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

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dc.citation.doi10.1155/2015/504259
dc.citation.issn2314-6133
dc.citation.jtitleBiomed Research International
dc.citation.spage31
dc.contributor.authorShi, Z. Z.
dc.contributor.authorWu, Chih-Hang J.
dc.contributor.authorBen-Arieh, David
dc.contributor.authorSimpson, S. Q.
dc.contributor.authoreidchw
dc.contributor.authoreiddavidbe
dc.date.accessioned2016-04-06T14:54:02Z
dc.date.available2016-04-06T14:54:02Z
dc.date.issued2015-09-08
dc.date.published2015
dc.descriptionCitation: 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.descriptionSepsis 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.description.versionArticle: Version of Record
dc.identifier.urihttp://hdl.handle.net/2097/32334
dc.relation.urihttps://doi.org/10.1155/2015/504259
dc.rightsAttribution 3.0 Unported (CC BY 3.0)
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.subjectNecrosis-Factor-Alpha
dc.subjectSurface-Plasmon Resonance
dc.subjectSingle-Cell Level
dc.subjectSalmonella-Typhimurium
dc.subjectLiver-Injury
dc.subjectTnf-Alpha
dc.titleMathematical Model of Innate and Adaptive Immunity of Sepsis: A Modeling and Simulation Study of Infectious Disease
dc.typeText

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