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A multi-biomarker panel for predicting Tocilizumab response in Rheumatoid arthritis patients.
- Source :
- Translational Research: The Journal of Laboratory & Clinical Medicine; Nov2024, Vol. 273, p23-31, 9p
- Publication Year :
- 2024
-
Abstract
- • Identification of protein biomarkers for predicting Tocilizumab response in Rheumatoid arthritis. • High-precision proteomics approach using Data-independent acquisition mass spectrometry in RA patient serum. • Developed a robust multi-biomarker panel with 86 % discriminative power and 0.84 AUC. • Potential diagnostic tool for TCZ non-responder prediction in RA patients. Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease characterized by inflammation in the synovial lining of the joints. Key inflammatory cytokines such as interleukin-6 (IL-6), TNF-α, and others play a critical role in the activation of local synovial leukocytes and the induction of chronic inflammation. Tocilizumab (TCZ), a humanized anti-IL-6 receptor monoclonal antibody, has demonstrated significant clinical efficacy in treating RA patients. However, similar to other inflammatory cytokine blockers, such as TNF-alpha inhibitors, Interleukin-1 inhibitors, or CD20 inhibitors, some patients do not respond to treatment. To address this challenge, our study employed a high-precision proteomics approach to identify protein biomarkers capable of predicting clinical responses to Tocilizumab in RA patients. Through the use of data-independent acquisition (DIA) mass spectrometry, we analyzed serum samples from both TCZ responders and non-responders to discover potential biomarker candidates. These candidates were subsequently validated using individual serum samples from two independent cohorts: a training set (N = 70) and a test set (N = 18), allowing for the development of a robust multi-biomarker panel. The constructed multi-biomarker panel demonstrated an average discriminative power of 86 % between response and non-response groups, with a high area under the curve (AUC) value of 0.84. Additionally, the panel exhibited 100 % sensitivity and 60 % specificity. Collectively, our multi-biomarker panel holds promise as a diagnostic tool to predict non-responders to TCZ treatment in RA patients. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19315244
- Volume :
- 273
- Database :
- Supplemental Index
- Journal :
- Translational Research: The Journal of Laboratory & Clinical Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 179526794
- Full Text :
- https://doi.org/10.1016/j.trsl.2024.07.001