Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology

Area of Science:

• Genomics
• Molecular Biology
• Immunology

Background:

• Osteoarthritis (OA) is a degenerative joint disease with complex molecular underpinnings.
• Identifying specific gene expression changes and associated biological processes is crucial for understanding OA pathogenesis.

Purpose of the Study:

• To identify differentially expressed (DE) genes in osteoarthritis (OA) patients.
• To elucidate biological processes linked to altered gene expression in OA.
• To provide insights into the molecular mechanisms of OA.

Main Methods:

• A meta-analysis of publicly available Gene Expression Omnibus (GEO) datasets using the INMEX software.
• Inclusion of three GEO datasets comprising 137 OA patients and 52 healthy controls.
• Gene Ontology (GO) enrichment analysis to identify functional attributes of DE genes.

Main Results:

• Identified 85 consistently differentially expressed genes in OA (30 upregulated, 55 downregulated).
• The most significant upregulated gene was SKP2 (S-phase kinase-associated protein 2); the most significant downregulated gene was PRR5L (Proline rich 5 like).
• Top enriched GO categories were 'Immune response' (P=0.000129438) and 'Immune effectors process' (P=0.000288619).

Conclusions:

• This meta-analysis successfully identified consistently differentially expressed genes in OA.
• The findings highlight the involvement of immune response pathways in OA pathogenesis.
• The identified genes and pathways offer potential targets for understanding OA molecular mechanisms.