Sjögren's disease & overlap diseases
Distinct Pathophysiologic Pathways Support Stratification of Sjögren's Disease Based on Symptoms, Clinical, and Routine Biological Data
Authors' conclusion
The three SjD clusters displayed distinct expressions of IFN signature and markers of T and B cell activation, confirming distinct pathophysiologic mechanisms.
Study context
- Population
- Patients with Sjögren disease (SjD) in the Assessment of Systemic Signs and Evolution in Sjögren's Syndrome cohort (94% female, median age 53 [IQR 43–63] years)94% female
- Participants
- 395 patients
- Exposure
- SjD clusters BALS vs high systemic activity (HSA) vs low systemic activity with high symptoms (LSAHS), and high vs low interferon (IFN) signature
- Outcome
- Association of clusters with distinct biomarkers and prognostic value of IFN signature
Methodological details20-year prospective cohort, cluster-based stratification, transcriptomic analysis
- 20-year prospective cohort
- Cluster-based stratification
- Transcriptomic analysis
Main finding
As reported in the abstract
High IFN signature
Observational data: associations, not effects.
Further findings
| Outcome | HR (95% CI) | |
|---|---|---|
| New immunosuppressant treatment, highvs low IFN signature, in BALS cluster (subgroup) | 9.38 (1.22–72.16) | |
| 0.050.21520Hazard ratio (log scale) |
Lymphoma
- All lymphoma occurred in patients with high IFN signature
Original publication
Distinct Pathophysiologic Pathways Support Stratification of Sjögren's Disease Based on Symptoms, Clinical, and Routine Biological Data. Arthritis Rheumatol. Published 27 January 2025. doi:10.
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