Clinical Edge Journal Scan

Potential Predictive Biomarkers for Biologic Treatment Response in PsA


 

Key clinical point: Treatment with biologics, such as tumor necrosis factor inhibitors (TNFi) and interleukin-17 inhibitors (IL-17i), altered serum levels of matrix metalloproteinase-3 (MMP3), S100 calcium-binding protein A8 (S100A8), acid phosphatase 5, tartrate resistant (ACP5), and CXC motif chemokine 10 (CXCL10), with initial levels of these biomarkers effectively predicting treatment response to biologics in patients with psoriatic arthritis (PsA).

Major finding: The serum levels of MMP3, S100A8, ACP5, CCL2, and CXCL10 were significantly reduced with TNFi (all P < .05), whereas ACP5 and CCL2 levels increased with IL-17i (both P < .05). The baseline levels of MMP3, S100A8, ACP5, and CXCL10 effectively predicted response to biologic treatment (area under the receiver operating characteristic curve > 0.8).

Study details: This study retrospectively analyzed data from 205 patients with PsA who did (n = 130) or did not (n = 75) receive biologics or conventional synthetic disease-modifying antirheumatic drugs and 56 patients with psoriasis without arthritis, of whom 28 patients received biologics.

Disclosures: This study was partially funded by the Canadian Institute of Health Research, with additional funding provided by the Krembil Foundation. The authors declared no conflicts of interest.

Source: Offenheim R, Cruz-Correa OF, Ganatra D, Gladman DD. Candidate biomarkers for response to treatment in psoriatic disease. J Rheumatol. 2024 (Sept 1). doi: 10.3899/jrheum.2024-0396 Source

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