期刊文献+

通过生物信息学分析鉴定脓毒症患者中性粒细胞中差异表达的基因、转录因子、miRNA和通路

Identification of Differentially Expressed Genes,Transcription Factor,microRNAs and Pathways in Neutrophils of Sepsis Patients through Bioinformatics Analysis
下载PDF
导出
摘要 目的:脓毒症是由宿主对感染的反应失调引起的危及生命的器官功能障碍。我们旨在使用生物信息学分析筛选与脓毒症中性粒细胞相关的关键生物标志物。方法:从基因表达综合(GEO)数据库下载与脓毒症患者中性粒细胞相关的微阵列数据集,筛选差异表达基因(DEG),进行基因本体(GO)分析和京都基因和基因组百科全书(KEGG)分析,构建蛋白质⁃蛋白质互作网络,预测转录因子⁃调控基因网络,通过miRWalk2.0等数据库预测miRNA⁃DEG配对。验证筛选的差异基因、转录因子和miRNA,绘制受试者工作特征曲线(ROC)并计算曲线下面积(AUC)值。结果:数据集分析筛选出116个DEG。AKT1、MMP9在PPI网络中作为核心基因表达。ETS1和has⁃miR⁃124⁃3p可能通过分别靶向AKT1和RPS6KA5在调节网络中发挥作用。数据集验证显示MMP9(AUC=0.955)、ETS1(AUC=0.950)、RPS6KA5(AUC=0.945)能够较好的区分脓毒症和对照样本。AKT1识别脓毒症和对照组的能力一般(AUC=0.602)。has⁃miR⁃124⁃3p具有区分脓毒症休克组与对照组的显著诊断价值(AUC=0.889),也可用于区分脓毒症和对照组(AUC=0.833)。结论:AKT1、MMP9、靶向AKT1的ETS1和靶向RPS6KA5的has⁃miR⁃124⁃3p可能参与脓毒症中性粒细胞的病理生理过程,而且对脓毒症具有诊断价值。 Objective:Sepsis has been recognized to be a life⁃threatening organ dysfunction caused by the dysregulation of host response to infections.Our work aims to screen key biomarkers related to neutrophils in sepsis using bioinformatics analysis.Methods:The microarray datasets related to neutrophils in sepsis patients were downloaded from the Gene Expression Omnibus(GEO)database,and were used to screen differentially expressed genes(DEGs).Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysiswere performed.Protein⁃Protein Interaction(PPI)network was established based on the selected DEGs.Furthermore,our study predicted and established regulatory networks related to transcription factors and regulatory genes.In addition,miRWalk2.0 andother 4 databases were used to search for miRNA⁃DEG pairs.Finally,two datasets were selected to verify the screened genes,regulatory factor,and miRNA,to plot receiver operating characteristics(ROC)curves and compute the area under the curve(AUC)values.Results:116 DEGs were found through integrating 3 microarray data.AKT1,MMP9 were expressed as the hub genes.ETS1 and has⁃miR⁃124⁃3p might play a role in the regulatory network by targeting AKT1 and RPS6KA5.Dataset validation revealed that MMP9(AUC=0.955),ETS1(AUC=0.950),RPS6KA5(AUC=0.945)could clearly distinguish between sepsis and normal control samples.AKT1 had a moderateability to recognize sepsis and control samples(AUC=0.602).has⁃miR⁃124⁃3p had significant diagnostic value of distinguishing septic shock samples from normal controls(AUC=0.889),and was also useful for the differentiation between sepsis and normal controls(AUC=0.833).Conclusion:AKT1,MMP9,ETS1 targeting AKT1,and has⁃miR⁃124⁃3p targeting RPS6KA5 may have diagnostic value for patients with sepsis and septic shock and may play a role in neutrophils in sepsis.
作者 郑煜凯 黄灿霞 李伟超 李方义 邹子俊 何志捷 ZHENG Yu-kai;HUANG Can-xia;LI Wei-chao;LI Fang-yi;ZOU Zi-jun;HE Zhi-jie(Department of Intensive Care Unit,Sun Yat-sen Memorial Hospital,Sun Yat-sen University,Guangzhou,510120)
出处 《岭南急诊医学杂志》 2021年第6期571-574,共4页 Lingnan Journal of Emergency Medicine
关键词 脓毒症 中性粒细胞 MIRNA 生物信息学 sepsis neutrophil miRNA bioinformatics
  • 引文网络
  • 相关文献
;
使用帮助 返回顶部