scholarly journals Association between Maternal Serum Concentrations of Angiopoietin-like Protein 2 in Early Pregnancy and Subsequent Risk of Gestational Diabetes Mellitus

2016 ◽  
Vol 129 (19) ◽  
pp. 2308-2312 ◽  
Author(s):  
Yan Zhang ◽  
Shan Lu ◽  
Rong Li
Author(s):  
Yi Wang ◽  
Fengjiang Sun ◽  
Ping Wu ◽  
Yichao Huang ◽  
Yi Ye ◽  
...  

Abstract Context While the associations between thyroid markers and gestational diabetes mellitus (GDM) have been extensively studied, the results are inconclusive and the mechanisms remain unclear. Objective We aimed to investigate the prospective associations of thyroid markers in early gestation with GDM risk, and examine the mediating effects through lipid species. Methods This study included 6068 pregnant women from the Tongji-Shuangliu Birth Cohort. Maternal serum thyroid markers (free triiodothyronine (fT3), free thyroxine (fT4), thyroid-stimulating hormone, thyroid peroxidase antibody, and thyroglobulin antibody) were measured before 15 weeks. Deiodinase activity was assessed by fT3/fT4 ratio. Plasma lipidome were quantified in a subset of 883 participants. Results Mean age of the participants was 26.6 ± 3.7 years, and mean gestational age was 10.3 ± 2.0 weeks. Higher levels of fT4 were associated with a decreased risk of GDM (OR=0.73 comparing the extreme quartiles; 95% CI 0.54, 0.98, Ptrend =0.043), while higher fT3/fT4 ratio was associated with an increased risk of GDM (OR=1.43 comparing the extreme quartiles; 95% CI 1.06, 1.93, Ptrend =0.010) after adjusting for potential confounders. Multiple linear regression suggested that fT3/fT4 ratio was positively associated with alkylphosphatidylcholine 36:1, phosphatidylethanolamine plasmalogen 38:6, diacylglyceride 18:0/18:1, sphingomyelin 34:1, and phosphatidylcholine 40:7 (false discovery rate adjusted P<0.05). Mediation analysis indicated 67.9% of the association between fT3/fT4 ratio and GDM might be mediated through the composite effect of these lipids. Conclusions Lower concentration of serum fT4 or higher fT3/fT4 ratio in early pregnancy was associated with an increased risk of GDM. The association of fT3/fT4 ratio with GDM was largely mediated by specific lipid species.


2004 ◽  
Vol 89 (5) ◽  
pp. 2306-2311 ◽  
Author(s):  
Michelle A. Williams ◽  
Chunfang Qiu ◽  
Martin Muy-Rivera ◽  
Surab Vadachkoria ◽  
Tara Song ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Mengyuan Tian ◽  
Shujuan Ma ◽  
Yiping You ◽  
Sisi Long ◽  
Jiayue Zhang ◽  
...  

Objective. Gestational diabetes mellitus (GDM) is a common metabolic disorder with onset during pregnancy. However, the etiology and pathogenesis of GDM have not been fully elucidated. In this study, we used a metabolomics approach to investigate the relationship between maternal serum metabolites and GDM in early pregnancy. Methods. A nested case-control study was performed. To establish an early pregnancy cohort, pregnant women in early pregnancy ( 10 ‐ 13 + 6 weeks) were recruited. In total, 51 patients with GDM and 51 healthy controls were included. Serum samples were analyzed using an untargeted high-performance liquid chromatography mass spectrometry metabolomics approach. The relationships between metabolites and GDM were analyzed by an orthogonal partial least-squares discriminant analysis. Differential metabolites were evaluated using a KEGG pathway analysis. Results. A total of 44 differential metabolites were identified between GDM cases and healthy controls during early pregnancy. Of these, 26 significant metabolites were obtained in early pregnancy after false discovery rate ( FDR < 0.1 ) correction. In the GDM group, the levels of L-pyroglutamic acid, L-glutamic acid, phenylacetic acid, pantothenic acid, and xanthine were significantly higher and the levels of 1,5-anhydro-D-glucitol, calcitriol, and 4-oxoproline were significantly lower than those in the control group. These metabolites were involved in multiple metabolic pathways, including those for amino acid, carbohydrate, lipid, energy, nucleotide, cofactor, and vitamin metabolism. Conclusions. We identified significant differentially expressed metabolites associated with the risk of GDM, providing insight into the mechanisms underlying GDM in early pregnancy and candidate predictive markers.


2003 ◽  
Vol 189 (6) ◽  
pp. S59
Author(s):  
Michelle Williams ◽  
Chunfang Qiu ◽  
Martin Muy-Rivera ◽  
Surab Vadachkoria ◽  
Tara Song ◽  
...  

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

Abstract Aims We aimed to assess the association between gut bacterial biomarkers during early pregnancy and subsequent risk of gestational diabetes mellitus (GDM) in Chinese pregnant women. Methods Within the Tongji-Shuangliu Birth Cohort study, we conducted a nested case-control study among 201 incident GDM cases and 201 matched controls. Fecal samples were collected during early pregnancy (at 6-15 weeks), 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. In addition, the abundance of Staphylococcus relative to Clostridium, Roseburia and Coriobacteriaceae as reference microorganisms were positively correlated with fasting blood glucose, 1-h and 2-h postprandial glucose levels. Adding microbial taxa to the base GDM prediction model with conventional risk factors increased the C-statistic significantly (P&lt;0.001) from 0.69 to 0.75. Conclusions 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 were related to higher risk of incident GDM and positively correlated with glucose levels on OGTT.


2019 ◽  
Vol 7 (23) ◽  
pp. 722-722
Author(s):  
Xiaoxian Qu ◽  
Jingyi Zhuang ◽  
Chuanlu Xu ◽  
Zisheng Ai ◽  
Ling Yuan ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document