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脑胶质瘤免疫相互作用模型的时空动力学。

Spatiotemporal dynamics of a glioma immune interaction model.

机构信息

Department of Mathematics, Presidency University, 86/1 College Street, Kolkata, 700073, India.

Instituto de Matem\acute{a}ticas, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.

出版信息

Sci Rep. 2021 Nov 17;11(1):22385. doi: 10.1038/s41598-021-00985-1.

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.

摘要

我们报告了一个数学模型,通过五个耦合的反应-扩散方程来描述神经胶质瘤细胞、巨噬细胞、细胞毒性 T 淋巴细胞、免疫抑制性细胞因子 TGF-β和免疫刺激性细胞因子 IFN-γ的时空动态。我们对神经胶质瘤细胞群体及其环境生长的基于生物学的数学模型进行了局部稳定性分析。模型系统的稳定性分析表明,在小的非均匀时空微扰下,暂时稳定的正内部稳定状态保持稳定。广泛讨论了神经胶质瘤、巨噬细胞和细胞毒性 T 淋巴细胞的不规则时空动力学,并提出了一些数值模拟。在一维和二维空间中进行了一些数值模拟。系统异质模式形成的发生具有生物学和数学意义,并考虑了神经胶质瘤细胞进展和侵袭的概念。模型的模拟表明,随着时间的增加,神经胶质瘤细胞群体、巨噬细胞和细胞毒性 T 淋巴细胞会扩散到整个区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/363d/8599515/98557bc9c3dc/41598_2021_985_Fig1_HTML.jpg

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