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种间异速生长比例关系:大型动物物种清除率的预测:第二部分:数学考量

Interspecies allometric scaling: prediction of clearance in large animal species: part II: mathematical considerations.

作者信息

Martinez M, Mahmood I, Hunter R P

机构信息

Division of Therapeutic Drugs for Food Animals (HFV-130), Office of New Animal Drug Evaluation, Center for Veterinary Medicine, Food & Drug Administration, Rockville, MD 20855, USA.

出版信息

J Vet Pharmacol Ther. 2006 Oct;29(5):425-32. doi: 10.1111/j.1365-2885.2006.00787.x.

Abstract

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. However, it is important to appreciate the mathematical underpinnings of this scaling procedure when using it to predict pharmacokinetic parameter values across animal species. When cautiously applied, allometry can be a tool for estimating clearance in veterinary species for the purpose of dosage selection. It is particularly valuable during the selection of dosages in large zoo animal species, such as elephants, large cats and camels, for which pharmacokinetic data are scant. In Part I, allometric predictions of clearance in large animal species were found to pose substantially greater risks of inaccuracies when compared with that observed for humans. In this report, we examine the factors influencing the accuracy of our clearance estimates from the perspective of the relationship between prediction error and such variables as the distribution of body weight values used in the regression analysis, the influence of a particular observation on the clearance estimate, and the 'goodness of fit' (R(2)) of the regression line. Ultimately, these considerations are used to generate recommendations regarding the data to be included in the allometric prediction of clearance in large animal species.

摘要

种间缩放是一种用于预测从动物到人类药代动力学参数的有用工具,并且它经常被用于估算首次人体给药剂量。然而,在使用它来预测跨动物物种的药代动力学参数值时,理解这种缩放程序的数学基础很重要。谨慎应用时,异速生长法可作为一种工具,用于估算兽医物种的清除率以进行剂量选择。在选择大象、大型猫科动物和骆驼等大型动物园动物物种的剂量时,它特别有价值,因为这些物种的药代动力学数据很少。在第一部分中,与人类相比,发现大型动物物种清除率的异速生长预测存在明显更大的不准确风险。在本报告中,我们从预测误差与回归分析中使用的体重值分布、特定观察对清除率估计的影响以及回归线的“拟合优度”(R²)等变量之间的关系角度,研究影响我们清除率估计准确性的因素。最终,这些考虑因素被用于就大型动物物种清除率异速生长预测中应包含的数据提出建议。

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