Metabolomics of saliva, serum, and urine for pathogenesis, diagnosis, and prognosis in gestational diabetes mellitus
Rattachement africain : cn, us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Gestational diabetes mellitus (GDM) is a common metabolic disorder in pregnancy, but the underlying mechanism has not been fully clarified. Using metabolomic profiling of second-trimester saliva, serum, and urine, we identify 54 metabolites altered in GDM that converge on key metabolic pathways. Fifty GDM biomarkers independently associated with abnormal maternal glucose and insulin resistance are selected to construct GDM discriminant models (internal test AUC: 0.868; real-world test: 0.796). These GDM biomarkers are also associated with clinical profiles and adverse outcomes, thereby predicting maternal and neonatal risks (internal test AUC: 0.764 and 0.838; real-world test: 0.726 and 0.792, respectively). Eleven GDM biomarkers are already altered in the first trimester, which can be used for the early prediction of GDM (internal test AUC: 0.767; real-world test: 0.744). In this work, changes and interactions of metabolites in saliva, serum, and urine in the second trimester are first identified in GDM, providing insights into its pathogenesis and potential early prediction and prevention strategies. The comprehensive changes and interactions of second-trimester metabolites in saliva, serum, and urine were found in GDM; they were involved in the pathogenesis and assisted in the early diagnosis and prognosis prediction of GDM
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Metabolomics of saliva, serum, and urine for pathogenesis, diagnosis, and prognosis in gestational diabetes mellitus
- Date Crossref
- 11/12/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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School of Medicine Women's Hospital pays non établi dans la noticeÉtablissement de santé
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Pennington Biomedical Research Center pays non établi dans la noticeStructure de recherche
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Tulane University pays non établi dans la noticeUniversité ou école supérieure
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Well-healthcare Technologies Co. Ltd. pays non établi dans la noticeEntreprise
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Zhejiang Key Laboratory of Maternal and Infant Health pays non établi dans la noticeStructure de recherche
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School of Public Health and Tropical Medicine Department of Epidemiology pays non établi dans la noticeUniversité ou école supérieure
Women's Hospital — School of Medicine, Pennington Biomedical Research Center et Tulane University, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.