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疟疾感染动态变化的原因:理论与数据的见解。

Causes of variation in malaria infection dynamics: insights from theory and data.

机构信息

Centre for Immunity, Infection and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom.

Institute of Immunity and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom.

出版信息

Am Nat. 2011 Dec;178(6):E174-E188. doi: 10.1086/662670. Epub 2011 Oct 26.

Abstract

Parasite strategies for exploiting host resources are key determinants of disease severity (i.e., virulence) and infectiousness (i.e., transmission between hosts). By iterating the development of theory and empirical tests, we investigated whether variation in parasite traits across two genetically distinct clones of the rodent malaria parasite, Plasmodium chabaudi, explains differences in within-host infection dynamics and virulence. First, we experimentally tested key predictions of our earlier modeling work. As predicted, the more virulent genotype produced more progeny parasites per infected cell (burst size), but in contrast to predictions, invasion rates of red blood cells (RBCs) did not differ between the genotypes studied. Second, we further developed theory by confronting our earlier model with these new data, testing a new set of models that incorporate more biological realism, and developing novel theoretical tools for identifying differences between parasite genotypes. Overall, we found robust evidence that differences in burst sizes contribute to variation in dynamics and that differential interactions between parasites and host immune responses also play a role. In contrast to previous work, our model predicts that RBC age structure is not important for explaining dynamics. Integrating theory and empirical tests is a potentially powerful way of progressing understanding of disease biology.

摘要

寄生虫利用宿主资源的策略是决定疾病严重程度(即毒力)和传染性(即宿主之间的传播)的关键因素。通过反复进行理论发展和实证检验,我们研究了两种不同遗传克隆的啮齿动物疟原虫(Plasmodium chabaudi)寄生虫特征的变化是否可以解释其体内感染动力学和毒力的差异。首先,我们对之前的模型工作进行了实验测试。正如预测的那样,毒性更强的基因型每感染一个细胞产生的寄生虫后代(爆发规模)更多,但与预测相反,我们研究的两种基因型的红细胞(RBC)入侵率没有差异。其次,我们通过将早期模型与这些新数据进行对比,进一步发展了理论,测试了一组包含更多生物学现实的新模型,并开发了用于识别寄生虫基因型差异的新理论工具。总的来说,我们有确凿的证据表明,爆发规模的差异导致了动力学的变化,而且寄生虫与宿主免疫反应之间的差异相互作用也起了作用。与之前的工作不同,我们的模型预测红细胞年龄结构对解释动力学不重要。整合理论和实证检验是深入了解疾病生物学的一种潜在有力方法。

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