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Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock
A dynamical model of the pathophysiological behaviors of IL18 and IL10 cytokines with their receptors is tested against data for the case of early sepsis. The proposed approach considers the surroundings (organs and bone marrow) and the different subsystems (cells and cyctokines). The interactions b...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505012/ https://www.ncbi.nlm.nih.gov/pubmed/32597796 http://dx.doi.org/10.3233/ISB-200474 |
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author | Tallon, J. Browning, B. Couenne, F. Bordes, C. Venet, F. Nony, P. Gueyffier, F. Moucadel, V. Monneret, G. Tayakout-Fayolle, M. |
author_facet | Tallon, J. Browning, B. Couenne, F. Bordes, C. Venet, F. Nony, P. Gueyffier, F. Moucadel, V. Monneret, G. Tayakout-Fayolle, M. |
author_sort | Tallon, J. |
collection | PubMed |
description | A dynamical model of the pathophysiological behaviors of IL18 and IL10 cytokines with their receptors is tested against data for the case of early sepsis. The proposed approach considers the surroundings (organs and bone marrow) and the different subsystems (cells and cyctokines). The interactions between blood cells, cytokines and the surroundings are described via mass balances. Cytokines are adsorbed onto associated receptors at the cell surface. The adsorption is described by the Langmuir model and gives rise to the production of more cytokines and associated receptors inside the cell. The quantities of pro and anti-inflammatory cytokines present in the body are combined to give global information via an inflammation level function which describes the patient’s state. Data for parameter estimation comes from the Sepsis 48 H database. Comparisons between patient data and simulations are presented and are in good agreement. For the IL18/IL10 cytokine pair, 5 key parameters have been found. They are linked to pro-inflammatory IL18 cytokine and show that the early sepsis is driven by components of inflammatory character. |
format | Online Article Text |
id | pubmed-7505012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75050122020-10-06 Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock Tallon, J. Browning, B. Couenne, F. Bordes, C. Venet, F. Nony, P. Gueyffier, F. Moucadel, V. Monneret, G. Tayakout-Fayolle, M. In Silico Biol Research Article A dynamical model of the pathophysiological behaviors of IL18 and IL10 cytokines with their receptors is tested against data for the case of early sepsis. The proposed approach considers the surroundings (organs and bone marrow) and the different subsystems (cells and cyctokines). The interactions between blood cells, cytokines and the surroundings are described via mass balances. Cytokines are adsorbed onto associated receptors at the cell surface. The adsorption is described by the Langmuir model and gives rise to the production of more cytokines and associated receptors inside the cell. The quantities of pro and anti-inflammatory cytokines present in the body are combined to give global information via an inflammation level function which describes the patient’s state. Data for parameter estimation comes from the Sepsis 48 H database. Comparisons between patient data and simulations are presented and are in good agreement. For the IL18/IL10 cytokine pair, 5 key parameters have been found. They are linked to pro-inflammatory IL18 cytokine and show that the early sepsis is driven by components of inflammatory character. IOS Press 2020-07-23 /pmc/articles/PMC7505012/ /pubmed/32597796 http://dx.doi.org/10.3233/ISB-200474 Text en © 2020 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Tallon, J. Browning, B. Couenne, F. Bordes, C. Venet, F. Nony, P. Gueyffier, F. Moucadel, V. Monneret, G. Tayakout-Fayolle, M. Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock |
title | Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock |
title_full | Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock |
title_fullStr | Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock |
title_full_unstemmed | Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock |
title_short | Dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock |
title_sort | dynamical modeling of pro- and anti-inflammatory cytokines in the early stage of septic shock |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505012/ https://www.ncbi.nlm.nih.gov/pubmed/32597796 http://dx.doi.org/10.3233/ISB-200474 |
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