Mathematical Model of Innate and Adaptive Immunity of Sepsis: A Modeling and Simulation Study of Infectious Disease

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dc.contributor.author Shi, Z. Z.
dc.contributor.author Wu, Chih-Hang J.
dc.contributor.author Ben-Arieh, David
dc.contributor.author Simpson, S. Q.
dc.date.accessioned 2016-04-06T14:54:02Z
dc.date.available 2016-04-06T14:54:02Z
dc.date.issued 2015-09-08
dc.identifier.uri http://hdl.handle.net/2097/32334
dc.description Citation: Shi, Z. Z., Wu, C. H. J., Ben-Arieh, D., & Simpson, S. Q. (2015). Mathematical Model of Innate and Adaptive Immunity of Sepsis: A Modeling and Simulation Study of Infectious Disease. Biomed Research International, 31. doi:10.1155/2015/504259
dc.description Sepsis is a systemic inflammatory response (SIR) to infection. In this work, a system dynamics mathematical model (SDMM) is examined to describe the basic components of SIR and sepsis progression. Both innate and adaptive immunities are included, and simulated results in silico have shown that adaptive immunity has significant impacts on the outcomes of sepsis progression. Further investigation has found that the intervention timing, intensity of anti- inflammatory cytokines, and initial pathogen load are highly predictive of outcomes of a sepsis episode. Sensitivity and stability analysis were carried out using bifurcation analysis to explore system stability with various initial and boundary conditions. The stability analysis suggested that the system could diverge at an unstable equilibrium after perturbations if r(t2max) (maximum release rate of Tumor Necrosis Factor- (TNF-) alpha by neutrophil) falls below a certain level. This finding conforms to clinical findings and existing literature regarding the lack of efficacy of anti- TNF antibody therapy.
dc.relation.uri https://doi.org/10.1155/2015/504259
dc.rights Attribution 3.0 Unported (CC BY 3.0)
dc.rights.uri http://creativecommons.org/licenses/by/3.0/
dc.subject Necrosis-Factor-Alpha
dc.subject Surface-Plasmon Resonance
dc.subject Single-Cell Level
dc.subject Salmonella-Typhimurium
dc.subject Liver-Injury
dc.subject Tnf-Alpha
dc.title Mathematical Model of Innate and Adaptive Immunity of Sepsis: A Modeling and Simulation Study of Infectious Disease
dc.type Text
dc.date.published 2015
dc.citation.doi 10.1155/2015/504259
dc.citation.issn 2314-6133
dc.citation.jtitle Biomed Research International
dc.citation.spage 31
dc.contributor.authoreid chw
dc.contributor.authoreid davidbe
dc.description.version Article: Version of Record


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Attribution 3.0 Unported (CC BY 3.0) Except where otherwise noted, the use of this item is bound by the following: Attribution 3.0 Unported (CC BY 3.0)

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