An early prediction model for gestational diabetes mellitus based on metabolomic biomarkers.

ABSTRACT:

Background

Gestational diabetes mellitus (GDM) represents the main metabolic alteration during pregnancy. The available methods for diagnosing GDM identify women when the disease is established, and pancreatic beta-cell insufficiency has occurred.The present study aimed to generate an early prediction model (under 18 weeks of gestation) to identify those women who will later be diagnosed with GDM.

Methods

A cohort of 75 pregnant women was followed during gestation, of which 62 underwent normal term pregnancy and 13 were diagnosed with GDM. Targeted metabolomics was used to select serum biomarkers with predictive power to identify women who will later be diagnosed with GDM.

Results

Candidate metabolites were selected to generate an early identification model employing

SUBMITTER: Razo-Azamar M 

PROVIDER: S-EPMC10234027 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature