Literature DB >> 21392407

Gene expression in human sepsis: what have we learned?

James A Russell1.   

Abstract

In the previous issue of Critical Care, Tang and colleagues offer a very novel systematic review of 12 studies of gene expression in blood of human sepsis. The review concludes that there is no discernable transition from a pro- to an anti-inflammatory expression phenotype in blood in human sepsis. The authors found that upregulation of pathogen recognition receptors and signal transduction pathways was a consistent theme in expression studies. The review by Tang and colleagues has strengths, including defined screening criteria, broad literature review, strict inclusion criteria, and transparent methods for assessing strengths and weaknesses of studies. There are other issues to consider. First, one source of variation in gene expression studies in sepsis is variability in time from onset of sepsis to time of blood draw. Another source of variation is differences between tissues in gene expression at the same time in sepsis. Whole blood is a mélange of tissues (a variety of leukocytes); therefore, one assesses a weighted sum of all leukocyte classes. About half of the studies assessed peripheral mononuclear cells. A third great source of variable gene expression in sepsis is heterogeneity of causes and microbiology of sepsis. Only one study compared Gram-positive with Gram-negative sepsis. Only three studies confirmed microarray data with an independent measurement of expression. One interpretation is that two of three studies of early sepsis found increased expression of pro-inflammatory genes. In late sepsis, three of six studies found increased expression of pro-inflammatory genes whereas three of six studies found decreased expression of pro-inflammatory genes. The balance of pro- to anti-inflammatory gene expression is difficult to quantify. Sample size is highly variable in studies (n = 12 to 176). These limitations require a leap of faith to suggest that the paradigm of sepsis as a pro-inflammatory phenotype that shifts to an anti-inflammatory phenotype is flawed: the absence of evidence in expression studies is not the same as having well-conducted studies with clear negative evidence.
© 2011 BioMed Central Ltd

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Year:  2011        PMID: 21392407      PMCID: PMC3222025          DOI: 10.1186/cc9384

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


  17 in total

1.  Genome-level expression profiles in pediatric septic shock indicate a role for altered zinc homeostasis in poor outcome.

Authors:  Hector R Wong; Thomas P Shanley; Bhuvaneswari Sakthivel; Natalie Cvijanovich; Richard Lin; Geoffrey L Allen; Neal J Thomas; Allan Doctor; Meena Kalyanaraman; Nancy M Tofil; Scott Penfil; Marie Monaco; Mary Ann Tagavilla; Kelli Odoms; Katherine Dunsmore; Michael Barnes; Bruce J Aronow
Journal:  Physiol Genomics       Date:  2007-03-20       Impact factor: 3.107

2.  A network-based analysis of systemic inflammation in humans.

Authors:  Steve E Calvano; Wenzhong Xiao; Daniel R Richards; Ramon M Felciano; Henry V Baker; Raymond J Cho; Richard O Chen; Bernard H Brownstein; J Perren Cobb; S Kevin Tschoeke; Carol Miller-Graziano; Lyle L Moldawer; Michael N Mindrinos; Ronald W Davis; Ronald G Tompkins; Stephen F Lowry
Journal:  Nature       Date:  2005-08-31       Impact factor: 49.962

3.  Gene expression patterns in blood leukocytes discriminate patients with acute infections.

Authors:  Octavio Ramilo; Windy Allman; Wendy Chung; Asuncion Mejias; Monica Ardura; Casey Glaser; Knut M Wittkowski; Bernard Piqueras; Jacques Banchereau; A Karolina Palucka; Damien Chaussabel
Journal:  Blood       Date:  2006-11-14       Impact factor: 22.113

4.  Gene expression profiles of peripheral blood leukocytes after endotoxin challenge in humans.

Authors:  Shefali Talwar; Peter J Munson; Jennifer Barb; Carmen Fiuza; Anadel Pilar Cintron; Carolea Logun; Margaret Tropea; Sameena Khan; Debra Reda; James H Shelhamer; Robert L Danner; Anthony F Suffredini
Journal:  Physiol Genomics       Date:  2006-01-10       Impact factor: 3.107

5.  Gene-expression profiling of peripheral blood mononuclear cells in sepsis.

Authors:  Benjamin M P Tang; Anthony S McLean; Ian W Dawes; Stephen J Huang; Ruby C Y Lin
Journal:  Crit Care Med       Date:  2009-03       Impact factor: 7.598

6.  The use of gene-expression profiling to identify candidate genes in human sepsis.

Authors:  Benjamin M P Tang; Anthony S McLean; Ian W Dawes; Stephen J Huang; Ruby C Y Lin
Journal:  Am J Respir Crit Care Med       Date:  2007-06-15       Impact factor: 21.405

7.  Gene-expression profiling of gram-positive and gram-negative sepsis in critically ill patients.

Authors:  Benjamin M P Tang; Anthony S McLean; Ian W Dawes; Stephen J Huang; Mark J Cowley; Ruby C Y Lin
Journal:  Crit Care Med       Date:  2008-04       Impact factor: 7.598

8.  Gene profiling in human blood leucocytes during recovery from septic shock.

Authors:  Didier Payen; Anne-Claire Lukaszewicz; Ioulia Belikova; Valérie Faivre; Catherine Gelin; Stefan Russwurm; Jean-Marie Launay; Nicolas Sevenet
Journal:  Intensive Care Med       Date:  2008-04-05       Impact factor: 17.440

9.  Gene expression profiles differentiate between sterile SIRS and early sepsis.

Authors:  Steven B Johnson; Matthew Lissauer; Grant V Bochicchio; Richard Moore; Alan S Cross; Thomas M Scalea
Journal:  Ann Surg       Date:  2007-04       Impact factor: 12.969

Review 10.  Genome-wide transcription profiling of human sepsis: a systematic review.

Authors:  Benjamin M Tang; Stephen J Huang; Anthony S McLean
Journal:  Crit Care       Date:  2010-12-29       Impact factor: 9.097

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  6 in total

Review 1.  Clinical review: sepsis and septic shock--the potential of gene arrays.

Authors:  Hector R Wong
Journal:  Crit Care       Date:  2012-02-08       Impact factor: 9.097

Review 2.  Lysosome and Cytoskeleton Pathways Are Robustly Enriched in the Blood of Septic Patients: A Meta-Analysis of Transcriptomic Data.

Authors:  Jie Ma; Chuanxi Chen; Andreas S Barth; Chris Cheadle; Xiangdong Guan; Li Gao
Journal:  Mediators Inflamm       Date:  2015-04-30       Impact factor: 4.711

3.  Transcriptomic data from two primary cell models stimulating human monocytes suggest inhibition of oxidative phosphorylation and mitochondrial function by N. meningitidis which is partially up-regulated by IL-10.

Authors:  Unni Gopinathan; Reidun Øvstebø; Berit Sletbakk Brusletto; Ole Kristoffer Olstad; Peter Kierulf; Petter Brandtzaeg; Jens Petter Berg
Journal:  BMC Immunol       Date:  2017-10-27       Impact factor: 3.615

4.  Identification of sepsis subtypes in critically ill adults using gene expression profiling.

Authors:  David M Maslove; Benjamin M Tang; Anthony S McLean
Journal:  Crit Care       Date:  2012-10-04       Impact factor: 9.097

5.  Early and dynamic changes in gene expression in septic shock patients: a genome-wide approach.

Authors:  Marie-Angélique Cazalis; Alain Lepape; Fabienne Venet; Florence Frager; Bruno Mougin; Hélène Vallin; Malick Paye; Alexandre Pachot; Guillaume Monneret
Journal:  Intensive Care Med Exp       Date:  2014-08-20

6.  Patterns of gene expression in peripheral blood mononuclear cells and outcomes from patients with sepsis secondary to community acquired pneumonia.

Authors:  Patricia Severino; Eliézer Silva; Giovana Lotici Baggio-Zappia; Milena Karina Coló Brunialti; Laura Alejandra Nucci; Otelo Rigato; Ismael Dale Cotrim Guerreiro da Silva; Flávia Ribeiro Machado; Reinaldo Salomao
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

  6 in total

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