Evaluation of large-scale plasma proteomics for prediction of heart failure in individuals with a full range of glucose metabolism profiles
This study identified plasma protein biomarkers linked to HF development in abnormal glucose metabolism population and established the predictive models. These findings support early identification in high-risk populations.
Authors
- Deqiang Zheng (ORCID: https://orcid.org/0000-0002-5659-5045)
- Changwei Li (ORCID: https://orcid.org/0000-0002-9203-304X)
- Jianguang Ji (ORCID: https://orcid.org/0000-0003-0324-9496)
- Lijuan Wu (ORCID: https://orcid.org/0000-0002-5761-5140)
- Guo J (ORCID: https://orcid.org/0000-0002-9980-8725)
- Rui Li (ORCID: https://orcid.org/0000-0001-5343-3027)
- Zhiguo Chen (ORCID: https://orcid.org/0000-0002-8242-4784)
- Haibin Li (ORCID: https://orcid.org/0000-0002-6932-982X)
- Wen Sun
- Yujie Zhang (ORCID: https://orcid.org/0000-0002-5524-2790)
Institutions
- Tulane University (US)
- Capital Medical University (CN)
- University of Macau (MO)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
- Second People Hospital of Hunan (CN)
- Hua Medicine (China) (CN)
- Beijing Center for Disease Prevention and Control (CN)
- Beijing Chaoyang Emergency Medical Center (CN)
- University of South China (CN)
Publication Details
- Journal
- European Journal of Preventive Cardiology
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1093/eurjpc/zwaf381
- Citations
- 3
- Primary Topic
- GDF15 and Related Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 5.00