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首页> 外文期刊>Drug Metabolism and Disposition: The Biological Fate of Chemicals >Utility of in vitro systems and preclinical data for the prediction of human intestinal first-pass metabolism during drug discovery and preclinical development
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Utility of in vitro systems and preclinical data for the prediction of human intestinal first-pass metabolism during drug discovery and preclinical development

机译:在药物发现和临床前发育期间,体外系统和临床前数据预测人类肠道首发代谢的实用性

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摘要

A growing awareness of the risks associated with extensive intestinal metabolism has triggered an interest in developing robust methods for its quantitative assessment. This study explored the utility of intestinal S9 fractions, human liver microsomes, and recombinant cytochromes P450 to quantify CYP3A-mediated intestinal extraction in humans for a selection of marketed drugs that are predominantly metabolized by CYP3A4. A simple competing rates model is used to estimate the fraction of drug escaping gut wall metabolism (f g) from in vitro intrinsic clearance in humans. The fg values extrapolated from the three in vitro systems used in this study, together with literature-derived fg from human intestinal microsomes, were validated against fg extracted from human in vivo pharmacokinetic (PK) profiles using a generic whole-body physiologically-based pharmacokinetic (PBPK) model. The utility of the rat as a model for human CYP3A-mediated intestinal metabolism was also evaluated. Human fg from PBPK compares well with that from the grapefruit juice method, justifying its use for the evaluation of human in vitro systems. Predictive performance of all human in vitro systems was comparable [root mean square error (RMSE) = 0.22-0.27; n = 10]. Rat fg derived from in vivo PK profiles using PBPK has the lowest RMSE (0.19; n = 11) for the prediction of human fg for the selected compounds, most of which have a fraction absorbed close to 1. On the basis of these evaluations, the combined use of fg from human in vitro systems and rats is recommended for the estimation of CYP3A4-mediated intestinal metabolism in lead optimization and preclinical development phases.
机译:越来越意识到与广泛的肠道代谢相关的风险已经引发了对其定量评估的稳健方法的兴趣。本研究探讨了肠S9分数,人肝微粒体和重组细胞学的效用P450对人类的CYP3A介导的肠道提取量,以选择由CYP3A4主要代谢的销售药物。一种简单的竞争速率模型用于估计来自人类体外内在清除的药物逸出的药物逃逸壁代谢(F G)的分数。从本研究中使用的三种体外系统外推的FG值与来自人肠微粒体的文献衍生的FG一起验证,使用普通全身的生理学药代动力学对来自人体内药代动力学(PK)型材的FG进行验证。 (PBPK)模型。还评估了大鼠作为人CYP3A介导的肠道代谢模型的效用。来自PBPK的人FG与葡萄柚汁法相比良好,证明其用于评估人体外系统的用途。所有人体外系统的预测性能相当[均方根误差(RMSE)= 0.22-0.27; n = 10]。使用PBPK的体内PK谱系中衍生的大鼠FG具有用于预测所选化合物的人FG的最低RMSE(0.19; n = 11),其中大多数是在这些评估的基础上接近1的级分。建议估计在铅优化和临床前发育阶段的CYP3A4介导的CYP3A4介导的肠道代谢的FG从人体外系统和大鼠使用FG。

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    Cardiovascular and Gastrointestinal Drug Metabolism and Pharmacokinetics AstraZeneca R and D M;

    Cardiovascular and Gastrointestinal Drug Metabolism and Pharmacokinetics AstraZeneca R and D M;

    Global Drug Metabolism and Pharmacokinetics AstraZeneca R and D M?lndal Sweden;

    Global Drug Metabolism and Pharmacokinetics AstraZeneca R and D M?lndal Sweden Merck KGaA;

    Respiratory Inflammation and Autoimmunity iMed DMPK AstraZeneca R and D SE 43183 M?lndal Sweden;

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  • 正文语种 eng
  • 中图分类 药理学;
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