Plasma Proteomic Profiles Predict Individual Future Osteoarthritis Risk
Our study identified the role of plasma proteomics in predicting future OA risk, which could contribute to preemptive measures. The innovative model, which integrates proteomic biomarkers with clinical data, offers a potential tool for risk assessment, potentially optimizing OA management strategies and enhancing prevention efforts.
Authors
- Sheng‐Ming Dai (ORCID: https://orcid.org/0000-0001-8876-4205)
- Chen Zhu (ORCID: https://orcid.org/0000-0003-3582-9022)
- Zijian Kang (ORCID: https://orcid.org/0000-0002-0552-5485)
- Ying Zhu (ORCID: https://orcid.org/0000-0002-0256-3216)
- Jianzheng Zhang (ORCID: https://orcid.org/0000-0003-3996-6198)
- Qiang Tong (ORCID: https://orcid.org/0000-0002-4692-9363)
- Kai Li (ORCID: https://orcid.org/0000-0002-3062-3618)
- Wenxin Liu (ORCID: https://orcid.org/0000-0002-5733-1244)
- Ping Li (ORCID: https://orcid.org/0000-0003-4570-6341)
Institutions
- Donghua University (CN)
- Shanghai Jiao Tong University (CN)
- Queen Mary Hospital (CN)
- Chinese PLA General Hospital (CN)
- Shanghai Sixth People's Hospital (CN)
- China Agricultural University (CN)
Publication Details
- Journal
- Arthritis & Rheumatology
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1002/art.43143
- Citations
- 15
- Primary Topic
- Osteoarthritis Treatment and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 25.02