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利用具有人源化肝脏的嵌合小鼠,通过基于生理学的方法预测典型化合物的人体药代动力学。

Prediction of human pharmacokinetics of typical compounds by a physiologically based method using chimeric mice with humanized liver.

作者信息

Nakayama Keigo, Ito Soichiro, Suzuki Masahiro, Takubo Hiroaki, Yamazaki Hiroshi, Nomura Yukihiro

机构信息

a Drug Metabolism and Pharmacokinetics Research Laboratories, Central Pharmaceutical Research Institute, Japan Tobacco Inc , Osaka , Japan.

b Laboratory of Drug Metabolism and Pharmacokinetics , Showa Pharmaceutical University , Tokyo , Japan.

出版信息

Xenobiotica. 2019 Apr;49(4):404-414. doi: 10.1080/00498254.2018.1460516. Epub 2018 Apr 19.

DOI:10.1080/00498254.2018.1460516
PMID:29619871
Abstract

In this study, total body clearance (CL), volume of distribution at steady state (V) and plasma concentration-time profiles in humans of model compounds were predicted using chimeric mice with humanized livers. On the basis of assumption that unbound intrinsic clearance (CL) per liver weight in chimeric mice was equal to those in humans, CL were predicted by substituting human liver blood flow and liver weights in well-stirred model. V were predicted by Rodgers equation using scaling factors of tissue-plasma concentration ratios (SF) in chimeric mice estimated from a difference between the observed and predicted V. These physiological approaches showed high prediction accuracy for CL and V values in humans. We compared the predictability of CL and V determined by the physiologically based predictive approach using chimeric mice with those from predictive methods reported by Pharmaceutical Research Manufacturers of America. The physiological approach using chimeric mice indicated the best prediction accuracy in each predictive method. Simulation of human plasma concentration-time profiles were generally successful with physiologically based pharmacokinetic (PBPK) model incorporating CL and SF obtained from chimeric mice. Combined application of chimeric mice and PBPK modeling is effective for prediction of human PK in various compounds.

摘要

在本研究中,使用具有人源化肝脏的嵌合小鼠预测了模型化合物在人体内的总体清除率(CL)、稳态分布容积(V)和血浆浓度-时间曲线。基于嵌合小鼠每单位肝脏重量的非结合内在清除率(CL)与人相同的假设,通过在充分搅拌模型中代入人肝血流量和肝脏重量来预测CL。使用根据观察到的V与预测的V之间的差异估算的嵌合小鼠组织-血浆浓度比(SF)的比例因子,通过罗杰斯方程预测V。这些生理学方法对人体内的CL和V值显示出较高的预测准确性。我们将使用嵌合小鼠的基于生理学的预测方法所确定的CL和V的可预测性与美国制药研究制造商报告的预测方法的可预测性进行了比较。使用嵌合小鼠的生理学方法在每种预测方法中显示出最佳的预测准确性。使用从嵌合小鼠获得的CL和SF的基于生理学的药代动力学(PBPK)模型对人血浆浓度-时间曲线的模拟通常是成功的。嵌合小鼠和PBPK建模的联合应用对于预测各种化合物的人体药代动力学是有效的。

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