Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, United Kingdom.
Technologie Servier, Orléans, France.
Eur J Pharm Sci. 2021 Oct 1;165:105932. doi: 10.1016/j.ejps.2021.105932. Epub 2021 Jul 11.
Dabigatran etexilate (DABE) has been suggested as a clinical probe for intestinal P-glycoprotein (P-gp)-mediated drug-drug interaction (DDI) studies and, as an alternative to digoxin. Clinical DDI data with various P-gp inhibitors demonstrated a dose-dependent inhibition of P-gp with DABE. The aims of this study were to develop a joint DABE (prodrug)-dabigatran reduced physiologically-based-pharmacokinetic (PBPK) model and to evaluate its ability to predict differences in P-gp DDI magnitude between a microdose and a therapeutic dose of DABE.
A joint DABE-dabigatran PBPK model was developed with a mechanistic intestinal model accounting for the regional P-gp distribution in the gastrointestinal tract. Model input parameters were estimated using DABE and dabigatran pharmacokinetic (PK) clinical data obtained after administration of DABE alone or with a strong P-gp inhibitor, itraconazole, and over a wide range of DABE doses (from 375 µg to 400 mg). Subsequently, the model was used to predict extent of DDI with additional P-gp inhibitors and with different DABE doses.
The reduced DABE-dabigatran PBPK model successfully described plasma concentrations of both prodrug and metabolite following administration of DABE at different dose levels and when co-administered with itraconazole. The model was able to capture the dose dependency in P-gp mediated DDI. Predicted magnitude of itraconazole P-gp DDI was higher at the microdose (predicted vs. observed median fold-increase in AUC/AUC (min-max) = 5.88 (4.29-7.93) vs. 6.92 (4.96-9.66) ) compared to the therapeutic dose (predicted median fold-increase in AUC/AUC = 3.48 (2.37-4.84) ). In addition, the reduced DABE-dabigatran PBPK model predicted successfully the extent of DDI with verapamil and clarithromycin as P-gp inhibitors. Model-based simulations of dose staggering predicted the maximum inhibition of P-gp when DABE microdose was concomitantly administered with itraconazole solution; simulations also highlighted dosing intervals required to minimise the DDI risk depending on the DABE dose administered (microdose vs. therapeutic).
This study provides a modelling framework for the evaluation of P-gp inhibitory potential of new molecular entities using DABE as a clinical probe. Simulations of dose staggering and regional differences in the extent of intestinal P-gp inhibition for DABE microdose and therapeutic dose provide model-based guidance for design of prospective clinical P-gp DDI studies.
达比加群酯(DABE)已被提议作为研究肠道 P-糖蛋白(P-gp)介导的药物相互作用(DDI)的临床探针,并且可替代地高辛。用各种 P-gp 抑制剂进行的临床 DDI 数据表明,DABE 对 P-gp 具有剂量依赖性抑制作用。本研究的目的是开发达比加群酯(前药)-达比加群简化生理基于药代动力学(PBPK)模型,并评估其预测达比加群酯微剂量和治疗剂量之间 P-gp DDI 幅度差异的能力。
使用一种机械性肠道模型,该模型考虑了胃肠道中 P-gp 的区域分布,建立了联合的 DABE-达比加群 PBPK 模型。使用单独给予 DABE 或给予强效 P-gp 抑制剂伊曲康唑以及在广泛的 DABE 剂量范围内(375µg 至 400mg)获得的 DABE 和达比加群药代动力学(PK)临床数据来估计模型输入参数。随后,该模型用于预测其他 P-gp 抑制剂和不同 DABE 剂量的 DDI 程度。
简化的 DABE-达比加群 PBPK 模型成功描述了在不同剂量水平下给予 DABE 以及与伊曲康唑联合给予时前药和代谢物的血浆浓度。该模型能够捕获 P-gp 介导的 DDI 的剂量依赖性。与治疗剂量相比,微剂量时伊曲康唑 P-gp DDI 的预测幅度更高(预测与观察到的 AUC/AUC 中位数(最小值-最大值)的比值为 5.88(4.29-7.93)与 6.92(4.96-9.66))(预测与观察到的 AUC/AUC 中位数(最小值-最大值)的比值为 3.48(2.37-4.84))。此外,简化的 DABE-达比加群 PBPK 模型成功预测了维拉帕米和克拉霉素作为 P-gp 抑制剂的 DDI 程度。基于模型的剂量分级模拟预测了当同时给予达比加群微剂量和伊曲康唑溶液时 P-gp 最大抑制程度;模拟还强调了根据给予的 DABE 剂量(微剂量与治疗剂量)最小化 DDI 风险所需的给药间隔。
本研究提供了一种使用达比加群酯作为临床探针评估新分子实体的 P-gp 抑制潜力的建模框架。达比加群酯微剂量和治疗剂量的 P-gp 抑制程度的剂量分级和区域差异的模拟为设计前瞻性临床 P-gp DDI 研究提供了基于模型的指导。