Precision Diagnostics in Primary Sjögren's Syndrome: Advances in Biomarkers, Epigenetic Markers, Immune Pathways, and Clinical Translation - PubMed
8 hours ago
- #autoimmune disease
- #biomarkers
- #artificial intelligence
- Primary Sjögren's syndrome (pSS) is a systemic autoimmune disease with challenges including seronegativity, heterogeneity, and delayed diagnosis.
- New autoantibodies like anti-DTD2, anti-RESF1, and anti-CALR, and panels including anti-SP-1, anti-PSP, and anti-CA6 improve diagnosis for seronegative cases.
- Non-invasive fluid biomarkers from saliva and tears, such as proteomics, exosomal miRNAs, and metabolomics, offer sensitive indicators of disease activity.
- Integration of multi-omics with machine learning achieves diagnostic accuracy comparable to biopsy and supports prognostic stratification.
- Artificial intelligence (AI) aids in biomarker discovery, enhances ultrasonography for inflammation quantification, and improves predictive models for early diagnosis and precision therapy.