Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in...

Area of Science:

• Rheumatology
• Bioinformatics
• Molecular Biology

Background:

• Rheumatoid arthritis (RA) is prevalent in the elderly, with poorly understood synovial inflammation mechanisms.
• Identifying specific genes and pathways in inflamed RA synovium is critical for understanding disease progression.

Purpose of the Study:

• To identify differentially expressed genes (DEGs) associated with synovial inflammation in RA.
• To elucidate the molecular mechanisms and key hub genes contributing to RA pathogenesis using bioinformatics.

Main Methods:

• Acquired gene expression profiles from GEO datasets (GSE55235, GSE55457).
• Identified DEGs using Morpheus software and analyzed co-expression with Venn diagrams.
• Constructed protein-protein interaction networks with Cytoscape and subnetworks with MCODE, followed by functional enrichment analysis (DAVID, GO, KEGG).

Main Results:

• Upregulated DEGs were linked to protein binding, extracellular matrix organization, RNA transcription, and cell adhesion.
• Downregulated DEGs were associated with immune response regulation, B-cell and T-cell receptor signaling.
• KEGG analysis revealed upregulated DEGs in cell adherens junction and osteoclast differentiation pathways; downregulated DEGs were enriched in primary immunodeficiency and cytokine-cytokine receptor interactions.

Conclusions:

• Bioinformatics network analysis identified key molecular mechanisms and hub genes in RA synovial inflammation.
• These findings provide insights into the pathogenesis of rheumatoid arthritis, particularly in the elderly population.
• The study highlights potential targets for understanding and managing RA progression.