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通过 PBPK 模型改善对非诺贝特与环孢素 A 和利福平相互作用的预测:考虑白蛋白介导的非诺贝特肝摄取和与 OATP1B 预孵育的抑制常数。

Improved Prediction of the Drug-Drug Interactions of Pemafibrate Caused by Cyclosporine A and Rifampicin via PBPK Modeling: Consideration of the Albumin-Mediated Hepatic Uptake of Pemafibrate and Inhibition Constants With Preincubation Against OATP1B.

机构信息

Sugiyama Laboratory, RIKEN Baton Zone Program, RIKEN Cluster for Science, RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan; Pharmacokinetics, Dynamics and Metabolism, Translational Medicine and Early Development, R&D, Sanofi K.K., 3 Chome-20-2, Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.

Pharmacokinetics, Dynamics and Metabolism, Translational Medicine and Early Development, R&D, Sanofi K.K., 3 Chome-20-2, Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.

出版信息

J Pharm Sci. 2021 Jan;110(1):517-528. doi: 10.1016/j.xphs.2020.10.016. Epub 2020 Oct 13.

Abstract

Pemafibrate (PMF) is highly albumin-bound (>99.8%) and a substrate for hepatic uptake transporters (OATP1B) and CYP enzymes. Here, we developed a PBPK model of PMF to capture drug-drug interactions (DDI) incurred by cyclosporine (CsA) and rifampicin (RIF), the two OATP1B inhibitors. Initial PBPK modeling of PMF utilized in vitro hepatic uptake clearance (PS) obtained in the absence of albumin, but failed in capturing the blood PMF pharmacokinetic (PK) profiles. Based on the results that in vitro PS of unbound PMF was enhanced in the presence of albumin, we applied the albumin-facilitated dissociation model and the resulting PS parameters improved the prediction of the blood PMF PK profiles. In refining our PBPK model toward improved prediction of the observed DDI data (PMF co-administered with single dosing of CsA or RIF; PMF following multiple RIF dosing), we adjusted the previously obtained in vivo OATP1B inhibition constants (K) of CsA or RIF for pitavastatin by correcting for substrate-dependency. We also incorporated the induction of OATP1B and CYP enzymes after multiple RIF dosing. Sensitivity analysis informed that the higher gastrointestinal absorption rate constant could further improve capturing the observed DDI data, suggesting the possible inhibition of intestinal ABC transporter(s) by CsA or RIF.

摘要

培马贝特(PMF)高度结合白蛋白(>99.8%),是肝摄取转运体(OATP1B)和 CYP 酶的底物。在这里,我们开发了 PMF 的 PBPK 模型,以捕获环孢素(CsA)和利福平(RIF)这两种 OATP1B 抑制剂引起的药物相互作用(DDI)。最初,PMF 的 PBPK 模型利用在没有白蛋白的情况下获得的肝摄取清除率(PS)进行建模,但未能捕捉到血液 PMF 的药代动力学(PK)特征。基于未结合 PMF 的 PS 在白蛋白存在下增强的结果,我们应用了白蛋白促进解离模型,得到的 PS 参数改善了血液 PMF PK 特征的预测。在改进我们的 PBPK 模型以更好地预测观察到的 DDI 数据(PMF 与单剂量 CsA 或 RIF 共同给药;PMF 后多次 RIF 给药)时,我们通过校正底物依赖性调整了先前获得的 CsA 或 RIF 对匹伐他汀的体内 OATP1B 抑制常数(K)。我们还纳入了多次 RIF 给药后 OATP1B 和 CYP 酶的诱导。敏感性分析表明,更高的胃肠道吸收速率常数可以进一步改善对观察到的 DDI 数据的捕捉,这表明 CsA 或 RIF 可能抑制了肠道 ABC 转运体(s)。

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