Introducing a framework for within-host dynamics and mutations modelling of H5N1 influenza infection in humans

Daniel Higgins, Joshua Looker, Robert Sunnucks, Jonathan Carruthers, Thomas Finnie, Matt J. Keeling, Edward M. Hill
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Abstract

Avian influenza A(H5N1) poses a risk to public health due to its pandemic potential should the virus mutate to become human-to-human transmissible. To date, reported influenza A(H5N1) human cases have typically occurred in the lower respiratory tract with a high case fatality rate. There is prior evidence of some influenza A(H5N1) strains being just five amino acid mutations away from achieving droplet transmissibility, possibly allowing them to be spread between humans. Three of these amino acid mutations must occur within a single human host, though the exact probability of such mutations occurring is not currently known. Here, we present a mechanistic within-host infection model for influenza A(H5N1), novel for its explicit consideration of the biological differences between the upper and lower respiratory tracts. These developments enable us to estimate a distribution of viral lifespans and effective replication rates in human H5N1 influenza cases. We combine our within-host model with a viral mutation model to determine the probability of an infected individual generating a droplet transmissible strain of influenza A(H5N1) through mutation. For three required mutations, we found a peak probability of approximately 10−3 that a human case of H5N1 influenza produces at least one virion during the infectious period. Our findings provide insights into the risk of differing infectious pathways of influenza A(H5N1) (namely the avian-human vs the avian-mammal-human routes), demonstrating the three-mutation pathway being a cause of concern in human cases. Additionally, our framework - combining a within-host infection model with a branching process model for viral mutation - is generalisable to other pathogens, allowing mutation probabilities to be more easily ascertained. Our findings are a starting point for further modelling of influenza A(H5N1) and other pathogens where differing tissue susceptibilities and human-to-human transmission is of concern.
引入人类感染 H5N1 流感的宿主内动力学和突变建模框架
甲型禽流感(H5N1)病毒一旦变异成为可在人与人之间传播的病毒,就有可能造成大流行,从而对公共卫生构成威胁。迄今为止,报告的人类甲型 H5N1 流感病例通常发生在下呼吸道,病死率很高。先前有证据表明,一些甲型 H5N1 流感病毒株只差五个氨基酸突变就能实现飞沫传染,从而有可能在人与人之间传播。其中三个氨基酸突变必须发生在单个人类宿主体内,但目前尚不清楚发生这种突变的确切概率。在此,我们提出了甲型 H5N1 流感的宿主内感染机理模型,该模型明确考虑了上呼吸道和下呼吸道之间的生物差异,具有新颖性。这些发展使我们能够估计人类 H5N1 流感病例中病毒寿命和有效复制率的分布情况。我们将宿主内模型与病毒变异模型相结合,以确定感染者通过变异产生可飞沫传播的甲型 H5N1 流感病毒株的概率。对于三种所需的突变,我们发现人感染 H5N1 流感病例在感染期间产生至少一个病毒株的峰值概率约为 10-3。我们的研究结果提供了对甲型 H5N1 流感不同感染途径(即禽-人途径和禽-哺乳动物-人途径)风险的见解,表明在人类病例中,三种突变途径是一个值得关注的原因。此外,我们的框架--将宿主内感染模型与病毒变异的分支过程模型相结合--可推广到其他病原体,从而更容易确定变异概率。我们的研究结果是进一步建立甲型 H5N1 流感和其他病原体模型的起点,在这些病原体中,不同的组织易感性和人际传播是值得关注的问题。
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