ITGB2 and ICAM3 predict increased survival of sepsis with decreased intercellular communication in cytotoxic CD8+ T cells

Sepsis is closely linked to immunity. Our research aimed to identify key genes associated with sepsis immunity utilizing single-cell RNA sequencing (scRNA-seq) data. This study obtained the GSE167363 and GSE54514 datasets from the Gene Expression Omnibus (GEO). The GSE167363 dataset was subjected to cluster analysis, cell proportion analysis, cell interaction analysis, and gene set enrichment analysis (GSEA). The differentially expressed genes (DEGs) of CD8+ T cells were intersected with the DEGs in the GSE54514 dataset, and key genes related to immunity in sepsis patients were identified through Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Finally, we validated the gene expression levels in a mouse model of sepsis caused by cecum ligation and puncture (CLP). Findings indicated that intercellular communication of Cytotoxic CD8+ T cells was reduced in the sepsis survivors compared to non-survivors. The expression of 3 down-regulated key DEGs (ITGB2, SELL and ICAM3) was negatively correlated with the abundance of CD8+ T cells. Moreover, Cytotoxic CD8+ T cells with low expression of ITGB2, SELL and ICAM3 were more adverse to the survival of sepsis as compared to those with high expression of the above genes. These genes may predict increased survival in sepsis by regulating intercellular communication in cytotoxic CD8+ T cells, suggesting that they are potential therapeutic targets for improving sepsis prognosis.

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Publication Details

Journal
Scientific Reports
Published
2025-04-12
DOI
https://doi.org/10.1038/s41598-025-93685-z
Citations
1
Primary Topic
Immune Response and Inflammation
Type
article
Field-Weighted Citation Impact
0.80

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article

ITGB2 and ICAM3 predict increased survival of sepsis with decreased intercellular communication in cytotoxic CD8+ T cells

Yijin Yu, Nianqiang Hu, Junran Xie, Yaping Zhang et al.
1 citations
Scientific Reports
Immune Response and Inflammation
0.80
article

ITGB2 and ICAM3 predict increased survival of sepsis with decreased intercellular communication in cytotoxic CD8+ T cells

Yijin Yu, Nianqiang Hu, Junran Xie, Yaping Zhang, Min Lei, Gaojian Wang
article en
1 citations

Abstract

Sepsis is closely linked to immunity. Our research aimed to identify key genes associated with sepsis immunity utilizing single-cell RNA sequencing (scRNA-seq) data. This study obtained the GSE167363 and GSE54514 datasets from the Gene Expression Omnibus (GEO). The GSE167363 dataset was subjected to cluster analysis, cell proportion analysis, cell interaction analysis, and gene set enrichment analysis (GSEA). The differentially expressed genes (DEGs) of CD8+ T cells were intersected with the DEGs in the GSE54514 dataset, and key genes related to immunity in sepsis patients were identified through Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Finally, we validated the gene expression levels in a mouse model of sepsis caused by cecum ligation and puncture (CLP). Findings indicated that intercellular communication of Cytotoxic CD8+ T cells was reduced in the sepsis survivors compared to non-survivors. The expression of 3 down-regulated key DEGs (ITGB2, SELL and ICAM3) was negatively correlated with the abundance of CD8+ T cells. Moreover, Cytotoxic CD8+ T cells with low expression of ITGB2, SELL and ICAM3 were more adverse to the survival of sepsis as compared to those with high expression of the above genes. These genes may predict increased survival in sepsis by regulating intercellular communication in cytotoxic CD8+ T cells, suggesting that they are potential therapeutic targets for improving sepsis prognosis.

Scientific ReportsVol. 15(1)
Sir Run Run Shaw Hospital (CN)
Science Research Foundation of Zhejiang Province
Zero hunger
Openalex Percentile: Top 29%
Immune Response and Inflammation
0.80
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ITGB2 and ICAM3 predict increased survival of sepsis with decreased intercellular communication in cytotoxic CD8+ T cells — Yijin Yu, Nianqiang Hu, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS