Identification of differential metabolites using untargeted metabolomics between gestational diabetes and normal pregnant women

Abstract

Objective To study the metabonomics differences between pregnant women with gestational diabetes mellitus (GDM) in the third trimester and those in a group without GDM by screening a group of highly efficient and sensitive markers for GDM and validating previously published early metabolic markers of GDM. Methods A cross‐sectional cohort study based on ultra performance liquid chromatography tandem mass spectrometry untargeted metabolomics analysis of serum samples collected from 59 pregnant women with GDM and 59 pregnant women without GDM. Results A total of 121 metabolites were detected, and 27 were identified as differential metabolites between GDM and control. The combination of 27 metabolic peaks had area under curve (AUC) values of 0.90, 0.92, and 0.93 in the prediction models using support vector machine, partial least squares, and random forest, respectively. Finally, five metabolite biomarkers were selected to construct logistic regression models: L‐valine, hypoxanthine, eicosapentaenoic acid, 2‐amino‐1,3,4‐octadecanotriol, and choline. The AUC value of these metabolites was 0.769 between the GDM group and the control group. Conclusions The discovery of a group of differential metabolites in pregnant women with GDM in the third trimester and in pregnant women without GDM may facilitate the study of the pathologic mechanism of GDM; it may be possible to find an efficient and sensitive alternative GDM detection method.

Mild-iodine-deficiency based on 24-hour urinary iodine excretion leads to significant metabolic changes in pregnant women at early stages of pregnancy

“…In recent years, many analyses have shown that metabolites during pregnancy are associated with various gestational disorders. Peng ML' study showed metabolic disorders were exhibited in gestational diabetes mellitus and 27 metabolites were identi ed as the differential metabolites [13] . A metabolomics study and meta-analysis showed that prenatal exposure to β-HCH and mecarbam could decrease the offspring's birth weight mainly by disrupting thyroid hormone metabolism and glyceraldehyde metabolism [14] .…”