Alizon Samuel, van Baalen Minus
Ecole Normale Supérieure, Unité Mixte de Recherche 7625 Fonctionnement et Evolution des Systèmes Ecologiques, Paris F-75005, France.
Am Nat. 2008 Dec;172(6):E244-56. doi: 10.1086/592404.
There is ample theoretical and experimental evidence that virulence evolution depends on the immune response of the host. In this article, we review a number of recent studies that attempt to explicitly incorporate the dynamics of the immune system (instead of merely representing it by a single black box parameter) in models for the evolution of parasite virulence. A striking observation is that the type of infection (acute or chronic) is invariably considered to be a constraint that model assumptions have to satisfy rather than as a potential outcome of the interaction of the parasite with its host's immune system. We argue that avoiding making assumptions about the type of infection will lead to a better understanding of infectious diseases, even though a number of fundamental and technical problems remain. Dynamical modeling of the immune system opens a wide range of perspectives: for understanding how the immune system eradicates a parasite (which it does for most pathogens but not for all, HIV being a notorious example of a virus that is not completely eliminated), for studying multiple infections through concomitant immunity, for understanding the emergence and evolution of the immune system in animals, and for evolutionary epidemiology in general (e.g., predicting evolutionary consequences of new therapies and public health policies). We conclude by discussing new approaches based on embedded (or nested) models and identify future perspectives for the modeling of infectious diseases.
有充分的理论和实验证据表明,毒力进化取决于宿主的免疫反应。在本文中,我们回顾了一些近期的研究,这些研究试图在寄生虫毒力进化模型中明确纳入免疫系统的动态变化(而不是仅仅用一个单一的黑箱参数来表示它)。一个显著的观察结果是,感染类型(急性或慢性)总是被视为模型假设必须满足的一个限制因素,而不是寄生虫与其宿主免疫系统相互作用的潜在结果。我们认为,避免对感染类型做出假设将有助于更好地理解传染病,尽管仍存在一些基本和技术问题。免疫系统的动态建模开启了广泛的视角:用于理解免疫系统如何根除寄生虫(大多数病原体是这样,但并非所有病原体都是如此,艾滋病毒就是一种臭名昭著的未被完全清除的病毒),用于通过伴随免疫研究多重感染,用于理解动物免疫系统的出现和进化,以及用于一般的进化流行病学(例如,预测新疗法和公共卫生政策的进化后果)。我们通过讨论基于嵌入式(或嵌套式)模型的新方法来得出结论,并确定传染病建模的未来前景。