Interspecies allometric scaling. Part I: prediction of clearance in large animals

被引:51
作者
Mahmood, I. [1 ]
Martinez, M.
Hunter, R. P.
机构
[1] US FDA, Ctr Drug Evaluat & Res, Off Drug Evaluat 6,Woodmont Off Ctr 2, Clin Pharmacol & Toxicol Branch HFD 579, Rockville, MD 20852 USA
[2] US FDA, Ctr Vet Med, Off New Anim Drug Evaluat, Div Therapeut Drugs Food Anim HFV 130, Rockville, MD 20852 USA
[3] Elanco Anim Hlth, Vet Safety ADME, Greenfield, IN USA
关键词
D O I
10.1111/j.1365-2885.2006.00786.x
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Interspecies scaling is a useful tool for the prediction of pharmacokinetic parameters from animals to humans, and it is often used for estimating a first-time in human dose. The knowledge of pharmacokinetics in veterinary species is important for dosage selection, particularly in the treatment of large zoo animal species, such as elephants, giant cats and camels, for which pharmacokinetic data are scant. Therefore, the accuracy in clearance predictions in large animal species, with and without the use of correction factors (rule of exponents), and the impact of species selection in the prediction of clearance in large animal species was examined. Based upon this analysis, it was determined that there is a much larger risk of inaccuracies in the clearance estimates in large animal species when compared with that observed for humans. Unlike in humans, for large animal species, correction factors could not be applied because there was no trend between the exponents of simple allometry and the appropriate correction factor for improving our predictions. Nevertheless, we did see an indication that the exponents of simple allometry may alert us as to when the predicted clearance in the large animal may be underestimated or overpredicted. For example, if a large animal is included in the scaling, the predicted clearance in a large animal should be considered overestimated if the exponent of simple allometry is > 1.3. Despite the potential for extrapolation error, the reality is that allometric scaling is needed across many veterinary practice situations, and therefore will be used. For this reason, it is important to consider mechanisms for reducing the risk of extrapolation errors that can seriously affect target animal safety, therapeutic response, or the accuracy of withdrawal time predictions.
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收藏
页码:415 / 423
页数:9
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