Identification of key biomarkers in RF-negative polyarticular and oligoarticular juvenile idiopathic arthritis by bioinformatic analysis
Authors' conclusion
In this study, we identified JUN, CXCL8, SOCS3, and KRAS as biomarkers for RF-negative pJIA and JUN, CXCL8, SOCS3, PTGS2, and NFKBIA as biomarkers for oJIA.
Study context
- Population
- Juvenile idiopathic arthritis (JIA) dataset from the GEO database (GSE20,307): RF-negative pJIA and oligoarticular juvenile idiopathic arthritis (oJIA)
- Comparison
- RF-negative pJIA vs oJIA
- Outcome
- Diagnostic biomarkers and role of immune cells in the pathogenesis of RF-negative pJIA and oJIA
Methodological detailsGEO dataset GSE20307, differentially expressed genes, WGCNA, protein-protein interaction network, CIBERSORT
- GEO dataset GSE20307
- Differentially expressed genes
- WGCNA
- Protein-protein interaction network
- CIBERSORT
Main finding
As reported in the abstract
Differentially expressed genes, modules and hub genes
| Group | Value | WGCNA modules | Hub genes with high diagnostic sensitivity and specificity |
|---|---|---|---|
| RF-negative pJIA | 1438 differentially expressed genes (DEGs) | 6 | 4 |
| oJIA | 688 DEGs | 4 | 5 |
Value
RF-negative pJIA1438 DEGs
oJIA688 DEGs
WGCNA modules
RF-negative pJIA6
oJIA4
Hub genes with high diagnostic sensitivity and specificity
RF-negative pJIA4
oJIA5
- Hub genes identified in both pJIA and oJIA
- 6
Original publication
Identification of key biomarkers in RF-negative polyarticular and oligoarticular juvenile idiopathic arthritis by bioinformatic analysis. Pediatr Rheumatol Online J. Published 24 November 2023. doi:10.
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