巨噬细胞在溶瘤病毒的持续和消除中的作用的数学模型

IF 0.4 Q4 MATHEMATICS, APPLIED
Nada Almuallem, R. Eftimie
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引用次数: 3

摘要

复制溶瘤病毒为癌症提供了有前景的治疗策略。然而,这些病毒疗法的成功主要取决于病毒颗粒和宿主免疫细胞之间的复杂相互作用。在这些免疫细胞中,巨噬细胞是抵御病毒感染的第一道防线之一。在本文中,我们考虑了一个数学模型,该模型描述了一种常用的溶瘤病毒——水泡性口炎病毒(VSV)和两种极端类型的巨噬细胞之间的相互作用:促炎M1细胞(似乎可以抵抗VSV感染)和抗炎M2细胞(可以感染VSV)。我们首先证明了这个微分方程模型有界解的存在性。然后,我们通过关注稳态和极限环来研究模型的长期行为,并研究当我们改变不同的模型参数时这种长期动力学的变化。此外,通过敏感性分析,我们发现对系统中病毒颗粒水平影响最大的参数是病毒爆发大小(来自受感染的巨噬细胞)、病毒感染率、M1$\~$M2极化率和M1诱导的抗病毒免疫。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A mathematical model for the role of macrophages in the persistence and elimination of oncolytic viruses
Replicating oncolytic viruses provide promising treatment strategies against cancer. However, the success of these viral therapies depends mainly on the complex interactions between the virus particles and the host immune cells. Among these immune cells, macrophages represent one of the first line of defence against viral infections. In this paper, we consider a mathematical model that describes the interactions between a commonly-used oncolytic virus, the Vesicular Stomatitis Virus (VSV), and two extreme types of macrophages: the pro-inflammatory M1 cells (which seem to resist infection with VSV) and the anti-inflammatory M2 cells (which can be infected with VSV). We first show the existence of bounded solutions for this differential equations model. Then we investigate the long-term behaviour of the model by focusing on steady states and limit cycles, and study changes in this long-term dynamics as we vary different model parameters. Moreover, through sensitivity analysis we show that the parameters that have the highest impact on the level of virus particles in the system are the viral burst size (from infected macrophages), the virus infection rate, the M1$\to$M2 polarisation rate, and the M1-induced anti-viral immunity. 
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来源期刊
CiteScore
1.40
自引率
0.00%
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审稿时长
21 weeks
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