Longitudinal clinical and proteomic diabetes signatures in women with a history of postgestational diabetes

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.

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Publication Details

Journal
JCI Insight
Published
2024-11-26
DOI
https://doi.org/10.1172/jci.insight.183213
Citations
2
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
1.17

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article

Longitudinal clinical and proteomic diabetes signatures in women with a history of postgestational diabetes

Rick B. Vega, Benjamin Challis, Ventzislava A. Hristova, Lawrence Middleton et al.
2 citations
JCI Insight
Gestational Diabetes Research and Management
1.17
article

Longitudinal clinical and proteomic diabetes signatures in women with a history of postgestational diabetes

Rick B. Vega, Benjamin Challis, Ventzislava A. Hristova, Lawrence Middleton, David Baker, Agneta Holmäng, Dimitrios Vitsios, Heaseung Sophia Chung, Sonja Y. Hess, Kristina Wallenius, Ulrika Andersson‐Hall, Manik Garg
article en
2 citations

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.

JCI InsightVol. 10(2)
AstraZeneca (United Kingdom) (GB), Bioscience Research (US), AstraZeneca (Netherlands) (NL), AstraZeneca (Japan) (JP), AstraZeneca (Finland) (FI), AstraZeneca (Sweden) (SE), AstraZeneca (United States) (US), University of Gothenburg (SE)
Amgen, AstraZeneca, Göteborgs Universitet, Emil och Wera Cornells Stiftelse, Sahlgrenska Akademin
Gender equality
Openalex Percentile: Top 18%
Gestational Diabetes Research and Management
1.17
DOIOpen Access PDFOpenAlex
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