DNA methylation patterns and predictive models for metabolic disease risk in offspring of gestational diabetes mellitus
By integrating robust public data with a targeted validation cohort, this study provides a comprehensive epigenetic profile of GDM-exposed offspring. Owing to the limited sample size and lack of statistical significance, definitive conclusions cannot yet be drawn; however, the observed directional consistency suggests promising avenues for future research. Larger and more diverse cohorts are warranted to confirm these preliminary findings, clarify their clinical implications, and enhance early risk assessment for metabolic disorders in children born to GDM mothers.
Authors
- Na Wang (ORCID: https://orcid.org/0000-0002-5145-0795)
- Yang Li (ORCID: https://orcid.org/0000-0002-4549-7087)
- Suping Li (ORCID: https://orcid.org/0000-0002-0294-8861)
Institutions
- First Hospital of Jiaxing (CN)
Publication Details
- Journal
- Diabetology & Metabolic Syndrome
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1186/s13098-025-01707-7
- Citations
- 5
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 10.29