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Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during Sepsis

Sepsis is a life-threatening disease induced by a systemic inflammatory response, which leads to organ dysfunction and mortality. In sepsis, the host immune response is depressed and unable to cope with infection; no drug is currently available to treat this. The lungs are frequently the starting po...

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Autores principales: Ahmad, Shaniya, Singh, Prithvi, Sharma, Archana, Arora, Shweta, Shriwash, Nitesh, Rahmani, Arshad Husain, Almatroodi, Saleh A., Manda, Kailash, Dohare, Ravins, Syed, Mansoor Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947644/
https://www.ncbi.nlm.nih.gov/pubmed/31817302
http://dx.doi.org/10.3390/genes10121005
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author Ahmad, Shaniya
Singh, Prithvi
Sharma, Archana
Arora, Shweta
Shriwash, Nitesh
Rahmani, Arshad Husain
Almatroodi, Saleh A.
Manda, Kailash
Dohare, Ravins
Syed, Mansoor Ali
author_facet Ahmad, Shaniya
Singh, Prithvi
Sharma, Archana
Arora, Shweta
Shriwash, Nitesh
Rahmani, Arshad Husain
Almatroodi, Saleh A.
Manda, Kailash
Dohare, Ravins
Syed, Mansoor Ali
author_sort Ahmad, Shaniya
collection PubMed
description Sepsis is a life-threatening disease induced by a systemic inflammatory response, which leads to organ dysfunction and mortality. In sepsis, the host immune response is depressed and unable to cope with infection; no drug is currently available to treat this. The lungs are frequently the starting point for sepsis. This study aimed to identify potential genes for diagnostics and therapeutic purposes in sepsis by a comprehensive bioinformatics analysis. Our criteria are to unravel sepsis-associated signature genes from gene expression datasets. Differentially expressed genes (DEGs) were identified from samples of sepsis patients using a meta-analysis and then further subjected to functional enrichment and protein‒protein interaction (PPI) network analysis for examining their potential functions. Finally, the expression of the topmost upregulated genes (ARG1, IL1R2, ELANE, MMP9) was quantified by reverse transcriptase-PCR (RT-PCR), and myeloperoxidase (MPO) expression was confirmed by immunohistochemistry (IHC) staining in the lungs of a well-established sepsis mouse model. We found that all the four genes were upregulated in semiquantitative RT-PCR studies; however, MMP9 showed a nonsignificant increase in expression. MPO staining showed strong immunoreactivity in sepsis as compared to the control. This study demonstrates the role of significant and widespread immune activation (IL1R2, MMP9), along with oxidative stress (ARG1) and the recruitment of neutrophils, in sepsis (ELANE, MPO).
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spelling pubmed-69476442020-01-13 Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during Sepsis Ahmad, Shaniya Singh, Prithvi Sharma, Archana Arora, Shweta Shriwash, Nitesh Rahmani, Arshad Husain Almatroodi, Saleh A. Manda, Kailash Dohare, Ravins Syed, Mansoor Ali Genes (Basel) Article Sepsis is a life-threatening disease induced by a systemic inflammatory response, which leads to organ dysfunction and mortality. In sepsis, the host immune response is depressed and unable to cope with infection; no drug is currently available to treat this. The lungs are frequently the starting point for sepsis. This study aimed to identify potential genes for diagnostics and therapeutic purposes in sepsis by a comprehensive bioinformatics analysis. Our criteria are to unravel sepsis-associated signature genes from gene expression datasets. Differentially expressed genes (DEGs) were identified from samples of sepsis patients using a meta-analysis and then further subjected to functional enrichment and protein‒protein interaction (PPI) network analysis for examining their potential functions. Finally, the expression of the topmost upregulated genes (ARG1, IL1R2, ELANE, MMP9) was quantified by reverse transcriptase-PCR (RT-PCR), and myeloperoxidase (MPO) expression was confirmed by immunohistochemistry (IHC) staining in the lungs of a well-established sepsis mouse model. We found that all the four genes were upregulated in semiquantitative RT-PCR studies; however, MMP9 showed a nonsignificant increase in expression. MPO staining showed strong immunoreactivity in sepsis as compared to the control. This study demonstrates the role of significant and widespread immune activation (IL1R2, MMP9), along with oxidative stress (ARG1) and the recruitment of neutrophils, in sepsis (ELANE, MPO). MDPI 2019-12-04 /pmc/articles/PMC6947644/ /pubmed/31817302 http://dx.doi.org/10.3390/genes10121005 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ahmad, Shaniya
Singh, Prithvi
Sharma, Archana
Arora, Shweta
Shriwash, Nitesh
Rahmani, Arshad Husain
Almatroodi, Saleh A.
Manda, Kailash
Dohare, Ravins
Syed, Mansoor Ali
Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during Sepsis
title Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during Sepsis
title_full Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during Sepsis
title_fullStr Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during Sepsis
title_full_unstemmed Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during Sepsis
title_short Transcriptome Meta-Analysis Deciphers a Dysregulation in Immune Response-Associated Gene Signatures during Sepsis
title_sort transcriptome meta-analysis deciphers a dysregulation in immune response-associated gene signatures during sepsis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947644/
https://www.ncbi.nlm.nih.gov/pubmed/31817302
http://dx.doi.org/10.3390/genes10121005
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