{"title":"Pathophysiology and stratification of treatment-resistant rheumatoid arthritis.","authors":"Saeko Yamada, Yasuo Nagafuchi, Keishi Fujio","doi":"10.1080/25785826.2023.2235734","DOIUrl":null,"url":null,"abstract":"<p><p>Early diagnosis and timely therapeutic intervention are clinical challenges of rheumatoid arthritis (RA), especially for treatment-resistant or difficult-to-treat patients. Little is known about the immunological mechanisms involved in refractory RA. In this review, we summarize previous research findings on the immunological mechanisms of treatment-resistant RA. Genetic prediction of treatment-resistant RA is challenging. Patients with and without anti-cyclic citrullinated peptide autoantibodies are considered part of distinct subgroups, especially regarding long-term clinical prognosis and treatment responses. B cells, T cells and other immune cells and fibroblasts are of pathophysiological importance and are associated with treatment responses. Finally, we propose a new hypothesis that stratifies patients with RA into two subgroups with distinct immunological pathologies based on our recent immunomics analysis of RA. One RA subgroup with a favorable prognosis is characterized by increased interferon signaling. Another subgroup with a worse prognosis is characterized by enhanced acquired immune responses. Increases in dendritic cell precursors and diversified autoreactive anti-modified protein antibodies may have pathophysiological roles, especially in the latter subgroup. These findings that improve treatment response predictions might contribute to future precision medicine for RA.</p>","PeriodicalId":37286,"journal":{"name":"Immunological Medicine","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Immunological Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/25785826.2023.2235734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/7/18 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Early diagnosis and timely therapeutic intervention are clinical challenges of rheumatoid arthritis (RA), especially for treatment-resistant or difficult-to-treat patients. Little is known about the immunological mechanisms involved in refractory RA. In this review, we summarize previous research findings on the immunological mechanisms of treatment-resistant RA. Genetic prediction of treatment-resistant RA is challenging. Patients with and without anti-cyclic citrullinated peptide autoantibodies are considered part of distinct subgroups, especially regarding long-term clinical prognosis and treatment responses. B cells, T cells and other immune cells and fibroblasts are of pathophysiological importance and are associated with treatment responses. Finally, we propose a new hypothesis that stratifies patients with RA into two subgroups with distinct immunological pathologies based on our recent immunomics analysis of RA. One RA subgroup with a favorable prognosis is characterized by increased interferon signaling. Another subgroup with a worse prognosis is characterized by enhanced acquired immune responses. Increases in dendritic cell precursors and diversified autoreactive anti-modified protein antibodies may have pathophysiological roles, especially in the latter subgroup. These findings that improve treatment response predictions might contribute to future precision medicine for RA.
早期诊断和及时治疗干预是类风湿关节炎(RA)的临床难题,尤其是对耐药或难以治疗的患者而言。人们对难治性 RA 所涉及的免疫机制知之甚少。在这篇综述中,我们总结了以往关于难治性 RA 免疫学机制的研究成果。对治疗耐药的 RA 进行基因预测具有挑战性。有抗环瓜氨酸肽自身抗体和无抗环瓜氨酸肽自身抗体的患者被认为属于不同的亚组,尤其是在长期临床预后和治疗反应方面。B细胞、T细胞和其他免疫细胞以及成纤维细胞具有重要的病理生理意义,并与治疗反应相关。最后,我们根据最近对 RA 进行的免疫组学分析,提出了一个新的假设,即把 RA 患者分为两个具有不同免疫病理的亚组。其中一个 RA 亚组预后良好,其特点是干扰素信号传导增加。另一个预后较差的亚组的特点是获得性免疫反应增强。树突状细胞前体和多样化自反应性抗修饰蛋白抗体的增加可能具有病理生理作用,尤其是在后一个亚组中。这些能改善治疗反应预测的发现可能有助于未来的RA精准医疗。