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关于“用于预测人体药物清除率的异速生长中校正因子功能的数学描述”的评论

Comments on "a mathematical description of the functionality of correction factors used in allometry for predicting human drug clearance".

作者信息

Mahmood Iftekhar

出版信息

Drug Metab Dispos. 2006 Mar;34(3):507-9; author reply 510-1. doi: 10.1124/dmd.105.007187.

Abstract

In a recent paper, Tang and Mayersohn [(2005) Drug Metab Dispos 33:1294-1296] mathematically described the functionality of the correction factors (CFs), maximum life-span potential (MLP), and brain weight (BrW) used in allometric scaling for the prediction of human drug clearance. They found that there is an intrinsic defect in using correction factors because different combinations of species will produce different prediction results. Analysis with real examples reveals that different predicted clearance values observed with different combinations of animal species, with or without CFs, are not due to the intrinsic defect of the correction factors; rather, it is the effect of the species, observed clearance values in the species, and the range of the body weights. Even if one does not use the CF, the predicted clearance by the simple allometry will still vary by severalfold, depending on the species used in the scaling.

摘要

在最近的一篇论文中,唐和迈尔索恩[(2005年)《药物代谢与处置》33:1294 - 1296]从数学角度描述了用于预测人体药物清除率的异速生长比例缩放中校正因子(CFs)、最大寿命潜力(MLP)和脑重量(BrW)的功能。他们发现使用校正因子存在内在缺陷,因为不同物种组合会产生不同的预测结果。通过实际例子分析表明,无论是否使用校正因子,不同动物物种组合观察到的不同预测清除率值,并非由于校正因子的内在缺陷;相反,这是物种、该物种中观察到的清除率值以及体重范围的影响。即使不使用校正因子,简单异速生长法预测的清除率仍会因用于比例缩放的物种不同而相差数倍。

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