Association Of Gut Microbiota During Early Pregnancy With Risk Of Incident Gestational Diabetes Mellitus: A Nested Case-Control Study

2020 ◽  
Author(s):  
Ping Hu ◽  
Xiuyi Chen ◽  
Xufeng Chu ◽  
Mengran Fan ◽  
Yi Ye ◽  
...  

Abstract Background: We aimed to assess gut bacterial biomarkers during early pregnancy and subsequent risk of gestational diabetes mellitus (GDM) in Chinese pregnant women.Methods: Based on the Tongji-Shuangliu Birth Cohort study, we conducted a nested case-control study among 201 incident GDM cases and 201 matched controls individual matched on age, gestational week, and date of fecal sample collection. Fecal samples were collected during early pregnancy, and GDM was diagnosed at 24-28 weeks of pregnancy. Community DNA isolated from fecal samples and V3-V4 region of 16S rRNA gene amplicon libraries were sequenced. Results: In GDM cases versus controls, Rothia, Actinomyces, Bifidobacterium, Adlercreutzia, and Coriobacteriaceae, and Lachnospiraceae spp. were significantly reduced, while Enterobacteriaceae, Ruminococcaceae spp. and Veillonellaceae were over-represented. It was also found that the abundance of Staphylococcus relative to Clostridium, Roseburia and Coriobacteriaceae as reference microorganisms were positively correlated with fasting blood glucose, 1-h postprandial glucose, and 2-h postprandial glucose levels. Conditional Logistic regression showed that 4 microbial taxa during early pregnancy were associated with subsequent GDM risk, including Actinobacteria, Coriobacteriaceae, genus 26 of Coriobacteriaceae and an unknown specie of the Coprococcus.Conclusion: Gut microbiota during early pregnancy was associated with subsequent risk of GDM. Several beneficial and commensal gut microorganisms showed inverse relations with incident GDM, while opportunistic pathogenic members involving in GDM development, where they positively correlated with clinical measurements on OGTT. Our study provided promising biological markers that may be used in monitoring pregnant women’s health and developing therapeutic interventions on GDM at early stage of gestation.

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiangrong Xu ◽  
Yuanyuan Wang ◽  
Na Han ◽  
Xiangming Yang ◽  
Yuelong Ji ◽  
...  

ObjectiveThe extensive use of rare earth elements (REEs) in many technologies was found to have effects on human health, but the association between early pregnancy exposure to REEs and gestational diabetes mellitus (GDM) is still unknown.MethodsThis nested case-control study involved 200 pregnant women with GDM and 200 healthy pregnant women from the Peking University Birth Cohort in Tongzhou. We examined the serum concentrations of 14 REEs during early pregnancy and analyzed their associations with the risk of GDM.ResultsWhen the elements were considered individually in the logistic regression model, no significant associations were found between REEs and GDM, after adjusting for confounding variables (P > 0.05). In weighted quantile sum (WQS) regression, each quartile decrease in the mixture index for REEs resulted in a 1.67-fold (95% CI: 1.12-2.49) increased risk of GDM. Neodymium (Nd), Praseodymium (Pr), and Lanthanum (La) were the most important contributors in the mixture.ConclusionThe study findings indicated that early pregnancy exposure to lower levels of REE mixture was associated with an increased risk of GDM, and Nd, Pr, and La exhibited the strongest effects in the mixture.


BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e025908 ◽  
Author(s):  
Maëlle Dandjinou ◽  
Odile Sheehy ◽  
Anick Bérard

ObjectivesThe aim of this study was to determine the association between antidepressant (AD) classes, types and duration of use during pregnancy and the risk of gestational diabetes mellitus (GDM).Design and settingA nested case–control study was conducted within the Quebec Pregnancy Cohort (QPC), a Canadian provincial database which includes data on all pregnancies and children in Quebec from January 1998 to December 2015.Primary outcome measuresGestational diabetes mellitus.ParticipantsCases of GDM were identified after week 20 of pregnancy and randomly matched 1:10 to controls on gestational age at index date (ie, calendar date of GDM) and year of pregnancy. AD exposure was assessed by filled prescriptions between the beginning of pregnancy (first day of last menstrual period) and index date. Conditional logistic regression models were used to estimate crude and adjusted odds ratios (aOR).ResultsAmong 20 905 cases and 209 050 matched controls, 9741 (4.2%) women were exposed to ADs. When adjusting for potential confounders, AD use was associated with an increased risk of GDM (aOR 1.19, 95% CI 1.08 to 1.30); venlafaxine (aOR 1.27, 95% CI 1.09 to 1.49) and amitriptyline (aOR 1.52, 95% CI 1.25 to 1.84) were also associated with an increased risk of GDM. Moreover, the risk of GDM was increased with longer duration of AD use, specifically for serotonin norepinephrine reuptake inhibitors, tricyclic ADs and combined use of two AD classes. No statistically significant association was observed for selective serotonin reuptake inhibitors.ConclusionThe findings suggest that ADs—and specifically venlafaxine and amitriptyline—were associated with an increased risk of GDM.


2019 ◽  
Vol 104 (11) ◽  
pp. 5529-5539 ◽  
Author(s):  
Xiaoxu Huo ◽  
Jing Li ◽  
Yun-Feng Cao ◽  
Sai-Nan Li ◽  
Ping Shao ◽  
...  

Abstract Objectives This study aimed to investigate the associations between trimethylamine N-oxide (TMAO) and related metabolites in early pregnancy and the risk of gestational diabetes mellitus (GDM). Design A prospective cohort of 22,302 pregnant women from 2010 to 2012 in Tianjin, China, was used to perform a nested case-control study. A total of 243 women with GDM and 243 women without GDM matched by maternal age (±1 year) were used as cases and controls, respectively. Conditional logistic regression and restricted cubic spline were used to examine the full-range risk associations between individual TMAOs metabolites at the first antenatal care visit with GDM. Trimethylamine conversion ratio (TMAR) was defined as trimethylamine (TMA)/its precursors, and trimethylamine N-oxide conversion ratio (TMAOR) was defined as TMAO/TMA. An additive interaction between high TMAR and low TMAOR indicates a state of TMA accumulation, and a mathematical interaction between high TMAR and high TMAOR indicates accumulation of TMAO. Results TMA was linearly associated with GDM, whereas TMA precursors and TMAO were inversely associated with GDM with clear threshold effects, i.e., 16 nmol/mL for TMAO, 200 nmol/mL for betaine, 112 nmol/mL for l-carnitine, and 110 and 270 nmol/mL for cholinechloride (a U-shaped relationship). Copresence of TMAR >0.35 and TMAOR ≤0.15 was associated with a markedly higher OR (11.16; 95% CI, 5.45 to 22.8), compared with TMAR >0.35 only (OR = 1.71; 95% CI, 0.42 to 6.95) or TMAOR ≤0.15 only (OR = 2.06; 95% CI, 1.09 to 3.90), with a significant additive interaction. However, the mathematical interaction was nonsignificant. Conclusions TMAO metabolites in the early pregnancy were associated with the risk of GDM, whereas TMA was more likely to play a causal role in GDM.


2021 ◽  
Author(s):  
Peng Tang ◽  
Jun Liang ◽  
Qian Liao ◽  
Huishen Huang ◽  
Xiaojing Guo ◽  
...  

Abstract A growing number of epidemiologic studies have estimated the associations between endocrine-disrupting chemicals and gestational diabetes mellitus (GDM). However, reports on the association between bisphenol A (BPA) substitutes and GDM are limited. This investigation aimed to explore the associations of maternal serum BPA, bisphenol B (BPB), bisphenol F (BPF), bisphenol S (BPS), and tetrabromobisphenol A (TBBPA) with the risk of GDM. A nested case-control study was performed among 500 pregnant women. Associations between the serum bisphenol levels and the risk of GDM were assessed by conditional logistic regression analysis and two-mixture modeling approaches (Bayesian kernel machine regression [BKMR] and quantile g-computation). BPA and TBBPA were negatively associated with the risk of GDM in the adjusted models, respectively. Intermediate BPS levels were associated with increased odds (OR: 1.84; 95% CI: 1.04, 3.27) of GDM compared with the low concentration groups only based on the single-bisphenol models. Associations between BPA, BPS, and TBBPA with the risk of GDM were also found in the BKMR analysis. The quantile g-computation (OR: 0.55; 95% CI: 0.43, 0.69) and BKMR models revealed a statistically significant and negative joint effect of the five bisphenols on the risk of GDM. This study demonstrates the association between exposure to BPS with the increased risk of GDM. In addition, exposure to BPA and TBBPA were associated with the reduced risk of GDM. Moreover, exposure to the mixture of the five bisphenols was negatively associated with the risk of GDM.


Sign in / Sign up

Export Citation Format

Share Document