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了解和预测啮齿动物疟原虫——查巴迪疟原虫致病的菌株特异性模式。

Understanding and predicting strain-specific patterns of pathogenesis in the rodent malaria Plasmodium chabaudi.

作者信息

Mideo Nicole, Barclay Victoria C, Chan Brian H K, Savill Nicholas J, Read Andrew F, Day Troy

机构信息

Department of Biology, Queen's University, Kingston, Ontario K7L3N6,

出版信息

Am Nat. 2008 Nov;172(5):214-38. doi: 10.1086/591684.

Abstract

Despite considerable success elucidating important immunological and resource-based mechanisms that control the dynamics of infection in some diseases, little is known about how differences in these mechanisms result in strain differences in patterns of pathogenesis. Using a combination of data and theory, we disentangle the role of ecological factors (e.g., resource abundance) in the dynamics of pathogenesis for the malaria species Plasmodium chabaudi in CD4+ T cell-depleted mice. We build a series of nested models to systematically test a number of potential regulatory mechanisms and determine the "best" model using statistical techniques. The best-fit model is further tested using an independent data set from mixed-clone competition experiments. We find that parasites preferentially invade older red blood cells even when they are more fecund in younger reticulocytes and that inoculum size has a strong effect on burst size in reticulocytes. Importantly, the results suggest that strain-specific differences in virulence arise from differences in red blood cell age-specific invasion rates and burst sizes, since these are lower for the less virulent strain, as well as from differences in levels of erythropoesis induced by each strain. Our analyses highlight the importance of model selection and validation for revealing new biological insights.

摘要

尽管在阐明控制某些疾病感染动态的重要免疫和基于资源的机制方面取得了相当大的成功,但对于这些机制的差异如何导致发病模式的菌株差异却知之甚少。我们结合数据和理论,剖析了生态因素(如资源丰度)在CD4 + T细胞耗竭小鼠中查巴迪疟原虫发病动态中的作用。我们构建了一系列嵌套模型,以系统地测试多种潜在的调控机制,并使用统计技术确定“最佳”模型。使用来自混合克隆竞争实验的独立数据集对最佳拟合模型进行进一步测试。我们发现,即使寄生虫在较年轻的网织红细胞中繁殖力更强,它们也优先侵入较老的红细胞,并且接种量对网织红细胞中的爆发大小有很强的影响。重要的是,结果表明,毒力的菌株特异性差异源于红细胞年龄特异性侵入率和爆发大小的差异,因为毒性较小的菌株的这些指标较低,也源于各菌株诱导的红细胞生成水平的差异。我们的分析强调了模型选择和验证对于揭示新的生物学见解的重要性。

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