Screening and Identification of Key Genes, Pathways, and Drugs Associated with Neuropathic Pain in Dorsal Horn: Evidence from Bioinformatic Analysis.
Screening and Identification of Key Genes, Pathways, and Drugs Associated with Neuropathic Pain in Dorsal Horn: Evidence from Bioinformatic Analysis.
复制标题
与背角神经病理性疼痛相关的关键基因、通路和药物的筛选和鉴定：来自生物信息学分析的证据
DOI：
10.2147/jpr.s312117
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发表时间：
2021
影响因子：
2.7
通讯作者：
Liu K
中科院分区：
文献类型：
--
作者：
Yang X;Zhu L;Zhao B;Hu J;Deng F;Lei S;Yao ZW;Liu K
目的神经病理性疼痛是神经系统损伤后发生的一种破坏性的复杂疾病。脊髓背角小胶质细胞作为一种免疫细胞驱动神经病理性疼痛。本研究旨在通过生物信息学分析寻找神经病理性疼痛的潜在差异表达基因（DEGs）和候选通路，并筛选新的转录因子和治疗药物。方法下载GSE 60670基因芯片数据库并进行分析。通过基因本体论（GO）、途径富集和蛋白质间相互作用（PPI）网络对DEG进行筛选和分析。分别通过NetworkAnalyst和DGIdb数据库预测DEG的转录因子（TF）和潜在的治疗药物。最后，我们选择了前10名的DEG进行外部验证。结果共检出DEG 100例。通路和GO分析结果与疟疾炎症通路和炎症反应密切相关。在PPI分析中发现了3个必需的PPI模块和9个枢纽基因，在54个DEG和32个TF中发现了277个DEG-TF对。此外，发现22种候选药物与9个枢纽基因匹配。前10名DEG中有9名的外部验证与生物信息学分析一致。结论本研究为神经病理性疼痛相关的功能基因集和通路提供了全面的分析，促进了对神经病理性疼痛机制和治疗的认识。
Purpose Neuropathic pain is a devastating complex condition occurring post-nervous system damage. Microglia in dorsal horn drives neuropathic pain as a kind of immune cell. We aimed to find potential differentially expressed genes (DEGs) and candidate pathways, which induced neuropathic pain, and to identify some new transcription factors and therapeutic drugs via bioinformatic analysis. Methods The microarray profile GSE60670 was downloaded and analyzed. DEGs were screened and analyzed through Gene Ontology (GO), pathway enrichment, and protein-to-protein interaction (PPI) network. Respectively, transcription factors (TFs) and potential therapeutic drugs for DEGs were predicted through NetworkAnalyst and DGIdb databases. At last, we chose top 10 DEGs for external validation. Results A total of 100 DEGs were identified. The results of pathway and GO analyses were closely related to malaria inflammatory pathway and inflammatory response. Three necessary PPI modules and 9 hub genes were identified in PPI analysis, and 277 DEG-TF pairs were found among 54 DEGs and 32 TF. Moreover, 22 candidate drugs were found to match 9 hub genes. External validation of 9 of the top 10 DEGs were consistent with bioinformatic analysis. Conclusion This study provided comprehensive analyses for the functional gene sets and pathways related to neuropathic pain and promoted our understanding of the mechanism or therapy of neuropathic pain.