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病毒应该有多“黏”?以流感为例,探讨病毒结合与释放对传播适应性的影响。

How sticky should a virus be? The impact of virus binding and release on transmission fitness using influenza as an example.

机构信息

Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, , Athens, GA 30602, USA.

出版信息

J R Soc Interface. 2014 Jan 15;11(92):20131083. doi: 10.1098/rsif.2013.1083. Print 2014 Mar 6.

Abstract

Budding viruses face a trade-off: virions need to efficiently attach to and enter uninfected cells while newly generated virions need to efficiently detach from infected cells. The right balance between attachment and detachment-the right amount of stickiness-is needed for maximum fitness. Here, we design and analyse a mathematical model to study in detail the impact of attachment and detachment rates on virus fitness. We apply our model to influenza, where stickiness is determined by a balance of the haemagglutinin (HA) and neuraminidase (NA) proteins. We investigate how drugs, the adaptive immune response and vaccines impact influenza stickiness and fitness. Our model suggests that the location in the 'stickiness landscape' of the virus determines how well interventions such as drugs or vaccines are expected to work. We discuss why hypothetical NA enhancer drugs might occasionally perform better than the currently available NA inhibitors in reducing virus fitness. We show that an increased antibody or T-cell-mediated immune response leads to maximum fitness at higher stickiness. We further show that antibody-based vaccines targeting mainly HA or NA, which leads to a shift in stickiness, might reduce virus fitness above what can be achieved by the direct immunological action of the vaccine. Overall, our findings provide potentially useful conceptual insights for future vaccine and drug development and can be applied to other budding viruses beyond influenza.

摘要

萌芽病毒面临着权衡取舍

病毒粒子需要有效地附着在未感染的细胞上并进入细胞,同时新生成的病毒粒子需要有效地从感染的细胞上脱离。附着和脱离的平衡——即适当的粘性——对于最大适应性至关重要。在这里,我们设计并分析了一个数学模型,以详细研究附着和脱离速率对病毒适应性的影响。我们将我们的模型应用于流感,其中粘性由血凝素 (HA) 和神经氨酸酶 (NA) 蛋白之间的平衡决定。我们研究了药物、适应性免疫反应和疫苗如何影响流感的粘性和适应性。我们的模型表明,病毒在“粘性景观”中的位置决定了药物或疫苗等干预措施的预期效果。我们讨论了为什么假设的 NA 增强剂药物偶尔可能比目前可用的 NA 抑制剂在降低病毒适应性方面表现更好。我们表明,增加抗体或 T 细胞介导的免疫反应会导致更高粘性下的最大适应性。我们进一步表明,针对主要针对 HA 或 NA 的基于抗体的疫苗,会导致粘性发生变化,可能会降低病毒适应性,超过疫苗的直接免疫作用所能达到的水平。总的来说,我们的研究结果为未来疫苗和药物的开发提供了潜在有用的概念性见解,并可应用于流感以外的其他萌芽病毒。

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本文引用的文献

1
Multiscale modeling of influenza A virus infection supports the development of direct-acting antivirals.
PLoS Comput Biol. 2013;9(11):e1003372. doi: 10.1371/journal.pcbi.1003372. Epub 2013 Nov 21.
2
A multi-scale analysis of influenza A virus fitness trade-offs due to temperature-dependent virus persistence.
PLoS Comput Biol. 2013;9(3):e1002989. doi: 10.1371/journal.pcbi.1002989. Epub 2013 Mar 21.
4
Defining influenza A virus hemagglutinin antigenic drift by sequential monoclonal antibody selection.
Cell Host Microbe. 2013 Mar 13;13(3):314-23. doi: 10.1016/j.chom.2013.02.008.
5
Assessing mathematical models of influenza infections using features of the immune response.
PLoS One. 2013;8(2):e57088. doi: 10.1371/journal.pone.0057088. Epub 2013 Feb 28.
6
The evolutionary dynamics of receptor binding avidity in influenza A: a mathematical model for a new antigenic drift hypothesis.
Philos Trans R Soc Lond B Biol Sci. 2013 Feb 4;368(1614):20120204. doi: 10.1098/rstb.2012.0204. Print 2013 Mar 19.
7
Influenza A virus entry inhibitors targeting the hemagglutinin.
Viruses. 2013 Jan 22;5(1):352-73. doi: 10.3390/v5010352.

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