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基于大鼠数据预测人体中各种药物的血药浓度-时间过程。

Prediction of the plasma concentration time courses of various drugs in humans based on data from rats.

作者信息

Sawada Y, Harashima H, Hanano M, Sugiyama Y, Iga T

出版信息

J Pharmacobiodyn. 1985 Sep;8(9):757-66. doi: 10.1248/bpb1978.8.757.

Abstract

The concentrations of seven drugs, i.e., phenobarbital (PB), phenytoin (DPH), hexobarbital (HXB), quinidine (QD), tolbutamide (TB), valproate (VA), and diazepam (DZP) in human plasma were predicted by a physiologically-based pharmacokinetic model using the intrinsic clearance of unbound drug and the tissue-to-plasma unbound concentration ratios extrapolated from rat data, and the plasma protein binding, blood-to-plasma concentration ratios and physiological parameters in humans. The predicted concentration curves of DPH, HXB, QD and PB in human plasma showed comparatively good agreements with the observed values except for TB, VA and DZP, for which the area under concentration-time curves (AUC) were overestimated or underestimated.

摘要

通过基于生理的药代动力学模型,利用未结合药物的内在清除率、从大鼠数据外推得到的组织与血浆未结合浓度比,以及人体的血浆蛋白结合率、血药浓度比和生理参数,预测了人体血浆中七种药物的浓度,即苯巴比妥(PB)、苯妥英(DPH)、己巴比妥(HXB)、奎尼丁(QD)、甲苯磺丁脲(TB)、丙戊酸盐(VA)和地西泮(DZP)。人体血浆中DPH、HXB、QD和PB的预测浓度曲线与观测值显示出较好的一致性,但TB、VA和DZP除外,其浓度-时间曲线下面积(AUC)被高估或低估。

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