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宿主体内和宿主间抵御线虫防御异质性的原因及后果。

Causes and consequences of intra- and inter-host heterogeneity in defence against nematodes.

作者信息

Hayward A D

机构信息

Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.

出版信息

Parasite Immunol. 2013 Nov;35(11):362-73. doi: 10.1111/pim.12054.

Abstract

Despite strong natural and artificial selection for increased resistance to nematode parasites, there is considerable heterogeneity between hosts in human, livestock and wildlife populations, with a minority of hosts carrying the majority of parasites. In addition, levels of defence may vary across the lifespan of individuals due to changes in their physiological state and infection history. Such variation influences nematode transmission dynamics and the evolution of parasite life-history strategies. Therefore, identifying sources of between- and within-individual variation in resistance and predicting their consequences is crucial for understanding the epidemiology of nematode parasitic diseases. In this review, several key sources of variation are identified, using examples from mouse models, immuno-epidemiological studies of human populations and observational and experimental studies of wildlife and livestock. The mutual applicability of approaches used across these study systems is emphasized, with the assertion that the concerted efforts of researchers from a range of disciplines will enable us to better understand the proximate and ultimate causes of variation in defence against nematode parasites. This will facilitate predictions of the epidemiological and evolutionary consequences of this variation, with the potential to improve disease treatment and management.

摘要

尽管为增强对线虫寄生虫的抗性进行了强大的自然选择和人工选择,但人类、家畜和野生动物群体中的宿主之间仍存在相当大的异质性,少数宿主携带了大多数寄生虫。此外,由于个体生理状态和感染史的变化,其防御水平可能在整个生命周期中有所不同。这种变异影响线虫传播动态和寄生虫生活史策略的演变。因此,识别个体间和个体内抗性变异的来源并预测其后果,对于理解线虫寄生虫病的流行病学至关重要。在本综述中,利用小鼠模型、人群免疫流行病学研究以及野生动物和家畜的观察性和实验性研究中的实例,确定了几个关键的变异来源。强调了这些研究系统中所使用方法的相互适用性,并断言来自一系列学科的研究人员的共同努力将使我们能够更好地理解对线虫寄生虫防御变异的直接和最终原因。这将有助于预测这种变异的流行病学和进化后果,有可能改善疾病的治疗和管理。

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