Precision integrated identification of predictive first-trimester metabolomics signatures for early detection of gestational diabetes mellitus.

ABSTRACT:

Background and aim

Gestational diabetes mellitus (GDM), a common pregnancy-related metabolic disorder, often goes undiagnosed until the second trimester, limiting early intervention opportunities. Given the higher prevalence of GDM in India, there is a critical need to investigate metabolomic biomarkers among Asian Indians, who exhibit greater insulin resistance and are predisposed to developing type 2 diabetes at an earlier age. This study aimed to identify early pregnancy metabolomic signatures predictive of GDM.

Methods

Among 2115 pregnant women from the STratification of Risk of Diabetes in Early pregnancy (STRiDE) study, we performed untargeted metabolomic profiling using UPLC-MS/MS at early pregnancy (< 16 weeks) plasma samples from 100 women-comprising 50 with GDM and

SUBMITTER: Sharma S 

PROVIDER: S-EPMC12619188 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature