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模型系统鉴定 Hsp90 抑制剂对非洲锥虫和疟原虫活性的动力学驱动因素。

Model System Identifies Kinetic Driver of Hsp90 Inhibitor Activity against African Trypanosomes and Plasmodium falciparum.

机构信息

Division of Clinical Pharmacology, Departments of Medicine and of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Division of Clinical Pharmacology, Departments of Medicine and of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

出版信息

Antimicrob Agents Chemother. 2018 Jul 27;62(8). doi: 10.1128/AAC.00056-18. Print 2018 Aug.

Abstract

Hsp90 inhibitors, well studied in the laboratory and clinic for antitumor indications, have promising activity against protozoan pathogens, including which causes African sleeping sickness, and the malaria parasite, To progress these experimental drugs toward clinical use, we adapted an dynamic hollow-fiber system and deployed artificial pharmacokinetics to discover the driver of their activity: either concentration or time. The activities of compounds from three major classes of Hsp90 inhibitors in development were evaluated against trypanosomes. In all circumstances, the activities of the tested Hsp90 inhibitors were concentration driven. By optimally deploying the drug to match its kinetic driver, the efficacy of a given dose was improved up to 5-fold, and maximal efficacy was achieved with a significantly lower drug exposure. The superiority of concentration-driven regimens was evident over several logs of drug exposure and was predictive of efficacy in a mouse model of African trypanosomiasis. In studies with , antimalarial activity was similarly concentration driven. This experimental strategy offers an expedient and versatile translational tool to assess the impact of pharmacokinetics on antiprotozoal activity. Knowing kinetic governance early in drug development provides an additional metric for judging lead compounds and allows the incisive design of animal efficacy studies.

摘要

Hsp90 抑制剂在实验室和临床中针对抗肿瘤适应症进行了深入研究,对原生动物病原体具有有前途的活性,包括导致非洲昏睡病的病原体和疟原虫。为了将这些实验药物推向临床应用,我们采用了动态中空纤维系统,并部署了人工药代动力学来发现它们活性的驱动因素:浓度或时间。评估了三种主要开发中的 Hsp90 抑制剂类别的化合物对锥虫的活性。在所有情况下,测试的 Hsp90 抑制剂的活性都是由浓度驱动的。通过最佳地部署药物以匹配其动力学驱动因素,可以将给定剂量的疗效提高 5 倍,并且通过显著降低药物暴露可以达到最大疗效。在非洲锥虫病的小鼠模型中,浓度驱动方案的优越性在几个对数的药物暴露范围内得到证明,并具有疗效预测性。在对疟原虫的研究中,抗疟活性也是浓度依赖性的。这种实验策略提供了一种便捷且多功能的转化工具,可评估药代动力学对抗原生动物活性的影响。在药物开发的早期阶段了解动力学控制提供了另一种衡量标准,可以判断先导化合物,并允许对动物疗效研究进行深入设计。

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