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Predictable Irreversible Switching Between Acute and Chronic Inflammation
Many a disease associates with inflammation. Upon binding of antigen-antibody complexes to immunoglobulin-like receptors, mast cells release tumor necrosis factor-α and proteases, causing fibroblasts to release endogenous antigens that may be cross reactive with exogenous antigens. We made a predict...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090016/ https://www.ncbi.nlm.nih.gov/pubmed/30131800 http://dx.doi.org/10.3389/fimmu.2018.01596 |
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author | Abudukelimu, Abulikemu Barberis, Matteo Redegeld, Frank A. Sahin, Nilgun Westerhoff, Hans V. |
author_facet | Abudukelimu, Abulikemu Barberis, Matteo Redegeld, Frank A. Sahin, Nilgun Westerhoff, Hans V. |
author_sort | Abudukelimu, Abulikemu |
collection | PubMed |
description | Many a disease associates with inflammation. Upon binding of antigen-antibody complexes to immunoglobulin-like receptors, mast cells release tumor necrosis factor-α and proteases, causing fibroblasts to release endogenous antigens that may be cross reactive with exogenous antigens. We made a predictive dynamic map of the corresponding extracellular network. In silico, this map cleared bacterial infections, via acute inflammation, but could also cause chronic inflammation. In the calculations, limited inflammation flipped to strong inflammation when cross-reacting antigen exceeded an “On threshold.” Subsequent reduction of the antigen load to below this “On threshold” did not remove the strong inflammation phenotype unless the antigen load dropped below a much lower and subtler “Off” threshold. In between both thresholds, the network appeared caught either in a “low” or a “high” inflammatory state. This was not simply a matter of bi-stability, however, the transition to the “high” state was temporarily revertible but ultimately irreversible: removing antigen after high exposure reduced the inflammatory phenotype back to “low” levels but if then the antigen dosage was increased only a little, the high inflammation state was already re-attained. This property may explain why the high inflammation state is indeed “chronic,” whereas only the naive low-inflammation state is “acute.” The model demonstrates that therapies of chronic inflammation such as with anti-IgLC should require fibroblast implantation (or corresponding stem cell activation) for permanence in order to redress the irreversible transition. |
format | Online Article Text |
id | pubmed-6090016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60900162018-08-21 Predictable Irreversible Switching Between Acute and Chronic Inflammation Abudukelimu, Abulikemu Barberis, Matteo Redegeld, Frank A. Sahin, Nilgun Westerhoff, Hans V. Front Immunol Immunology Many a disease associates with inflammation. Upon binding of antigen-antibody complexes to immunoglobulin-like receptors, mast cells release tumor necrosis factor-α and proteases, causing fibroblasts to release endogenous antigens that may be cross reactive with exogenous antigens. We made a predictive dynamic map of the corresponding extracellular network. In silico, this map cleared bacterial infections, via acute inflammation, but could also cause chronic inflammation. In the calculations, limited inflammation flipped to strong inflammation when cross-reacting antigen exceeded an “On threshold.” Subsequent reduction of the antigen load to below this “On threshold” did not remove the strong inflammation phenotype unless the antigen load dropped below a much lower and subtler “Off” threshold. In between both thresholds, the network appeared caught either in a “low” or a “high” inflammatory state. This was not simply a matter of bi-stability, however, the transition to the “high” state was temporarily revertible but ultimately irreversible: removing antigen after high exposure reduced the inflammatory phenotype back to “low” levels but if then the antigen dosage was increased only a little, the high inflammation state was already re-attained. This property may explain why the high inflammation state is indeed “chronic,” whereas only the naive low-inflammation state is “acute.” The model demonstrates that therapies of chronic inflammation such as with anti-IgLC should require fibroblast implantation (or corresponding stem cell activation) for permanence in order to redress the irreversible transition. Frontiers Media S.A. 2018-08-07 /pmc/articles/PMC6090016/ /pubmed/30131800 http://dx.doi.org/10.3389/fimmu.2018.01596 Text en Copyright © 2018 Abudukelimu, Barberis, Redegeld, Sahin and Westerhoff. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Abudukelimu, Abulikemu Barberis, Matteo Redegeld, Frank A. Sahin, Nilgun Westerhoff, Hans V. Predictable Irreversible Switching Between Acute and Chronic Inflammation |
title | Predictable Irreversible Switching Between Acute and Chronic Inflammation |
title_full | Predictable Irreversible Switching Between Acute and Chronic Inflammation |
title_fullStr | Predictable Irreversible Switching Between Acute and Chronic Inflammation |
title_full_unstemmed | Predictable Irreversible Switching Between Acute and Chronic Inflammation |
title_short | Predictable Irreversible Switching Between Acute and Chronic Inflammation |
title_sort | predictable irreversible switching between acute and chronic inflammation |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090016/ https://www.ncbi.nlm.nih.gov/pubmed/30131800 http://dx.doi.org/10.3389/fimmu.2018.01596 |
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