School of Public Health, The University of Hong Kong, Level 6, Core F, Cyberport 3, 100 Cyberport Road, Hong Kong.
J Theor Biol. 2013 Jul 21;329:32-8. doi: 10.1016/j.jtbi.2013.03.027. Epub 2013 Apr 6.
High evolvability of influenza virus and the complex nature of its antagonistic interaction with the host immune system make it difficult to predict which strain of virus will become epidemic next and when it will emerge. To investigate the most likely time at which a new successful strain emerges every year in seasonal influenza, we use an individual-based model that takes into account the seasonality in transmission rate and host cross-immunity against a current viral strain due to previous infections with other strains. Our model deals with antigenic evolution of influenza virus that originated by point mutations at amino acid sites that constitute epitope and is driven by host immune response. Under the range of parameters by which influenza virus shows a "trunk" shape in its phylogenetic tree, as is typical in influenza A virus evolution, we find that most successful mutant strains emerge in an early part of the epidemic season, and that the time when the number of infected hosts reaches a maximum tends to be more than one season after viral emergence. This carryover of the epidemic peak timing implies that we can predict the strain that will become dominant in the epidemic in the following year.
流感病毒具有高度的可变性,其与宿主免疫系统的相互作用也非常复杂,这使得我们难以预测下一个流行的病毒株是什么,以及它何时会出现。为了研究季节性流感中每年新出现的成功病毒株最有可能出现的时间,我们使用了一种基于个体的模型,该模型考虑了由于先前感染其他株而导致的传播率季节性变化和针对当前病毒株的宿主交叉免疫。我们的模型处理了流感病毒的抗原进化,这种进化是由构成表位的氨基酸位点的点突变引起的,并且受到宿主免疫反应的驱动。在流感病毒在系统发育树上呈现“主干”形状的参数范围内(这在流感 A 病毒进化中很常见),我们发现大多数成功的突变株在流行季节的早期出现,并且感染宿主数量达到最大值的时间往往超过病毒出现后的一个季节。这种流行高峰期时间的延迟意味着我们可以预测下一年流行中占主导地位的病毒株。