Identification of potential blood biomarkers of coronary artery disease using a cuproptosis gene set
We constructed a diagnostic prediction model based on cuproptosis-related genes using whole-blood transcriptome data. Our results identify HIST1H4E, IL6ST, and LST1 as potential biomarkers for CAD risk assessment. These findings provide a novel basis for the prediction, prevention, and individualized treatment of CAD.
Authors
- Fanyan Luo (ORCID: https://orcid.org/0000-0003-4682-5895)
- Zhanwei Zhu (ORCID: https://orcid.org/0009-0006-7355-9392)
- Kaibo Lei (ORCID: https://orcid.org/0000-0001-8075-562X)
- Can‐E Tang (ORCID: https://orcid.org/0000-0003-2582-7613)
- Ping Hu (ORCID: https://orcid.org/0000-0003-1115-0189)
- Jia Li (ORCID: https://orcid.org/0000-0002-2652-0034)
Institutions
- Central South University (CN)
- National Clinical Research (US)
- Xiangya Hospital Central South University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1186/s40001-025-03276-x
- Primary Topic
- Cardiac Fibrosis and Remodeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Universidade de Macau
- Fujian University of Traditional Chinese Medicine