Characterization of immune features and discovery of potential biomarkers for ankylosing spondylitis using deep plasma proteomics
By integrating the machine learning-based method with deep proteomics analysis, we explored the pathological mechanism and identified biomarkers for AS. Our study provides insights into the distinct protein expression patterns and pathogenesis of AS and may contribute to diagnosis, long-term monitoring, and therapy for this disease.
Authors
- Quan Jiang (ORCID: https://orcid.org/0000-0002-3031-7848)
- Hongxiao Liu (ORCID: https://orcid.org/0000-0001-5590-9447)
- Jie Ma (ORCID: https://orcid.org/0000-0002-8934-922X)
- Kun Yang (ORCID: https://orcid.org/0000-0002-6459-9185)
- Wanlin Liu (ORCID: https://orcid.org/0000-0001-6944-0547)
- Hongying Zhen
- Yu Wang (ORCID: https://orcid.org/0000-0003-2265-3742)
- Xiaohan Xu
- Jiandong Shi (ORCID: https://orcid.org/0000-0002-3329-1014)
- Bo Pang (ORCID: https://orcid.org/0000-0001-5330-4647)
- Yuening Chen (ORCID: https://orcid.org/0009-0004-3913-6287)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- Peking University First Hospital (CN)
- Guang’anmen Hospital (CN)
- Beijing Proteome Research Center (CN)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1016/j.jare.2025.05.052
- Citations
- 1
- Primary Topic
- Spondyloarthritis Studies and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.67
Funders
- National Natural Science Foundation of China
- China Academy of Traditional Chinese Medicine
- Beijing Municipal Natural Science Foundation