Clinical Proteomics | |
Tailored therapeutic decision of rheumatoid arthritis using proteomic strategies: how to start and when to stop? | |
Review | |
Ching-Yun Chen1  Hui-Yin Chang2  Shuo-Fu Chen3  Fu-Chiang Yeh4  | |
[1] Department of Biomedical Sciences and Engineering, Institute of Biomedical Engineering and Nanomedicine, National Central University, Taoyuan, Taiwan;Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan;Department of Biomedical Sciences and Engineering, Institute of Systems Biology and Bioinformatics, National Central University, No. 300, Zhongda Rd., Zhongli District, 320317, Taoyuan, Taiwan;Department of Heavy Particles & Radiation Oncology, Taipei Veterans General Hospital, Taipei, Taiwan;Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan; | |
关键词: Rheumatoid arthritis; Proteomics; Biomarkers; Prediction; Treatment response; | |
DOI : 10.1186/s12014-023-09411-2 | |
received in 2022-10-17, accepted in 2023-05-23, 发布年份 2023 | |
来源: Springer | |
【 摘 要 】
Unpredictable treatment responses have been an obstacle for the successful management of rheumatoid arthritis. Although numerous serum proteins have been proposed, there is a lack of integrative survey to compare their relevance in predicting treatment outcomes in rheumatoid arthritis. Also, little is known about their applications in various treatment stages, such as dose modification, drug switching or withdrawal. Here we present an in-depth exploration of the potential usefulness of serum proteins in clinical decision-making and unveil the spectrum of immunopathology underlying responders to different drugs. Patients with robust autoimmunity and inflammation are more responsive to biological treatments and prone to relapse during treatment de-escalation. Moreover, the concentration changes of serum proteins at the beginning of the treatments possibly assist early recognition of treatment responders. With a better understanding of the relationship between the serum proteome and treatment responses, personalized medicine in rheumatoid arthritis will be more achievable in the near future.
【 授权许可】
CC BY
© The Author(s) 2023
【 预 览 】
Files | Size | Format | View |
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