Chiou W L, Robbie G, Chung S M, Wu T C, Ma C
Department of Pharmaceutics and Pharmacodynamics, College of Pharmacy, University of Illinois at Chicago 60612, USA.
Pharm Res. 1998 Sep;15(9):1474-9. doi: 10.1023/a:1011974226596.
To evaluate the distribution of allometric exponents for relationship of total plasma clearance of 54 extensively metabolized drugs, with wide-ranging linear clearance values, between humans and rats, to provide a rationale for the observed data, and to discuss potential significance of the findings.
Human and rat plasma clearance values of 54 drugs with markedly different physicochemical properties were obtained from the literature. Standard allometric analysis was performed for each drug using both rat and human data. Unbound vs. total plasma clearances were obtained for 15 out of 54 drugs and their correlations between humans and rats were compared.
The mean+/-SD of the allometric exponent for the 54 drugs studied is 0.660+/-0.190. The median clearance ratio based on unit body weight is 7.41 and the median exponent is 0.645. Excluding two outliers the correlation coefficient of plasma clearance between humans and rats was 0.745 (p < 0.0001). For the 15 drugs, use of unbound plasma clearance approach seems to significantly improve the correlation coefficient compared to total plasma clearance (0.940 vs. 0.841).
The present study indicates that on average, humans and rats may eliminate extensively metabolized drugs at a rate similar to that expected from the allometric or body surface area relationship of basal metabolic rate between the two species. A simple statistical distribution hypothesis is used to rationalize the species difference in plasma drug clearance. Rat may serve as an useful animal model to predict (unbound) plasma clearance of drugs in humans.
评估54种广泛代谢药物的总血浆清除率与体表面积指数之间的关系,这些药物的线性清除率值范围广泛,比较人与大鼠之间的差异,为观察到的数据提供理论依据,并讨论研究结果的潜在意义。
从文献中获取54种理化性质明显不同的药物的人和大鼠血浆清除率值。对每种药物使用大鼠和人类数据进行标准体表面积分析。获得54种药物中15种药物的非结合与总血浆清除率,并比较人与大鼠之间的相关性。
所研究的54种药物的体表面积指数的平均值±标准差为0.660±0.190。基于单位体重的清除率中位数为7.41,指数中位数为0.645。排除两个异常值后,人与大鼠血浆清除率的相关系数为0.745(p<0.0001)。对于15种药物,与总血浆清除率相比,使用非结合血浆清除率方法似乎显著提高了相关系数(0.940对0.841)。
本研究表明,平均而言,人与大鼠可能以与两种物种基础代谢率的体表面积关系或体表面积关系预期相似的速率消除广泛代谢的药物。使用简单的统计分布假设来解释血浆药物清除率的物种差异。大鼠可作为预测人类药物(非结合)血浆清除率的有用动物模型。