Objective
This study investigates the causal association of characteristic genes in osteoarthritis (OA) by integrating Mendelian Randomization (MR) with bioinformatics analyses, focusing on the interplay between these genes and immune cell infiltration.
Methods
We analyzed gene expression data from the Gene Expression Omnibus, employing differential expression analysis, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, alongside protein-protein interaction networks, to identify characteristic genes. These genes were further examined for their diagnostic value in a validation dataset. CIBERSORT was utilized to assess immune cell infiltration and its association with the characteristic genes. MR provided insights into the causal association between characteristic genes and OA.
Results
The study identified 452 differentially expressed genes, highlighting CDKN1A, FOSB, MYC, ATF3, CXCL2 and CXCL8 as central to OA's pathogenesis. Immune infiltration analysis revealed significant variations in specific immune cell types within OA synovial tissue. MR analysis suggested a protective role for CDKN1A against OA development.
Conclusion
Our findings reveal associations between OA-related characteristic genes and immune cell infiltration, emphasizing CDKN1A's potential protective effect against OA. This work lays a foundation for further exploration into the molecular mechanisms of OA and its targeted treatment.