Autoinflammatory & rare systemic diseases
Autoantibody reactome analysis reveals diagnostic biomarkers and molecular classification for relapsing polychondritis
Authors' conclusion
The 14 autoantibodies promoted a noninvasive early detection of RP, predicted disease recurrence and provided new insights into the understanding of RP pathogenesis.
Study context
- Population
- Plasma samples from relapsing polychondritis (RP) patients, healthy controls and disease controls
- Participants
- 467 / 164 / 186
- Comparison
- RP vs healthy controls (HCs) and disease controls (DCs)
- RPn = 467
- HCsn = 164reference
- DCsn = 186reference
- Outcome
- Diagnostic performance of novel autoantibodies for RP
Methodological detailsautoantibody microarrays (2 sequential) and ELISA, discovery, validation and verification phases, machine learning and differential analysis
- Autoantibody microarrays (2 sequential) and ELISA
- Discovery, validation and verification phases
- Machine learning and differential analysis
Performance
As reported in the abstract
Diagnostic performance of 14 new autoantibodies
| Test or model | Sensitivity | Specificity |
|---|---|---|
| RP vs HCs | 41% | 91.7% |
| RP vs DCs | 49.7% | 90.5% |
Sensitivity
RP vs HCs41%
RP vs DCs49.7%
Specificity
RP vs HCs91.7%
RP vs DCs90.5%
Further findings
Autoantibody reactome
- Elevated autoantibodies in RP, discriminating RP from HCs
- 1344
- Two molecular subtypes with distinct organ involvement and prognosis
- 6 autoantibodies with better diagnostic performance, consistently verified
Disease activity, recurrence and remission
- Anti-C4B positively correlated with disease activity
- Increased anti-KRT16 predicted RP recurrence within 1 year
- Anti-C4B, anti-FNBP4 and anti-KRT10 decreased from acute attack to remission
- C4B protein deposition in tracheal tissues with reduced plasma C4B
Original publication
Autoantibody reactome analysis reveals diagnostic biomarkers and molecular classification for relapsing polychondritis. Ann Rheum Dis. Published 8 July 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →