妊娠期糖尿病
代谢组学
肠道菌群
糖尿病
代谢物
怀孕
2型糖尿病
医学
生物
内科学
生理学
妊娠期
2型糖尿病
氧化三甲胺
内分泌学
生物信息学
生物化学
三甲胺
免疫学
遗传学
作者
Mengjia Tao,Gaochen Lu,Sheng Zhang,Li Pan
标识
DOI:10.1016/j.cca.2023.117490
摘要
Gestational diabetes mellitus (GDM) poses a risk of short-term and long-term complications for both mother and fetus. However, there is a lack of consensus on the screening approach and pathophysiology of GDM. Women were screened at 24 to 28 weeks gestation using the one-step screening approach and serum samples were collected for metabolomics based on 1H-NMR spectroscopy. A random forest classifier was developed to evaluate its diagnostic efficacy on GDM. Serum metabolic fingerprints of women with GDM differed significantly from those with normoglycemic. Of the 59 differential metabolites identified, 25 were well-known risk metabolites associated with type 2 diabetes or cardiovascular diseases, such as branched-chain amino acids and trimethylamine N-oxide. In addition, most of the differential metabolites were microbial metabolites or could be metabolized by gut microbes. The correlation between serum metabolites and maternal 75 g OGTT glucose values supported the establishment of a random forest classifier, which selected 21 metabolites to predict GDM with an AUC of 0.988. Metabolic disturbances in the host and gut microbiota may be a persistent contributor to the risk of developing type 2 diabetes or cardiovascular diseases in GDM. Targeting microbiota is one intervention that needs to be considered.
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