期刊
JOURNAL OF DIABETES RESEARCH
卷 2021, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2021/8885954
关键词
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资金
- National Natural Science Foundation of China [81773535]
- Key Research and Development Program of Hunan Province [2018SK2061]
- Natural Science Foundation of Hunan Province [2020JJ5789]
- Postdoctoral Science Foundation of China [2018M643014]
Using a metabolomics approach, this study investigated the relationship between maternal serum metabolites and gestational diabetes mellitus (GDM) in early pregnancy. A total of 44 differential metabolites were identified between GDM cases and healthy controls, with 26 significant metabolites obtained after false discovery rate correction. These metabolites were involved in multiple metabolic pathways, shedding light on the mechanisms underlying GDM in early pregnancy and potential predictive markers.
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.
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