2019
DOI: 10.3389/fphys.2019.01321
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A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine

Abstract: Sepsis is a debilitating condition associated with a high mortality rate that greatly strains hospital resources. Though advances have been made in improving sepsis diagnosis and treatment, our understanding of the disease is far from complete. Mathematical modeling of sepsis has the potential to explore underlying biological mechanisms and patient phenotypes that contribute to variability in septic patient outcomes. We developed a comprehensive, whole-body mathematical model of sepsis pathophysiology using th… Show more

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Cited by 23 publications
(21 citation statements)
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“…BioGears maintains a dynamic model of acute inflammation based on the work of Chow [ 13 ], Reynolds [ 14 ], and Dominguez-Huttinger [ 15 ] that accounts for interactions between numerous pro- and anti-inflammatory mediators associated with burns—such as tumor necrosis factor (TNF) and interleukins-6 and 10 (IL-6, IL-10) [ 10 , 14 ]—and their collective contribution to endothelial damage. We have described the BioGears inflammation model previously in an in silico study of sepsis onset and treatment [ 6 ]. We calibrated this model to burn-mediated inflammation by setting all infection states to zero and introducing a thermal trauma term to the equations describing blood macrophage, blood neutrophil, and tissue integrity kinetics (Equations 6–9, 18 in [ 6 ]).…”
Section: Methodsmentioning
confidence: 99%
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“…BioGears maintains a dynamic model of acute inflammation based on the work of Chow [ 13 ], Reynolds [ 14 ], and Dominguez-Huttinger [ 15 ] that accounts for interactions between numerous pro- and anti-inflammatory mediators associated with burns—such as tumor necrosis factor (TNF) and interleukins-6 and 10 (IL-6, IL-10) [ 10 , 14 ]—and their collective contribution to endothelial damage. We have described the BioGears inflammation model previously in an in silico study of sepsis onset and treatment [ 6 ]. We calibrated this model to burn-mediated inflammation by setting all infection states to zero and introducing a thermal trauma term to the equations describing blood macrophage, blood neutrophil, and tissue integrity kinetics (Equations 6–9, 18 in [ 6 ]).…”
Section: Methodsmentioning
confidence: 99%
“…We have described the BioGears inflammation model previously in an in silico study of sepsis onset and treatment [ 6 ]. We calibrated this model to burn-mediated inflammation by setting all infection states to zero and introducing a thermal trauma term to the equations describing blood macrophage, blood neutrophil, and tissue integrity kinetics (Equations 6–9, 18 in [ 6 ]).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…McDaniel et al . (2019) and Yamanaka et al . (2019) explored the effects of systemic inflammation on blood pressure (BP) and HR.…”
Section: Introductionmentioning
confidence: 96%
“…Several studies have used models to examine inflammatory-cardiovascular communication in humans (Foteinou et al 2011;Scheff et al 2011;McDaniel et al 2019;Yamanaka et al 2019). Foteinou et al (2011) employed a multiscale model to predict the parasympathetic activity and HR in human subjects who received a bolus dose of LPS (2 ng kg −1 of body weight) alone or combined with an epinephrine infusion.…”
Section: Introductionmentioning
confidence: 99%