Autoinflammatory & rare systemic diseases
Identification of candidate biomarkers for diagnosis, disease activity, and relapse prediction in IgG4-related disease
Authors' conclusion
This study identifies four novel serum biomarkers that effectively assist diagnosis, assess disease activity, and one capable for clinical relapse prediction.
Study context
- Population
- Treatment-naïve igG4-related disease (IgG4-RD) patients and healthy controls; validation in a large independent cohortvalidation cohort n = 220
- Participants
- 11 vs 11
- Comparison
- IgG4-RD vs healthy controls
- IgG4-RDn = 11
- Healthy controls (HCs)n = 11reference
- Outcome
- Candidate serum biomarkers of IgG4-RD
Methodological detailsOlink proteomics discovery cohort, independent ELISA validation cohort, 5-fold cross-validation, longitudinal follow-up
- Olink proteomics discovery cohort
- Independent ELISA validation cohort
- 5-fold cross-validation
- Longitudinal follow-up
Performance
As reported in the abstract
- Differentially expressed proteins between IgG4-RD and HCs (Olink)
- 27
Original publication
Identification of candidate biomarkers for diagnosis, disease activity, and relapse prediction in IgG4-related disease. Arthritis Res Ther. Published 13 March 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →