ArticleEuropean journal of medical research2025
Metabolic profiling and early prediction models for gestational diabetes mellitus in PCOS and non-PCOS pregnant women.
Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Fetal growth in PCOS pregnancies: dynamic evidence of restriction and the modifying role of ART.Frontiers in medicine · 2026Article
- Metabolic biomarkers in early detection of gestational diabetes mellitus: a prospective diagnostic accuracy study.Frontiers in medicine · 2026Article
- MiR-432-5p was involved in gestational diabetes mellitus by targeting COL5A2 regulation.Irish journal of medical science · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundGestational diabetes mellitus (GDM) is the most common pregnancy complication, significantly affecting maternal and neonatal health. Polycystic ovary syndrome (PCOS) is a common endocrine disorder characterized by metabolic abnormalities, which notably elevates the risk of developing GDM during pregnancy.
methodsIn this study, we utilized ultra-high-performance liquid chromatography for untargeted metabolomics analysis of serum samples from 137 pregnant women in the early-to-mid-pregnancy. The cohort consisted of 137 participants, including 70 in the PCOS group (36 who developed GDM in mid-to-late pregnancy and 34 who did not) and 67 in the non-PCOS group (37 who developed GDM and 30 who remained GDM-free). The aim was to investigate metabolic profile differences between PCOS and non-PCOS patients and to construct early GDM prediction models separately for the PCOS and non-PCOS groups.
resultsOur findings revealed significant differences in the metabolic profiles of PCOS patients, which may help elucidate the higher risk of GDM in the PCOS population. Moreover, tailored early GDM prediction models for the PCOS group demonstrated high predictive performance, providing strong support for early diagnosis and intervention in clinical practice.
conclusionsUntargeted metabolomics analysis revealed distinct metabolic patterns between PCOS patients and non-PCOS patients, particularly in pathways related to GDM. Based on these findings, we successfully constructed GDM prediction models for both PCOS and non-PCOS groups, offering a promising tool for clinical management and early intervention in high-risk populations.
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