医学
免疫分型
队列
类风湿性关节炎
内科学
免疫学
免疫系统
痹症科
流式细胞术
作者
Satoshi Kubo,Yusuke Miyazaki,T Nishino,Yuya Fujita,Michihiro Kono,Tsugumi Kawashima,Kazuyoshi Ishigaki,Katsuhide Kusaka,Hiroaki Tanaka,M Ueno,R. Kanda,Yoshino Inoue,Yasuyuki Todoroki,Ippei Miyagawa,Kentaro Hanami,Shingo Nakayamada,Yoshiya Tanaka
标识
DOI:10.1136/ard-2024-226228
摘要
Objective Considering the diverse aetiologies and immunodysregulatory statuses observed in each patient with rheumatoid arthritis (RA), stratification based on peripheral blood immunophenotyping holds the potential to enhance therapeutic responses to molecular targeted therapies, biological/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs). Methods Immunophenotype analysis was conducted on a cohort of over 500 b/tsDMARDs-naïve patients using flow cytometry. Patients with RA were stratified based on their immunophenotypes, and the treatment response to each targeted therapy was evaluated. Validation was performed using an additional cohort of 183 b/tsDMARDs-naïve patients with RA. Results Patients with RA were stratified into five clusters, two of which exhibited distinct RA phenotypes compared with controls, characterised by significant increases in CD4 + effector memory T cells re-expressing CD45RA. Notably, the effectiveness of different b/tsDMARDs varied across clusters. The group using promising b/tsDMARDs was labelled as ‘expected’ whereas the ‘non-expected’ group comprised those using others. The expected group outperformed the non-expected group with higher 26-week remission rates (39.9% vs 24.6%, p=0.0004) and low disease activity achievement (80.8% vs 60.2%, p<0.0001). Trajectory analysis showed the non-expected group’s 26-week disease activity was influenced by Clinical Disease Activity Index at baseline unlike the expected group. Additionally, different molecular targeted therapies influenced the proportions of each immune cell subset variably. To validate, immunophenotyping was performed on a validation cohort. When 183 cases were grouped based on their b/tsDMARDs usage into expected/non-expected groups, the expected group had a higher remission rate (p=0.0021), further confirming the observed trend. Conclusion Our findings offer valuable insights into the diversity of RA and potential therapeutic strategies grounded in the molecular underpinnings.
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