A mathematical tumor growth model for exploring saturated response of M2 macrophages

Kaushik Dehingia , Yamen Alharbi , Vikas Pandey
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Abstract

This study addresses a tumor–macrophage interaction model to examine the role of the saturated response of M2 macrophages. We find the equilibrium point of the model and analyze local stability at each equilibrium. We show that tumor-free equilibrium is always stable, whereas, under certain conditions, the tumor-dominant and interior equilibrium are asymptotically stable. Moreover, stable and unstable limit cycles and period-doubling bifurcation have been observed at the interior equilibrium point. A remarkable result has been observed: in the presence of a saturated response of M2 macrophages, with a relatively higher activation rate of M2 macrophages due to tumor cells, the disease spreads more quickly in the body. Hence, M1 macrophages cannot stabilize the system, and aperiodic oscillations are observed. Furthermore, we show that a better immune response can reverse that system’s unstable nature. Numerical simulations verify the analytical results.

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用于探索 M2 巨噬细胞饱和反应的肿瘤生长数学模型
本研究针对肿瘤-巨噬细胞相互作用模型,研究了 M2 巨噬细胞饱和反应的作用。我们找到了模型的平衡点,并分析了每个平衡点的局部稳定性。我们的研究表明,无肿瘤平衡始终是稳定的,而在某些条件下,肿瘤主导平衡和内部平衡是渐近稳定的。此外,在内部平衡点还观察到了稳定和不稳定的极限循环和周期加倍分岔。一个显著的结果是:在 M2 巨噬细胞反应饱和的情况下,由于肿瘤细胞导致 M2 巨噬细胞的活化率相对较高,疾病在体内的传播速度更快。因此,M1 巨噬细胞无法稳定系统,从而出现非周期性振荡。此外,我们还证明,更好的免疫反应可以扭转该系统的不稳定性。数值模拟验证了分析结果。
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来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
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