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Uncoding the interdependency of tumor microenvironment and macrophage polarization: insights from a continuous network approach

The balance between pro- and anti-inflammatory immune system responses is crucial to preventing complex diseases like cancer. Macrophages are essential immune cells that contribute to this balance constrained by the local signaling profile of the tumor microenvironment. To understand how pro- and an...

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Autores principales: Avila-Ponce de León, Ugo, Vázquez-Jiménez, Aarón, Padilla-Longoria, Pablo, Resendis-Antonio, Osbaldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240616/
https://www.ncbi.nlm.nih.gov/pubmed/37283734
http://dx.doi.org/10.3389/fimmu.2023.1150890
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author Avila-Ponce de León, Ugo
Vázquez-Jiménez, Aarón
Padilla-Longoria, Pablo
Resendis-Antonio, Osbaldo
author_facet Avila-Ponce de León, Ugo
Vázquez-Jiménez, Aarón
Padilla-Longoria, Pablo
Resendis-Antonio, Osbaldo
author_sort Avila-Ponce de León, Ugo
collection PubMed
description The balance between pro- and anti-inflammatory immune system responses is crucial to preventing complex diseases like cancer. Macrophages are essential immune cells that contribute to this balance constrained by the local signaling profile of the tumor microenvironment. To understand how pro- and anti-inflammatory unbalance emerges in cancer, we developed a theoretical analysis of macrophage differentiation that is derived from activated monocytes circulating in the blood. Once recruited to the site of inflammation, monocytes can be polarized based on the specific interleukins and chemokines in the microenvironment. To quantify this process, we used a previous regulatory network reconstructed by our group and transformed Boolean Network attractors of macrophage polarization to an ODE scheme, it enables us to quantify the activation of their genes in a continuous fashion. The transformation was developed using the interaction rules with a fuzzy logic approach. By implementing this approach, we analyzed different aspects that cannot be visualized in the Boolean setting. For example, this approach allows us to explore the dynamic behavior at different concentrations of cytokines and transcription factors in the microenvironment. One important aspect to assess is the evaluation of the transitions between phenotypes, some of them characterized by an abrupt or a gradual transition depending on specific concentrations of exogenous cytokines in the tumor microenvironment. For instance, IL-10 can induce a hybrid state that transits between an M2c and an M2b macrophage. Interferon- [Formula: see text] can induce a hybrid between M1 and M1a macrophage. We further demonstrated the plasticity of macrophages based on a combination of cytokines and the existence of hybrid phenotypes or partial polarization. This mathematical model allows us to unravel the patterns of macrophage differentiation based on the competition of expression of transcriptional factors. Finally, we survey how macrophages may respond to a continuously changing immunological response in a tumor microenvironment.
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spelling pubmed-102406162023-06-06 Uncoding the interdependency of tumor microenvironment and macrophage polarization: insights from a continuous network approach Avila-Ponce de León, Ugo Vázquez-Jiménez, Aarón Padilla-Longoria, Pablo Resendis-Antonio, Osbaldo Front Immunol Immunology The balance between pro- and anti-inflammatory immune system responses is crucial to preventing complex diseases like cancer. Macrophages are essential immune cells that contribute to this balance constrained by the local signaling profile of the tumor microenvironment. To understand how pro- and anti-inflammatory unbalance emerges in cancer, we developed a theoretical analysis of macrophage differentiation that is derived from activated monocytes circulating in the blood. Once recruited to the site of inflammation, monocytes can be polarized based on the specific interleukins and chemokines in the microenvironment. To quantify this process, we used a previous regulatory network reconstructed by our group and transformed Boolean Network attractors of macrophage polarization to an ODE scheme, it enables us to quantify the activation of their genes in a continuous fashion. The transformation was developed using the interaction rules with a fuzzy logic approach. By implementing this approach, we analyzed different aspects that cannot be visualized in the Boolean setting. For example, this approach allows us to explore the dynamic behavior at different concentrations of cytokines and transcription factors in the microenvironment. One important aspect to assess is the evaluation of the transitions between phenotypes, some of them characterized by an abrupt or a gradual transition depending on specific concentrations of exogenous cytokines in the tumor microenvironment. For instance, IL-10 can induce a hybrid state that transits between an M2c and an M2b macrophage. Interferon- [Formula: see text] can induce a hybrid between M1 and M1a macrophage. We further demonstrated the plasticity of macrophages based on a combination of cytokines and the existence of hybrid phenotypes or partial polarization. This mathematical model allows us to unravel the patterns of macrophage differentiation based on the competition of expression of transcriptional factors. Finally, we survey how macrophages may respond to a continuously changing immunological response in a tumor microenvironment. Frontiers Media S.A. 2023-05-22 /pmc/articles/PMC10240616/ /pubmed/37283734 http://dx.doi.org/10.3389/fimmu.2023.1150890 Text en Copyright © 2023 Avila-Ponce de León, Vázquez-Jiménez, Padilla-Longoria and Resendis-Antonio 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
Avila-Ponce de León, Ugo
Vázquez-Jiménez, Aarón
Padilla-Longoria, Pablo
Resendis-Antonio, Osbaldo
Uncoding the interdependency of tumor microenvironment and macrophage polarization: insights from a continuous network approach
title Uncoding the interdependency of tumor microenvironment and macrophage polarization: insights from a continuous network approach
title_full Uncoding the interdependency of tumor microenvironment and macrophage polarization: insights from a continuous network approach
title_fullStr Uncoding the interdependency of tumor microenvironment and macrophage polarization: insights from a continuous network approach
title_full_unstemmed Uncoding the interdependency of tumor microenvironment and macrophage polarization: insights from a continuous network approach
title_short Uncoding the interdependency of tumor microenvironment and macrophage polarization: insights from a continuous network approach
title_sort uncoding the interdependency of tumor microenvironment and macrophage polarization: insights from a continuous network approach
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240616/
https://www.ncbi.nlm.nih.gov/pubmed/37283734
http://dx.doi.org/10.3389/fimmu.2023.1150890
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