Drug Metabolism and Pharmacokinetics Department, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut
Drug Metabolism and Pharmacokinetics Department, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut.
Drug Metab Dispos. 2018 Jul;46(7):953-963. doi: 10.1124/dmd.118.080614. Epub 2018 Apr 17.
Quantification of the fraction transported (f) by a particular transporter will facilitate more robust estimations of transporter interactions. Using pitavastatin as a model uptake transporter substrate, we investigated the utility of the relative activity factor (RAF) approach and mechanistic modeling to estimate f in hepatocytes. The transporters evaluated were organic anion-transporting polypeptides OATP1B1 and OATP1B3 and sodium-taurocholate cotransporting polypeptide. Transporter-expressing human embryonic kidney 293 cells and human hepatocytes were used for determining RAF values, which were then incorporated into the mechanistic model to simulate hepatocyte uptake of pitavastatin over time. There was excellent agreement between simulated and observed hepatocyte uptake of pitavastatin, indicating the suitability of this approach for translation of uptake from individual transporter-expressing cells to more holistic in vitro models. Subsequently, f values were determined. The largest contributor to hepatocyte uptake of pitavastatin was OATP1B1, which correlates with what is known about the in vivo disposition of pitavastatin. The f values were then used for evaluating in vitro-in vivo correlations of hepatic uptake inhibition with OATP inhibitors rifampicin and cyclosporine. Predictions were compared with previously reported plasma exposure changes of pitavastatin with these inhibitors. Although hepatic uptake inhibition of pitavastatin was 2-3-fold underpredicted, incorporation of scaling factors (SFs) into RAF values significantly improved the predictive ability. We propose that calibration of hepatocytes with standard transporter substrates and inhibitors would allow for determination of system-specific SFs, which could subsequently be used for refining predictions of clinical DDI potential for new chemical entities that undergo active hepatic uptake.
量化特定转运体转运的分数(f)将有助于更准确地估计转运体相互作用。本文以匹伐他汀作为摄取转运体底物的模型,研究了相对活性因子(RAF)方法和机制建模在估计肝细胞中 f 中的应用。评估的转运体为有机阴离子转运多肽 OATP1B1 和 OATP1B3 以及牛磺胆酸钠共转运蛋白。使用表达转运体的人胚肾 293 细胞和人肝细胞来确定 RAF 值,然后将其纳入机制模型,以模拟匹伐他汀在肝细胞中的摄取随时间的变化。模拟和观察到的匹伐他汀在肝细胞中的摄取之间具有极好的一致性,表明该方法适用于将摄取从单个表达转运体的细胞转化为更全面的体外模型。随后,确定了 f 值。对匹伐他汀在肝细胞中的摄取贡献最大的是 OATP1B1,这与匹伐他汀在体内处置的情况相符。然后,使用 f 值评估 OATP 抑制剂利福平(rifampicin)和环孢素(cyclosporine)对肝摄取的体外-体内相关性。将预测结果与这两种抑制剂对匹伐他汀的血浆暴露变化的先前报道进行了比较。尽管匹伐他汀的肝摄取抑制作用被低估了 2-3 倍,但将标化因子(SF)纳入 RAF 值可显著提高预测能力。我们提出,用标准转运体底物和抑制剂校准肝细胞,可以确定特定系统的 SF,随后可以用于改进对新化学实体的临床 DDI 潜力的预测,这些新化学实体经历主动肝摄取。