Spondyloarthritis & psoriatic arthritis
Transcriptomic and proteomic analysis stratifies patients with axial spondyloarthritis based on disease activity, structural damage and radiographic progression
Authors' conclusion
This study identified molecular pathways involved in radiographic damage and discovered potential proteomic biomarkers of disease severity and transcriptomic predictors of radiographic progression in axSpA.
Study context
- Population
- Patients with axial spondyloarthritis (axSpA)discovery 24, validation 60, proteomic 60
- Participants
- 144 patients
- Outcome
- Clinical profile of the two transcriptomic clusters (disease activity, functional impairment, structural damage)
Methodological detailstranscriptomic (RNA sequencing of PBMCs), validation cohort (microfluidic PCR), 5-year follow-up, machine learning, independent proteomic cohort (Proximity Extension Assay)
- Transcriptomic (RNA sequencing of PBMCs)
- Validation cohort (microfluidic PCR)
- 5-year follow-up
- Machine learning
- Independent proteomic cohort (Proximity Extension Assay)
Main finding
As reported in the abstract
- Six gene modules differentially expressed between the two clusters
- 6
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Transcriptomic and proteomic analysis stratifies patients with axial spondyloarthritis based on disease activity, structural damage and radiographic progression. RMD Open. Published 27 January 2026. doi:10.
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