Lover Andrew A, Coker Richard J
Infectious Diseases Programme, Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore; Malaria Elimination Initiative, Global Health Group, University of California, San Francisco, USA.
Infectious Diseases Programme, Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore; London School of Hygiene and Tropical Medicine, Bangkok, Thailand.
Infect Genet Evol. 2015 Dec;36:82-91. doi: 10.1016/j.meegid.2015.08.041. Epub 2015 Aug 31.
Malaria parasites within an individual infection often consist of multiple strains (clonal populations) of a single species, which have the potential to interact both with one another, and with the host immune system. Several effects of these interactions have been measured in different parasite systems including competition and mutualism; however, direct observation of these effects in human malaria has been limited by sampling complexities and inherent ethical limitations.
Using multiple complementary epidemiological models, we propose a suite of analyses to more fully utilize data from challenge experiments, and re-examine historical human challenge studies with mixed-strain Plasmodium vivax inocula. We then compare these results with murine model systems using mixed-strain Plasmodium yoelii or Plasmodium chabaudi, to explore the utility of these methods in fully utilizing these data, including the first quantitative estimates of effect sizes for mixed-strain parasitemia. These models also provide a method to assess consistency within these animal model systems.
We find that amongst a limited set of P. vivax (incubation time) and P. yoelii infections (time-to-mortality), survival times at a study population-level are intermediate between each single-clone infection, and are not dominated by the more virulent clone; in P. vivax relapses, mixed clone infections also show intermediate survival curves. In these infections, the results strongly suggest that highly virulent clones have their virulence attenuated by the presence of less-virulent clones. The analysis of multiple experiments with P. chabaudi suggests greater nuances in the interactions between strains, and that mortality and time-to-event in mixed-strain infections are both indistinguishable from single infections with the more virulent strain.
These divergent dynamics support earlier work that suggested drivers of virulence may differ in fundamental ways between malaria species that are reticulocyte-specific and those that readily infect all red blood cell stages which should be studied in greater detail. The effect sizes (magnitude of biological effects) from these analyses are significant, and suggest the potential for important gains in malaria control by greater incorporation of evolutionary epidemiology theory. Moreover, we suggest that using these epidemiological models may generally allow fuller use of data from experimentally challenging animal model experiments.
个体感染中的疟原虫通常由单一物种的多个菌株(克隆群体)组成,这些菌株有可能相互作用,也有可能与宿主免疫系统相互作用。在不同的寄生虫系统中已经测量了这些相互作用的几种效应,包括竞争和共生;然而,在人类疟疾中直接观察这些效应受到采样复杂性和内在伦理限制的制约。
我们使用多种互补的流行病学模型,提出了一套分析方法,以更充分地利用来自挑战实验的数据,并重新审视使用混合菌株间日疟原虫接种物的历史人类挑战研究。然后,我们将这些结果与使用混合菌株约氏疟原虫或查巴迪疟原虫的小鼠模型系统进行比较,以探索这些方法在充分利用这些数据方面的效用,包括对混合菌株寄生虫血症效应大小的首次定量估计。这些模型还提供了一种评估这些动物模型系统内一致性的方法。
我们发现,在一组有限的间日疟原虫(潜伏期)和约氏疟原虫感染(致死时间)中,研究人群水平的存活时间介于每种单克隆感染之间,且不受毒性更强的克隆主导;在间日疟原虫复发中,混合克隆感染也显示出中间存活曲线。在这些感染中,结果强烈表明,高毒力克隆的毒力会因低毒力克隆的存在而减弱。对查巴迪疟原虫的多个实验分析表明,菌株间相互作用存在更大的细微差别,并且混合菌株感染中的死亡率和事件发生时间与毒性更强的菌株的单一感染均无差异。
这些不同的动态支持了早期的研究工作,即毒力驱动因素在网织红细胞特异性疟原虫物种和容易感染所有红细胞阶段的疟原虫物种之间可能在根本上有所不同,对此应进行更详细的研究。这些分析得出的效应大小(生物学效应的大小)很显著,表明通过更多地纳入进化流行病学理论,疟疾控制有可能取得重要进展。此外,我们建议使用这些流行病学模型通常可以更充分地利用来自实验性挑战动物模型实验的数据。