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基于正辛醇-水分配系数预测碱性药物临床药代动力学的变化

Prediction of changes in the clinical pharmacokinetics of basic drugs on the basis of octanol-water partition coefficients.

作者信息

Ishizaki J, Yokogawa K, Nakashima E, Ichimura F

机构信息

Hospital Pharmacy, Graduate School of Pharmaceutical Sciences, Kanazawa University, Japan.

出版信息

J Pharm Pharmacol. 1997 Aug;49(8):762-7. doi: 10.1111/j.2042-7158.1997.tb06108.x.

Abstract

A physiologically based pharmacokinetic model for basic drugs has been established on the basis of octanol-water partition coefficients of the non-ionized, unbound drugs (Poct). The parameters for the physiological model in man were estimated from a regression equation obtained for the relationships between the Poct and the tissue-plasma partition coefficient, the hepatic intrinsic clearance (CLint,h) and the blood-to-plasma concentration ratio in rabbits. The plasma concentrations observed after intravenous administration of ten basic drugs (3.2 mg kg-1) to rabbits agreed with the levels predicted using the physiological model (r = 0.710-0.980). In man, the predicted plasma concentrations of basic drugs were in good agreement with reported values (r = 0.729-0.973), except for diazepam and pentazocine. Variations in plasma and brain-concentration profiles of clomipramine and nitrazepam in various disease states were simulated using the model. We assumed that the changes in unbound fraction of drug in serum (fp), CLint,h and the hepatic blood flow rate were from 0.25- to 4-fold that of the control and that fat volume changed by 0.2- to 5-fold. With regard to changes in fp, we predicted that the brain-plasma concentration ratio of clomipramine was 1.5- to 25-fold that of the control 24 h after intravenous administration, although the variations in the plasma concentration-time profiles were less marked. Plasma concentrations predicted for several basic drugs were in good agreement with reported values and this physiological model could be useful for predicting drug-disposition kinetics in man.

摘要

基于非离子化、未结合药物的正辛醇-水分配系数(Poct),建立了碱性药物的生理药代动力学模型。人体生理模型的参数是根据从兔子的Poct与组织-血浆分配系数、肝脏内在清除率(CLint,h)以及血-浆浓度比之间的关系获得的回归方程估算出来的。给兔子静脉注射10种碱性药物(3.2 mg·kg-1)后观察到的血浆浓度与使用该生理模型预测的水平相符(r = 0.710 - 0.980)。在人体中,除地西泮和喷他佐辛外,碱性药物的预测血浆浓度与报道值高度一致(r = 0.729 - 0.973)。使用该模型模拟了氯米帕明和硝西泮在各种疾病状态下血浆和脑浓度曲线的变化。我们假设血清中药物未结合分数(fp)、CLint,h和肝血流量的变化为对照值的0.25至4倍,脂肪体积变化为对照值的0.2至5倍。关于fp的变化,我们预测静脉注射后24小时,氯米帕明的脑-血浆浓度比为对照值的1.5至25倍,尽管血浆浓度-时间曲线的变化不太明显。几种碱性药物预测的血浆浓度与报道值高度一致,该生理模型可用于预测人体中的药物处置动力学。

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