Abstract
Neuropathic pain is a kind of pain caused by primary or secondary impairment or dysfunction of peripheral or central nervous system. Patients with neuropathic pain were often with poor clinical outcome. We screened the differentially expressed genes between sciatic nerve injury and dorsal root ganglion gene in the sham operation model. Microarray and the spared nerve injury module were used to explore the molecular mechanism of neuropathic pain by injuries and the differentially expressed genes (DEGs) were identified out. Besides, the bioinformatics methods were used to figure out the signaling pathways and expression regulation pattern these DEGs were enriched in, which may provide a basis for the molecular research and medicine target of therapy. Besides, protein-protein interaction network analysis was performed on these selected intersection genes. A total of 40 DEGs were screened out and only pctp gene was down-regulated, the left 39 genes were all up-regulated. Then, GO and KEGG enrichment analysis were performed on these intersection genes by DAVID software. Furthermore, protein-protein interaction network analysis was used to analyze the critical genes of neuropathic pain. Finally, four genes, that is, Jun, Gal, Cd74, and C1qb were identified to have strong interactions with other genes, which may function as the prognostic and predictive genes of neuropathic pain caused by peripheral injuries. Our results suggested that four differentially expressed genes, Jun, Gal, Cd74, and C1qb, had the potential to serve as prognostic or predictive markers for neuropathic pain, suggesting a potential application in the improvement of prognostic tools and treatments.
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