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Macrophage polarization as a potential therapeutic target for atherosclerosis: a dynamic stochastic modelling study

We proposed a dynamic stochastic mathematical model to evaluate the role of macrophage polarization in plaque development. The dynamic process of macrophages from proliferation to death was simulated under different lipid microenvironments. The probability of macrophage phenotypic switching was desc...

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Autores principales: Liu, Mengchen, Cai, Yan, Pan, Jichao, Peter, Karlheinz, Li, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346359/
https://www.ncbi.nlm.nih.gov/pubmed/35950200
http://dx.doi.org/10.1098/rsos.220239
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author Liu, Mengchen
Cai, Yan
Pan, Jichao
Peter, Karlheinz
Li, Zhiyong
author_facet Liu, Mengchen
Cai, Yan
Pan, Jichao
Peter, Karlheinz
Li, Zhiyong
author_sort Liu, Mengchen
collection PubMed
description We proposed a dynamic stochastic mathematical model to evaluate the role of macrophage polarization in plaque development. The dynamic process of macrophages from proliferation to death was simulated under different lipid microenvironments. The probability of macrophage phenotypic switching was described using a Bernoulli distribution where the stochastic variable was determined by the local lipid level. Moreover, the interactions between macrophages and microenvironmental factors vary with macrophage phenotype. We investigated the distribution of key microenvironmental factors, the dynamics of macrophage polarization and its influence on foam cell formation. M1 macrophages were found to predominate in advanced plaque corresponding to the exacerbated inflammation observed in mice experiments. The imbalance between the deposition of oxidized low-density lipoprotein and phagocytic effects of macrophages governed the formation of foam cells. Furthermore, we simulated targeted therapies by either directly inhibiting the polarization probability to M1 macrophages or indirectly regulating macrophage polarization due to high-density lipoprotein levels. Comparison of simulation results with experimental findings in both therapies indicated that the intervention and regulation of macrophage polarization could influence plaque microenvironment and subsequently induce plaque regression, especially in the early stage. The proposed modelling system can facilitate the evaluation of novel therapies targeting macrophage polarization.
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spelling pubmed-93463592022-08-09 Macrophage polarization as a potential therapeutic target for atherosclerosis: a dynamic stochastic modelling study Liu, Mengchen Cai, Yan Pan, Jichao Peter, Karlheinz Li, Zhiyong R Soc Open Sci Mathematics We proposed a dynamic stochastic mathematical model to evaluate the role of macrophage polarization in plaque development. The dynamic process of macrophages from proliferation to death was simulated under different lipid microenvironments. The probability of macrophage phenotypic switching was described using a Bernoulli distribution where the stochastic variable was determined by the local lipid level. Moreover, the interactions between macrophages and microenvironmental factors vary with macrophage phenotype. We investigated the distribution of key microenvironmental factors, the dynamics of macrophage polarization and its influence on foam cell formation. M1 macrophages were found to predominate in advanced plaque corresponding to the exacerbated inflammation observed in mice experiments. The imbalance between the deposition of oxidized low-density lipoprotein and phagocytic effects of macrophages governed the formation of foam cells. Furthermore, we simulated targeted therapies by either directly inhibiting the polarization probability to M1 macrophages or indirectly regulating macrophage polarization due to high-density lipoprotein levels. Comparison of simulation results with experimental findings in both therapies indicated that the intervention and regulation of macrophage polarization could influence plaque microenvironment and subsequently induce plaque regression, especially in the early stage. The proposed modelling system can facilitate the evaluation of novel therapies targeting macrophage polarization. The Royal Society 2022-08-03 /pmc/articles/PMC9346359/ /pubmed/35950200 http://dx.doi.org/10.1098/rsos.220239 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Liu, Mengchen
Cai, Yan
Pan, Jichao
Peter, Karlheinz
Li, Zhiyong
Macrophage polarization as a potential therapeutic target for atherosclerosis: a dynamic stochastic modelling study
title Macrophage polarization as a potential therapeutic target for atherosclerosis: a dynamic stochastic modelling study
title_full Macrophage polarization as a potential therapeutic target for atherosclerosis: a dynamic stochastic modelling study
title_fullStr Macrophage polarization as a potential therapeutic target for atherosclerosis: a dynamic stochastic modelling study
title_full_unstemmed Macrophage polarization as a potential therapeutic target for atherosclerosis: a dynamic stochastic modelling study
title_short Macrophage polarization as a potential therapeutic target for atherosclerosis: a dynamic stochastic modelling study
title_sort macrophage polarization as a potential therapeutic target for atherosclerosis: a dynamic stochastic modelling study
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346359/
https://www.ncbi.nlm.nih.gov/pubmed/35950200
http://dx.doi.org/10.1098/rsos.220239
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