Bioinformatics Analysis Identifies p53 as a Candidate Prognostic Biomarker for Neuropathic Pain.
Bioinformatics Analysis Identifies p53 as a Candidate Prognostic Biomarker for Neuropathic Pain.
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生物信息学分析将 p53 确定为神经病理性疼痛的候选预后生物标志物。
DOI：
10.3389/fgene.2018.00320
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发表时间：
2018
影响因子：
3.7
通讯作者：
Yan M
中科院分区：
文献类型：
--
作者：
Gao Y;Sun N;Wang L;Wu Y;Ma L;Hong J;Ren J;Zhu B;Yu L;Yan M
神经性疼痛（NP）是一种不同于普通疼痛的慢性疼痛。NP的机制仍然知之甚少。探索NP的关键基因和神经生物学变化，可以为临床医生提供重要的诊断和治疗工具。GSE 24982是一个mRNA-seq数据集，我们从Gene Expression Omnibus数据库下载，以识别NP中的关键基因。用BRB-ArrayTools软件和R.使用Metascape进行DEG的功能和途径富集分析。使用Cytoscape创建并可视化蛋白质-蛋白质相互作用网络。共获得123个上调的DEG。在这些基因中，p53是具有最高程度的节点;因此，我们使用慢性压迫性损伤小鼠模型进行了实验验证。我们的研究结果表明，p53基因的过度表达，以及随后的caspase-3表达的增加，在背根神经节神经元导致这些神经元的凋亡变化增加。因此，p53可能是部分负责慢性压迫性损伤诱导的NP的发展。
Neuropathic pain (NP) is a type of chronic pain that is different from the common type of pain. The mechanisms of NP are still poorly understood. Exploring the key genes and neurobiological changes in NP could provide important diagnostic and treatment tools for clinicians. GSE24982 is an mRNA-seq dataset that we downloaded from the Gene Expression Omnibus database to identify key genes in NP. Differentially expressed genes (DEGs) were identified using the BRB-ArrayTools software and R. Functional and pathway enrichment analyses of the DEGs were performed using Metascape. A protein–protein interaction network was created and visualized using Cytoscape. A total of 123 upregulated DEGs were obtained. Among these genes, p53 was the node with the highest degree; hence, we validated it experimentally using a chronic constriction injury mouse model. Our results showed that overexpression of the p53 gene, and the subsequent increase in caspase-3 expression, in dorsal root ganglion neurons led to increased apoptotic changes in these neurons. p53 may therefore be partly responsible for the development of chronic constriction injury-induced NP.