Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, UK.
Malar J. 2010 Nov 4;9:311. doi: 10.1186/1475-2875-9-311.
The combined effects of multiple density-dependent, regulatory processes may have an important impact on the growth and stability of a population. In a malaria model system, it has been shown that the progression of Plasmodium berghei through Anopheles stephensi and the survival of the mosquito both depend non-linearly on parasite density. These processes regulating the development of the malaria parasite within the mosquito may influence the success of transmission-blocking interventions (TBIs) currently under development.
An individual-based stochastic mathematical model is used to investigate the combined impact of these multiple regulatory processes and examine how TBIs, which target different parasite life-stages within the mosquito, may influence overall parasite transmission.
The best parasite molecular targets will vary between different epidemiological settings. Interventions that reduce ookinete density beneath a threshold level are likely to have auxiliary benefits, as transmission would be further reduced by density-dependent processes that restrict sporogonic development at low parasite densities. TBIs which reduce parasite density but fail to clear the parasite could cause a modest increase in transmission by increasing the number of infectious bites made by a mosquito during its lifetime whilst failing to sufficiently reduce its infectivity. Interventions with a higher variance in efficacy will therefore tend to cause a greater reduction in overall transmission than a TBI with a more uniform effectiveness. Care should be taken when interpreting these results as parasite intensity values in natural parasite-vector combinations of human malaria are likely to be significantly lower than those in this model system.
A greater understanding of the development of the malaria parasite within the mosquito is required to fully evaluate the impact of TBIs. If parasite-induced vector mortality influenced the population dynamics of Plasmodium species infecting humans in malaria endemic regions, it would be important to quantify the variability and duration of TBI efficacy to ensure that community benefits of control measures are not overestimated.
多种密度依赖型调控过程的综合作用可能对种群的生长和稳定性产生重要影响。在疟疾模型系统中,已经表明疟原虫(Plasmodium berghei)在按蚊(Anopheles stephensi)中的发育进程以及蚊子的存活率均与寄生虫密度呈非线性相关。这些调控寄生虫在蚊子体内发育的过程可能会影响目前正在开发的阻断传播干预措施(TBIs)的效果。
采用基于个体的随机数学模型来研究这些多重调控过程的综合影响,并研究针对蚊子内不同寄生虫生活阶段的 TBIs 如何影响总体寄生虫传播。
最佳寄生虫分子靶标将因不同的流行病学环境而有所不同。将卯囊密度降低到阈值以下的干预措施可能会带来辅助益处,因为在寄生虫密度较低时,限制有性生殖发育的密度依赖性过程会进一步降低传播。未能清除寄生虫但降低寄生虫密度的 TBIs 可能会通过增加蚊子在其一生中进行的传染性叮咬次数而导致传播适度增加,同时未能充分降低其感染力。因此,与具有更均匀效果的 TBI 相比,疗效差异较大的干预措施往往会导致总体传播的更大减少。当解释这些结果时应谨慎,因为人类疟疾中寄生虫-媒介组合的寄生虫强度值可能明显低于该模型系统中的值。
需要更深入地了解疟原虫在蚊子中的发育,以充分评估 TBIs 的影响。如果寄生虫诱导的媒介死亡率影响疟疾流行地区感染人类的疟原虫物种的种群动态,那么量化 TBI 效果的可变性和持续时间以确保控制措施的社区收益不会被高估将非常重要。