模拟病毒合并感染时的旁观者效应

IF 1.9 4区 数学 Q2 BIOLOGY
Zakarya Noffel , Hana M. Dobrovolny
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引用次数: 0

摘要

在因流感样病症住院的患者中,病毒合并感染占了很大一部分。随着我们对病毒合并感染认识的提高,研究人员开始通过实验研究这些感染背后的一些病毒-病毒相互作用。病毒之间相互作用的机制之一是通过先天性免疫反应。这似乎主要是通过干扰素反应发生的,干扰素反应会在附近未感染细胞中产生抗病毒状态,这种现象被称为旁观者效应。在这里,我们建立了一个两种病毒通过旁观者效应相互作用的数学模型。我们发现,当细胞进入受保护状态的清除率较高时,第一种病毒的生长受到抑制,而第二种病毒则可以单独进入受保护的细胞,从而促进其生长。相反,如果第二种病毒感染受保护细胞的能力受到限制,它的生长就会受到完全抑制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the bystander effect during viral coinfection

Viral coinfections are responsible for a significant portion of cases of patients hospitalized with influenza-like illness. As our awareness of viral coinfections has increased, researchers have started to experimentally examine some of the virus–virus interactions underlying these infections. One mechanism of interaction between viruses is through the innate immune response. This seems to occur primarily through the interferon response, which generates an antiviral state in nearby uninfected cells, a phenomenon know as the bystander effect. Here, we develop a mathematical model of two viruses interacting through the bystander effect. We find that when the rate of removal of cells to the protected state is high, growth of the first virus is suppressed, while the second virus enjoys sole access to the protected cells, enhancing its growth. Conversely, growth of the second virus can be fully suppressed if its ability to infect the protected cells is limited.

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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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