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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:利用体外系统和临床前数据预测药物发现和临床前开发过程中人类肠道的首过代谢

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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:人们对与广泛的肠道代谢有关的风险的认识不断提高,引起了人们对开发可靠的定量评估方法的兴趣。这项研究探索了肠道S9馏分,人类肝脏微粒体和重组细胞色素P450在量化CYP3A介导的人类肠道提取物中的作用,以选择主要由CYP3A4代谢的市售药物。一个简单的竞争率模型用于从人体的体外固有清除率估算逃逸肠壁代谢的分数(f g)。使用通用的基于全身生理学的药代动力学方法,针对从人体体内药代动力学(PK)谱图中提取的fg,验证了本研究中使用的三种体外系统推断出的fg值,以及源自人肠道微粒体的文献衍生的fg。 (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。 PBPK中的人fg与葡萄柚汁法中的fg相当,证明其可用于评估人体外系统。所有人类体外系统的预测性能均相当[均方根误差(RMSE)= 0.22-0.27; n = 10]。使用PBPK衍生自体内PK分布的大鼠fg具有最低的RMSE(0.19; n = 11),可预测所选化合物的人fg,其中大多数化合物的吸收率接近1。根据这些评估,建议在人体铅优化和临床前开发阶段中,联合使用人体外系统和大鼠中的fg来评估CYP3A4介导的肠道代谢。

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