Journal Article Epublish 1 citation
PubMed: 39589852 DOI: 10.1172/jci.insight.183213
Longitudinal clinical and proteomic diabetes signatures in women with a history of gestational diabetes.
JCI Insight 10(2)
Authors: Heaseung Sophia Chung, Lawrence Middleton, Manik Garg, Ventzislava A Hristova, Rick B Vega, David Baker, Benjamin G Challis, Dimitrios Vitsios, Sonja Hess, Kristina Wallenius, Agneta Holmäng, Ulrika Andersson-Hall
Affiliations
- Dynamic Omics, Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, USA.
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom.
- Early Clinical Development, Early CVRM, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, USA.
- Bioscience Metabolism and.
- Translational Science and Experimental Medicine, Early CVRM, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom.
- Bioscience Metabolism, Early CVRM, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
- Institute of Neuroscience and Physiology, Department of Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Abstract
We characterized the longitudinal serum protein signatures of women 6 and 10 years after having gestational diabetes mellitus (GDM) to identify factors associated with the development of type 2 diabetes mellitus (T2D) and prediabetes in this at-risk post-GDM population, aiming to discover potential biomarkers for early diagnosis and prevention of T2D. Our study identified 75 T2D-associated serum proteins and 23 prediabetes-associated proteins, some of which were validated in an independent T2D cohort. Machine learning (ML) performed on the longitudinal proteomics highlighted protein signatures associated with progression to post-GDM diabetes. We also proposed prognostic biomarker candidates that were differentially regulated in healthy participants at 6 years postpartum who later progressed to having T2D. Our longitudinal study revealed T2D risk factors for post-GDM populations who are relatively young and healthy, providing insights for clinical decisions and early lifestyle interventions.
MeSH
Diabetes Mellitus, Diabetes, Gestational, Serum, Biomedical Research, Biomarkers, Prediabetic State, History, Diabetes Mellitus, Type 2