Molecular clustering in osteoarthritis primary tissues identifies shared inflammatory and tissue-specific pathway profiles
Authors' conclusion
Our findings identify gene expression-based patient clusters in different primary joint tissues and point to shared and disease tissue-specific molecular programs in OA, thus setting the foundation for transcription signature-based patient stratification.
Study context
- Population
- Knee osteoarthritis (OA) patients; low- and high-grade OA knee cartilage, synovium and infrapatellar fat pad tissues
- Participants
- 330 patients
- Outcome
- Transcriptomic clusters across joint tissues
Methodological detailsRNA sequencing, unsupervised machine learning clustering, multi-omics factor analysis, external validation
- RNA sequencing
- Unsupervised machine learning clustering
- Multi-omics factor analysis
- External validation
Main finding
As reported in the abstract
Gene classifier cross-validated accuracy (low-grade cartilage subgroups), 95% CI 91.1-96.6%
94.5%
Observational data: associations, not effects.
Original publication
Molecular clustering in osteoarthritis primary tissues identifies shared inflammatory and tissue-specific pathway profiles. Osteoarthritis Cartilage. Published 19 August 2026. doi:10.
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