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Modelling the time course of antimalarial parasite killing: a tour of animal and human models translation and challenges

机译:模拟抗疟原虫杀死的时间过程:动物和人类模型翻译和挑战之旅

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摘要

Malaria remains a global public health concern and current treatment options are suboptimal in some clinical settings. For effective chemotherapy, antimalarial drug concentrations must be sufficient to remove completely all of the parasites in the infected host. Optimized dosing therefore requires a detailed understanding of the time course of antimalarial response, whilst simultaneously considering the parasite life cycle and host immune elimination. Recently, the World Health Organization (WHO) has recommended the development of mathematical models for understanding better antimalarial drug resistance and management. Other international groups have also suggested that mechanistic pharmacokinetic (PK) and pharmacodynamic (PD) models can support the rationalization of antimalarial dosing strategies. At present, artemisinin-based combination therapy (ACT) is recommended as first line treatment of falciparum malaria for all patient groups. This review summarizes the PK–PD characterization of artemisinin derivatives and other partner drugs from both preclinical studies and human clinical trials. We outline the continuous and discrete time models that have been proposed to describe antimalarial activity on specific stages of the parasite life cycle. The translation of PK–PD predictions from animals to humans is considered, because preclinical studies can provide rich data for detailed mechanism-based modelling. While similar sampling techniques are limited in clinical studies, PK–PD models can be used to optimize the design of experiments to improve estimation of the parameters of interest. Ultimately, we propose that fully developed mechanistic models can simulate and rationalize ACT or other treatment strategies in antimalarial chemotherapy.
机译:疟疾仍然是全球公共卫生问题,在某些临床环境中,当前的治疗选择并不理想。对于有效的化学疗法,抗疟药物的浓度必须足以完全清除感染宿主中的所有寄生虫。因此,优化剂量需要详细了解抗疟疾反应的时程,同时要考虑寄生虫的生命周期和宿主免疫消除。最近,世界卫生组织(WHO)建议开发数学模型,以更好地了解抗疟药耐药性和管理。其他国际组织也建议,机械药代动力学(PK)和药效学(PD)模型可以支持抗疟药剂量策略的合理化。目前,对于所有患者组,推荐以青蒿素为基础的联合治疗(ACT)作为恶性疟疾的一线治疗。这篇综述总结了临床前研究和人类临床试验中青蒿素衍生物和其他伴侣药物的PK-PD表征。我们概述了已提出来描述寄生虫生命周期特定阶段的抗疟疾活动的连续和离散时间模型。考虑了PK–PD预测从动物到人类的转化,因为临床前研究可以为基于详细机理的建模提供丰富的数据。尽管类似的采样技术在临床研究中受到限制,但可以使用PK-PD模型来优化实验设计,以改善对相关参数的估计。最终,我们建议充分发展的机制模型可以模拟和合理化ACT或其他抗疟疾化疗策略。

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