Izumi T, Enomoto S, Hosiyama K, Sasahara K, Shibukawa A, Nakagawa T, Sugiyama Y
Analytical and Metabolic Research Laboratories, Sankyo Co., Ltd., Tokyo, Japan.
J Pharmacol Exp Ther. 1996 Jun;277(3):1630-41.
We have attempted to predict the human pharmacokinetics of troglitazone after oral administration based on animal data. Troglitazone is a new antidiabetic agent that exhibits a high-metabolic clearance and is metabolized mainly in the liver to sulfate and glucuronide conjugates. The prediction of the area under the plasma concentration-time curve (AUCp.o.) and bio-availability (F) in humans after oral administration was initially attempted by use of allometric equations involving the oral plasma clearance of total (CLp.o.) or unbound drug (CLp.o.,fu), or the hepatic intrinsic clearance of unbound drug (CLuint) and animal body weight. The exponents in the allometric equations between the clearances and body weights were 0.63 to 0.82 with high correlation coefficients (r > .98), and there was no marked difference in predictability by the three methods. Next, the prediction of the range of plasma profiles after oral administration to humans was attempted by the following series of steps: (1) calculation of the exponent and coefficients in the allometric relationships between body weight and parameters, such as total body plasma clearance (CLi.v.) and various distribution volumes (Vss, V beta and Vc) based on animal data; (2) estimation of the absorption rate constant (ka) from allometric relationship to body weight, and estimation of F value from the predicted AUCp.o. (3) description of the plasma concentration-time profiles after oral administration by an equation involving the allometric exponents and coefficients, ka, F and body weight. The observed and simulated plasma profiles were similar and the predicted AUCp.o. values were 60 to 120% of those observed. These methodologies will be useful for predicting the human pharmacokinetics after oral dosing from animal data.
我们已尝试根据动物数据预测口服曲格列酮后的人体药代动力学。曲格列酮是一种新型抗糖尿病药物,具有高代谢清除率,主要在肝脏代谢为硫酸盐和葡萄糖醛酸结合物。最初,我们通过使用涉及总口服血浆清除率(CLp.o.)或游离药物口服血浆清除率(CLp.o.,fu),或游离药物肝内在清除率(CLuint)与动物体重的异速生长方程,来预测口服给药后人体血浆浓度 - 时间曲线下面积(AUCp.o.)和生物利用度(F)。清除率与体重之间的异速生长方程中的指数为0.63至0.82,相关系数较高(r >.98),三种方法在预测性方面无明显差异。接下来,我们通过以下一系列步骤尝试预测口服给药后人体血浆浓度曲线范围:(1)根据动物数据计算体重与参数(如全身血浆清除率(CLi.v.)和各种分布容积(Vss、Vβ和Vc))之间异速生长关系中的指数和系数;(2)根据体重的异速生长关系估算吸收速率常数(ka),并根据预测的AUCp.o.估算F值;(3)通过包含异速生长指数和系数、ka、F和体重的方程描述口服给药后的血浆浓度 - 时间曲线。观察到的和模拟的血浆浓度曲线相似,预测的AUCp.o.值为观察值的60%至120%。这些方法将有助于从动物数据预测口服给药后的人体药代动力学。