Department of Anesthesiology, the Second People's Hospital of Jingmen, Jingmen, Hubei, China.
Department of Neurology, Huai'an Second People's Hospital, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, China.
J Cell Biochem. 2018 Jun;119(6):4792-4798. doi: 10.1002/jcb.26673. Epub 2018 Mar 7.
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.
神经病理性疼痛是一种由外周或中枢神经系统的原发性或继发性损伤或功能障碍引起的疼痛。患有神经病理性疼痛的患者往往临床预后较差。我们筛选了假手术模型中坐骨神经损伤和背根神经节基因之间差异表达的基因。使用微阵列和 spared nerve injury 模块来探讨损伤引起的神经病理性疼痛的分子机制,并鉴定出差异表达基因(DEGs)。此外,还使用生物信息学方法来找出这些 DEGs 富集的信号通路和表达调控模式,这可能为分子研究和治疗靶点提供依据。此外,对这些选定的交集基因进行蛋白质-蛋白质相互作用网络分析。筛选出 40 个差异表达基因,仅 pctp 基因下调,其余 39 个基因均上调。然后,通过 DAVID 软件对这些交集基因进行 GO 和 KEGG 富集分析。此外,还使用蛋白质-蛋白质相互作用网络分析来分析神经病理性疼痛的关键基因。最后,鉴定出 4 个基因,即 Jun、Gal、Cd74 和 C1qb,与其他基因具有很强的相互作用,可能作为周围损伤引起的神经病理性疼痛的预后和预测基因。我们的研究结果表明,4 个差异表达基因 Jun、Gal、Cd74 和 C1qb 具有作为神经病理性疼痛预后或预测标志物的潜力,提示其可能在改善预后工具和治疗方法方面具有潜在应用价值。