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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
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.
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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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