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Corrigendum Open Access | 10.1172/jci.insight.191787

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

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, and Ulrika Andersson-Hall

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Published February 10, 2025 - More info

Published in Volume 10, Issue 3 on February 10, 2025
JCI Insight. 2025;10(3):e191787. https://doi.org/10.1172/jci.insight.191787.
© 2025 Chung et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Published February 10, 2025 - Version history
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Related article:

Longitudinal clinical and proteomic diabetes signatures in women with a history of gestational diabetes
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
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
Our research reveals risk factors for women with prior GDM, who are relatively young and healthy but face a 10-fold higher risk of T2D.
Research Article Metabolism

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

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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.

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

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Original citation JCI Insight. 2025;10(2):e183213. https://doi.org/10.1172/jci.insight.183213

Citation for this corrigendum: JCI Insight. 2025;10(3):e191787. https://doi.org/10.1172/jci.insight.191787

After publication of the manuscript, the authors notified the journal of an error in Figure 6. A previous version of the paper referenced an internal cohort that was subsequently removed from the final version of the manuscript. Figure 6 has been updated to more accurately reflect the study design. The HTML and PDF files have been updated.

The authors regret the error.

Footnotes

See the related article at Longitudinal clinical and proteomic diabetes signatures in women with a history of gestational diabetes.

Version history
  • Version 1 (February 10, 2025): Electronic publication

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