Lave T, Levet-Trafit B, Schmitt-Hoffmann A H, Morgenroth B, Richter W, Chou R C
Hoffmann-LaRoche, Basel, Switzerland.
J Pharm Sci. 1995 Nov;84(11):1285-90. doi: 10.1002/jps.2600841106.
Interspecies scaling is used to extrapolate pharmacokinetic parameters from animals to humans, through the application of physiologically based models, by empirical allometric procedures, or using concentration-time transformations. The aim of this study was to compare the accuracies of the last two methods for predicting the pharmacokinetic parameters and concentration-time curves in humans. In the first part of this study, interspecies scaling techniques were applied to a hypothetical drug (extracellular distribution and elimination through glomerular filtration), to examine the influence of various laboratory animals (mouse, rat, cynomolgus monkey and dog) on the parameters predicted for man. The same techniques were also applied to interferon-alpha A, using the literature data for various animal species. The kinetic parameters predicted in man were then compared to the values published for man. Our theoretical example showed that, for allometric scaling, each species has a very different influence on the prediction in human. With the approach using concentration-time transformations, however, each animal species potentially makes a similar contribution to the prediction for man. Based on the pharmacokinetic data published for interferon-alpha A in laboratory animals, allometric equations underestimated the observed values of CL and Vdss in man by 2-3-fold, and the prediction of t1/2 was likely to be unreliable, due to a poor correlation. The use of equivalent time, kallynochron, and apolysichron transformations improved the pharmacokinetic predictions for all three parameters in man. In conclusion, concentration-time transformations make more adequate use of the data available in the different species of laboratory animals, to give better predictions of the pharmacokinetic parameters in man.
种间缩放用于通过应用基于生理学的模型、经验性的异速生长程序或使用浓度-时间转换,将药代动力学参数从动物外推至人类。本研究的目的是比较后两种方法预测人类药代动力学参数和浓度-时间曲线的准确性。在本研究的第一部分,将种间缩放技术应用于一种假设药物(通过肾小球滤过进行细胞外分布和消除),以研究各种实验动物(小鼠、大鼠、食蟹猴和狗)对预测的人类参数的影响。还将相同的技术应用于α-干扰素A,使用各种动物物种的文献数据。然后将预测的人类动力学参数与已发表的人类值进行比较。我们的理论示例表明,对于异速生长缩放,每个物种对人类预测的影响非常不同。然而,对于使用浓度-时间转换的方法,每个动物物种对人类预测的潜在贡献相似。根据在实验动物中发表的α-干扰素A的药代动力学数据,异速生长方程将人类中观察到的CL和Vdss值低估了2至3倍,并且由于相关性较差,t1/2的预测可能不可靠。使用等效时间、kalynochron和apolysichron转换改善了对人类所有三个参数的药代动力学预测。总之,浓度-时间转换更充分地利用了不同种类实验动物中可用的数据,从而能更好地预测人类的药代动力学参数。