中南医学科学杂志2023，Vol.51Issue(6)：839-844,6.DOI:10.15972/j.cnki.43-1509/r.2023.06.009
基于生物信息学筛选脓毒症中性粒细胞活化的关键基因
Screening key genes of neutrophil activation in sepsis based on biological information
摘要
Abstract
Aim To screen the key genes of neutrophil activation in sepsis based on bioinformatics.Methods Four adult sepsis microarray datasets(GSE69528,GSE28750,GSE57065,GSE95233)were downloaded from GEO database and screened for differentially expressed genes(DEG).Gene ontology(GO)was used to analyze DEG,STRING database was used to construct protein-protein interaction network,Cytoscape software was used to extract key genes,CIBERSORT algorithm was used to estimate immune cell expression levels,and ROC curve was used to evaluate the diagnostic value of key genes in sepsis patients.The child sepsis related chip dataset(GSE66099)was used for verifica-tion.Results From the four adult sepsis datasets,299 overlapping DEGs were screened,with 112 up-regulated genes and 187 down-regulated genes.GO is mainly enriched in neutrophil activation,neutrophil degranulation,peptid-yase regulatory activity,glycosaminoglycan binding,special particles,vesicular cavity,etc.10 key genes of neutrophil activation in sepsis were screened,and their expression levels were all up-regulated in sepsis.The areas under ROC curve were all greater than 0.7,which showed good diagnostic value.The validation results of the pediatric sepsis data-set were consistent with those of the adult sepsis dataset.Conclusion Based on bioinformatics,10 key genes related to neutrophil activation in sepsis were selected,which provided potential new targets for early diagnosis,prognosis and treatment of sepsis.关键词
脓毒症/中性粒细胞/差异表达基因/蛋白互作网络/功能富集分析/关键基因Key words
sepsis/neutrophil/differentially expressed gene/protein-protein interaction network/functional enrichment analysis/key genes分类
临床医学引用本文复制引用
陆洲成,钟树武,言彩红,张群峰..基于生物信息学筛选脓毒症中性粒细胞活化的关键基因[J].中南医学科学杂志,2023,51(6):839-844,6.基金项目
中国红十字基金会医学赋能公益专项基金(CRCF-YXFN-202201087) （CRCF-YXFN-202201087）
