Deciphering differential biomarkers for anti-interleukin-6 receptor and anti-tumour necrosis factor-α treatment response in rheumatoid arthritis by multiomics analysis.

IF 4.7 2区 医学 Q1 RHEUMATOLOGY
Inoncent Agueusop, Daniel Margerie, Anne Remaury, Raphaël Brard, Francesca Frau, Emilie Gerard, Gilbert Thill, Yaligara Veeranagouda, Michel Didier, Markus Kohlmann, Matthias Herrmann, Nadine Biesemann
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Abstract

Objective: To identify blood-based predictive and pharmacodynamic biomarkers at different timepoints in patients with active rheumatoid arthritis (RA) treated with anti-interleukin-6 receptor (anti-IL-6R) and anti-tumour necrosis factor-α (anti-TNF-α).

Methods: This study used blood samples from the MONARCH trial (NCT02332590), a randomised, double-blind, phase III trial that compared the safety and efficacy of sarilumab (anti-IL-6R) and adalimumab (anti-TNF-α) monotherapy in patients with RA who were intolerant/inadequate responders to methotrexate. The study evaluated predictive biomarkers to anti-IL-6R and anti-TNF-α treatments at baseline and week 2 and pharmacodynamic biomarkers at week 2 and week 24 using Olink proteomics analysis (n=804 serum samples from 268 patients). Change in gene expression levels (n=522 peripheral blood samples from 261 patients) by both treatments was assessed using RNA sequencing analysis.

Results: Serum biomarkers most predictive to anti-IL-6R were different from those of anti-TNF-α; predictive biomarkers for anti-IL-6R were correlated with innate immune activation and synovial inflammation, while predictive biomarkers for anti-TNF-α seemed to be more T-cell and neutrophil-related. For baseline predictive biomarkers, we had to focus on relative prediction as the absolute prediction performance of single and combination biomarkers using cross-validation was limited. Additionally, the pharmacodynamic effects of anti-IL-6R and anti-TNF-α on biomarkers as well as pathway signatures were distinct.

Conclusion: The unbiased analysis of serum proteins identified biomarkers most predictive of anti-IL-6R and anti-TNF-α at different timepoints that could explain the difference in the response rate in patients with RA. Further, both biomarker and pathway results highlighted a differentiated mode of action of both treatments.

通过多组学分析解读类风湿关节炎中抗白细胞介素-6受体和抗肿瘤坏死因子-α治疗反应的差异生物标志物。
目的:探讨抗白细胞介素-6受体(anti-IL-6R)和抗肿瘤坏死因子-α (anti-TNF-α)治疗的活动性类风湿关节炎(RA)患者不同时间点基于血液的预测和药效学生物标志物。方法:本研究使用了MONARCH试验(NCT02332590)的血液样本,这是一项随机、双盲、III期试验,比较了sarilumab(抗il - 6r)和adalimumab(抗tnf -α)单药治疗对甲氨蝶呤不耐受/反应不足的RA患者的安全性和有效性。该研究使用Olink蛋白质组学分析评估了基线和第2周抗il - 6r和抗tnf -α治疗的预测性生物标志物,以及第2周和第24周的药效学生物标志物(来自268名患者的804份血清样本)。采用RNA测序分析评估两种治疗方法的基因表达水平变化(来自261名患者的522份外周血样本)。结果:血清生物标志物对抗il - 6r的预测与抗tnf -α的预测不同;抗il- 6r的预测性生物标志物与先天免疫激活和滑膜炎症相关,而抗tnf -α的预测性生物标志物似乎更多地与t细胞和中性粒细胞相关。对于基线预测生物标志物,我们必须专注于相对预测,因为使用交叉验证的单一和组合生物标志物的绝对预测性能有限。此外,抗il - 6r和抗tnf -α对生物标志物和途径特征的药效学作用是不同的。结论:对血清蛋白的无偏分析鉴定出了在不同时间点最能预测抗il - 6r和抗tnf -α的生物标志物,这可以解释RA患者反应率的差异。此外,生物标志物和通路结果都强调了两种治疗的不同作用模式。
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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来源期刊
RMD Open
RMD Open RHEUMATOLOGY-
CiteScore
7.30
自引率
6.50%
发文量
205
审稿时长
14 weeks
期刊介绍: RMD Open publishes high quality peer-reviewed original research covering the full spectrum of musculoskeletal disorders, rheumatism and connective tissue diseases, including osteoporosis, spine and rehabilitation. Clinical and epidemiological research, basic and translational medicine, interesting clinical cases, and smaller studies that add to the literature are all considered.
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