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预测类风湿关节炎患者对 IL6R 阻滞剂的治疗反应。

Predicting treatment response to IL6R blockers in rheumatoid arthritis.

机构信息

Centre of Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester.

NIHR Manchester Musculoskeletal BRU, Central Manchester Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK.

出版信息

Rheumatology (Oxford). 2020 Dec 1;59(12):3603-3610. doi: 10.1093/rheumatology/keaa529.

Abstract

Patients with severe, active RA who have not responded to conventional therapy may receive biological disease modifying anti-rheumatic drugs (bDMARDs). However, 40% of cases do not achieve complete disease control, resulting in a negative impact on patient quality of life and representing a waste of healthcare resources. Ongoing research seeks to establish biomarkers, which can be used to predict treatment response to biologics in RA to enable more targeted approaches to treatment. However, much of the work has focused on one class of biologic drug, the TNF inhibitors (TNFi). Here, we will review the current state of research to identify biomarkers predictive of response to the class of bDMARDs targeting the IL6R. While success has been limited thus far, serum drug and low ICAM1 levels have shown promise, with associations reported in independent studies. The challenges faced by researchers and lessons learned from studies of TNFi will be discussed.

摘要

患有严重、活动期类风湿关节炎且对常规治疗无反应的患者可能会接受生物疾病修正抗风湿药物(bDMARDs)治疗。然而,有 40%的病例无法实现完全疾病控制,从而对患者的生活质量产生负面影响,并造成医疗资源的浪费。目前的研究旨在确定生物标志物,这些标志物可用于预测类风湿关节炎对生物制剂的治疗反应,从而实现更有针对性的治疗方法。然而,大部分工作都集中在一类生物药物,即肿瘤坏死因子抑制剂(TNFi)上。在这里,我们将回顾当前的研究状况,以确定预测针对 IL6R 的 bDMARD 类药物治疗反应的生物标志物。虽然迄今为止取得的成功有限,但血清药物和低 ICAM1 水平显示出了希望,并且在独立研究中也有报道。我们将讨论研究人员所面临的挑战以及从 TNFi 研究中吸取的经验教训。

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