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甲型流感病毒感染动力学:定量数据和模型。

Influenza A virus infection kinetics: quantitative data and models.

机构信息

Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA.

出版信息

Wiley Interdiscip Rev Syst Biol Med. 2011 Jul-Aug;3(4):429-45. doi: 10.1002/wsbm.129. Epub 2010 Dec 31.

Abstract

Influenza A virus is an important respiratory pathogen that poses a considerable threat to public health each year during seasonal epidemics and even more so when a pandemic strain emerges. Understanding the mechanisms involved in controlling an influenza infection within a host is important and could result in new and effective treatment strategies. Kinetic models of influenza viral growth and decay can summarize data and evaluate the biological parameters governing interactions between the virus and the host. Here we discuss recent viral kinetic models for influenza. We show how these models have been used to provide insight into influenza pathogenesis and treatment, and we highlight the challenges of viral kinetic analysis, including accurate model formulation, estimation of important parameters, and the collection of detailed data sets that measure multiple variables simultaneously. WIREs Syst Biol Med 2011 3 429-445 DOI: 10.1002/wsbm.129

摘要

甲型流感病毒是一种重要的呼吸道病原体,每年在季节性流行期间对公众健康构成相当大的威胁,而当出现大流行株时更是如此。了解宿主中控制流感感染的机制非常重要,这可能会产生新的有效治疗策略。流感病毒生长和衰减的动力学模型可以总结数据并评估控制病毒与宿主相互作用的生物学参数。本文讨论了最近的流感病毒动力学模型。我们展示了这些模型如何用于深入了解流感的发病机制和治疗方法,并强调了病毒动力学分析的挑战,包括准确的模型构建、重要参数的估计以及同时测量多个变量的详细数据集的收集。

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