Literature DB >> 15321710

The dynamics of acute inflammation.

Rukmini Kumar1, Gilles Clermont, Yoram Vodovotz, Carson C Chow.   

Abstract

When the body is infected, it mounts an acute inflammatory response to rid itself of the pathogens and restore health. Uncontrolled acute inflammation due to infection is defined clinically as sepsis and can culminate in organ failure and death. We consider a three-dimensional ordinary differential equation model of inflammation consisting of a pathogen, and two inflammatory mediators. The model reproduces the healthy outcome and diverse negative outcomes, depending on initial conditions and parameters. We analyze the various bifurcations between the different outcomes when key parameters are changed and suggest various therapeutic strategies. We suggest that the clinical condition of sepsis can arise from several distinct physiological states, each of which requires a different treatment approach.

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Year:  2004        PMID: 15321710     DOI: 10.1016/j.jtbi.2004.04.044

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  92 in total

1.  Antiinflammatory properties of antiLy6G antibody disappear during magnetic field exposure in rats with carrageenan induced acute paw inflammation.

Authors:  Tufan Mert; Tuba Ozcan Metin; Mehmet Sahin; Selma Yaman
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2020-06-26       Impact factor: 3.000

Review 2.  Translational potential of systems-based models of inflammation.

Authors:  P T Foteinou; S E Calvano; S F Lowry; I P Androulakis
Journal:  Clin Transl Sci       Date:  2009-02       Impact factor: 4.689

Review 3.  Translational systems approaches to the biology of inflammation and healing.

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

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

Authors:  Jose M Prince; 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
Journal:  Mol Med       Date:  2006 Apr-Jun       Impact factor: 6.354

5.  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 6.  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

7.  NETWORKS, BIOLOGY AND SYSTEMS ENGINEERING: A CASE STUDY IN INFLAMMATION.

Authors:  P T Foteinou; E Yang; I P Androulakis
Journal:  Comput Chem Eng       Date:  2009-12-10       Impact factor: 3.845

8.  Modelling the interaction between the host immune response, bacterial dynamics and inflammatory damage in comparison with immunomodulation and vaccination experiments.

Authors:  Angela M Jarrett; N G Cogan; M E Shirtliff
Journal:  Math Med Biol       Date:  2014-05-08       Impact factor: 1.854

9.  Mathematical modeling of energy consumption in the acute inflammatory response.

Authors:  Ivan Ramirez-Zuniga; Jonathan E Rubin; David Swigon; Gilles Clermont
Journal:  J Theor Biol       Date:  2018-08-25       Impact factor: 2.691

10.  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

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