Association of Placental Tissue Metabolite Levels with Gestational Diabetes Mellitus: a Metabolomics Study

Overview

Journal Reprod Sci

Publisher Springer

Specialty Reproductive Medicine

Date 2023 Oct 4

PMID 37794198

Authors

Zhifa Jiang

Xiangyun Ye

Dandan Cao

Yuting Xiang

Zhongjun Li

Affiliations

Soon will be listed here.

Abstract

The purpose of the study is to investigate the metabolic characteristics of placental tissue in patients diagnosed with gestational diabetes mellitus (GDM). Ultra-performance liquid chromatography-mass spectrometry (UPLC-MS/MS) was employed to qualitatively and quantitatively analyze the metabolites in placental tissues obtained from 25 healthy pregnant women and 25 pregnant women diagnosed with GDM. Multilevel statistical methods are applied to process intricate metabolomics data. Meanwhile, we applied machine learning techniques to identify biomarkers that could potentially predict the risk of long-term complications in patients with GDM as well as their offspring. We identified 1902 annotated metabolites, out of which 212 metabolites exhibited significant differences in GDM placentas. In addition, the study identifies a set of risk biomarkers that effectively predict the likelihood of long-term complications in both pregnant women with GDM and their offspring. The accuracy of this panel was measured by the area under the receiver operating characteristic curve (ROC), which was found to be 0.992 and 0.960 in the training and validation sets, respectively. This study enhances our understanding of GDM pathogenesis through metabolomics. Furthermore, the panel of risk markers identified could prove to be a valuable tool in predicting potential long-term complications for both GDM patients and their offspring.

Citing Articles

Gestational diabetes mellitus: Impacts on fetal neurodevelopment, gut dysbiosis, and the promise of precision medicine.

Biete M, Vasudevan S Front Mol Biosci. 2024; 11:1420664.

PMID: 39055983 PMC: 11269231. DOI: 10.3389/fmolb.2024.1420664.

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