Literature DB >> 16953560

In silico and in vivo approach to elucidate the inflammatory complexity of CD14-deficient mice.

Jose M Prince1, Ryan M Levy, John Bartels, Arie Baratt, John M Kane, Claudio Lagoa, Jonathan Rubin, Judy Day, Joyce Wei, Mitchell P Fink, Sanna M Goyert, Gilles Clermont, Timothy R Billiar, Yoram Vodovotz.   

Abstract

The inflammatory phenotype of genetically modified mice is complex, and the role of Gram-negative lipopolysaccharide (LPS) in acute inflammation induced by surgical cannulation trauma, alone or in combination with hemorrhage and resuscitation ("hemorrhagic shock"), is both complex and controversial. We sought to determine if a mathematical model of acute inflammation could elucidate both the phenotype of CD14-deficient (CD14(-/-)) mice--following LPS, cannulation, or hemorrhagic shock--and the role of LPS in trauma/hemorrhage-induced inflammation. A mathematical model of inflammation initially calibrated in wild-type (C57Bl/6) mice subjected to LPS, cannulation, and hemorrhagic shock was recalibrated in CD14(-/-) mice subjected to the same insults, yielding an ensemble of models that suggested specific differences at the cellular and molecular levels (for example, 43-fold lower activation of leukocytes by LPS). The CD14(-/-)-specific model ensemble could account for complex changes in inflammatory analytes in these mice following LPS treatment. Model prediction of similar organ damage in CD14(-/-) and wild-type mice subjected to cannulation alone or with hemorrhagic shock was verified in vivo (similar ALT levels). These studies suggest that LPS-CD14 responses do not cause inflammation in surgical trauma/hemorrhagic shock and demonstrate a novel use of combined in silico and in vivo methods to elucidate the complex inflammatory phenotype of genetically modified animals.

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Year:  2006        PMID: 16953560      PMCID: PMC1578765          DOI: 10.2119/2006-00012.Prince

Source DB:  PubMed          Journal:  Mol Med        ISSN: 1076-1551            Impact factor:   6.354


  53 in total

1.  Influence of CD14 on ligand interactions between lipopolysaccharide and its receptor complex.

Authors:  Sophie C Gangloff; Ulrich Zähringer; Catherine Blondin; Moncef Guenounou; Jack Silver; Sanna M Goyert
Journal:  J Immunol       Date:  2005-09-15       Impact factor: 5.422

2.  Hemorrhage induces an increase in serum TNF which is not associated with elevated levels of endotoxin.

Authors:  A Ayala; M M Perrin; D R Meldrum; W Ertel; I H Chaudry
Journal:  Cytokine       Date:  1990-05       Impact factor: 3.861

Review 3.  Sepsis research in the next millennium: concentrate on the software rather than the hardware.

Authors:  Thorsten Tjardes; Edmund Neugebauer
Journal:  Shock       Date:  2002-01       Impact factor: 3.454

4.  CD14 expression in injured patients correlates with outcome.

Authors:  M Heinzelmann; M Mercer-Jones; W G Cheadle; H C Polk
Journal:  Ann Surg       Date:  1996-07       Impact factor: 12.969

5.  In silico design of clinical trials: a method coming of age.

Authors:  Gilles Clermont; John Bartels; Rukmini Kumar; Greg Constantine; Yoram Vodovotz; Carson Chow
Journal:  Crit Care Med       Date:  2004-10       Impact factor: 7.598

6.  Hemorrhagic shock in endotoxin-resistant mice: improved survival unrelated to deficient production of tumor necrosis factor.

Authors:  E J DeMaria; J V Pellicane; R B Lee
Journal:  J Trauma       Date:  1993-11

7.  Intestinal permeability after severe trauma and hemorrhagic shock is increased without relation to septic complications.

Authors:  R M Roumen; T Hendriks; R A Wevers; J A Goris
Journal:  Arch Surg       Date:  1993-04

8.  Bacterial translocation in trauma patients.

Authors:  A B Peitzman; A O Udekwu; J Ochoa; S Smith
Journal:  J Trauma       Date:  1991-08

9.  A role of neutrophils in the down-regulation of IL-6 and CD14 following hemorrhagic shock.

Authors:  L Omert; K Tsukada; C Hierholzer; V A Lyons; T M Carlos; A B Peitzman; T R Billiar
Journal:  Shock       Date:  1998-06       Impact factor: 3.454

10.  The nuclear factor HMGB1 mediates hepatic injury after murine liver ischemia-reperfusion.

Authors:  Allan Tsung; Rohit Sahai; Hiroyuki Tanaka; Atsunori Nakao; Mitchell P Fink; Michael T Lotze; Huan Yang; Jianhua Li; Kevin J Tracey; David A Geller; Timothy R Billiar
Journal:  J Exp Med       Date:  2005-03-28       Impact factor: 14.307

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  39 in total

Review 1.  Translational potential of systems-based models of inflammation.

Authors:  P T Foteinou; S E Calvano; S F Lowry; I P Androulakis
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Authors:  Yoram Vodovotz; Gregory Constantine; James Faeder; Qi Mi; Jonathan Rubin; John Bartels; Joydeep Sarkar; Robert H Squires; David O Okonkwo; Jörg Gerlach; Ruben Zamora; Shirley Luckhart; Bard Ermentrout; Gary An
Journal:  Immunopharmacol Immunotoxicol       Date:  2010-06       Impact factor: 2.730

3.  Evidence-based modeling of critical illness: an initial consensus from the Society for Complexity in Acute Illness.

Authors:  Yoram Vodovotz; Gilles Clermont; C Anthony Hunt; Rolf Lefering; John Bartels; Ruediger Seydel; John Hotchkiss; Shlomo Ta'asan; Edmund Neugebauer; Gary An
Journal:  J Crit Care       Date:  2007-03       Impact factor: 3.425

Review 4.  Translational systems biology: introduction of an engineering approach to the pathophysiology of the burn patient.

Authors:  Gary An; James Faeder; Yoram Vodovotz
Journal:  J Burn Care Res       Date:  2008 Mar-Apr       Impact factor: 1.845

5.  A two-compartment mathematical model of endotoxin-induced inflammatory and physiologic alterations in swine.

Authors:  Gary Nieman; David Brown; Joydeep Sarkar; Brian Kubiak; Cordelia Ziraldo; Joyeeta Dutta-Moscato; Christopher Vieau; Derek Barclay; Louis Gatto; Kristopher Maier; Gregory Constantine; Timothy R Billiar; Ruben Zamora; Qi Mi; Steve Chang; Yoram Vodovotz
Journal:  Crit Care Med       Date:  2012-04       Impact factor: 7.598

6.  Translational systems biology of inflammation and healing.

Authors:  Yoram Vodovotz
Journal:  Wound Repair Regen       Date:  2010 Jan-Feb       Impact factor: 3.617

7.  A mathematical simulation of the inflammatory response to anthrax infection.

Authors:  Rukmini Kumar; Carson C Chow; John D Bartels; Gilles Clermont; Yoram Vodovotz
Journal:  Shock       Date:  2008-01       Impact factor: 3.454

Review 8.  Systems engineering medicine: engineering the inflammation response to infectious and traumatic challenges.

Authors:  Robert S Parker; Gilles Clermont
Journal:  J R Soc Interface       Date:  2010-02-10       Impact factor: 4.118

9.  A systems model for immune cell interactions unravels the mechanism of inflammation in human skin.

Authors:  Najl V Valeyev; Christian Hundhausen; Yoshinori Umezawa; Nikolay V Kotov; Gareth Williams; Alex Clop; Crysanthi Ainali; Christos Ouzounis; Sophia Tsoka; Frank O Nestle
Journal:  PLoS Comput Biol       Date:  2010-12-02       Impact factor: 4.475

10.  In silico simulation of corticosteroids effect on an NFkB- dependent physicochemical model of systemic inflammation.

Authors:  Panagiota T Foteinou; Steve E Calvano; Stephen F Lowry; Ioannis P Androulakis
Journal:  PLoS One       Date:  2009-03-10       Impact factor: 3.240

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