Publicou 6 edições por ano
ISSN Imprimir: 0278-940X
ISSN On-line: 1943-619X
Indexed in
Modeling Physiologic Variability in Human Endotoxemia
RESUMO
The control and management of inflammation is a key aspect of clinical care for critical illnesses such as sepsis. In an ideal reaction to injury, the inflammatory response provokes a strong enough response to heal the injury and then restores homeostasis. When inflammation becomes dysregulated, a persistent inflammatory state can lead to significant deleterious effects and clinical challenges. Thus, gaining a better biological understanding of the mechanisms driving the inflammatory response is of the utmost importance. In this review, we discuss our work with the late Stephen F. Lowry to investigate systemic inflammation through systems biology of human endotoxemia. We present our efforts in modeling the human endotoxemia response with a particular focus on physiologic variability. Through modeling, with a focus ultimately on translational applications, we obtain more fundamental understanding of relevant physiological processes. And by taking advantage of the information embedded in biological rhythms, ranging in time scale from high-frequency autonomic oscillations reflected in heart rate variability to circadian rhythms in inflammatory mediators, we gain insight into the underlying physiology.
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Kamisoglu Kubra, Haimovich Beatrice, Calvano Steve E, Coyle Susette M, Corbett Siobhan A, Langley Raymond J, Kingsmore Stephen F, Androulakis Ioannis P, Human metabolic response to systemic inflammation: assessment of the concordance between experimental endotoxemia and clinical cases of sepsis/SIRS, Critical Care, 19, 1, 2015. Crossref
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Hartmanshenn Clara, Rao Rohit T., Bae Seul-A., Scherholz Megerle L., Acevedo Alison, Pierre Kamau K., Androulakis Ioannis P., Quantitative systems pharmacology: Extending the envelope through systems engineering, in Quantitative Systems Pharmacology - Models and Model-Based Systems with Applications, 42, 2018. Crossref
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Mavroudis Panteleimon D., Scheff Jeremy D., Doyle John C., Vodovotz Yoram, Androulakis Ioannis P., The Impact of Stochasticity and Its Control on a Model of the Inflammatory Response, Computation, 7, 1, 2018. Crossref
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Scheff Jeremy D., Calvano Steve E., Androulakis Ioannis P., Multiscale Equation-Based Models: Insights for Inflammation and Physiological Variability, in Complex Systems and Computational Biology Approaches to Acute Inflammation, 2021. Crossref
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Clermont Gilles, Translational Equation-Based Modeling, in Complex Systems and Computational Biology Approaches to Acute Inflammation, 2021. Crossref
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