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Identification and validation of hub genes and potential drugs involved in osteoarthritis through bioinformatics
Wenbo Xu1, Xuyao Wang2, Donghui Liu3
1The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Abstract:
Purpose: Osteoarthritis (OA) is a common degenerative disease, which still lacks specific therapeutic drugs. Synovitis is one of the most important pathological process in OA. Therefore, we aim to identify and analyze the hub genes and their related networks of OA synovium with bioinformatics tools to provide theoretical basis for potential drugs. Materials and methods: Two datasets were obtained from GEO. DEGs and hub genes of OA synovial tissue were screened through Gene Ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment as well as protein-protein interaction (PPI) network analysis. Subsequently, the correlation between expression of hub genes and ferroptosis or pyroptosis was analyzed. CeRNA regulatory network was constructed after predicting the upstream miRNAs and lncRNAs. The validation of hub genes was undertook through RT-qPCR and ELISA. Finally, potential drugs targeting pathways and hub genes were identified, followed by the validation of the effect of two potential drugs on OA. Results: A total of 161 commom DEGs were obtained, of which 8 genes were finally identified as hub genes through GO and KEGG enrichment analysis as well as PPI network analysis. Eight genes related to ferroptosis and pyroptosis respectively were significantly correlated to the expression of hub genes. 24 miRNAs and 69 lncRNAs were identified to construct the ceRNA regulatory network. The validation of EGR1, JUN, MYC, FOSL1, and FOSL2 met the trend of bioinformatics analysis. Etanercept and Iguratimod reduced the secretion of MMP-13 and ADAMTS5 of fibroblast-like synoviocyte. Conclusion: EGR1, JUN, MYC, FOSL1, and FOSL2 were identified as hub genes in the development of OA after series of bioinformatics analysis and validation. Etanercept and Iguratimod seemed to have opportunities to be novel drugs for OA.
Insights
Researchers identified key genes (EGR1, JUN, MYC, FOSL1, FOSL2) involved in osteoarthritis (OA) synovium development using bioinformatics. These findings support Etanercept and Iguratimod as potential novel OA drugs.
Area of Science:
- Molecular Biology
- Genetics
- Rheumatology
Background:
- Osteoarthritis (OA) is a prevalent degenerative joint disease with limited targeted therapies.
- Synovitis is a critical pathological process in OA pathogenesis.
- Identifying key molecular players in OA synovium is crucial for therapeutic development.
Purpose of the Study:
- To identify and analyze hub genes and regulatory networks in OA synovial tissue using bioinformatics.
- To provide a theoretical basis for developing novel therapeutic drugs for OA.
- To investigate the correlation of hub genes with ferroptosis and pyroptosis in OA.
Main Methods:
- Analysis of gene expression datasets from OA synovial tissue.
- Screening of differentially expressed genes (DEGs) and hub genes via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment.
- Protein-protein interaction (PPI) network analysis and ceRNA regulatory network construction.
- Validation of hub gene expression using RT-qPCR and ELISA.
Main Results:
- 161 common DEGs were identified, with 8 selected as hub genes.
- Significant correlations were found between hub gene expression and ferroptosis/pyroptosis.
- A ceRNA network involving 24 miRNAs and 69 lncRNAs was constructed.
- EGR1, JUN, MYC, FOSL1, and FOSL2 were validated as key hub genes.
- Etanercept and Iguratimod reduced MMP-13 and ADAMTS5 secretion in fibroblast-like synoviocytes.
Conclusions:
- EGR1, JUN, MYC, FOSL1, and FOSL2 are identified as critical hub genes in OA development.
- The identified hub genes and networks offer insights into OA pathogenesis.
- Etanercept and Iguratimod show potential as novel therapeutic agents for osteoarthritis.
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