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A computational model of invasive aspergillosis in the lung and the role of iron
BACKGROUND: Invasive aspergillosis is a severe infection of immunocompromised hosts, caused by the inhalation of the spores of the ubiquitous environmental molds of the Aspergillus genus. The innate immune response in this infection entails a series of complex and inter-related interactions between...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4839115/ https://www.ncbi.nlm.nih.gov/pubmed/27098278 http://dx.doi.org/10.1186/s12918-016-0275-2 |
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author | Oremland, Matthew Michels, Kathryn R. Bettina, Alexandra M. Lawrence, Chris Mehrad, Borna Laubenbacher, Reinhard |
author_facet | Oremland, Matthew Michels, Kathryn R. Bettina, Alexandra M. Lawrence, Chris Mehrad, Borna Laubenbacher, Reinhard |
author_sort | Oremland, Matthew |
collection | PubMed |
description | BACKGROUND: Invasive aspergillosis is a severe infection of immunocompromised hosts, caused by the inhalation of the spores of the ubiquitous environmental molds of the Aspergillus genus. The innate immune response in this infection entails a series of complex and inter-related interactions between multiple recruited and resident cell populations with each other and with the fungal cell; in particular, iron is critical for fungal growth. RESULTS: A computational model of invasive aspergillosis is presented here; the model can be used as a rational hypothesis-generating tool to investigate host responses to this infection. Using a combination of laboratory data and published literature, an in silico model of a section of lung tissue was generated that includes an alveolar duct, adjacent capillaries, and surrounding lung parenchyma. The three-dimensional agent-based model integrates temporal events in fungal cells, epithelial cells, monocytes, and neutrophils after inhalation of spores with cellular dynamics at the tissue level, comprising part of the innate immune response. Iron levels in the blood and tissue play a key role in the fungus’ ability to grow, and the model includes iron recruitment and consumption by the different types of cells included. Parameter sensitivity analysis suggests the model is robust with respect to unvalidated parameters, and thus is a viable tool for an in silico investigation of invasive aspergillosis. CONCLUSIONS: Using laboratory data from a mouse model of invasive aspergillosis in the context of transient neutropenia as validation, the model predicted qualitatively similar time course changes in fungal burden, monocyte and neutrophil populations, and tissue iron levels. This model lays the groundwork for a multi-scale dynamic mathematical model of the immune response to Aspergillus species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-016-0275-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4839115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48391152016-04-22 A computational model of invasive aspergillosis in the lung and the role of iron Oremland, Matthew Michels, Kathryn R. Bettina, Alexandra M. Lawrence, Chris Mehrad, Borna Laubenbacher, Reinhard BMC Syst Biol Research Article BACKGROUND: Invasive aspergillosis is a severe infection of immunocompromised hosts, caused by the inhalation of the spores of the ubiquitous environmental molds of the Aspergillus genus. The innate immune response in this infection entails a series of complex and inter-related interactions between multiple recruited and resident cell populations with each other and with the fungal cell; in particular, iron is critical for fungal growth. RESULTS: A computational model of invasive aspergillosis is presented here; the model can be used as a rational hypothesis-generating tool to investigate host responses to this infection. Using a combination of laboratory data and published literature, an in silico model of a section of lung tissue was generated that includes an alveolar duct, adjacent capillaries, and surrounding lung parenchyma. The three-dimensional agent-based model integrates temporal events in fungal cells, epithelial cells, monocytes, and neutrophils after inhalation of spores with cellular dynamics at the tissue level, comprising part of the innate immune response. Iron levels in the blood and tissue play a key role in the fungus’ ability to grow, and the model includes iron recruitment and consumption by the different types of cells included. Parameter sensitivity analysis suggests the model is robust with respect to unvalidated parameters, and thus is a viable tool for an in silico investigation of invasive aspergillosis. CONCLUSIONS: Using laboratory data from a mouse model of invasive aspergillosis in the context of transient neutropenia as validation, the model predicted qualitatively similar time course changes in fungal burden, monocyte and neutrophil populations, and tissue iron levels. This model lays the groundwork for a multi-scale dynamic mathematical model of the immune response to Aspergillus species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-016-0275-2) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-21 /pmc/articles/PMC4839115/ /pubmed/27098278 http://dx.doi.org/10.1186/s12918-016-0275-2 Text en © Oremland et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Oremland, Matthew Michels, Kathryn R. Bettina, Alexandra M. Lawrence, Chris Mehrad, Borna Laubenbacher, Reinhard A computational model of invasive aspergillosis in the lung and the role of iron |
title | A computational model of invasive aspergillosis in the lung and the role of iron |
title_full | A computational model of invasive aspergillosis in the lung and the role of iron |
title_fullStr | A computational model of invasive aspergillosis in the lung and the role of iron |
title_full_unstemmed | A computational model of invasive aspergillosis in the lung and the role of iron |
title_short | A computational model of invasive aspergillosis in the lung and the role of iron |
title_sort | computational model of invasive aspergillosis in the lung and the role of iron |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4839115/ https://www.ncbi.nlm.nih.gov/pubmed/27098278 http://dx.doi.org/10.1186/s12918-016-0275-2 |
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