具有时滞的肿瘤免疫模型的稳定性和分岔

Li Yangjuan, Xiao Zhengying, Lin Jinzhong
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摘要

本文采用理论计算和数值模拟的方法研究了时间延迟对肿瘤免疫系统稳定性的影响。由于免疫细胞对肿瘤细胞的识别需要一定的时间才能做出适当的反应,因此考虑到这一过程中的时间延迟,建立了肿瘤-免疫系统相互作用的时滞模型。利用Taylor展开式对模型进行了简化,求解了四个平衡点。然后利用数值模拟软件计算各平衡点的特征根,确定系统在小时延下各平衡点的稳定性。结果表明,该系统具有双稳态现象。鞍点和稳定节点不受时延的影响,只有稳定焦点的稳定性随时延变化而变化,存在Hopf分岔。本研究有助于确定肿瘤的最佳治疗时间,为分析肿瘤状态及治疗提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability and Bifurcation of Tumor Immune Model with Time Delay
In this paper, we investigate the effect of time delay on the stability of the tumor immune system using theoretical calculations and numerical simulations. Since it takes a certain time for immune cells to recognize tumor cells to make an appropriate response, a model of tumor-immune system interaction with time delay is established by considering time delay in this process. The four equilibrium points are solved by simplifying the model using Taylor expansion with a small time delay. Then the stability of each equilibrium point of the system under a small time delay is determined by calculating the characteristic roots of each equilibrium point with numerical simulation software. The results show that the system has a bistability phenomenon. The saddle point and stable node are not affected by the delay, while only the stability of the stable foci changes with the time delay with Hopf bifurcation. This study can help determine the optimal time for tumor treatment and provide a reference for analyzing tumor status and treatment.
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