDM testing in obese pregnancies is not an "all-clear signal" and should not lead to reduced attention and risk awareness of physicians and obese women. Effective strategies are needed to maintain third-trimester glycemic and weight gain control among otherwise healthy obese pregnant women.
Collapse
Affiliation(s)
- Delphina Gomes
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Division of Experimental Pediatrics and Metabolism, University Children's Hospital, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Social Paediatrics and Adolescent Medicine, Division of Epidemiology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Rüdiger von Kries
- Institute of Social Paediatrics and Adolescent Medicine, Division of Epidemiology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Maria Delius
- Department of Obstetrics and Gynecology, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Ulrich Mansmann
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Martha Nast
- Department of Obstetrics and Gynecology, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
- Division of Pediatric Cardiology and Intensive Care, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Martina Stubert
- Department of Obstetrics and Gynecology, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
- Division of Pediatric Cardiology and Intensive Care, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Lena Langhammer
- Division of Pediatric Cardiology and Intensive Care, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Nikolaus A. Haas
- Division of Pediatric Cardiology and Intensive Care, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Heinrich Netz
- Division of Pediatric Cardiology and Intensive Care, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Viola Obermeier
- Institute of Social Paediatrics and Adolescent Medicine, Division of Epidemiology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Stefan Kuhle
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Division of Experimental Pediatrics and Metabolism, University Children's Hospital, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Lesca M. Holdt
- Institute of Laboratory Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Daniel Teupser
- Institute of Laboratory Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Uwe Hasbargen
- Department of Obstetrics and Gynecology, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Adelbert A. Roscher
- Department of Pediatrics, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Regina Ensenauer
- Department of General Pediatrics, Neonatology and Pediatric Cardiology, Division of Experimental Pediatrics and Metabolism, University Children's Hospital, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Social Paediatrics and Adolescent Medicine, Division of Epidemiology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
- Division of Pediatric Cardiology and Intensive Care, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
- * E-mail:
| |
Collapse
|
45
|
Maternal glycemic index and glycemic load in pregnancy and offspring metabolic health in childhood and adolescence-a cohort study of 68,471 mother-offspring dyads from the Danish National Birth Cohort. Eur J Clin Nutr 2018; 73:1049-1062. [PMID: 30250133 DOI: 10.1038/s41430-018-0316-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 07/27/2018] [Accepted: 08/17/2018] [Indexed: 01/06/2023]
Abstract
BACKGROUND High glycemic index (GI) and glycemic load (GL) as indicators of carbohydrate quality and quantity have been found to increase risk of metabolic outcomes in adults. Whether carbohydrate quality may influence metabolic programming already in early life is unknown. We examined the association of maternal GI and GL with offspring body mass index (BMI) in the first 7 years of life among 68,471 mother-offspring dyads from the Danish National Birth Cohort (DNBC). In a sub-cohort of offspring with clinical data (n = 1234) that included 608 dyads exposed to gestational diabetes mellitus (GDM), we also examined the relation to metabolic health at 9-16 years. METHODS Maternal GI and GL were quantified using a mid-pregnancy food frequency questionnaire. We used birth weight and length to calculate offspring's ponderal index. Age- and sex-specific BMI z scores at 5 mo, 12 mo, and 7 y were standardized against WHO reference data. In the clinical cohort, we quantified body composition, HOMA-IR, and HOMA-B. We used multivariable mixed linear and Poisson regression to model the associations. RESULTS Median (IQR) of GI and GL were 83 (63-111) and 241 (180-333) g/day, respectively. We found that GI (Q4 vs. Q1:1.09, 95%CI: 1.03, 1.15) and GL (Q4 vs. Q1:1.10, 95%CI: 1.05, 1.16) modestly increased the relative risk of large-for gestational age (LGA). In the clinical sub-cohort, we observed a potential increase in offspring HOMA-IR, adiposity, and metabolic syndrome z score with higher maternal GI and GI. These associations were stronger among the GDM-exposed offspring, but the CI included the null value. CONCLUSION We found associations of GI and GL in pregnancy with offspring LGA. Potential long-term benefits to offspring exposed to GDM need to be confirmed in larger, well-powered studies.
Collapse
|
46
|
Effect of a lifestyle intervention during pregnancy-findings from the Finnish gestational diabetes prevention trial (RADIEL). J Perinatol 2018; 38:1157-1164. [PMID: 30042471 DOI: 10.1038/s41372-018-0178-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 06/17/2018] [Accepted: 06/26/2018] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To assess the effect of lifestyle counseling on perinatal outcomes among women at high risk for gestational diabetes. STUDY DESIGN A total of 492 women with obesity and/or prior gestational diabetes were allocated to intervention (four sessions of lifestyle counseling, n = 249) or usual care (n = 243) before 20 weeks' gestation. RESULT Lifestyle indicators, gestational weight gain, or obstetric and perinatal outcomes did not differ between the two groups. An oral glucose tolerance test in the first half of pregnancy was pathological in 37.7% (n = 87/144) of intervention and 36.5% (n = 72/197) of control group women (p = 0.81). The total incidence of gestational diabetes diagnosed in the first or second half of pregnancy was 44.8% (107/239) in the intervention and 48.1% (111/231) in the control group (p = 0.48). CONCLUSIONS The high prevalence of impaired glucose metabolism was observed already in early pregnancy, which may have contributed to the lack of effect of the intervention.
Collapse
|
47
|
Ding M, Chavarro J, Olsen S, Lin Y, Ley SH, Bao W, Rawal S, Grunnet LG, Thuesen ACB, Mills JL, Yeung E, Hinkle SN, Zhang W, Vaag A, Liu A, Hu FB, Zhang C. Genetic variants of gestational diabetes mellitus: a study of 112 SNPs among 8722 women in two independent populations. Diabetologia 2018; 61:1758-1768. [PMID: 29947923 PMCID: PMC6701842 DOI: 10.1007/s00125-018-4637-8] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 03/26/2018] [Indexed: 12/12/2022]
Abstract
AIMS/HYPOTHESIS Gestational diabetes mellitus (GDM) is a common complication of pregnancy that has substantial short- and long-term adverse health implications for women and their children. However, large-scale studies on genetic risk loci for GDM remain sparse. METHODS We conducted a case-control study among 2636 women with GDM and 6086 non-GDM control women from the Nurses' Health Study II and the Danish National Birth Cohort. A total of 112 susceptibility genetic variants confirmed by genome-wide association studies for type 2 diabetes were selected and measured. A weighted genetic risk score (GRS) was created based on variants that were significantly associated with risk of GDM after correcting for the false discovery rate. RESULTS For the first time, we identified eight variants associated with GDM, namely rs7957197 (HNF1A), rs10814916 (GLIS3), rs3802177 (SLC30A8), rs9379084 (RREB1), rs34872471 (TCF7L2), rs7903146 (TCF7L2), rs11787792 (GPSM1) and rs7041847 (GLIS3). In addition, we confirmed three variants, rs10830963 (MTNR1B), rs1387153 (MTNR1B) and rs4506565 (TCF7L2), that had previously been significantly associated with GDM risk. Furthermore, compared with participants in the first (lowest) quartile of weighted GRS based on these 11 SNPs, the ORs for GDM were 1.07 (95% CI 0.93, 1.22), 1.23 (95% CI 1.07, 1.41) and 1.53 (95% CI 1.34, 1.74) for participants in the second, third and fourth (highest) quartiles, respectively. The significant positive associations between the weighted GRS and risk of GDM persisted across most of the strata of major risk factors for GDM, including family history of type 2 diabetes, smoking status, BMI and age. CONCLUSIONS/INTERPRETATION In this large-scale case-control study with women from two independent populations, eight novel GDM SNPs were identified. These findings offer the potential to improve our understanding of the aetiology of GDM, and particularly of biological mechanisms related to beta cell function.
Collapse
Affiliation(s)
- Ming Ding
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jorge Chavarro
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sjurdur Olsen
- Centre for Fetal Programming, Statens Serum Institut, Copenhagen, Denmark
| | - Yuan Lin
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA
| | - Sylvia H Ley
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Wei Bao
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Shristi Rawal
- Department of Nutritional Sciences, School of Health Professions, Rutgers University, Newark, NJ, USA
| | - Louise G Grunnet
- Department of Endocrinology, Rigshospitalet University Hospital, Copenhagen, Denmark
| | | | - James L Mills
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA
| | - Edwina Yeung
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA
| | - Stefanie N Hinkle
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA
| | - Wei Zhang
- Centre for Fetal Programming, Statens Serum Institut, Copenhagen, Denmark
| | - Allan Vaag
- AstraZeneca, Early Clinical Development and Innovative Medicines, Mölndal, Sweden
| | - Aiyi Liu
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Cuilin Zhang
- Division of Intramural Population Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health, 6710 Rockledge Dr, Bethesda, MD, 20817, USA.
| |
Collapse
|
48
|
Wang QP, Browman D, Herzog H, Neely GG. Non-nutritive sweeteners possess a bacteriostatic effect and alter gut microbiota in mice. PLoS One 2018; 13:e0199080. [PMID: 29975731 PMCID: PMC6033410 DOI: 10.1371/journal.pone.0199080] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Accepted: 05/31/2018] [Indexed: 01/11/2023] Open
Abstract
Non-nutritive sweeteners (NNSs) are widely used in various food products and soft drinks. There is growing evidence that NNSs contribute to metabolic dysfunction and can affect body weight, glucose tolerance, appetite, and taste sensitivity. Several NNSs have also been shown to have major impacts on bacterial growth both in vitro and in vivo. Here we studied the effects of various NNSs on the growth of the intestinal bacterium, E. coli, as well as the gut bacterial phyla Bacteroidetes and Firmicutes, the balance between which is associated with gut health. We found that the synthetic sweeteners acesulfame potassium, saccharin and sucralose all exerted strong bacteriostatic effects. We found that rebaudioside A, the active ingredient in the natural NNS stevia, also had similar bacteriostatic properties, and the bacteriostatic effects of NNSs varied among different Escherichia coli strains. In mice fed a chow diet, sucralose increased Firmicutes, and we observed a synergistic effect on Firmicutes when sucralose was provided in the context of a high-fat diet. In summary, our data show that NNSs have direct bacteriostatic effects and can change the intestinal microbiota in vivo.
Collapse
Affiliation(s)
- Qiao-Ping Wang
- University of Sydney, Dr. John and Anne Chong Lab for Functional Genomics, Charles Perkins Centre, Camperdown, NSW, Australia
- University of Sydney, School of Life and Environmental Sciences, Camperdown, NSW, Australia
- School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Duncan Browman
- Neuroscience Division, Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, Australia
| | - Herbert Herzog
- Neuroscience Division, Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW, Australia
| | - G. Gregory Neely
- University of Sydney, Dr. John and Anne Chong Lab for Functional Genomics, Charles Perkins Centre, Camperdown, NSW, Australia
- University of Sydney, School of Life and Environmental Sciences, Camperdown, NSW, Australia
| |
Collapse
|
49
|
Yang Y, Wang Z, Mo M, Muyiduli X, Wang S, Li M, Jiang S, Wu Y, Shao B, Shen Y, Yu Y. The association of gestational diabetes mellitus with fetal birth weight. J Diabetes Complications 2018; 32:635-642. [PMID: 29907325 DOI: 10.1016/j.jdiacomp.2018.04.008] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 03/24/2018] [Accepted: 04/18/2018] [Indexed: 01/23/2023]
Abstract
AIMS Gestational diabetes mellitus (GDM) and different time-point glucose levels might have different effects on fetal birth weight. The aim of this study was to further evaluate the associations of GDM and different time-point blood glucose levels with fetal birth weight in a prospective cohort study. METHODS This prospective cohort study was conducted in Zhoushan Maternal and Child Health Hospital, Zhejiang, from August 2011 to May 2015. 1232 pairs of singleton, full-term newborns and their mothers without other pregnant and perinatal complications were selected as participants. RESULTS Of the 1232 women, 234 had GDM. GDM was positively associated with birth weight (β = 99.5 g, P = 0.0002), gestational age-specific Z-score of birth weight (β = 0.23, P = 0.0003), and an increased risk of large for gestational age (LGA; OR = 1.79, 95%CI: 1.11-2.89) and macrosomia (OR = 2.13, 95%CI: 1.34-3.40). Compared with abnormal fasting plasma glucose (FPG) during the second trimester, abnormal postload glucose in oral glucose tolerance test had significantly higher birth weight and gestational age-specific Z-score of birth weight, and an increased risk of macrosomia. Abnormal FPG and abnormal postload glucose had significantly joint effect on birth weight (β = 161.4 g, P = 0.0192), gestational age-specific Z-score of birth weight (β = 0.42, P = 0.0121) and risk of macrosomia (OR = 3.24, 95%CI: 1.21-8.67) and LGA (OR = 5.73, 95%CI: 2.20-14.90). Compared with abnormal blood glucose during the first trimester, GDM had significantly higher birth weight and gestational age-specific Z-score of birth weight. Abnormal blood glucose during the first trimester and GDM had significantly joint effect on birth weight (β = 125.8 g, P = 0.0010), gestational age-specific Z-score of birth weight (β = 0.30, P = 0.0013) and risk of macrosomia (OR = 2.34, 95%CI: 1.28-4.30) and LGA (OR = 2.53, 95%CI: 1.37-4.67). However, we did not find blood glucose during the first trimester independently associated with birth weight. CONCLUSIONS GDM was significantly associated with higher birth weight and an increased risk of LGA and macrosomia. Fetal growth was mostly influenced by postload glucose levels, rather than FBG. Moreover, different time-point blood glucose levels had significantly joint effects on birth weight and risk of LGA and macrosomia.
Collapse
Affiliation(s)
- Yi Yang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Zhaopin Wang
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China; Office of Graduate Education, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Minjia Mo
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Xiamusiye Muyiduli
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Shuojia Wang
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Minchao Li
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Shuying Jiang
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Yimin Wu
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Bule Shao
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Yu Shen
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Yunxian Yu
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China.
| |
Collapse
|
50
|
Lauridsen LLB, Arendt LH, Ernst A, Brix N, Parner ET, Olsen J, Ramlau-Hansen CH. Maternal diabetes mellitus and timing of pubertal development in daughters and sons: a nationwide cohort study. Fertil Steril 2018; 110:35-44. [PMID: 29908773 DOI: 10.1016/j.fertnstert.2018.03.014] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 03/11/2018] [Accepted: 03/12/2018] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To study the association between maternal diabetes and timing of pubertal development in daughters and sons. DESIGN Prospective cohort study. SETTING Not applicable. PATIENT(S) A total of 15,822 mother-child pairs included in the Danish National Birth Cohort and the Puberty Cohort with prospectively collected, register-based and self-reported information on maternal diabetes and self-reported information on pubertal development. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Adjusted mean monthly difference in age at attaining pubertal milestones in children born of mothers with diabetes compared with children born of mothers without diabetes. RESULT(S) A total of 502 children were born of mothers with diabetes during pregnancy. In daughters exposed to gestational diabetes mellitus, we observed advanced onset in all pubertal milestones. The associations were statistically significant with regard to pubic hair Tanner stage 2 (-4.8 months) (95% confidence interval [CI] -7.7, -2.0), pubic hair Tanner stage 3 (-2.2 months) (95 % CI -4.4, 0.0), pubic hair Tanner stage 5 (-6.0 months) (95% CI -10.8, -1.2), and menarche (-2.5 months) (95 % CI -4.9, 0.0). We observed no tendencies between maternal type 1 or type 2 diabetes mellitus and pubertal development in daughters. We observed no associations between maternal diabetes and pubertal development in sons. CONCLUSION(S) Our findings suggest that gestational diabetes mellitus may accelerate the pubertal development in daughters. Our results did not support an association between type 1 or type 2 diabetes mellitus and daughters' pubertal development, as well as between any type of maternal diabetes and sons' pubertal development.
Collapse
Affiliation(s)
- Lea L B Lauridsen
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark.
| | - Linn H Arendt
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Andreas Ernst
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Nis Brix
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
| | - Erik T Parner
- Department of Public Health, Section for Biostatistics, Aarhus University, Aarhus, Denmark
| | - Jørn Olsen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | | |
Collapse
|