Protein-Predicted Obesity Phenotypes and Cardiovascular Events: A Secondary Analysis of UK Biobank Proteomics Data
Protein-predicted scores of obesity showed strong independent associations and predictive performance for MACEs, suggesting they may capture additional biological risk beyond anthropometry. These scores may complement existing risk models by providing a biologically informed approach to assessing obesity-related cardiovascular risk and improving risk stratification.
Authors
- Peter W.F. Wilson (ORCID: https://orcid.org/0000-0002-5653-7056)
- Bojung Seo (ORCID: https://orcid.org/0000-0001-5619-2476)
- Yan V. Sun (ORCID: https://orcid.org/0000-0002-2838-1824)
- Qin Hui (ORCID: https://orcid.org/0000-0002-8421-3518)
- Arshed Ali Quyyumi (ORCID: https://orcid.org/0000-0002-8166-679X)
- Chang Liu (ORCID: https://orcid.org/0000-0002-8918-7224)
Institutions
- Emory University (US)
- Atlanta VA Health Care System (US)
Publication Details
- Journal
- Proteomes
- Published
- 2025-10-09
- DOI
- https://doi.org/10.3390/proteomes13040051
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00