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首页> 外文期刊>Parasitology >Optimality analysis of Th1/Th2 immune responses during microparasite-macroparasite co-infection, with epidemiological feedbacks.
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Optimality analysis of Th1/Th2 immune responses during microparasite-macroparasite co-infection, with epidemiological feedbacks.

机译：寄生虫-宏寄生虫共感染期间Th1 / Th2免疫反应的最佳分析，并具有流行病学反馈。

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摘要

Individuals are typically co-infected by a diverse community of microparasites (e.g. viruses or protozoa) and macroparasites (e.g. helminths). Vertebrates respond to these parasites differently, typically mounting T helper type 1 (Th1) responses against microparasites and Th2 responses against macroparasites. These two responses may be antagonistic such that hosts face a 'decision' of how to allocate potentially limiting resources. Such decisions at the individual host level will influence parasite abundance at the population level which, in turn, will feed back upon the individual level. We take a first step towards a complete theoretical framework by placing an analysis of optimal immune responses under microparasite-macroparasite co-infection within an epidemiological framework. We show that the optimal immune allocation is quantitatively sensitive to the shape of the trade-off curve and qualitatively sensitive to life-history traits of the host, microparasite and macroparasite. This model represents an important first step in placing optimality models of the immune response to co-infection into an epidemiological framework. Ultimately, however, a more complete framework is needed to bring together the optimal strategy at the individual level and the population-level consequences of those responses, before we can truly understand the evolution of host immune responses under parasite co-infection.
机译：个体通常被微寄生虫（例如病毒或原生动物）和大寄生虫（例如蠕虫）的多样性共同感染。脊椎动物对这些寄生虫的反应不同，通常针对微寄生虫的T辅助型1（Th1）反应和针对大寄生虫的Th2反应。这两个响应可能是对抗性的，以使主机面临如何分配潜在限制资源的“决定”。在个体宿主水平上的此类决定将影响种群水平上的寄生虫丰度，从而反过来在个体水平上反馈。我们通过在流行病学框架内对微寄生虫-宏寄生虫共感染下的最佳免疫反应进行分析，朝着完整的理论框架迈出了第一步。我们表明，最佳的免疫分配对权衡曲线的形状在数量上敏感，对宿主，微寄生虫和大寄生虫的生活史特征在质量上敏感。该模型代表了将针对共感染的免疫反应的最佳模型置于流行病学框架中的重要第一步。但是，最终，我们需要一个更完整的框架，以在个体层面和这些反应的人群层面后果中整合最佳策略，然后才能真正了解寄生虫共感染下宿主免疫反应的演变。

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