岭南现代临床外科2024，Vol.24Issue(3)：157-161,5.DOI:10.3969/j.issn.1009-976X.2024.03.003
基于GEO数据库的脓毒症诱发慢加急性肝衰竭关键基因的生物信息学探究
Bioinformatic exploration of key genes in sepsis induced acute-on-chronic liver failure based on GEO database
摘要
Abstract
Objective The aim of the present study was to compare the Gene expression profiling of chronic acute Liver failure(ACLF)patients with and without sepsis,and identify the differential expressed genes(DEGs)in acute-on-chronic liver failure(ACLF)patients with sepsis.Methods The gene chip datasets were obtained from the Gene Expression Omnibus(GEO)database.Then the common differen-tial genes were carried out for later analyses according to the occurrence of sepsis in acute-on-chronic liver failure(ACLF)patients.The genes were analyzed by Gene ontology(GO),pathway enrichment analysis(KEGG,GSEA)for screening out key genes.Results A total of 883 DEGs were identified,with 371 up-regulated genes and 512 down-regulated genes compared with acute-on-chronic liver failure(ACLF)patients without sepsis.Further bioinformatics analysis revealed that the GO,KEGG,GSEA were mainly enriched in humoral immune response,complement activation,Natural killer cell mediated cytotoxicity,lymphocyte mediated immunity and Notch signaling pathway.Conclusion Bioinformatics analysis identified the differential genes of ACLF induced by sepsis,which lead to the occurrenceand development of diseases through humoral immunity response,complement activation and Notch signal pathway in immune response,and may be used as potential indicators for diagnosis and therapy of sepsis-related ACLF in the future.关键词
脓毒症/慢加急性肝衰竭(ACLF)/基因/生物信息学分析Key words
sepsis/acute-on-chronic liver failure/gene/bioinformatics analysis分类
医药卫生引用本文复制引用
易小玲,顾杨,李莉,余涛..基于GEO数据库的脓毒症诱发慢加急性肝衰竭关键基因的生物信息学探究[J].岭南现代临床外科,2024,24(3):157-161,5.基金项目
广州市科技计划项目(2024A03J1188) （2024A03J1188）
