神经病理性疼痛神经免疫机制的生物信息学分析。
Bioinformatic Analysis of Neuroimmune Mechanism of Neuropathic Pain.
机构信息
Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
International Science and Technology Cooperation Base of Spinal Cord Injury, Tianjin Key Laboratory of Spine and Spinal Cord Injury, Department of Orthopedics, Tianjin Medical University General Hospital, Tianjin, China.
出版信息
Biomed Res Int. 2020 Aug 28;2020:4516349. doi: 10.1155/2020/4516349. eCollection 2020.
BACKGROUND
Neuropathic pain (NP) is a devastating complication following nerve injury, and it can be alleviated by regulating neuroimmune direction. We aimed to explore the neuroimmune mechanism and identify some new diagnostic or therapeutic targets for NP treatment via bioinformatic analysis.
METHODS
The microarray GSE18803 was downloaded and analyzed using R. The Venn diagram was drawn to find neuroimmune-related differentially expressed genes (DEGs) in neuropathic pain. Gene Ontology (GO), pathway enrichment, and protein-protein interaction (PPI) network were used to analyze DEGs, respectively. Besides, the identified hub genes were submitted to the DGIdb database to find relevant therapeutic drugs.
RESULTS
A total of 91 neuroimmune-related DEGs were identified. The results of GO and pathway enrichment analyses were closely related to immune and inflammatory responses. PPI analysis showed two important modules and 8 hub genes: , , , , , , , and . The drug-hub gene interaction network was constructed by Cytoscape, and it included 24 candidate drugs and 3 hub genes.
CONCLUSION
The present study helps us better understand the neuroimmune mechanism of neuropathic pain and provides some novel insights on NP treatment, such as modulation of microglia polarization and targeting bone resorption. Besides, , , , , and may be used as early diagnostic biomarkers and the gene HCK can be a therapeutic target.
背景
神经病理性疼痛（NP）是一种严重的神经损伤并发症，可以通过调节神经免疫方向来缓解。我们旨在通过生物信息学分析来探索神经免疫机制，并确定一些新的诊断或治疗靶点，用于 NP 的治疗。
方法
下载 GSE18803 微阵列并使用 R 进行分析。绘制 Venn 图以找到神经病理性疼痛中的神经免疫相关差异表达基因（DEGs）。分别使用基因本体论（GO）、通路富集和蛋白质-蛋白质相互作用（PPI）网络来分析 DEGs。此外，将鉴定的关键基因提交给 DGIdb 数据库，以寻找相关的治疗药物。
结果
共鉴定出 91 个神经免疫相关的 DEGs。GO 和通路富集分析的结果与免疫和炎症反应密切相关。PPI 分析显示出两个重要的模块和 8 个关键基因：，，，，，，，和。通过 Cytoscape 构建了药物-关键基因相互作用网络，其中包括 24 种候选药物和 3 个关键基因。
结论
本研究有助于我们更好地理解神经病理性疼痛的神经免疫机制，并为 NP 的治疗提供了一些新的见解，如调节小胶质细胞极化和靶向骨质吸收。此外，，，，，和 可能作为早期诊断生物标志物，基因 HCK 可作为治疗靶点。
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