Vishnu S Chandran, Mithun C B, Sajitha Krishnan, Sandeep Surendran, Clint Sunny, Manu Pradeep
{"title":"CXCL13 as a Predictive Biomarker for Response to Methotrexate Monotherapy in Rheumatoid Arthritis.","authors":"Vishnu S Chandran, Mithun C B, Sajitha Krishnan, Sandeep Surendran, Clint Sunny, Manu Pradeep","doi":"10.1089/jir.2025.0041","DOIUrl":null,"url":null,"abstract":"<p><p>This prospective study investigated the utility of baseline CXCL13 levels in predicting methotrexate response and monitoring disease activity in 50 treatment-naive early rheumatoid arthritis (RA) patients (2010 American College of Rheumatology/European League Against Rheumatism criteria) treated with methotrexate. Participants were categorized into methotrexate responders (MTX-R, <i>n</i> = 29) and nonresponders (MTX-NR, <i>n</i> = 21) at 12 weeks. Baseline CXCL13 levels were significantly higher in MTX-R compared with MTX-NR (<i>P</i> = 0.035). Receiver operating characteristic curve analysis identified a baseline CXCL13 cutoff of >100 pg/mL for predicting methotrexate response, with 69% sensitivity, 52% specificity, and 62% accuracy. Posttreatment, CXCL13 levels decreased significantly in MTX-R (<i>P</i> < 0.001) but remained unchanged in MTX-NR. Disease activity parameters (eg, DAS-28) correlated with CXCL13 dynamics, though specific coefficients were not detailed. The study highlights CXCL13 as a potential biomarker for stratifying methotrexate therapy, with higher baseline levels favoring therapeutic response and posttreatment reductions reflecting clinical improvement. While moderate diagnostic accuracy limits standalone use, CXCL13 may complement existing tools to guide early personalized treatment. Further validation in larger cohorts is warranted to confirm its role in optimizing RA management.</p>","PeriodicalId":16261,"journal":{"name":"Journal of Interferon and Cytokine Research","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Interferon and Cytokine Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/jir.2025.0041","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This prospective study investigated the utility of baseline CXCL13 levels in predicting methotrexate response and monitoring disease activity in 50 treatment-naive early rheumatoid arthritis (RA) patients (2010 American College of Rheumatology/European League Against Rheumatism criteria) treated with methotrexate. Participants were categorized into methotrexate responders (MTX-R, n = 29) and nonresponders (MTX-NR, n = 21) at 12 weeks. Baseline CXCL13 levels were significantly higher in MTX-R compared with MTX-NR (P = 0.035). Receiver operating characteristic curve analysis identified a baseline CXCL13 cutoff of >100 pg/mL for predicting methotrexate response, with 69% sensitivity, 52% specificity, and 62% accuracy. Posttreatment, CXCL13 levels decreased significantly in MTX-R (P < 0.001) but remained unchanged in MTX-NR. Disease activity parameters (eg, DAS-28) correlated with CXCL13 dynamics, though specific coefficients were not detailed. The study highlights CXCL13 as a potential biomarker for stratifying methotrexate therapy, with higher baseline levels favoring therapeutic response and posttreatment reductions reflecting clinical improvement. While moderate diagnostic accuracy limits standalone use, CXCL13 may complement existing tools to guide early personalized treatment. Further validation in larger cohorts is warranted to confirm its role in optimizing RA management.
期刊介绍:
Journal of Interferon & Cytokine Research (JICR) provides the latest groundbreaking research on all aspects of IFNs and cytokines. The Journal delivers current findings on emerging topics in this niche community, including the role of IFNs in the therapy of diseases such as multiple sclerosis, the understanding of the third class of IFNs, and the identification and function of IFN-inducible genes.