摘要
目的通过对GEO数据库中糖尿病周围神经病变(DPN)相关基因芯片进行生物信息学分析,获取DPN关键基因及信号通路。方法在GEO数据库中下载DPN相关基因芯片,利用R语言分析DPN女性患者与正常对照组的差异基因(DEGs)并进行可视化,根据基因本体论(GO)和京都基因与基因组百科全书(KEGG)对差异基因进行注释,预测其功能与相关通路,利用STRING数据库构建蛋白质相互作用网络筛选核心基因。结果分析芯片GSE95849获取差异基因4746个,其中上调基因2218个,下调基因2528个。其中TFAP2C、ESR1、CX3CR1、FGL2处于蛋白质相互作用核心位点。结论差异基因主要参与MAPK通路,通过血糖稳态、炎症作用、神经元发育等参与DPN发病过程,为DPN的诊断及治疗提供新的思路。
Objective To obtain the key genes and signal pathways of diabetic peripheral neuropathy(DPN)through bioinformatics analysis of related gene chips in the GEO database.MethodsThe DPN-related gene chip was downloaded from the GEO database,and the differential genes(DEGs)between DPN female patients and the normal control group were analyzed and visualized using R language.According to the gene ontology(GO)and the Kyoto Encyclopedia of Genes and Genomes(KEGG),DEGs were annotated,their functions and related pathways were predicted,and a protein interaction network was constructed using the STRING database to screen for core genes.ResultsThe analysis chip GSE95849 obtained 4746 DEGs,of which 2218 genes were up-regulated and 2528 genes were down-regulated.Among them,TFAP2C,ESR1,CX3CR1,and FGL2 are at the core site of protein interaction.ConclusionDifferential genes are mainly involved in the MAPK pathway.They participate in the pathogenesis of DPN through blood glucose homeostasis,inflammatory effects,and neuronal development,providing new ideas for the diagnosis and treatment of DPN.
作者
张艺
邱珍
夏中元
ZHANG Yi;QIU Zhen;XIA Zhong-yuan(Department of Anesthesiology,People's Hospital of Wuhan University,Wuhan,Hubei 430060)
出处
《海南医学院学报》
CAS
2020年第1期53-58,共6页
Journal of Hainan Medical University