Host response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.

Respiratory bacterial pathogens are one of the leading causes of infectious death in the world and a major health concern complicated by the rise of multi-antibiotic resistant strains. Therapeutics that modulate host genes essential for pathogen infectivity could potentially avoid multi-drug resista...

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Autores principales:	Steven B Smith, Michal Magid-Slav, James R Brown
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5181d52a84ca41aebdde0f43290dfbfa
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spelling	oai:doaj.org-article:5181d52a84ca41aebdde0f43290dfbfa2021-11-18T08:53:28ZHost response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.1932-620310.1371/journal.pone.0075607https://doaj.org/article/5181d52a84ca41aebdde0f43290dfbfa2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24086587/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Respiratory bacterial pathogens are one of the leading causes of infectious death in the world and a major health concern complicated by the rise of multi-antibiotic resistant strains. Therapeutics that modulate host genes essential for pathogen infectivity could potentially avoid multi-drug resistance and provide a wider scope of treatment options. Here, we perform an integrative analysis of published human gene expression data generated under challenges from the gram-negative and Gram-positive bacteria pathogens, Pseudomonas aeruginosa and Streptococcus pneumoniae, respectively. We applied a previously described differential gene and pathway enrichment analysis pipeline to publicly available host mRNA GEO datasets resulting from exposure to bacterial infection. We found 72 canonical human pathways common between four GEO datasets, representing P. aeruginosa and S. pneumoniae. Although the majority of these pathways are known to be involved with immune response, we found several interesting new interactions such as the SUMO1 pathway that might have a role in bacterial infections. Furthermore, 36 host-bacterial pathways were also shared with our previous results for respiratory virus host gene expression. Based on our pathway analysis we propose several drug-repurposing opportunities supported by the literature.Steven B SmithMichal Magid-SlavJames R BrownPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 9, p e75607 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Steven B Smith Michal Magid-Slav James R Brown Host response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.
description	Respiratory bacterial pathogens are one of the leading causes of infectious death in the world and a major health concern complicated by the rise of multi-antibiotic resistant strains. Therapeutics that modulate host genes essential for pathogen infectivity could potentially avoid multi-drug resistance and provide a wider scope of treatment options. Here, we perform an integrative analysis of published human gene expression data generated under challenges from the gram-negative and Gram-positive bacteria pathogens, Pseudomonas aeruginosa and Streptococcus pneumoniae, respectively. We applied a previously described differential gene and pathway enrichment analysis pipeline to publicly available host mRNA GEO datasets resulting from exposure to bacterial infection. We found 72 canonical human pathways common between four GEO datasets, representing P. aeruginosa and S. pneumoniae. Although the majority of these pathways are known to be involved with immune response, we found several interesting new interactions such as the SUMO1 pathway that might have a role in bacterial infections. Furthermore, 36 host-bacterial pathways were also shared with our previous results for respiratory virus host gene expression. Based on our pathway analysis we propose several drug-repurposing opportunities supported by the literature.
format	article
author	Steven B Smith Michal Magid-Slav James R Brown
author_facet	Steven B Smith Michal Magid-Slav James R Brown
author_sort	Steven B Smith
title	Host response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.
title_short	Host response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.
title_full	Host response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.
title_fullStr	Host response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.
title_full_unstemmed	Host response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.
title_sort	host response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/5181d52a84ca41aebdde0f43290dfbfa
work_keys_str_mv	AT stevenbsmith hostresponsetorespiratorybacterialpathogensasidentifiedbyintegratedanalysisofhumangeneexpressiondata AT michalmagidslav hostresponsetorespiratorybacterialpathogensasidentifiedbyintegratedanalysisofhumangeneexpressiondata AT jamesrbrown hostresponsetorespiratorybacterialpathogensasidentifiedbyintegratedanalysisofhumangeneexpressiondata
_version_	1718421199999991808

Host response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression data.

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