首页> 外文期刊>Journal of cellular biochemistry. >Jun, Gal, Cd74, and C1qb Jun, Gal, Cd74, and C1qb as potential indicator for neuropathic pain
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Jun, Gal, Cd74, and C1qb Jun, Gal, Cd74, and C1qb as potential indicator for neuropathic pain

机译:Jun,Gal,CD74和C1QB Jun,Gal,CD74和C1QB作为神经病疼痛的潜在指标

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摘要

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.
机译:摘要神经病性疼痛是一种疼痛,由初级或次要损伤或外周或中枢神经系统功能障碍引起的疼痛。神经性疼痛的患者通常具有较差的临床结果。在假手术模型中,筛选坐骨神经损伤和背根神经节基因之间的差异表达基因。微阵列和粪便神经损伤模块用于探讨受损伤的神经病疼痛的分子机制,并鉴定出差异表达的基因(DEGS)。此外,使用生物信息学方法来弄清出信号通路和表达调节模式,这些含量富集,可以为治疗的分子研究和药物靶标提供依据。此外,对这些选定的交叉基因进行蛋白质 - 蛋白质相互作用网络分析。筛选了总共40只次数,并且仅对PCTP基因进行了下调,左39个基因均上调。然后,通过David软件对这些交叉基因进行GO和KEGG浓缩分析。此外,蛋白质 - 蛋白质相互作用网络分析用于分析神经性疼痛的临界基因。最后,鉴定了四种基因,即Jun,Gal,CD74和C1Qb与其他基因具有强烈的相互作用,其可以作为由外周血损伤引起的神经病疼痛的预后和预测基因。我们的研究结果表明,四种差异表达的基因,Jun,Gal,CD74和C1Qb有可能作为神经性疼痛的预后或预测标志物,表明在改善预后工具和治疗方面的潜在应用。

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