Literature DB >> 11251034

Effects of genomic polymorphisms on the course of sepsis: is there a concept for gene therapy?

F Stüber1.   

Abstract

Sepsis and its sequelae are still a major cause of morbidity and mortality on today's intensive care units. The evidence that endogenous mediators actually mediate the individual's response to infection has led to various approaches to assess the individual's contribution to the course of the disease. The role of an individual's genetic background and predisposition for the extent of inflammatory responses is determined by variabilities of genes encoding endogenous mediators that constitute the pathways of inflammation. Primary responses in inflammation are mediated by proinflammatory cytokines such as tumor necrosis factor and interleukin 1. Conversely, anti-inflammatory mediators are released and may induce a state of immunosuppression in sepsis. Pro- and anti-inflammatory responses contribute to the outcome of patients with systemic inflammation and sepsis. Therefore, all genes encoding proteins involved in the transduction of inflammatory processes are candidate genes to determine the human genetic background that is responsible for interindividual differences in systemic inflammatory responses to injury. The genetically determined capacity of cytokine production and release, heat shock protein expression, nitric oxide synthase activity, gene polymorphisms of coagulation factors or factors of the innate immune system-like defensins, and other genes involved in inflammation may contribute to a wide range of clinical manifestations of an inflammatory disease. Genomic information may be used to identify groups of patients with a high risk of developing severe sepsis and multiple organ dysfunction, and determining which patients will benefit from antimediator strategies because of their genetic determination to high cytokine release in the inflammatory response will be the subject of future trials.

Entities:  

Mesh:

Year:  2001        PMID: 11251034

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  12 in total

Review 1.  The immunopathogenesis of meningococcal disease.

Authors:  A J Kvalsvig; D J Unsworth
Journal:  J Clin Pathol       Date:  2003-06       Impact factor: 3.411

2.  Interleukin-10-1082 promoter polymorphism in association with cytokine production and sepsis susceptibility.

Authors:  Spaska A Stanilova; Lyuba D Miteva; Zhivko T Karakolev; Chavdar S Stefanov
Journal:  Intensive Care Med       Date:  2006-01-25       Impact factor: 17.440

3.  Protein C -1641A/-1654C haplotype is associated with organ dysfunction and the fatal outcome of severe sepsis in Chinese Han population.

Authors:  Qi Xing Chen; Shui Jing Wu; Hai Hong Wang; Chen Lv; Bao Li Cheng; Guo Hao Xie; Xiang Ming Fang
Journal:  Hum Genet       Date:  2008-02-05       Impact factor: 4.132

Review 4.  [Sepsis. Update on pathophysiology, diagnostics and therapy].

Authors:  M Bauer; F Brunkhorst; T Welte; H Gerlach; K Reinhart
Journal:  Anaesthesist       Date:  2006-08       Impact factor: 1.041

5.  Contact-free monitoring of circulation and perfusion dynamics based on the analysis of thermal imagery.

Authors:  Carina Barbosa Pereira; Michael Czaplik; Nikolai Blanik; Rolf Rossaint; Vladimir Blazek; Steffen Leonhardt
Journal:  Biomed Opt Express       Date:  2014-03-05       Impact factor: 3.732

6.  TNF-α-308G/A polymorphism associated with TNF-α protein expression in patients with diabetic nephropathy.

Authors:  Yan Peng; Liu-Juan Li
Journal:  Int J Clin Exp Pathol       Date:  2015-03-01

7.  Association of gene polymorphisms of FV, FII, MTHFR, SERPINE1, CTLA4, IL10, and TNFalpha with pre-eclampsia in Chinese women.

Authors:  Lu Zhou; Li Cheng; Yun He; Yin Gu; Yejun Wang; Chenhong Wang
Journal:  Inflamm Res       Date:  2016-05-27       Impact factor: 4.575

8.  Functional relevance of IL-10 promoter polymorphisms for sepsis development.

Authors:  Spaska A Stanilova
Journal:  Crit Care       Date:  2010-02-15       Impact factor: 9.097

Review 9.  Sepsis: from bench to bedside.

Authors:  Eliézer Silva; Rogério Da Hora Passos; Maurício Beller Ferri; Luiz Francisco Poli de Figueiredo
Journal:  Clinics (Sao Paulo)       Date:  2008-02       Impact factor: 2.365

10.  Using data-driven rules to predict mortality in severe community acquired pneumonia.

Authors:  Chuang Wu; Roni Rosenfeld; Gilles Clermont
Journal:  PLoS One       Date:  2014-04-03       Impact factor: 3.240

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