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从体外数据预测体内药物清除率。I:个体间变异性的影响。

Prediction of in vivo drug clearance from in vitro data. I: impact of inter-individual variability.

作者信息

Howgate E M, Rowland Yeo K, Proctor N J, Tucker G T, Rostami-Hodjegan A

机构信息

Simcyp Ltd, Blades Enterprise Centre, Sheffield, UK.

出版信息

Xenobiotica. 2006 Jun;36(6):473-97. doi: 10.1080/00498250600683197.

Abstract

The Simcyp Population-Based ADME Simulator was used to predict median drug clearances and their associated variance from in vitro data. Fifteen drugs satisfied the entry criteria for the study and the relevant information (in vitro metabolism data and in vivo human clearance values) were collated from the literature. Predicted values of median clearances fell within 2-fold of observed values for 73% of the drugs (oral route) and 78% of the drugs (intravenous route) when microsomal binding was disregarded, and for 93% (oral) and 100% (intravenous) when it was considered. Irrespective of whether microsomal binding was considered, the predicted fold variability fell within 2-fold of the observed variability for 80% (oral) and 67% (intravenous) of the drugs.

摘要

基于Simcyp群体的ADME模拟器用于根据体外数据预测药物清除率中位数及其相关方差。15种药物满足该研究的纳入标准,并从文献中整理了相关信息(体外代谢数据和体内人体清除率值)。当不考虑微粒体结合时,73%的药物(口服途径)和78%的药物(静脉途径)的清除率中位数预测值落在观察值的2倍范围内;当考虑微粒体结合时,这一比例分别为93%(口服)和100%(静脉)。无论是否考虑微粒体结合,80%(口服)和67%(静脉)的药物的预测倍数变异性落在观察变异性的2倍范围内。

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