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具有免疫反应延迟的肿瘤 - 免疫系统相互作用模型中的振荡

Oscillations in a tumor-immune system interaction model with immune response delay.

作者信息

Huo Zhaoxuan, Huang Jicai, Kuang Yang, Ruan Shigui, Zhang Yuyue

机构信息

School of Mathematics and Statistics, Central China Normal University, Wuhan, Hubei 430079, P. R. China.

School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, USA.

出版信息

Math Med Biol. 2025 Mar 17;42(2):131-158. doi: 10.1093/imammb/dqae016.

Abstract

In this paper we consider a tumor-immune system interaction model with immune response delay, in which a nonmonotonic function is used to describe immune response to the tumor burden and a time delay is used to represent the time for the immune system to respond and take effect. It is shown that the model may have one, two or three tumor equilibria, respectively, under different conditions. Time delay can only affect the stability of the low tumor equilibrium, and local Hopf bifurcation occurs when the time delay passes through a critical value. The direction and stability of the bifurcating periodic solutions are also determined. Moreover, the global existence of periodic solutions is established by using a global Hopf bifurcation theorem. We also observe the existence of relaxation oscillations and complex oscillating patterns driven by the time delay. Numerical simulations are presented to illustrate the theoretical results.

摘要

在本文中,我们考虑一个具有免疫反应延迟的肿瘤 - 免疫系统相互作用模型,其中使用一个非单调函数来描述免疫系统对肿瘤负荷的反应,并使用一个时间延迟来表示免疫系统做出反应并产生效果所需的时间。结果表明,在不同条件下,该模型可能分别具有一个、两个或三个肿瘤平衡点。时间延迟仅能影响低肿瘤平衡点的稳定性,并且当时间延迟通过一个临界值时会发生局部分岔。还确定了分岔周期解的方向和稳定性。此外,利用一个全局分岔定理建立了周期解的全局存在性。我们还观察到由时间延迟驱动的松弛振荡和复杂振荡模式的存在。给出了数值模拟以说明理论结果。

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