Improved sex-specific cardiovascular risk prediction with multi-omics data in people with type 2 diabetes
Sex-specific proteomic signatures markedly improved 10-year MACE risk prediction in individuals with T2D. In men but not in women, further integration of metabolomics may enhance model performance whereas adding the CVD-PRS is not needed. External validation is warranted.
Authors
- CHRISTIAN HERDER
- Ruijie Xie (ORCID: https://orcid.org/0000-0002-1635-962X)
- Sigrid Carlsson (ORCID: https://orcid.org/0000-0003-3553-5710)
- Hermann Brenner
- Ben Schöttker
- Sha Sha
Institutions
- German Cancer Research Center (DE)
- Lund University (SE)
- Heidelberg University (DE)
- Düsseldorf University Hospital (DE)
- Heidelberg Engineering (Germany) (DE)
- Deutsches Diabetes-Zentrum e.V. (DE)
- German Center for Diabetes Research (DE)
- Heinrich Heine University Düsseldorf (DE)
- Heidelberg University (US)
Publication Details
- Journal
- Cardiovascular Diabetology
- Published
- 2025-12-24
- DOI
- https://doi.org/10.1186/s12933-025-03036-5
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00