Alffenaar Jan-Willem C, de Steenwinkel Jurriaan E M, Diacon Andreas H, Simonsson Ulrika S H, Srivastava Shashikant, Wicha Sebastian G
Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia.
School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia.
Front Pharmacol. 2022 Dec 9;13:1063453. doi: 10.3389/fphar.2022.1063453. eCollection 2022.
There has been an increased interest in pharmacokinetics and pharmacodynamics (PKPD) of anti-tuberculosis drugs. A better understanding of the relationship between drug exposure, antimicrobial kill and acquired drug resistance is essential not only to optimize current treatment regimens but also to design appropriately dosed regimens with new anti-tuberculosis drugs. Although the interest in PKPD has resulted in an increased number of studies, the actual bench-to-bedside translation is somewhat limited. One of the reasons could be differences in methodologies and outcome assessments that makes it difficult to compare the studies. In this paper we summarize most relevant , , and human PKPD studies performed to optimize the drug dose and regimens for treatment of tuberculosis. The assessment focuses on MIC determination, static time-kill kinetics, and dynamic hollow fibre infection models to investigate acquisition of resistance and killing of Mycobacterium tuberculosis populations in various metabolic states. The assessment focuses on the various animal models, routes of infection, PK at the site of infection, PD read-outs, biomarkers and differences in treatment outcome evaluation (relapse and death). For human PKPD we focus on early bactericidal activity studies and inclusion of PK and therapeutic drug monitoring in clinical trials. Modelling and simulation approaches that are used to evaluate and link the different data types will be discussed. We also describe the concept of different studies, study design, importance of uniform reporting including microbiological and clinical outcome assessments, and modelling approaches. We aim to encourage researchers to consider methods of assessing and reporting PKPD of anti-tuberculosis drugs when designing studies. This will improve appropriate comparison between studies and accelerate the progress in the field.
人们对抗结核药物的药代动力学和药效学(PKPD)的兴趣日益浓厚。更好地理解药物暴露、抗菌杀灭作用和获得性耐药之间的关系,不仅对于优化当前的治疗方案至关重要,而且对于设计新的抗结核药物的合适剂量方案也至关重要。尽管对PKPD的兴趣导致了研究数量的增加,但实际从实验室到临床的转化仍较为有限。原因之一可能是方法学和结果评估的差异,这使得研究之间难以进行比较。在本文中,我们总结了为优化治疗结核病的药物剂量和方案而进行的最相关的体外、体内外和人体PKPD研究。体外评估侧重于最低抑菌浓度(MIC)测定、静态时间杀菌动力学以及动态中空纤维感染模型,以研究不同代谢状态下结核分枝杆菌群体的耐药性获得和杀灭情况。体内外评估侧重于各种动物模型、感染途径、感染部位的药代动力学、药效学读数、生物标志物以及治疗结果评估(复发和死亡)的差异。对于人体PKPD,我们侧重于早期杀菌活性研究以及在临床试验中纳入药代动力学和治疗药物监测。将讨论用于评估和关联不同数据类型的建模和模拟方法。我们还描述了不同研究的概念、研究设计、包括微生物学和临床结果评估在内的统一报告的重要性以及建模方法。我们旨在鼓励研究人员在设计研究时考虑评估和报告抗结核药物PKPD的方法。这将改善研究之间的适当比较,并加速该领域的进展。