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2019年 第13卷 第4期

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《医学前沿（英文）》 >> 2019年 第13卷 第4期 doi: 10.1007/s11684-018-0659-3

Genetic and clinical markers for predicting treatment responsiveness in rheumatoid arthritis

. Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, Shanghai 200003, China.. School of Economics and Management, Tongji University, Shanghai 200092, China.. The Third Research Institute of the Ministry of Public Security, Shanghai 200031, China.. Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 100084, China.. Peking-Tsinghua Center for Life Sciences, Tsinghua University, Beijing 100084, China

录用日期： 2019-01-14 发布日期： 2019-01-14
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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.

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