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Prediction and Quantification of Hepatic Transporter-Mediated Uptake of Pitavastatin Utilizing a Combination of the Relative Activity Factor Approach and Mechanistic Modeling

机译:利用相对活性因子方法和机械建模的组合预测和定量肝转运蛋白介导的岩伐他汀的摄取

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Quantification of the fraction transported (ft) 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 ft 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, ft 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 ft 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.
机译:通过特定转运蛋白传送(FT)的级分的定量将促进转运蛋白相互作用的更强大的估计。使用Pitavastatin作为模型摄取转运底物,我们研究了相对活动因子(RAF)方法和机械模型的效用和机械模型来估计肝细胞的FT。评估的转运蛋白是有机阴离子输送多肽oatp1b1和oatp1b3和钠 - 牛磺酸钠椰子植物potypeptide。用于表达的人胚胎肾脏293细胞和人肝细胞用于测定RAF值,然后将其掺入机械模型中以模拟脱戊酰汀的肝细胞随时间吸收。模拟和观察到的脱肝素之间存在很好的一致性,表明这种方法对从个体转运蛋白的细胞转化到更全面的体外模型的适用性。随后,确定FT值。肝细胞摄取的最大贡献因子是甲伐他汀的oaTP1B1,与脱伐他汀的体内处置所知的oatp1b1相关。然后将FT值用于评估肝脏摄取抑制与oATP抑制剂利福平和环孢菌素的体外相关性的体内相关性。将预测与先前报道了与这些抑制剂的粘伐他汀的血浆暴露变化进行了比较。虽然肝脏吸收抑制缺陷抑制缺陷2-3倍,但将缩放因子(SFS)掺入RAF值显着提高了预测能力。我们提出具有标准转运物衬底和抑制剂的肝细胞的校准将允许测定系统特异性SFS,随后可以用于精制性肝脏摄取的新化学实体的临床DDI电位的预测。

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