Sex-specific proteomic signatures improve cardiovascular risk prediction for the general population without cardiovascular disease or diabetes
The derived sex-specific 10-year MACE risk prediction models, combining 12 protein concentrations among men and 11 protein concentrations among women with the SCORE2 model, significantly improved the discriminative abilities of the SCORE2 model. This study shows the potential of sex-specific proteomic profiles for enhanced cardiovascular risk stratification and personalized prevention strategies.
Authors
- Ben Schöttker (ORCID: https://orcid.org/0000-0002-1217-4521)
- Tomislav Vlaški (ORCID: https://orcid.org/0000-0002-1128-1288)
- Ruijie Xie (ORCID: https://orcid.org/0000-0002-1635-962X)
- Hermann Brenner (ORCID: https://orcid.org/0000-0002-6129-1572)
- Sha Sha (ORCID: https://orcid.org/0000-0002-4007-777X)
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1016/j.jare.2025.03.034
- Citations
- 8
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 6.45