Spatiotemporal dynamics of a glioma immune interaction model

Abstract We report a mathematical model which depicts the spatiotemporal dynamics of glioma cells, macrophages, cytotoxic-T-lymphocytes, immuno-suppressive cytokine TGF-β and immuno-stimulatory cytokine IFN-γ through a system of five coupled reaction-diffusion equations. We performed local stability...

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Main Authors: Subhas Khajanchi, Juan J. Nieto
Format: Article
Language:English
Published: Nature Portfolio 2021-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-00985-1
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author Subhas Khajanchi
Juan J. Nieto
author_facet Subhas Khajanchi
Juan J. Nieto
author_sort Subhas Khajanchi
collection DOAJ
description Abstract We report a mathematical model which depicts the spatiotemporal dynamics of glioma cells, macrophages, cytotoxic-T-lymphocytes, immuno-suppressive cytokine TGF-β and immuno-stimulatory cytokine IFN-γ through a system of five coupled reaction-diffusion equations. We performed local stability analysis of the biologically based mathematical model for the growth of glioma cell population and their environment. The presented stability analysis of the model system demonstrates that the temporally stable positive interior steady state remains stable under the small inhomogeneous spatiotemporal perturbations. The irregular spatiotemporal dynamics of gliomas, macrophages and cytotoxic T-lymphocytes are discussed extensively and some numerical simulations are presented. Performed some numerical simulations in both one and two dimensional spaces. The occurrence of heterogeneous pattern formation of the system has both biological and mathematical implications and the concepts of glioma cell progression and invasion are considered. Simulation of the model shows that by increasing the value of time, the glioma cell population, macrophages and cytotoxic-T-lymphocytes spread throughout the domain.
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spelling doaj.art-2ff4cd1146fe4a12a6b33b3cb1e9bc832022-12-21T20:47:22ZengNature PortfolioScientific Reports2045-23222021-11-0111111710.1038/s41598-021-00985-1Spatiotemporal dynamics of a glioma immune interaction modelSubhas Khajanchi0Juan J. Nieto1Department of Mathematics, Presidency UniversityInstituto de Matem\acute{a}ticas, Universidade de Santiago de CompostelaAbstract We report a mathematical model which depicts the spatiotemporal dynamics of glioma cells, macrophages, cytotoxic-T-lymphocytes, immuno-suppressive cytokine TGF-β and immuno-stimulatory cytokine IFN-γ through a system of five coupled reaction-diffusion equations. We performed local stability analysis of the biologically based mathematical model for the growth of glioma cell population and their environment. The presented stability analysis of the model system demonstrates that the temporally stable positive interior steady state remains stable under the small inhomogeneous spatiotemporal perturbations. The irregular spatiotemporal dynamics of gliomas, macrophages and cytotoxic T-lymphocytes are discussed extensively and some numerical simulations are presented. Performed some numerical simulations in both one and two dimensional spaces. The occurrence of heterogeneous pattern formation of the system has both biological and mathematical implications and the concepts of glioma cell progression and invasion are considered. Simulation of the model shows that by increasing the value of time, the glioma cell population, macrophages and cytotoxic-T-lymphocytes spread throughout the domain.https://doi.org/10.1038/s41598-021-00985-1
spellingShingle Subhas Khajanchi
Juan J. Nieto
Spatiotemporal dynamics of a glioma immune interaction model
Scientific Reports
title Spatiotemporal dynamics of a glioma immune interaction model
title_full Spatiotemporal dynamics of a glioma immune interaction model
title_fullStr Spatiotemporal dynamics of a glioma immune interaction model
title_full_unstemmed Spatiotemporal dynamics of a glioma immune interaction model
title_short Spatiotemporal dynamics of a glioma immune interaction model
title_sort spatiotemporal dynamics of a glioma immune interaction model
url https://doi.org/10.1038/s41598-021-00985-1
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AT juanjnieto spatiotemporaldynamicsofagliomaimmuneinteractionmodel