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Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis
BACKGROUND: The relapsing-remitting dynamics is a hallmark of autoimmune diseases such as Multiple Sclerosis (MS). Although current understanding of both cellular and molecular mechanisms involved in the pathogenesis of autoimmune diseases is significant, how their activity generates this prototypic...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3155504/ https://www.ncbi.nlm.nih.gov/pubmed/21762505 http://dx.doi.org/10.1186/1752-0509-5-114 |
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author | Vélez de Mendizábal, Nieves Carneiro, Jorge Solé, Ricard V Goñi, Joaquín Bragard, Jean Martinez-Forero, Ivan Martinez-Pasamar, Sara Sepulcre, Jorge Torrealdea, Javier Bagnato, Francesca Garcia-Ojalvo, Jordi Villoslada, Pablo |
author_facet | Vélez de Mendizábal, Nieves Carneiro, Jorge Solé, Ricard V Goñi, Joaquín Bragard, Jean Martinez-Forero, Ivan Martinez-Pasamar, Sara Sepulcre, Jorge Torrealdea, Javier Bagnato, Francesca Garcia-Ojalvo, Jordi Villoslada, Pablo |
author_sort | Vélez de Mendizábal, Nieves |
collection | PubMed |
description | BACKGROUND: The relapsing-remitting dynamics is a hallmark of autoimmune diseases such as Multiple Sclerosis (MS). Although current understanding of both cellular and molecular mechanisms involved in the pathogenesis of autoimmune diseases is significant, how their activity generates this prototypical dynamics is not understood yet. In order to gain insight about the mechanisms that drive these relapsing-remitting dynamics, we developed a computational model using such biological knowledge. We hypothesized that the relapsing dynamics in autoimmunity can arise through the failure in the mechanisms controlling cross-regulation between regulatory and effector T cells with the interplay of stochastic events (e.g. failure in central tolerance, activation by pathogens) that are able to trigger the immune system. RESULTS: The model represents five concepts: central tolerance (T-cell generation by the thymus), T-cell activation, T-cell memory, cross-regulation (negative feedback) between regulatory and effector T-cells and tissue damage. We enriched the model with reversible and irreversible tissue damage, which aims to provide a comprehensible link between autoimmune activity and clinical relapses and active lesions in the magnetic resonances studies in patients with Multiple Sclerosis. Our analysis shows that the weakness in this negative feedback between effector and regulatory T-cells, allows the immune system to generate the characteristic relapsing-remitting dynamics of autoimmune diseases, without the need of additional environmental triggers. The simulations show that the timing at which relapses appear is highly unpredictable. We also introduced targeted perturbations into the model that mimicked immunotherapies that modulate effector and regulatory populations. The effects of such therapies happened to be highly dependent on the timing and/or dose, and on the underlying dynamic of the immune system. CONCLUSION: The relapsing dynamic in MS derives from the emergent properties of the immune system operating in a pathological state, a fact that has implications for predicting disease course and developing new therapies for MS. |
format | Online Article Text |
id | pubmed-3155504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31555042011-08-13 Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis Vélez de Mendizábal, Nieves Carneiro, Jorge Solé, Ricard V Goñi, Joaquín Bragard, Jean Martinez-Forero, Ivan Martinez-Pasamar, Sara Sepulcre, Jorge Torrealdea, Javier Bagnato, Francesca Garcia-Ojalvo, Jordi Villoslada, Pablo BMC Syst Biol Research Article BACKGROUND: The relapsing-remitting dynamics is a hallmark of autoimmune diseases such as Multiple Sclerosis (MS). Although current understanding of both cellular and molecular mechanisms involved in the pathogenesis of autoimmune diseases is significant, how their activity generates this prototypical dynamics is not understood yet. In order to gain insight about the mechanisms that drive these relapsing-remitting dynamics, we developed a computational model using such biological knowledge. We hypothesized that the relapsing dynamics in autoimmunity can arise through the failure in the mechanisms controlling cross-regulation between regulatory and effector T cells with the interplay of stochastic events (e.g. failure in central tolerance, activation by pathogens) that are able to trigger the immune system. RESULTS: The model represents five concepts: central tolerance (T-cell generation by the thymus), T-cell activation, T-cell memory, cross-regulation (negative feedback) between regulatory and effector T-cells and tissue damage. We enriched the model with reversible and irreversible tissue damage, which aims to provide a comprehensible link between autoimmune activity and clinical relapses and active lesions in the magnetic resonances studies in patients with Multiple Sclerosis. Our analysis shows that the weakness in this negative feedback between effector and regulatory T-cells, allows the immune system to generate the characteristic relapsing-remitting dynamics of autoimmune diseases, without the need of additional environmental triggers. The simulations show that the timing at which relapses appear is highly unpredictable. We also introduced targeted perturbations into the model that mimicked immunotherapies that modulate effector and regulatory populations. The effects of such therapies happened to be highly dependent on the timing and/or dose, and on the underlying dynamic of the immune system. CONCLUSION: The relapsing dynamic in MS derives from the emergent properties of the immune system operating in a pathological state, a fact that has implications for predicting disease course and developing new therapies for MS. BioMed Central 2011-07-15 /pmc/articles/PMC3155504/ /pubmed/21762505 http://dx.doi.org/10.1186/1752-0509-5-114 Text en Copyright ©2011 Vélez de Mendizábal et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Vélez de Mendizábal, Nieves Carneiro, Jorge Solé, Ricard V Goñi, Joaquín Bragard, Jean Martinez-Forero, Ivan Martinez-Pasamar, Sara Sepulcre, Jorge Torrealdea, Javier Bagnato, Francesca Garcia-Ojalvo, Jordi Villoslada, Pablo Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis |
title | Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis |
title_full | Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis |
title_fullStr | Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis |
title_full_unstemmed | Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis |
title_short | Modeling the effector - regulatory T cell cross-regulation reveals the intrinsic character of relapses in Multiple Sclerosis |
title_sort | modeling the effector - regulatory t cell cross-regulation reveals the intrinsic character of relapses in multiple sclerosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3155504/ https://www.ncbi.nlm.nih.gov/pubmed/21762505 http://dx.doi.org/10.1186/1752-0509-5-114 |
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