Determinants of elevated depressive symptoms in Chinese women with gestational diabetes mellitus

Birth ◽  
2021 ◽  
Author(s):  
Shuyuan Huang ◽  
Dora Lendvai Wischik ◽  
Robin Whittemore ◽  
Sangchoon Jeon ◽  
Long Qing ◽  
...  
2021 ◽  
Vol 9 (1) ◽  
pp. e002287
Author(s):  
Qiulun Zhou ◽  
Ying Wang ◽  
Yuqin Gu ◽  
Jing Li ◽  
Hui Wang ◽  
...  

IntroductionTo investigate associations between genetic variants related to beta-cell (BC) dysfunction or insulin resistance (IR) in type 2 diabetes (T2D) and bile acids (BAs), as well as the risk of gestational diabetes mellitus (GDM).Research design and methodsWe organized a case-control study of 230 women with GDM and 217 without GDM nested in a large prospective cohort of 22 302 Chinese women in Tianjin, China. Two weighted genetic risk scores (GRSs), namely BC-GRS and IR-GRS, were established by combining 39 and 23 single nucleotide polymorphisms known to be associated with BC dysfunction and IR, respectively. Regression and mediation analyses were performed to evaluate the relationship of GRSs with BAs and GDM.ResultsWe found that the BC-GRS was inversely associated with taurodeoxycholic acid (TDCA) after adjustment for confounders (Beta (SE)=−0.177 (0.048); p=2.66×10−4). The BC-GRS was also associated with the risk of GDM (OR (95% CI): 1.40 (1.10 to 1.77); p=0.005), but not mediated by TDCA. Compared with individuals in the low tertile of BC-GRS, the OR for GDM was 2.25 (95% CI 1.26 to 4.01) in the high tertile. An interaction effect of IR-GRS with taurochenodeoxycholic acid (TCDCA) on the risk of GDM was evidenced (p=0.005). Women with high IR-GRS and low concentration of TCDCA had a markedly higher OR of 14.39 (95% CI 1.59 to 130.16; p=0.018), compared with those with low IR-GRS and high TCDCA.ConclusionsGenetic variants related to BC dysfunction and IR in T2D potentially influence BAs at early pregnancy and the development of GDM. The identification of both modifiable and non-modifiable risk factors may facilitate the identification of high-risk individuals to prevent GDM.


2018 ◽  
Vol 626 ◽  
pp. 451-457 ◽  
Author(s):  
Fengxiu Ouyang ◽  
Ning Tang ◽  
Hui-Juan Zhang ◽  
Xia Wang ◽  
Shasha Zhao ◽  
...  

2018 ◽  
Vol 26 (10) ◽  
pp. 1382-1388 ◽  
Author(s):  
Chao Li ◽  
Yubin Zhou ◽  
Binglong Qiao ◽  
Lin Xu ◽  
Yan Li ◽  
...  

Aims: This study was conducted to investigate the relationship between a genetic polymorphism and the expression of melatonin receptor 1B (MTNR1B) in the placenta of Han Chinese women with gestational diabetes mellitus (GDM). Methods: In this study, 215 patients with GDM and 243 healthy controls were genotyped using direct sequencing for the MTNR1B single-nucleotide polymorphism rs10830963. The expression of MTNR1B in placenta was detected by immunohistochemistry and Western blotting. The association of rs10830963 with the expression of MTNR1B, plasma glucose, and insulin levels as well as blood lipid levels was investigated. Results: The genotype and allele frequencies of rs10830963 were significantly different between women with GDM and controls ( P < .05). Fasting blood glucose, fasting insulin, and homeostasis model assessment for insulin resistance in women with GDM with the GG and GC genotypes were significantly higher than those with the CC genotype ( P < .05). The expression level of MTNR1B in placenta was significantly higher in the GDM group than in the control group ( P < .05). The expression of MTNR1B was significantly higher in all participants with the GG and GC genotypes (1.31 [0.74]) than in pregnant women with the CC genotype (0.92 [0.52], P < .05). Conclusions: The genetic polymorphism rs10830963 in MTNR1B and its protein expression levels in placenta are associated with an increased risk of developing GDM. Furthermore, rs10830963 may tag a molecular mechanism leading to insulin resistance in Han Chinese women with GDM.


2004 ◽  
Vol 88 (2) ◽  
pp. 122-126 ◽  
Author(s):  
Q.K. Wu ◽  
L.M. Luo ◽  
P. Li ◽  
J.H. Gu ◽  
J. Feng

2011 ◽  
Vol 28 (6) ◽  
pp. 652-657 ◽  
Author(s):  
F. Zhang ◽  
L. Dong ◽  
C.P. Zhang ◽  
B. Li ◽  
J. Wen ◽  
...  

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