Bioinformatics Analysis of Some Novel Potential Biomarkers Associated With Osteoarthritis and Nervous System

Abstract BackgroundOsteoarthritis (OA) is an age-related chronic inflammatory and degenerative changes that carries heavy burden for individuals and the society. The specific mechanism of OA still remains unclear today, which requires new methods and technologies to achieve some new breakthrough. Bioinformatics technology is a novel method to extract genetic information from many diseases. In this study, we aims at screening out some key genes to help to illuminate the pathogenesis of OA to help to diagnosis and cure it.Objective and MethodsBioinformatics technology was used to screen some key target genes that were closely related to OA and nervous system, and by using qRT-PCR to preliminary verify the results.ResultsIn this work, we analysis three gene expression profiles, GSE114007, GSE51588, and GSE55457, that downloaded from the Gene Expression Omnibus database (GEO). At last, a total of 878 DEGs were identified with dataset GSE114007 (P<0.05 and |logFC|>1.5), consisting of 495 up-regulated genes and 383 down-regulated genes between the osteoarthritis and normal cartilage tissues. And by combining with the screened results of GSE51588 and GSE55457, finally, three genes, HES1, JUN, and IRE2, which were closely correlated with the nervous system that may help to diagnosis and cure osteoarthritis in the future were identified, and the result of qRT-PCR preliminary confirmed our finding.ConclusionHES1, JUN, and IRE2 were three potential genes related to osteoarthritis and nervous system that may help to diagnosis and cure OA.