Gestational age and models for predicting gestational diabetes mellitus
The late pregnancy urine metabolites independently linked to GDM were markers for diminished insulin sensitivity and glucose-stimulated insulin release. The high predictive accuracy of the models in both early and late pregnancy in this cohort supports the notion that a urinary metabolite phenotype may separate GDM vs CON across both early and late gestation. A large validation study should be conducted to affirm the accuracy of this noninvasive and time-efficient technology in identifying GDM.
Authors
- Jeffrey Gornbein (ORCID: https://orcid.org/0000-0001-7365-5794)
- Aisling Murphy
- Ophelia Yin (ORCID: https://orcid.org/0000-0002-1933-2262)
- Brian J. Koos (ORCID: https://orcid.org/0000-0001-5799-7890)
Institutions
- University of California, Los Angeles (US)
- University of California, San Francisco (US)
Publication Details
- Journal
- Metabolomics
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1007/s11306-025-02314-3
- Citations
- 1
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 2.06