Metabolic profiles in gestational diabetes mellitus can reveal novel biomarkers for prediction of adverse neonatal outcomes.

ABSTRACT:

Background

Gestational diabetes mellitus (GDM) significantly affects the fetal metabolic environment, elevating risks of neonatal hypoglycemia and macrosomia. Metabolomics offers promising avenues for early prediction and diagnosis of GDM and associated adverse offspring outcomes.

Methods

This study analyzed serum samples from pregnant women diagnosed with GDM at 24 to 28 weeks of gestation using untargeted metabolomics. We monitored the health outcomes of their offspring to explore the correlation between initial serum metabolite profiles and subsequent health outcomes, to uncover the predictive markers for hypoglycemia and macrosomia in these offspring.

Results

Out of 200 participants, 154 had normal newborns, 33 had offspring with hypoglycemia, and 19 had offspring

SUBMITTER: Yin X 

PROVIDER: S-EPMC11371726 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature