Global sensitivity analysis of a mathematical model of acute inflammation identifies nonlinear dependence of cumulative tissue damage on host interleukin-6 responses.

Mathew, Shibin; Bartels, John; Banerjee, Ipsita; Vodovotz, Yoram

Mathew, Shibin; Bartels, John; Banerjee, Ipsita; Vodovotz, Yoram.

Afiliação

Mathew S; Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA. Electronic address: shm82@pitt.edu.
Bartels J; Immunetrics, Inc., Pittsburgh, PA 15203, USA.
Banerjee I; Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15219, USA; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA.
Vodovotz Y; Immunetrics, Inc., Pittsburgh, PA 15203, USA; Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA; Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA. Electronic address: vodovotzy

J Theor Biol ; 358: 132-48, 2014 Oct 07.

Article em En | MEDLINE | ID: mdl-24909493

Assuntos

Interleucina-6/biossíntese; Modelos Teóricos; Doença Aguda; Humanos; Modelos Estatísticos; Método de Monte Carlo; Dinâmica não Linear

Palavras-chave

Cytokines; Endotoxin; Inflammation dynamics; Meta-modeling; Nitric oxide

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interleucina-6 / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Theor Biol Ano de publicação: 2014 Tipo de documento: Article

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