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Genome-wide transcription profiling of human sepsis: a systematic review

INTRODUCTION: Sepsis is thought to be an abnormal inflammatory response to infection. However, most clinical trials of drugs that modulate the inflammatory response of sepsis have been unsuccessful. Emerging genomic evidence shows that the host response in sepsis does not conform to a simple hyper-i...

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Autores principales: Tang, Benjamin M, Huang, Stephen J, McLean, Anthony S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3219990/
https://www.ncbi.nlm.nih.gov/pubmed/21190579
http://dx.doi.org/10.1186/cc9392
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author Tang, Benjamin M
Huang, Stephen J
McLean, Anthony S
author_facet Tang, Benjamin M
Huang, Stephen J
McLean, Anthony S
author_sort Tang, Benjamin M
collection PubMed
description INTRODUCTION: Sepsis is thought to be an abnormal inflammatory response to infection. However, most clinical trials of drugs that modulate the inflammatory response of sepsis have been unsuccessful. Emerging genomic evidence shows that the host response in sepsis does not conform to a simple hyper-inflammatory/hypo-inflammatory model. We, therefore, synthesized current genomic studies that examined the host response of circulating leukocytes to human sepsis. METHODS: Electronic searches were performed in Medline and Embase (1987 to October 2010), supplemented by additional searches in multiple microarray data repositories. We included studies that (1) used microarray, (2) were performed in humans and (3) investigated the host response mediated by circulating leukocytes. RESULTS: We identified 12 cohorts consisting of 784 individuals providing genome-wide expression data in early and late sepsis. Sepsis elicited an immediate activation of pathogen recognition receptors, accompanied by an increase in the activities of signal transduction cascades. These changes were consistent across most cohorts. However, changes in inflammation related genes were highly variable. Established inflammatory markers, such as tumour necrosis factor-α (TNF-α), interleukin (IL)-1 or interleukin-10, did not show any consistent pattern in their gene-expression across cohorts. The finding remains the same even after the cohorts were stratified by timing (early vs. late sepsis), patient groups (paediatric vs. adult patients) or settings (clinical sepsis vs. endotoxemia model). Neither a distinctive pro/anti-inflammatory phase nor a clear transition from a pro-inflammatory to anti-inflammatory phase could be observed during sepsis. CONCLUSIONS: Sepsis related inflammatory changes are highly variable on a transcriptional level. We did not find strong genomic evidence that supports the classic two phase model of sepsis.
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spelling pubmed-32199902011-11-18 Genome-wide transcription profiling of human sepsis: a systematic review Tang, Benjamin M Huang, Stephen J McLean, Anthony S Crit Care Research INTRODUCTION: Sepsis is thought to be an abnormal inflammatory response to infection. However, most clinical trials of drugs that modulate the inflammatory response of sepsis have been unsuccessful. Emerging genomic evidence shows that the host response in sepsis does not conform to a simple hyper-inflammatory/hypo-inflammatory model. We, therefore, synthesized current genomic studies that examined the host response of circulating leukocytes to human sepsis. METHODS: Electronic searches were performed in Medline and Embase (1987 to October 2010), supplemented by additional searches in multiple microarray data repositories. We included studies that (1) used microarray, (2) were performed in humans and (3) investigated the host response mediated by circulating leukocytes. RESULTS: We identified 12 cohorts consisting of 784 individuals providing genome-wide expression data in early and late sepsis. Sepsis elicited an immediate activation of pathogen recognition receptors, accompanied by an increase in the activities of signal transduction cascades. These changes were consistent across most cohorts. However, changes in inflammation related genes were highly variable. Established inflammatory markers, such as tumour necrosis factor-α (TNF-α), interleukin (IL)-1 or interleukin-10, did not show any consistent pattern in their gene-expression across cohorts. The finding remains the same even after the cohorts were stratified by timing (early vs. late sepsis), patient groups (paediatric vs. adult patients) or settings (clinical sepsis vs. endotoxemia model). Neither a distinctive pro/anti-inflammatory phase nor a clear transition from a pro-inflammatory to anti-inflammatory phase could be observed during sepsis. CONCLUSIONS: Sepsis related inflammatory changes are highly variable on a transcriptional level. We did not find strong genomic evidence that supports the classic two phase model of sepsis. BioMed Central 2010 2010-12-29 /pmc/articles/PMC3219990/ /pubmed/21190579 http://dx.doi.org/10.1186/cc9392 Text en Copyright ©2010 Tang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Tang, Benjamin M
Huang, Stephen J
McLean, Anthony S
Genome-wide transcription profiling of human sepsis: a systematic review
title Genome-wide transcription profiling of human sepsis: a systematic review
title_full Genome-wide transcription profiling of human sepsis: a systematic review
title_fullStr Genome-wide transcription profiling of human sepsis: a systematic review
title_full_unstemmed Genome-wide transcription profiling of human sepsis: a systematic review
title_short Genome-wide transcription profiling of human sepsis: a systematic review
title_sort genome-wide transcription profiling of human sepsis: a systematic review
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3219990/
https://www.ncbi.nlm.nih.gov/pubmed/21190579
http://dx.doi.org/10.1186/cc9392
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