Circulating IL-17A accumulation reflects effective target blockade with secukinumab in spondyloarthritis
Frontiers in Immunology, 2026
Martínez-Moreno J., Llamas-Urbano A., Romero-Zurita L., Hanaee Y., Escudero-Contreras A., Blake P., Rawson K., Collantes-Estevez E., Barbarroja N., López-Medina C., Pérez-Sánchez C.
| Disease area | Application area | Sample type | Products |
|---|---|---|---|
Immunological & Inflammatory Diseases | Pathophysiology & Patient Stratification | Serum | Olink Target 48 |
Abstract
Objectives
To investigate the dynamics of IL-17A levels in patients with spondyloarthritis (SpA) treated with secukinumab and to determine the relationship between circulating IL-17A forms and clinical response.
Methods
We analyzed serum IL-17A levels in 33 samples from 11 SpA patients using the highly sensitive proximity extension assay (PEA) at baseline and after 6 and 12 months of secukinumab treatment. Clinical parameters including ASDAS and CRP were recorded. To distinguish free IL- 17A from secukinumab-bound IL-17A, we developed an innovative IgG column-based assay that separates free cytokine from antibody-conjugated fractions.
Results
Serum IL-17A levels significantly increased at 6 and 12 months post-secukinumab treatment. This increase correlated negatively with ASDAS and CRP, indicating better clinical response. Analysis showed that the rise was mainly due to the secukinumab-bound IL-17A fraction, while free IL-17A levels remained stable.
Conclusion
Our study reveals that the elevated IL-17A levels detected after secukinumab treatment primarily represent the antibody-conjugated form rather than free cytokine. This conjugated fraction is associated with improved clinical outcomes, suggesting it could serve as a biomarker for therapeutic efficacy. The novel IgG column-based assay provides a valuable tool for differentiating cytokine forms in patients undergoing monoclonal antibody therapies, with potential applications beyond SpA. These findings advance understanding of IL-17A dynamics during treatment and open new avenues for personalized monitoring and management in autoimmune diseases.