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Published on: June 6, 2025
Genetic and clinical markers for predicting treatment responsiveness in rheumatoid arthritis
Xin Wu1, Xiaobao Sheng2,3, Rong Sheng1
1Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, Shanghai, 200003, China.
Abstract:
Although many drugs and therapeutic strategies have been developed for rheumatoid arthritis (RA) treatment, numerous patients with RA fail to respond to currently available agents. In this review, we provide an overview of the complexity of this autoimmune disease by showing the rapidly increasing number of genes associated with RA.We then systematically review various factors that have a predictive value (predictors) for the response to different drugs in RA treatment, especially recent advances. These predictors include but are certainly not limited to genetic variations, clinical factors, and demographic factors. However, no clinical application is currently available. This review also describes the challenges in treating patients with RA and the need for personalized medicine. At the end of this review, we discuss possible strategies to enhance the prediction of drug responsiveness in patients with RA.
Insights
Many rheumatoid arthritis (RA) patients do not respond to current treatments. This review explores genetic and clinical predictors for RA drug response, highlighting the need for personalized medicine strategies.
Area of Science:
- Immunology
- Genetics
- Pharmacology
Background:
- Rheumatoid arthritis (RA) is a complex autoimmune disease with numerous associated genes.
- Current RA treatments are ineffective for a significant number of patients.
- Understanding disease complexity is crucial for developing effective therapies.
Purpose of the Study:
- To review factors predicting drug response in rheumatoid arthritis (RA) patients.
- To highlight recent advances in identifying predictors for RA treatment.
- To discuss challenges and strategies for personalized medicine in RA.
Main Methods:
- Systematic review of literature on RA treatment and drug response predictors.
- Analysis of genetic variations, clinical factors, and demographic data.
- Exploration of challenges in RA patient treatment.
Main Results:
- Numerous genes are associated with the complexity of rheumatoid arthritis (RA).
- Predictive factors for RA drug response include genetic variations, clinical, and demographic factors.
- No current clinical applications exist for these predictive factors.
Conclusions:
- Personalized medicine is essential for improving rheumatoid arthritis (RA) treatment outcomes.
- Enhanced prediction of drug responsiveness is needed for RA patients.
- Further research into predictive strategies can optimize RA therapy.
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