Umehara Ken-Ichi, Huth Felix, Won Christina S, Heimbach Tycho, He Handan
PK Sciences, Novartis Institutes for BioMedical Research, CH-4002, Basel, Switzerland.
PK Sciences, Novartis Institutes for BioMedical Research, East Hanover, NJ, 07936, USA.
Biopharm Drug Dispos. 2018 Mar;39(3):152-163. doi: 10.1002/bdd.2122.
Ritonavir is one of several ketoconazole alternatives used to evaluate strong CYP3A4 inhibition potential in clinical drug-drug interaction (DDI) studies. In this study, four physiologically based pharmacokinetic (PBPK) models of ritonavir as an in vivo time-dependent inhibitor of CYP3A4 were created and verified for oral doses of 20, 50, 100 and 200 mg using the fraction absorbed (F ) and oral clearance (CL ) values reported in the literature, because transporter and CYP enzyme reaction phenotyping data were not available. The models were used subsequently to predict and compare the magnitude of the AUC increase in nine reference DDI studies evaluating the effect of ritonavir at steady-state on midazolam (CYP3A4 substrate) exposure. Midazolam AUC and C ratios were predicted within 2-fold of the respective observations in seven studies. Simulations of the hepatic and gut CYP3A4 abundance after multiple oral dosing of ritonavir indicated that a 3-day treatment with ritonavir 100 mg twice daily is sufficient to reach maximal CYP3A4 inhibition and subsequent systemic exposure increase of a CYP3A4 substrate, resulting in the reliable estimation of f . The ritonavir model was submitted as part of the new drug application for Kisqali® (ribociclib) and accepted by health authorities.
利托那韦是几种酮康唑替代药物之一,用于在临床药物相互作用(DDI)研究中评估强效CYP3A4抑制潜力。在本研究中,利用文献报道的吸收分数(F)和口服清除率(CL)值,创建了四种利托那韦作为CYP3A4体内时间依赖性抑制剂的基于生理的药代动力学(PBPK)模型,并对20、50、100和200 mg的口服剂量进行了验证,因为转运体和CYP酶反应表型数据不可用。随后,这些模型用于预测和比较九项参考DDI研究中AUC增加的幅度,这些研究评估了利托那韦稳态对咪达唑仑(CYP3A4底物)暴露的影响。在七项研究中,咪达唑仑AUC和C比值的预测值在各自观察值的2倍以内。多次口服利托那韦后肝脏和肠道CYP3A4丰度的模拟表明,每天两次服用100 mg利托那韦进行3天治疗足以达到最大CYP3A4抑制和随后CYP3A4底物全身暴露增加,从而可靠地估计f。利托那韦模型作为Kisqali®(瑞博西尼)新药申请的一部分提交,并被卫生当局接受。