Certara UK Limited, Simcyp Division, Level 2-Acero, Sheffield, S1 2BJ, U.K.
Mol Pharm. 2020 Jul 6;17(7):2329-2344. doi: 10.1021/acs.molpharmaceut.0c00043. Epub 2020 Jun 1.
Ritonavir is a well-known CYP3A4 and CYP2D6 enzyme inhibitor, frequently used to assess the drug-drug interaction (DDI) liability of susceptible drugs. It is also used as a pharmacokinetic booster to increase exposure to CYP3A4 substrates. This study aimed to develop a mechanistic absorption and disposition model to describe exposure to ritonavir following oral dosing of the commercial amorphous solid dispersion tablet, Norvir, under fasted and fed conditions. A mechanistic description of ritonavir absorption from Norvir tablets may help to improve the design of DDI studies. Key parameters of amorphous ritonavir including free base solubility (solubility of the unbound, un-ionized species), bile micelle partition coefficients, formulation wetting/disintegration, and precipitation parameters were either obtained from the literature or estimated by modeling biopharmaceutic experiments. Based on variety of evidence, a main assumption of the model is that ritonavir does not form a crystalline precipitate while resident in the gastrointestinal tract. In the model, if simulated luminal concentration exceeds the amorphous solubility limit, then precipitation to an amorphous form is immediate. Simulated and observed and AUC parameters were well captured (within 1.5-fold) for both fasted and fed states in healthy volunteers. By accounting for luminal fluid viscosity differences in the different prandial states (affecting drug diffusivity) as well as the effect of drug free fraction on gut wall permeation rates, it was possible to explain the negative food effect observed for Norvir tablets in humans. In summary, a biopharmaceutic extrapolation approach provides confidence in (verification of) key input parameters of the physiologically-based pharmacokinetic ritonavir model which resulted in successful simulation of observed plasma profiles.
利托那韦是一种众所周知的 CYP3A4 和 CYP2D6 酶抑制剂,常用于评估易发生药物相互作用(DDI)的药物的潜在相互作用风险。它也被用作药代动力学增强剂,以增加 CYP3A4 底物的暴露。本研究旨在开发一种机制吸收和处置模型,以描述在禁食和进食条件下,口服 Norvir 商业无定形固体分散体片剂后利托那韦的暴露情况。对 Norvir 片剂中利托那韦吸收的机制描述可能有助于改进 DDI 研究的设计。无定形利托那韦的关键参数,包括游离碱溶解度(未结合的、未离解的物种的溶解度)、胆汁胶束分配系数、制剂润湿/崩解以及沉淀参数,要么从文献中获得,要么通过建模生物药剂学实验进行估计。基于多种证据,模型的一个主要假设是,利托那韦在胃肠道中不会形成结晶沉淀。在该模型中,如果模拟的腔室浓度超过无定形溶解度极限,则立即沉淀为无定形形式。模拟和观察到的 AUC 参数在健康志愿者的禁食和进食状态下均得到很好的捕捉(在 1.5 倍以内)。通过在不同进食状态下考虑腔室流体粘度差异(影响药物扩散性)以及游离药物分数对肠壁渗透速率的影响,解释了在人类中观察到的 Norvir 片剂的负食物效应。总之,生物药剂学外推方法为生理相关药代动力学利托那韦模型的关键输入参数提供了信心(验证),这使得成功模拟了观察到的血浆谱成为可能。