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Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury

Sepsis is a severe disease with high mortality, and liver injury is an independent risk factor for sepsis morbidity and mortality. We analyzed co-differentially expressed genes (co-DEGs) to explore potential biomarkers and therapeutic targets for sepsis-related liver injury. Three gene expression da...

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Autores principales: Zhou, Shangxun, Zhao, Wei, Li, Junjie, Huang, Yang, Yang, Jing, Wang, Qianmei, Xu, Yunyun, Duan, Chujun, Wang, Yutong, Yin, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587912/
https://www.ncbi.nlm.nih.gov/pubmed/36299685
http://dx.doi.org/10.1155/2022/1493744
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author Zhou, Shangxun
Zhao, Wei
Li, Junjie
Huang, Yang
Yang, Jing
Wang, Qianmei
Xu, Yunyun
Duan, Chujun
Wang, Yutong
Yin, Wen
author_facet Zhou, Shangxun
Zhao, Wei
Li, Junjie
Huang, Yang
Yang, Jing
Wang, Qianmei
Xu, Yunyun
Duan, Chujun
Wang, Yutong
Yin, Wen
author_sort Zhou, Shangxun
collection PubMed
description Sepsis is a severe disease with high mortality, and liver injury is an independent risk factor for sepsis morbidity and mortality. We analyzed co-differentially expressed genes (co-DEGs) to explore potential biomarkers and therapeutic targets for sepsis-related liver injury. Three gene expression datasets (GSE60088, GSE23767, and GSE71530) were downloaded from the Gene Expression Omnibus (GEO). DEGs were screened between sepsis and control samples using GEO2R. The association of these DEGs with infection and liver disease was analyzed by using the CTD database. GO functional analysis, KEGG pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed to elucidate the potential molecular mechanism of DEGs. DEGs of different tissues in GSE60088 were analyzed again to obtain specific markers of septic liver injury. Mouse model of sepsis was also established by cecal ligation and puncture (CLP), and the expression of specific markers in liver, lung, and kidney tissues was analyzed using Western blot. Here, we identified 21 DEGs in three datasets with 8 hub genes, all of which showed higher inference scores in liver diseases than bacterial infections. Among them, only TNFRSF1A had a liver-specific differential expression. TNFRSF1A was also confirmed to be specifically reduced in septic liver tissues in mice. Therefore, TNFRSF1A may serve as a potential biomarker for septic liver injury.
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spelling pubmed-95879122022-10-25 Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury Zhou, Shangxun Zhao, Wei Li, Junjie Huang, Yang Yang, Jing Wang, Qianmei Xu, Yunyun Duan, Chujun Wang, Yutong Yin, Wen Genet Res (Camb) Research Article Sepsis is a severe disease with high mortality, and liver injury is an independent risk factor for sepsis morbidity and mortality. We analyzed co-differentially expressed genes (co-DEGs) to explore potential biomarkers and therapeutic targets for sepsis-related liver injury. Three gene expression datasets (GSE60088, GSE23767, and GSE71530) were downloaded from the Gene Expression Omnibus (GEO). DEGs were screened between sepsis and control samples using GEO2R. The association of these DEGs with infection and liver disease was analyzed by using the CTD database. GO functional analysis, KEGG pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed to elucidate the potential molecular mechanism of DEGs. DEGs of different tissues in GSE60088 were analyzed again to obtain specific markers of septic liver injury. Mouse model of sepsis was also established by cecal ligation and puncture (CLP), and the expression of specific markers in liver, lung, and kidney tissues was analyzed using Western blot. Here, we identified 21 DEGs in three datasets with 8 hub genes, all of which showed higher inference scores in liver diseases than bacterial infections. Among them, only TNFRSF1A had a liver-specific differential expression. TNFRSF1A was also confirmed to be specifically reduced in septic liver tissues in mice. Therefore, TNFRSF1A may serve as a potential biomarker for septic liver injury. Hindawi 2022-10-15 /pmc/articles/PMC9587912/ /pubmed/36299685 http://dx.doi.org/10.1155/2022/1493744 Text en Copyright © 2022 Shangxun Zhou et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhou, Shangxun
Zhao, Wei
Li, Junjie
Huang, Yang
Yang, Jing
Wang, Qianmei
Xu, Yunyun
Duan, Chujun
Wang, Yutong
Yin, Wen
Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury
title Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury
title_full Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury
title_fullStr Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury
title_full_unstemmed Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury
title_short Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury
title_sort bioinformatics analysis identifies tnfrsf1a as a biomarker of liver injury in sepsis tnfrsf1a is a biomarker for septic liver injury
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587912/
https://www.ncbi.nlm.nih.gov/pubmed/36299685
http://dx.doi.org/10.1155/2022/1493744
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