Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock

Septic shock as a subset of sepsis, has a much higher mortality, while the mechanism is still elusive. This study was aimed at identifying core mechanisms associated with septic shock and its high mortality by investigating transcriptome data. We screened 72 septic-shock-associated genes (SSAGs) wit...

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Main Authors: Shaobo Zhao, Kun Zhu, Xiaoyi Li, Xiaohui Zhong, Yanan Zhao, Zhenkai Le, Zhicong Liu, Yi Xiao, Dengming Lai, Na Jiao, Qiang Shu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1132361/full
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author Shaobo Zhao
Kun Zhu
Xiaoyi Li
Xiaohui Zhong
Yanan Zhao
Zhenkai Le
Zhicong Liu
Yi Xiao
Dengming Lai
Dengming Lai
Na Jiao
Qiang Shu
author_facet Shaobo Zhao
Kun Zhu
Xiaoyi Li
Xiaohui Zhong
Yanan Zhao
Zhenkai Le
Zhicong Liu
Yi Xiao
Dengming Lai
Dengming Lai
Na Jiao
Qiang Shu
author_sort Shaobo Zhao
collection DOAJ
description Septic shock as a subset of sepsis, has a much higher mortality, while the mechanism is still elusive. This study was aimed at identifying core mechanisms associated with septic shock and its high mortality by investigating transcriptome data. We screened 72 septic-shock-associated genes (SSAGs) with differential expression between septic shock and sepsis in the discovery dataset. Further gene set enrichment analysis identified upregulated neutrophil activation and impaired T-cell activation in septic shock. Co-expression analysis revealed nine co-expressed gene modules. In addition, we determined twenty-one prognostic SSAGs using cox regression analysis in an independent dataset. Moreover, protein–protein interaction (PPI) network revealed two clusters. Among these neutrophil activation was enriched in the most positively-related modules and the cluster2 PPI network, while T-cell activation was enriched in both the most negatively-related module and one of the most positively-related modules as well as the cluster1 PPI network. ELANE, LCN2 and IFI44 were identified as hub genes with CytoHubba methods and semantic similarity analysis. Notably, ELANE was the only prognostic gene and was further validated in an external dataset. Blood neutrophil count was demonstrated to increase in septic shock and be a risky factor of prognosis based on clinical data. In conclusions, septic shock is associated with upregulated neutrophil activation and dysregulated T-cell activation. Three hub genes might have potentials as sensitive markers for the further translational research and ELANE could be a robust prognostic biomarker and effective therapeutic target.
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spelling doaj.art-428f22c87cc84ad8bdadbeff2c4a942d2023-02-23T06:48:48ZengFrontiers Media S.A.Frontiers in Genetics1664-80212023-02-011410.3389/fgene.2023.11323611132361Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shockShaobo Zhao0Kun Zhu1Xiaoyi Li2Xiaohui Zhong3Yanan Zhao4Zhenkai Le5Zhicong Liu6Yi Xiao7Dengming Lai8Dengming Lai9Na Jiao10Qiang Shu11Department of Pediatric Surgery, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaDepartment of Pathology, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaNational Clinical Research Center for Child Health, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaDepartment of Pediatric Surgery, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaDepartment of Pediatric Surgery, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaDepartment of Pediatric Surgery, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaDepartment of Pediatric Surgery, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaNational Clinical Research Center for Child Health, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaDepartment of Pediatric Surgery, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaNational Clinical Research Center for Child Health, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaNational Clinical Research Center for Child Health, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaDepartment of Pediatric Surgery, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaSeptic shock as a subset of sepsis, has a much higher mortality, while the mechanism is still elusive. This study was aimed at identifying core mechanisms associated with septic shock and its high mortality by investigating transcriptome data. We screened 72 septic-shock-associated genes (SSAGs) with differential expression between septic shock and sepsis in the discovery dataset. Further gene set enrichment analysis identified upregulated neutrophil activation and impaired T-cell activation in septic shock. Co-expression analysis revealed nine co-expressed gene modules. In addition, we determined twenty-one prognostic SSAGs using cox regression analysis in an independent dataset. Moreover, protein–protein interaction (PPI) network revealed two clusters. Among these neutrophil activation was enriched in the most positively-related modules and the cluster2 PPI network, while T-cell activation was enriched in both the most negatively-related module and one of the most positively-related modules as well as the cluster1 PPI network. ELANE, LCN2 and IFI44 were identified as hub genes with CytoHubba methods and semantic similarity analysis. Notably, ELANE was the only prognostic gene and was further validated in an external dataset. Blood neutrophil count was demonstrated to increase in septic shock and be a risky factor of prognosis based on clinical data. In conclusions, septic shock is associated with upregulated neutrophil activation and dysregulated T-cell activation. Three hub genes might have potentials as sensitive markers for the further translational research and ELANE could be a robust prognostic biomarker and effective therapeutic target.https://www.frontiersin.org/articles/10.3389/fgene.2023.1132361/fullbioinformaticsneutrophilELANET cellseptic shock
spellingShingle Shaobo Zhao
Kun Zhu
Xiaoyi Li
Xiaohui Zhong
Yanan Zhao
Zhenkai Le
Zhicong Liu
Yi Xiao
Dengming Lai
Dengming Lai
Na Jiao
Qiang Shu
Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock
Frontiers in Genetics
bioinformatics
neutrophil
ELANE
T cell
septic shock
title Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock
title_full Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock
title_fullStr Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock
title_full_unstemmed Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock
title_short Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock
title_sort co expression and interaction network analysis reveals dysregulated neutrophil and t cell activation as the core mechanism associated with septic shock
topic bioinformatics
neutrophil
ELANE
T cell
septic shock
url https://www.frontiersin.org/articles/10.3389/fgene.2023.1132361/full
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