Eden John-Sebastian, Chisholm Rebecca H, Bull Rowena A, White Peter A, Holmes Edward C, Tanaka Mark M
Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences, and Sydney Medical School, The University of Sydney, Sydney, NSW 2006, Australia.
Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, NSW 2145, Australia.
Virus Evol. 2017 Jul 28;3(2):vex018. doi: 10.1093/ve/vex018. eCollection 2017 Jul.
Many viruses, including human norovirus and influenza, cause self-limiting diseases of short duration. However, infection by the same viruses in an immunocompromised host can result in prolonged illness in the absence of effective treatment. Such persistent infections are often characterized by increased genetic diversity with potentially elevated rates of evolution compared to acute infections, leading to suggestions that immunocompromised hosts represent an important reservoir for the emergence of novel viral variants. Here, we develop a mathematical model that combines epidemiological dynamics with within-host evolution to quantify the relative contribution of immunocompromised hosts to the overall rate of pathogen evolution. Using human norovirus as a case study we show that the majority of evolutionary substitutions are expected to occur in acute infections of immunocompetent hosts. Hence, despite their potential to generate a high level of diversity, infections of immunocompromised hosts likely contribute less to the evolution and emergence of new genetic variants at the epidemiological scale because such hosts are rare and tend to be isolated. This result is robust to variation in key parameters, including the proportion of the population immunocompromised, and provides a means to understand the adaptive significance of mutations that arise during chronic infections in immunocompromised hosts.
许多病毒,包括人类诺如病毒和流感病毒,都会引发病程短暂的自限性疾病。然而,在免疫功能低下的宿主中,相同病毒的感染若没有有效的治疗,可能会导致病程延长。与急性感染相比,此类持续性感染的特点通常是遗传多样性增加,进化速率可能升高,这表明免疫功能低下的宿主是新型病毒变体出现的重要储存库。在此,我们构建了一个数学模型,将流行病学动态与宿主体内进化相结合,以量化免疫功能低下的宿主对病原体总体进化速率的相对贡献。以人类诺如病毒为例,我们发现大多数进化替代预计发生在免疫功能正常宿主的急性感染中。因此,尽管免疫功能低下的宿主有产生高度多样性的潜力,但在流行病学层面,此类宿主的感染对新遗传变体的进化和出现的贡献可能较小,因为这类宿主较为罕见且往往处于隔离状态。这一结果对于关键参数的变化具有稳健性,这些参数包括免疫功能低下人群的比例,并且为理解免疫功能低下宿主慢性感染期间出现的突变的适应性意义提供了一种方法。