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细胞因子风暴的数学模型

Mathematical model of a cytokine storm.

作者信息

Kareva Irina, Berezovskaya Faina, Karev Georgy

机构信息

Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ, 85287, USA.

Department of Mathematics, Howard University, Washington, DC, 20059.

出版信息

bioRxiv. 2022 Feb 16:2022.02.15.480585. doi: 10.1101/2022.02.15.480585.

Abstract

Cytokine storm is a life-threatening inflammatory response that is characterized by hyperactivation of the immune system, and which can be caused by various therapies, autoimmune conditions, or pathogens, such as respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease COVID-19. While initial causes of cytokine storms can vary, late-stage clinical manifestations of cytokine storm converge and often overlap, and therefore a better understanding of how normal immune response turns pathological is warranted. Here we propose a theoretical framework, where cytokine storm phenomenology is captured using a conceptual mathematical model, where cytokines can both activate and regulate the immune system. We simulate normal immune response to infection, and through variation of system parameters identify conditions where, within the frameworks of this model, cytokine storm can arise. We demonstrate that cytokine storm is a transitional regime, and identify three main factors that must converge to result in storm-like dynamics, two of which represent individual-specific characteristics, thereby providing a possible explanation for why some people develop CRS, while others may not. We also discuss possible ecological insights into cytokine-immune interactions and provide mathematical analysis for the underlying regimes. We conclude with a discussion of how results of this analysis can be used in future research.

摘要

细胞因子风暴是一种危及生命的炎症反应,其特征是免疫系统过度激活,可由各种疗法、自身免疫性疾病或病原体引起,如导致冠状病毒病COVID-19的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)。虽然细胞因子风暴的初始病因可能各不相同,但其晚期临床表现趋于一致且常常重叠,因此有必要更好地了解正常免疫反应是如何转变为病理性的。在此,我们提出一个理论框架,使用一个概念性数学模型来描述细胞因子风暴现象学,在该模型中细胞因子既能激活免疫系统,也能调节免疫系统。我们模拟了对感染的正常免疫反应,并通过改变系统参数确定在该模型框架内可能出现细胞因子风暴的条件。我们证明细胞因子风暴是一种过渡状态,并确定了三个必须同时出现才能导致类似风暴动态的主要因素,其中两个代表个体特异性特征,从而为为什么有些人会发生细胞因子释放综合征而有些人可能不会提供了一种可能的解释。我们还讨论了对细胞因子 - 免疫相互作用的可能生态学见解,并对潜在状态进行了数学分析。最后,我们讨论了如何将该分析结果应用于未来的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dd1/8863152/4bf5ddef7af3/nihpp-2022.02.15.480585v1-f0003.jpg

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