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Modeling the Bistable Dynamics of the Innate Immune System.
Kadelka, Sarah; Boribong, Brittany P; Li, Liwu; Ciupe, Stanca M.
Afiliação
  • Kadelka S; Department of Mathematics, Virginia Tech, Blacksburg, VA, USA.
  • Boribong BP; Interdisciplinary Program in Genetics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA, USA.
  • Li L; Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.
  • Ciupe SM; Department of Mathematics, Virginia Tech, Blacksburg, VA, USA. stanca@math.vt.edu.
Bull Math Biol ; 81(1): 256-276, 2019 01.
Article em En | MEDLINE | ID: mdl-30387078
ABSTRACT
The size of primary challenge with lipopolysaccharide induces changes in the innate immune cells phenotype between pro-inflammatory and pro-tolerant states when facing a secondary lipopolysaccharide challenge. To determine the molecular mechanisms governing this differential response, we propose a mathematical model for the interaction between three proteins involved in the immune cell decision making IRAK-1, PI3K, and RelB. The mutual inhibition of IRAK-1 and PI3K in the model leads to bistable dynamics. By using the levels of RelB as indicative of strength of the immune responses, we connect the size of different primary lipopolysaccharide doses to the differential phenotypical outcomes following a secondary challenge. We further predict under what circumstances the primary LPS dose does not influence the response to a secondary challenge. Our results can be used to guide treatments for patients with either autoimmune disease or compromised immune system.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Imunológicos / Imunidade Inata Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Bull Math Biol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Imunológicos / Imunidade Inata Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Bull Math Biol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
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