SOX18-associated gene signature predicts sepsis outcome

被引:0
|
作者
Feng, Anlin [1 ,3 ,4 ]
Ma, Wenli [1 ,3 ,4 ]
Faraj, Reem [1 ,2 ]
Black, Stephen M. [1 ,3 ,4 ]
Wang, Ting [1 ,3 ,4 ]
机构
[1] Florida Int Univ, Ctr Translat Sci, 11350 SW Village Pkwy, Port St Lucie, FL 34987 USA
[2] Univ Arizona, Grad Program Clin & Translat Sci, Phoenix, AZ 85004 USA
[3] Florida Int Univ, Robert Stempel Coll Publ Hlth & Social Work, Environm Hlth Sci, Miami, FL 33199 USA
[4] Florida Int Univ, Howard Wertheim Coll Med, Cellular Biol & Pharmacol, Miami, FL 33199 USA
来源
基金
美国国家卫生研究院;
关键词
SOX18; sepsis survival; gene signature; EXPRESSION; PATHS;
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objectives: Sepsis is a critical medical condition associated with an high mortality. Currently, there are no reliable diagnostic or prognostic biomarkers to evaluate sepsis outcomes. SRY (sex-determining region on the Y chromosome)-box transcription factor 18 (SOX18) is an endothelial barrier protective protein, and a decreased level of SOX18 expression is involved in disruption of human endothelial cell barrier integrity. Over-expression of SOX18 attenuates the bacterial lipopolysaccharide (LPS)-mediated disruption of the vascular barrier and is associated with favorable prognosis. The utility of SOX18-related genes as biomarkers in sepsis is uncertain. Methods: Transcriptomic analysis was used to profile the PBMC samples of patients with sepsis across two Gene Expression Omnibus (GEO) datasets with survival data. An 84-gene signature was derived from discovery datasets that correlated with SOX18 gene expression and sepsis survival. Results: Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed Th1 and Th2 cell differentiation, Cytokine-cytokine receptor interaction, and T cell receptor signaling pathways as the most significantly enriched KEGG pathways among 84 genes. A severity score based on the gene expression of 84 genes was allocated to each patient. A notable increase was detected in sepsis patients compared to healthy controls in both discovery and validation cohorts. SOX18-associated gene signature discriminated severe cases from mild cases and performed significantly better than both random 84-gene sets from whole genomes or sepsis survival-related genes. Furthermore, we obtained an 18-gene signature from screening these 84 genes in a LASSO model, which performed better in both discovery and validation cohorts. Conclusions: Data support SOX18-associated gene signatures as a prognostic biomarker for sepsis.
引用
收藏
页码:1807 / 1817
页数:11
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