Spondyloarthritis & psoriatic arthritis
Transcriptomic profiling of secukinumab-treated psoriatic arthritis reveals potential novel response-associated pathways
Authors' conclusion
We identified two genes as pre-treatment predictive biomarkers of secukinumab response that persisted over time. Integration with WGCNA revealed five additional candidate genes. These genes are implicated in metabolic pathways, which may modulate the secukinumab response.
Study context
- Population
- Patients with PsA commencing secukinumab in OUtcomes of Treatment in Psoriatic Arthritis Study Syndicate (OUTPASS), a prospective observational cohort of patients with PsA initiating advanced therapeuticssecukinumab-treated
- Participants
- 13 patients
- Comparison
- Responders vs non-responders to secukinumab
- Outcome
- Transcriptomic predictive biomarkers of response (differentially expressed genes (DEGs): adjusted P < 0.05, |log2 fold change| ≥ 1); response by DAS28 criteria and Psoriatic Arthritis Response Criteria
- Follow-up
- 3 months
Methodological detailstranscriptomic (whole-blood RNA sequencing), longitudinal, extreme phenotype response sampling, nested in prospective observational cohort (OUTPASS), Differential gene expression analysis, Ingenuity Pathway Analysis (IPA) and WGCNA; immune cell subset proportions estimated by deconvolution
- Transcriptomic (whole-blood RNA sequencing)
- Longitudinal
- Extreme phenotype response sampling
- Nested in prospective observational cohort (OUTPASS)
- Differential gene expression analysis, IPA and WGCNA; immune cell subset proportions estimated by deconvolution
Main finding
As reported in the abstract
Differentially expressed genes in responders · baseline and 3 months
- Five overlapping genes (GMPR, CDC34, DMTN, UBXN6, SLC25A39) identified as potential drivers
- 5
Original publication
Transcriptomic profiling of secukinumab-treated psoriatic arthritis reveals potential novel response-associated pathways. Rheumatology (Oxford). Published 15 April 2026. doi:10.
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