Modeling the effect of environmental cytokines, nutrient conditions and hypoxia on CD4+ T cell differentiation

Upon antigen stimulation and co-stimulation, CD4+ T lymphocytes produce soluble factors that promote the activity of other immune cells against pathogens or modified tissues; this task must be performed in presence of a variety of environmental cytokines, nutrient, and oxygen conditions, which neces...

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Main Authors: David Martínez-Méndez, Leonor Huerta, Carlos Villarreal
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.962175/full
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author David Martínez-Méndez
Leonor Huerta
Carlos Villarreal
author_facet David Martínez-Méndez
Leonor Huerta
Carlos Villarreal
author_sort David Martínez-Méndez
collection DOAJ
description Upon antigen stimulation and co-stimulation, CD4+ T lymphocytes produce soluble factors that promote the activity of other immune cells against pathogens or modified tissues; this task must be performed in presence of a variety of environmental cytokines, nutrient, and oxygen conditions, which necessarily impact T cell function. The complexity of the early intracellular processes taking place upon lymphocyte stimulation is addressed by means of a mathematical model based on a network that integrates variable microenvironmental conditions with intracellular activating, regulatory, and metabolic signals. Besides the phenotype subsets considered in previous works (Th1, Th2, Th17, and Treg) the model includes the main early events in differentiation to the TFH phenotype. The model describes how cytokines, nutrients and oxygen availability regulate the differentiation of naïve CD4+ T cells into distinct subsets. Particularly, it shows that elevated amounts of an all-type mixture of effector cytokines under optimal nutrient and oxygen availability conduces the system towards a highly-polarized Th1 or Th2 state, while reduced cytokine levels allow the expression of the Th17, Treg or TFH subsets, or even hybrid phenotypes. On the other hand, optimal levels of an all-type cytokine mixture in combination with glutamine or tryptophan restriction implies a shift from Th1 to Th2 expression, while decreased levels of the Th2-inducing cytokine IL-4 leads to the rupture of the Th1-Th2 axis, allowing the manifestation of different (or hybrid) subsets. Modeling proposes that, even under reduced levels of pro-inflammatory cytokines, the sole action of hypoxia boost Th17 expression.
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spelling doaj.art-2cd4268fd89b409ab0b23610c4c588292022-12-22T03:17:37ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-09-011310.3389/fimmu.2022.962175962175Modeling the effect of environmental cytokines, nutrient conditions and hypoxia on CD4+ T cell differentiationDavid Martínez-Méndez0Leonor Huerta1Carlos Villarreal2Instituto de Física, Universidad Nacional Autónoma de México, Mexico City, MexicoInstituto de Investigaciones Biomédicas, Departamento de Inmunología, Universidad Nacional Autónoma de México, Mexico City, MexicoInstituto de Física, Universidad Nacional Autónoma de México, Mexico City, MexicoUpon antigen stimulation and co-stimulation, CD4+ T lymphocytes produce soluble factors that promote the activity of other immune cells against pathogens or modified tissues; this task must be performed in presence of a variety of environmental cytokines, nutrient, and oxygen conditions, which necessarily impact T cell function. The complexity of the early intracellular processes taking place upon lymphocyte stimulation is addressed by means of a mathematical model based on a network that integrates variable microenvironmental conditions with intracellular activating, regulatory, and metabolic signals. Besides the phenotype subsets considered in previous works (Th1, Th2, Th17, and Treg) the model includes the main early events in differentiation to the TFH phenotype. The model describes how cytokines, nutrients and oxygen availability regulate the differentiation of naïve CD4+ T cells into distinct subsets. Particularly, it shows that elevated amounts of an all-type mixture of effector cytokines under optimal nutrient and oxygen availability conduces the system towards a highly-polarized Th1 or Th2 state, while reduced cytokine levels allow the expression of the Th17, Treg or TFH subsets, or even hybrid phenotypes. On the other hand, optimal levels of an all-type cytokine mixture in combination with glutamine or tryptophan restriction implies a shift from Th1 to Th2 expression, while decreased levels of the Th2-inducing cytokine IL-4 leads to the rupture of the Th1-Th2 axis, allowing the manifestation of different (or hybrid) subsets. Modeling proposes that, even under reduced levels of pro-inflammatory cytokines, the sole action of hypoxia boost Th17 expression.https://www.frontiersin.org/articles/10.3389/fimmu.2022.962175/fullCD4+ T cellslymphocytesmathematical modelmetabolismnutrientshypoxia
spellingShingle David Martínez-Méndez
Leonor Huerta
Carlos Villarreal
Modeling the effect of environmental cytokines, nutrient conditions and hypoxia on CD4+ T cell differentiation
Frontiers in Immunology
CD4+ T cells
lymphocytes
mathematical model
metabolism
nutrients
hypoxia
title Modeling the effect of environmental cytokines, nutrient conditions and hypoxia on CD4+ T cell differentiation
title_full Modeling the effect of environmental cytokines, nutrient conditions and hypoxia on CD4+ T cell differentiation
title_fullStr Modeling the effect of environmental cytokines, nutrient conditions and hypoxia on CD4+ T cell differentiation
title_full_unstemmed Modeling the effect of environmental cytokines, nutrient conditions and hypoxia on CD4+ T cell differentiation
title_short Modeling the effect of environmental cytokines, nutrient conditions and hypoxia on CD4+ T cell differentiation
title_sort modeling the effect of environmental cytokines nutrient conditions and hypoxia on cd4 t cell differentiation
topic CD4+ T cells
lymphocytes
mathematical model
metabolism
nutrients
hypoxia
url https://www.frontiersin.org/articles/10.3389/fimmu.2022.962175/full
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