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建立包含免疫反应的流感病毒感染个体内动力学模型。

Modeling within-host dynamics of influenza virus infection including immune responses.

机构信息

Department of Mathematics and Statistics, Oakland University, Rochester, Michigan, United States of America.

出版信息

PLoS Comput Biol. 2012;8(6):e1002588. doi: 10.1371/journal.pcbi.1002588. Epub 2012 Jun 28.

Abstract

Influenza virus infection remains a public health problem worldwide. The mechanisms underlying viral control during an uncomplicated influenza virus infection are not fully understood. Here, we developed a mathematical model including both innate and adaptive immune responses to study the within-host dynamics of equine influenza virus infection in horses. By comparing modeling predictions with both interferon and viral kinetic data, we examined the relative roles of target cell availability, and innate and adaptive immune responses in controlling the virus. Our results show that the rapid and substantial viral decline (about 2 to 4 logs within 1 day) after the peak can be explained by the killing of infected cells mediated by interferon activated cells, such as natural killer cells, during the innate immune response. After the viral load declines to a lower level, the loss of interferon-induced antiviral effect and an increased availability of target cells due to loss of the antiviral state can explain the observed short phase of viral plateau in which the viral level remains unchanged or even experiences a minor second peak in some animals. An adaptive immune response is needed in our model to explain the eventual viral clearance. This study provides a quantitative understanding of the biological factors that can explain the viral and interferon kinetics during a typical influenza virus infection.

摘要

流感病毒感染仍然是全球公共卫生问题。在没有并发症的流感病毒感染中,病毒控制的机制尚未完全阐明。在这里,我们开发了一个数学模型,包括先天和适应性免疫反应,以研究马流感病毒感染的宿主内动力学。通过将模型预测与干扰素和病毒动力学数据进行比较,我们研究了靶细胞可用性以及先天和适应性免疫反应在控制病毒方面的相对作用。我们的结果表明,在先天免疫反应中,干扰素激活的细胞(如自然杀伤细胞)介导感染细胞的杀伤,可解释病毒在峰值后迅速大量减少(在 1 天内减少约 2 到 4 个对数)。在病毒载量下降到较低水平后,由于抗病毒状态的丧失导致干扰素诱导的抗病毒作用丧失和靶细胞可用性增加,可以解释观察到的病毒平台的短暂阶段,其中病毒水平保持不变,甚至在某些动物中经历轻微的第二次高峰。我们的模型需要适应性免疫反应来解释最终的病毒清除。本研究提供了对可解释典型流感病毒感染期间病毒和干扰素动力学的生物学因素的定量理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d75/3386161/cb0d00373e10/pcbi.1002588.g001.jpg

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