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Wang S, Liu Y, Tam WH, Ching JYL, Xu W, Yan S, Qin B, Lin L, Peng Y, Zhu J, Cheung CP, Ip KL, Wong YM, Cheong PK, Yeung YL, Kan WHB, Leung TF, Leung TY, Chang EB, Rubin DT, Claud EC, Wu WKK, Tun HM, Chan FKL, Ng SC, Zhang L. Maternal gestational diabetes mellitus associates with altered gut microbiome composition and head circumference abnormalities in male offspring. Cell Host Microbe 2024; 32:1192-1206.e5. [PMID: 38955186 DOI: 10.1016/j.chom.2024.06.005] [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: 08/09/2023] [Revised: 05/02/2024] [Accepted: 06/05/2024] [Indexed: 07/04/2024]
Abstract
The impact of gestational diabetes mellitus (GDM) on maternal or infant microbiome trajectory remains poorly understood. Utilizing large-scale longitudinal fecal samples from 264 mother-baby dyads, we present the gut microbiome trajectory of the mothers throughout pregnancy and infants during the first year of life. GDM mothers had a distinct microbiome diversity and composition during the gestation period. GDM leaves fingerprints on the infant's gut microbiome, which are confounded by delivery mode. Further, Clostridium species positively correlate with a larger head circumference at month 12 in male offspring but not females. The gut microbiome of GDM mothers with male fetuses displays depleted gut-brain modules, including acetate synthesis I and degradation and glutamate synthesis II. The gut microbiome of female infants of GDM mothers has higher histamine degradation and dopamine degradation. Together, our integrative analysis indicates that GDM affects maternal and infant gut composition, which is associated with sexually dimorphic infant head growth.
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Affiliation(s)
- Shilan Wang
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingzhi Liu
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Wing Hung Tam
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jessica Y L Ching
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wenye Xu
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shuai Yan
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Biyan Qin
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Ling Lin
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Ye Peng
- Microbiota I-Center (MagIC), Hong Kong SAR, China; JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jie Zhu
- Microbiota I-Center (MagIC), Hong Kong SAR, China
| | - Chun Pan Cheung
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ka Long Ip
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yuen Man Wong
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Pui Kuan Cheong
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yuk Ling Yeung
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wing Him Betty Kan
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ting Fan Leung
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Tak Yeung Leung
- Department of Obstetrics and Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Eugene B Chang
- Department of Medicine, Section of Gastroenterology, Hepatology, and Nutrition, University of Chicago, Chicago, IL 60637, USA
| | - David T Rubin
- Department of Medicine, Section of Gastroenterology, Hepatology, and Nutrition, University of Chicago, Chicago, IL 60637, USA
| | - Erika C Claud
- Departments of Pediatrics and Medicine, Pritzker School of Medicine/Biological Sciences Division, University of Chicago, Chicago, IL 60637, USA
| | - William K K Wu
- Department of Anaesthesia and Intensive Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hein M Tun
- Microbiota I-Center (MagIC), Hong Kong SAR, China; JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Francis K L Chan
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Centre for Gut Microbiota Research, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Siew C Ng
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China; State Key Laboratory of Digestive Disease Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Lin Zhang
- Microbiota I-Center (MagIC), Hong Kong SAR, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Young MF, Nguyen PH, Tran LM, Khuong LQ, Hendrix S, Martorell R, Ramakrishnan U. Maternal preconception BMI and gestational weight gain are associated with weight retention and maternal and child body fat at 6-7 years postpartum in the PRECONCEPT cohort. Front Nutr 2023; 10:1114815. [PMID: 37305082 PMCID: PMC10254082 DOI: 10.3389/fnut.2023.1114815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 04/03/2023] [Indexed: 06/13/2023] Open
Abstract
Background There is limited evidence from prospective cohorts in low-resource settings on the long-term impact of pre-pregnancy body mass index (PPBMI) and gestational weight gain (GWG) on postpartum weight retention (PPWR) and maternal and child body composition. Objectives We examined the associations between PPBMI and timing of GWG on PPWR at 1, 2, and 6-7 years and maternal and child percent body fat at 6-7 years. Methods We used data from the PRECONCEPT study (NCT01665378) that included prospectively collected data on 864 mother-child pairs from preconception through 6-7 years postpartum. The key outcomes were PPWR at 1, 2, and 6-7 years, and maternal and child percent body fat at 6-7 years that was measured using bioelectric impedance. Maternal conditional GWG (CGWG) was defined as window-specific weight gains (< 20wk, 21-29wk, and ≥ 30wk), uncorrelated with PPBMI and all prior body weights. PPBMI and CGWG were calculated as standardized z-scores to allow for relative comparisons of a 1 standard deviation (SD) increase in weight gain for each window. We used multivariable linear regressions to examine the associations, adjusting for baseline demographic characteristics, intervention, breastfeeding practices, diet and physical activity. Results Mean (SD) PPBMI and GWG were 19.7 (2.1) kg/m2 and 10.2 (4.0) kg, respectively. Average PPWR at 1, 2, and 6-7 years was 1.1, 1.5 and 4.3 kg, respectively. A one SD increase in PPBMI was associated with a decrease in PPWR at 1 year (β [95% CI]: -0.21 [-0.37, -0.04]) and 2 years (-0.20 [-0.39, -0.01]); while a one SD in total CGWG was associated with an increase in PPWR at 1 year (1.01 [0.85,1.18]), 2 years (0.95 [0.76, 1.15]) and 6-7 years (1.05 [0.76, 1.34]). Early CGWG (< 20 weeks) had the greatest association with PPWR at each time point as well as with maternal (0.67 [0.07, 0.87]) and child (0.42 [0.15, 0.69]) percent body fat at 6-7 years. Conclusion Maternal nutrition before and during pregnancy may have long-term implications for PPWR and body composition. Interventions should consider targeting women preconception and early in pregnancy to optimize maternal and child health outcomes.
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Affiliation(s)
- Melissa F. Young
- Hubert Department of Global Health, Emory University, Atlanta, GA, United States
- Doctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, GA, United States
| | - Phuong Hong Nguyen
- Poverty, Health and Nutrition Division, International Food Policy Research Institute (IFPRI), Washington, DC, United States
- Thai Nguyen University of Pharmacy and Medicine, Thai Nguyen, Vietnam
| | - Lan Mai Tran
- Hubert Department of Global Health, Emory University, Atlanta, GA, United States
- Doctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, GA, United States
| | | | - Sara Hendrix
- Hubert Department of Global Health, Emory University, Atlanta, GA, United States
| | - Reynaldo Martorell
- Hubert Department of Global Health, Emory University, Atlanta, GA, United States
- Doctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, GA, United States
| | - Usha Ramakrishnan
- Hubert Department of Global Health, Emory University, Atlanta, GA, United States
- Doctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, GA, United States
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Dangat K, Gupte S, Wagh G, Lalwani S, Randhir K, Madiwale S, Pisal H, Kadam V, Gundu S, Chandhiok N, Kulkarni B, Joshi S, Fall C, Sachdev HS. Gestational weight gain in the REVAMP pregnancy cohort in Western India: Comparison with international and national references. Front Med (Lausanne) 2022; 9:1022990. [PMID: 36275827 PMCID: PMC9579320 DOI: 10.3389/fmed.2022.1022990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Objective To determine the trimester specific gestational weight gain (GWG) in a population of pregnant women from Western India and compare it with the Intergrowth-21st international and an Indian reference (GARBH-Ini cohort-Group for Advanced Research on BirtH outcomes). Study design A prospective longitudinal observational study was undertaken in Pune, West India and data for gestational weight gain was collected [the REVAMP study (Research Exploring Various Aspects and Mechanisms in Preeclampsia)]. Generalized Additive Models for Location, Scale and Shape method (GAMLSS model) were used to create GWG centile curves according to gestational age, stratified by BMI at recruitment (n = 640) and compared with Intergrowth-21st reference and GARBH-Ini cohort. Multivariable regression analysis was used to evaluate the relationship between GWG and antenatal risk factors. Results The median GWG was 1.68, 5.80, 7.06, and 11.56 kg at gestational ages 18, 26, 30, and 40 weeks, respectively. In our study, pregnant women gained less weight throughout pregnancy compared to Intergrowth-21st study, but more weight compared to the GARBH-Ini cohort centile curves in all the BMI categories. GWG in overweight/obese women (BMI ≥ 25) was significantly lower (<0.001) as compared to underweight (BMI < 18.5), or normal weight women (BMI ≥ 18.5 and <25). The median GWG at 40 weeks in underweight, normal and overweight/obese women was 13.18, 11.74, and 10.48 kg, respectively. Higher maternal BMI, older maternal age, higher parity and higher hemoglobin concentrations were associated with lower GWG, while taller maternal height was associated with greater GWG. Conclusion GWG of Indian women is lower than the prescriptive standards of the Intergrowth charts.
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Affiliation(s)
- Kamini Dangat
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | | | - Girija Wagh
- Department of Obstetrics and Gynecology, Bharati Medical College and Hospital, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Sanjay Lalwani
- Department of Pediatrics, Bharati Medical College and Hospital, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Karuna Randhir
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Shweta Madiwale
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Hemlata Pisal
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Vrushali Kadam
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Shridevi Gundu
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Nomita Chandhiok
- Division of Reproductive, Biology, Maternal and Child Health (RBMCH) and Nutrition, Indian Council of Medical Research, New Delhi, India
| | - Bharati Kulkarni
- Division of Reproductive, Biology, Maternal and Child Health (RBMCH) and Nutrition, Indian Council of Medical Research, New Delhi, India
| | - Sadhana Joshi
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Caroline Fall
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - Harshpal Singh Sachdev
- Department of Pediatrics and Clinical Epidemiology, Sitaram Bhartia Institute of Science and Research, New Delhi, India
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