Department I of Pharmacology, University Hospital Cologne, 50931 Cologne, Germany; email:
Institute for Biomedical and Pharmaceutical Research, 90562 Nürnberg-Heroldsberg, Germany.
Annu Rev Pharmacol Toxicol. 2019 Jan 6;59:507-536. doi: 10.1146/annurev-pharmtox-010818-021909. Epub 2018 Aug 29.
Pharmacokinetic parameters of selective probe substrates are used to quantify the activity of an individual pharmacokinetic process (PKP) and the effect of perpetrator drugs thereon in clinical drug-drug interaction (DDI) studies. For instance, oral caffeine is used to quantify hepatic CYP1A2 activity, and oral dagibatran etexilate for intestinal P-glycoprotein (P-gp) activity. However, no probe substrate depends exclusively on the PKP it is meant to quantify. Lack of selectivity for a given enzyme/transporter and expression of the respective enzyme/transporter at several sites in the human body are the main challenges. Thus, a detailed understanding of the role of individual PKPs for the pharmacokinetics of any probe substrate is essential to allocate the effect of a perpetrator drug to a specific PKP; this is a prerequisite for reliably informed pharmacokinetic models that will allow for the quantitative prediction of perpetrator effects on therapeutic drugs, also in respective patient populations not included in DDI studies.
在临床药物相互作用(DDI)研究中,人们常使用选择性探针底物的药代动力学参数来量化特定药代动力学过程(PKP)的活性及其对加扰药物的影响。例如,口服咖啡因可用于量化肝 CYP1A2 活性,口服达格列净乙酯用于量化肠道 P-糖蛋白(P-gp)活性。然而,没有哪种探针底物完全依赖于其所要量化的 PKP。缺乏对特定酶/转运体的选择性,以及在人体多个部位表达相应的酶/转运体,是主要挑战。因此,详细了解任何探针底物的药代动力学中个体 PKP 的作用,对于将加扰药物的作用分配给特定的 PKP 至关重要;这是建立可靠的药代动力学模型的前提,该模型可实现对加扰药物对治疗性药物的定量预测,即使是在 DDI 研究中未纳入的特定患者群体中也是如此。