Identification of a novel gene signature for the prognosis of sepsis

被引:3
|
作者
Yang, Kai [1 ]
Gao, Lin [1 ]
Hao, HongXia [1 ]
Yu, Liang [1 ]
机构
[1] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Sepsis; Biomarker; Methylation; Weighted network; Correlation analysis; MORTALITY; PTPRO; INFLAMMATION; METHYLATION;
D O I
10.1016/j.compbiomed.2023.106958
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Sepsis is a life-threatening organ dysfunction caused by the host's dysfunctional response to infection, and its pathogenesis is still unclear. In view of the complex pathological process of sepsis, finding suitable biomarkers is helpful for the research and treatment of sepsis. This study determined the potential prognostic markers of sepsis by analyzing the molecular characteristics of patients with sepsis. During this study, bioinformatics analysis was conducted on the RNA sequencing data and DNA methylation sites from the public database to determine the prognostic genes related to sepsis, and a 9-gene prognostic signature for sepsis was constructed. According to the risk score, all sepsis samples were divided into two groups. Then, the prediction effect of the 9-gene signature was verified in two cohorts, and the association between these genes and sepsis was further revealed through immune infiltration analysis, gene set enrichment analysis and the relationship between clinical phenotype and survival rate. Our study provided a reliable prognostic signature for sepsis. The signature could predict the survival of patients with sepsis and serve as a predictor.
引用
收藏
页数:12
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