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将大鼠的基本毒代动力学参数外推至人体。

Scaling basic toxicokinetic parameters from rat to man.

作者信息

Bachmann K, Pardoe D, White D

机构信息

Department of Pharmacology, University of Toledo, OH 43606, USA.

出版信息

Environ Health Perspect. 1996 Apr;104(4):400-7. doi: 10.1289/ehp.96104400.

Abstract

Scaling of the quantified dispositional parameters of xenobiotics from animals to man is of interest from the standpoint of toxicology (e.g., poisoning and risk assessment). Scaling is also important from the standpoint of therapeutics because it represents a strategy for predicting first-use-in-human doses in clinical trials of investigational new drugs. Current strategies for scaling either doses of xenobiotics or the dispositional parameters of xenobiotics from animals to man rely on models that take account principally of species differences in weight or body surface area. Interspecies scaling of dispositional parameters such as clearance or volume of distribution commonly involves the comparison of estimates of these parameters for a given xenobiotic among numerous species on the basis of weight with the resultant mathematical relationship used to predict the values of those parameters for that xenobiotic in a species weighing, on average, about 70 kg (i.e., a man). Our approach has been to ascertain whether a useful mathematical model could be developed for predicting the dispositional parameters of a xenobiotic, its half-life and volume of distribution, in humans based exclusively on estimates of those parameters in rats. Based on a data set of about 100 different xenobiotics, we found that values for half-life and volume of distribution of a xenobiotic in humans can be predicted from the estimates of those parameters in rats.

摘要

从毒理学角度(如中毒和风险评估)来看,将外源性物质的定量处置参数从动物推算至人类很有意义。从治疗学角度来看,推算也很重要,因为它是预测新药临床试验中首次人体用药剂量的一种策略。目前将外源性物质的剂量或其处置参数从动物推算至人类的策略依赖于主要考虑体重或体表面积物种差异的模型。处置参数(如清除率或分布容积)的种间推算通常涉及基于体重对众多物种中给定外源性物质的这些参数估计值进行比较,并利用所得数学关系预测该外源性物质在平均体重约70千克的物种(即人类)中的那些参数值。我们的方法是确定是否可以专门基于大鼠中那些参数的估计值来开发一个有用的数学模型,用于预测人类中外源性物质的处置参数、其半衰期和分布容积。基于约100种不同外源性物质的数据集,我们发现人类中外源性物质的半衰期和分布容积值可以根据大鼠中那些参数的估计值来预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/795e/1469326/afbdecc33483/envhper00335-0061-a.jpg

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