DOI: 10.57760/sciencedb.j00217.03074
title: Screening and bioinformatics analysis of characteristics genes of sepsis and aging based on GEO database
title: 基于GEO数据库筛选脓毒症与衰老的特征基因及生物信息学分析

description: Objective To screen the shared genes of sepsis and senescence by combining gene expression database (GEO) and machine learning algorithms, and to conduct bioinformatics analysis to understand the comorbid mechanism of sepsis and aging.Methods Sepsis-related genes were obtained from CTD, DisGeNet, and GeneCards, and aging-related genes were obtained from Aging Atlas database. GSE13904, GSE28705, and GSE8121 sepsis microarray data and aging dataset GSE173608 were obtained from the GEO database; Webstalt database was used for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were performed by CNSknowall, and immune cell infiltration analysis of the expression matrix of shared genes was performed using the CIBERSORTX platform. Finally, the BIDOS database was used to analyze the correlation between the expression level of characteristic genes and the survival time and APACHEII score of sepsis patients.Results There were 151 genes shared between sepsis and senescence, and the characteristic genes of TXN, CCL4, IL7 and SIRT1 were the common diagnostic markers of sepsis and senescence. The main gene sets that were up-regulated by the shared genes included cAMP signaling pathway, chemokine signaling pathway, PD-1 expression and PD-1 cancer checkpoint pathway, phospholipase D signaling pathway, PI3K-Akt signaling pathway, prolactin signaling pathway and other signaling pathways. Immune filtration analysis showed that the high expression of CCL4 was positively correlated with the prognosis of sepsis, and CCL4 was significantly positively correlated with activated natural killer cells. TXN was significantly positively correlated with resting dendritic cells.Conclusion CCL4, TXN, IL7 and SIRT1 can be used as diagnostic biomarkers for sepsis and aging, and are closely related to the pathophysiological process of sepsis and aging.
description: Objective To screen the shared genes of sepsis and senescence by combining gene expression database (GEO) and machine learning algorithms, and to conduct bioinformatics analysis to understand the comorbid mechanism of sepsis and aging.Methods Sepsis-related genes were obtained from CTD, DisGeNet, and GeneCards, and aging-related genes were obtained from Aging Atlas database. GSE13904, GSE28705, and GSE8121 sepsis microarray data and aging dataset GSE173608 were obtained from the GEO database; Webstalt database was used for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were performed by CNSknowall, and immune cell infiltration analysis of the expression matrix of shared genes was performed using the CIBERSORTX platform. Finally, the BIDOS database was used to analyze the correlation between the expression level of characteristic genes and the survival time and APACHEII score of sepsis patients.Results There were 151 genes shared between sepsis and senescence, and the characteristic genes of TXN, CCL4, IL7 and SIRT1 were the common diagnostic markers of sepsis and senescence. The main gene sets that were up-regulated by the shared genes included cAMP signaling pathway, chemokine signaling pathway, PD-1 expression and PD-1 cancer checkpoint pathway, phospholipase D signaling pathway, PI3K-Akt signaling pathway, prolactin signaling pathway and other signaling pathways. Immune filtration analysis showed that the high expression of CCL4 was positively correlated with the prognosis of sepsis, and CCL4 was significantly positively correlated with activated natural killer cells. TXN was significantly positively correlated with resting dendritic cells.Conclusion CCL4, TXN, IL7 and SIRT1 can be used as diagnostic biomarkers for sepsis and aging, and are closely related to the pathophysiological process of sepsis and aging.