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- Fabienne Venet, Guillaume Monneret, Alexandre Pachot, Fanny Turrel-Davin, Cécile Monnin, Véronique Barbalat, Elisabeth Cerrato, and Christine Alberti-Segui.
- BioMérieux, Joint Unit Hospices Civils de Lyon, Hôpital Edouard Herriot, 69003 Lyon, France.
- Crit Care. 2011 Jan 1;15(5):R252.
IntroductionIt is now well accepted that sepsis is associated with the development of a pronounced immunosuppressive state, characterized by severe immune alterations (e.g. reduced proliferative capacity, endotoxin tolerance, apoptosis) participating in increased mortality and susceptibility to nosocomial infections. Efforts are currently aimed at restoring a functional immune response in septic patients. Successful therapy depends on the identification of appropriate immunostimulatory drugs and on the development of suitable biomarkers that could be used to stratify patients and to follow response to treatment.MethodsIn this study, we evaluated the ex vivo effect of recombinant interferon gamma (rIFN-γ) in restoring monocyte functionality (endotoxin-induced Tumor Necrosis Factor-α production) in a two-hit model of endotoxin tolerance (ET) with peripheral blood mononuclear cells from healthy volunteers and in whole blood of septic shock patients. Importantly, we used quantitative-reverse transcription polymerase-chain reaction to monitor the effect of rIFN-γ on the expression of seven genes known to participate in ET (TNF-α, IL-10, HLA-DRA, CIITA, IRAK-M, ABIN-3 and LY64).ResultsExpression analysis of those genes confirmed the presence of an immunosuppression state and the ex vivo restoration of immune functions by rIFN-γ. We show for the first time that rIFN-γ is able to bypass, at the mRNA level, the effect of negative regulators of the LPS signalling pathway such as IRAK-M, ABIN-3 and LY64.ConclusionsOverall, mRNA expressions of a panel of genes could represent promising candidates for the ex vivo evaluation of rIFN-γ effect on monocyte functionality. This ex vivo translational research study demonstrates the potential of a mRNA-based approach to successfully monitor drug efficacy.
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