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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997678/ https://www.ncbi.nlm.nih.gov/pubmed/36911395 http://dx.doi.org/10.3389/fgene.2023.1132361 |
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author | Zhao, Shaobo Zhu, Kun Li, Xiaoyi Zhong, Xiaohui Zhao, Yanan Le, Zhenkai Liu, Zhicong Xiao, Yi Lai, Dengming Jiao, Na Shu, Qiang |
author_facet | Zhao, Shaobo Zhu, Kun Li, Xiaoyi Zhong, Xiaohui Zhao, Yanan Le, Zhenkai Liu, Zhicong Xiao, Yi Lai, Dengming Jiao, Na Shu, Qiang |
author_sort | Zhao, Shaobo |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9997678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99976782023-03-10 Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock Zhao, Shaobo Zhu, Kun Li, Xiaoyi Zhong, Xiaohui Zhao, Yanan Le, Zhenkai Liu, Zhicong Xiao, Yi Lai, Dengming Jiao, Na Shu, Qiang Front Genet Genetics 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. Frontiers Media S.A. 2023-02-23 /pmc/articles/PMC9997678/ /pubmed/36911395 http://dx.doi.org/10.3389/fgene.2023.1132361 Text en Copyright © 2023 Zhao, Zhu, Li, Zhong, Zhao, Le, Liu, Xiao, Lai, Jiao and Shu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Zhao, Shaobo Zhu, Kun Li, Xiaoyi Zhong, Xiaohui Zhao, Yanan Le, Zhenkai Liu, Zhicong Xiao, Yi Lai, Dengming Jiao, Na Shu, Qiang Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with 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 | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997678/ https://www.ncbi.nlm.nih.gov/pubmed/36911395 http://dx.doi.org/10.3389/fgene.2023.1132361 |
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