The role of circRNA-miRNA-mRNA interaction network in rheumatoid arthritis using transcriptome data analysis

Background:Rheumatoid arthritis is the most common inflammatory joint disease that a↵ects about ۱% of the population. MicroRNAs (miRNAs) and circularRNAs(CircRNAs) are a group of ncRNAs that regulate gene expression at the post-transcriptional level. previous study have found the involvement of miRNAs and CircRNAs in the pathogenesis of RA. In this study, we used integrated bioinformatic analyzes with the aim of identifying genes, microRNAs, and biological pathways e↵ective in the pathogenesis of rheumatoid arthritis. Methods:Gene expression profile of RA was downloaded from Gene Expression Omnibus database. Di↵erentially Expressed Genes related to ۴۷ healthy samples and ۷۲ rheumatoid arthritis samples of synovial tissue were analyzed using the GEO۲R tool. A defined formula [-log(p.value)×| log(fold change)| ] was applied to select ۳۰۰۰ top significant probs. After filtering, removing duplicates and finding common probes between mRNA datasets, ۲۰ relating miRNA‘s of Di↵erentially Expressed Genes established through Toppfun database.Toppgene database was used for Gene Ontology and microRNA target prediction. Cytoscape software was used to identify hub microRNAs.Results:Total ۲۰ Common Differentially Expressed Genes were identified in ۶ datasets. By using miRNA target peridction through Toppfun database, these miRNA‘s had ۵۴ in common with ۱۶۴ Differentially Expressed miRNA‘s in our dataset. ۶ hub genes (NFIB, ITGA۴, CLIC۵, AR, MYH۱۱), and ۷ microRNA hubs (miR۳۰c, miR۱۳۰b, miR۳۰۱a, miR۵۷۹, miR۳۰d) based on degree were identified that were related to these circRNA‘s. Conclusion:Our study investigated circRNA-miRNA-mRNA interactions which have role in the pathogenesis of Rheumatoid arthritis that can help discovering new biomarkers for Early Diagnosis

کلیدواژه ها:

rheumatoid arthritis ، RA ، circRNA ، miRNA ، mRNA ، interaction network