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利用非临床数据预测人体口服药代动力学:涉及四种专利化合物的实例

Prediction of human oral pharmacokinetics using nonclinical data: examples involving four proprietary compounds.

作者信息

Fura Aberra, Vyas Viral, Humphreys William, Chimalokonda Anjaneya, Rodrigues David

机构信息

Bristol-Myers Squibb, Research and Development, Department of Metabolism and Pharmacokinetics, PO Box 4000, Princeton, NJ 08543, USA.

出版信息

Biopharm Drug Dispos. 2008 Nov;29(8):455-68. doi: 10.1002/bdd.632.

Abstract

The oral pharmacokinetics (concentration-time profile) of four proprietary compounds in humans were predicted using the C(vss)-MRT method. The first step was to demonstrate superposition of intravenous (i.v.) pharmacokinetic profiles of preclinical species following mathematical transformation of their respective concentration-time curves using the corresponding C(vss) (where C(vss)=dose/Vss; Vss is the volume of distribution at steady state) and mean residence time (MRT) values. The resultant profiles were then back-transformed to estimate human i.v. plasma concentration-time profiles using human C(vss) and MRT values. Human C(vss) and MRT values were estimated from projected human Vss and CL values. Projection of CL was based on scaled (in vitro) metabolic clearance, simple allometry with and without various correction factors and the unbound fraction corrected intercept method. Vss values were estimated by allometric scaling with and without correction for interspecies differences in plasma protein binding. The predicted human i.v. profiles, in combination with the estimated mean absorption rate constants and bioavailability, were then used to simulate the oral pharmacokinetics in human using one- or multi-compartment kinetic models. Overall, with this approach, key oral pharmacokinetic parameters such as AUC, C(max), C(min) and oral plasma T((1/2)) were projected to be within two-fold of the actual values in humans.

摘要

采用C(vss)-MRT方法预测了四种专利化合物在人体内的口服药代动力学(浓度-时间曲线)。第一步是在对临床前物种各自的浓度-时间曲线进行数学转换后,使用相应的C(vss)(其中C(vss)=剂量/Vss;Vss是稳态分布容积)和平均驻留时间(MRT)值,证明静脉注射(i.v.)药代动力学曲线的叠加。然后将所得曲线进行逆变换,以使用人体C(vss)和MRT值估计人体静脉血浆浓度-时间曲线。人体C(vss)和MRT值是根据预测的人体Vss和CL值估算的。CL的预测基于标度化(体外)代谢清除率、带有和不带有各种校正因子的简单异速生长法以及非结合分数校正截距法。Vss值通过带有和不带有种间血浆蛋白结合差异校正的异速生长标度法进行估算。然后,将预测的人体静脉曲线与估计的平均吸收速率常数和生物利用度相结合,使用单室或多室动力学模型模拟人体口服药代动力学。总体而言,通过这种方法,预测的关键口服药代动力学参数,如AUC、C(max)、C(min)和口服血浆T((1/2))在人体实际值的两倍以内。

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