Novel treatment strategies for tuberculosis are urgently needed. Many different preclinical models assessing anti-tuberculosis drug activity are available, but it is yet unclear which combination of models is most predictive of clinical treatment efficacy. The aim of this study was to determine the role of our in vitro time kill-kinetics assay as an asset to a predictive preclinical modeling framework assessing anti-tuberculosis drug activity. The concentration- and time-dependent mycobacterial killing capacities of six anti-tuberculosis drugs were determined during exposure as single drugs or in dual, triple and quadruple combinations towards a Mycobacterium tuberculosis Beijing genotype strain and drug resistance was assessed. Streptomycin, rifampicin and isoniazid were most active against fast-growing M. tuberculosis. Isoniazid with rifampicin or high dose ethambutol were the only synergistic drug combinations. The addition of rifampicin or streptomycin to isoniazid prevented isoniazid resistance. In vitro ranking showed agreement with early bactericidal activity in tuberculosis patients for some but not all anti-tuberculosis drugs. The time-kill kinetics assay provides important information on the mycobacterial killing dynamics of anti-tuberculosis drugs during the early phase of drug exposure. As such, this assay is a valuable component of the preclinical modeling framework.

译文

迫切需要新的结核病治疗策略。有许多不同的评估抗结核药物活性的临床前模型,但尚不清楚哪种模型组合最能预测临床治疗效果。这项研究的目的是确定我们的体外时间杀伤动力学测定法作为评估抗结核药物活性的预测性临床前建模框架的资产的作用。在暴露于结核分枝杆菌北京基因型菌株的过程中,确定了六种抗结核药物的浓度和时间依赖性的分枝杆菌杀伤能力,并评估了耐药性。链霉素,利福平和异烟肼对快速生长的结核分枝杆菌最有效。异烟肼与利福平或高剂量乙胺丁醇是唯一的协同药物组合。在异烟肼中添加利福平或链霉素可防止异烟肼耐药性。体外排名显示,对于某些 (但不是所有) 抗结核药物,结核病患者的早期杀菌活性一致。时间杀伤动力学测定法提供了有关药物暴露早期抗结核药物的分枝杆菌杀伤动力学的重要信息。因此,该测定是临床前建模框架的有价值的组成部分。

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