Analysis of key genes and pathways of knee osteoarthritis based on GEO data mining

This study aims to give significant information for the research and treatment of knee osteoarthritis (KOA) targets, using bioinformatics methods to uncover the associated genes of KOA and explore their expression and clinical importance. GEO database was used to analyze differential genes of KOA, R was used to perform pathway enrichment analysis and functional annotation of differential genes, a protein-protein interaction network of differential genes was constructed, core modules of the protein-protein interaction network of relationship targets were screened, and common genes of 2 protein relationships were obtained. After combining, correcting, and screening the GSE51588, GSE55457, and GSE82107 data sets, 488 differential genes and 297 disease intersection targets were identified. The gene ontology study primarily focused on neutrophil activation and neutrophil activation in immunological response. Depending on Kyoto encyclopedia of genes and genomes analysis, signal pathways mostly included MAPK, IL-17, Wnt, TNF, and other information pathways. Biomarkers and treatment targets of KOA are likely to be PPBP, FPR2, PF4, ELANE, ORM1FPR1, PENK, POMC, RETN, ARG1, HIST1H2BB, and HIST1H2BJ. KOA can be treated clinically by regulating the expression of the above targets, activating or inhibiting related signal pathways, anti-inflammation, regulating apoptosis, and lowering oxidative stress.