Predictors of response to TNF inhibitors in rheumatoid arthritis - do we have new tools for personalized medicine?

Ismail Simsek
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Abstract

The use of biological agents in the treatment of rheumatoid arthritis (RA) has grown constantly since the approval of the first therapeutic monoclonal antibody against tumor necrosis factor-alpha (TNF) in 1996. While these agents transformed RA treatment, not all patients respond to these agents. Moreover, the cost of these agents is high, and some patients may suffer from adverse events. Thus, the prediction of individual response to biological treatment has become a major clinical challenge in RA. Recent studies have provided evidence that biomarkers may be identified predictive of the response to therapy with these agents. This article will review some of the recent advances in the biomarkers and therapeutic drug monitoring as predictors of response to TNF inhibitor therapies in patients with RA.

类风湿关节炎对肿瘤坏死因子抑制剂反应的预测因子——我们是否有个性化医疗的新工具?
自1996年首个针对肿瘤坏死因子- α (TNF)的治疗性单克隆抗体获批以来,生物制剂在类风湿性关节炎(RA)治疗中的应用不断增长。虽然这些药物改变了类风湿性关节炎的治疗,但并非所有患者都对这些药物有反应。此外,这些药物的成本很高,一些患者可能会出现不良事件。因此,预测个体对生物治疗的反应已成为类风湿关节炎的主要临床挑战。最近的研究提供了证据,表明生物标志物可以预测这些药物治疗的反应。本文将回顾一些生物标志物和治疗药物监测作为RA患者对TNF抑制剂治疗反应的预测指标的最新进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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