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靶向给药系统的多室线性循环药物动力学模型研究

张志荣, 永井恒司   

  1. 1.华西医科大学药学院, 成都 610044;
    2.日本星药科大学药学系
  • 收稿日期:1995-11-01 修回日期:1996-05-06 出版日期:1996-06-15 发布日期:1996-06-15

A Study on the Multi-Compartment Linear Circulation Pharmacokinetic Model for the Targeting Drug Delivery System

Zhi-Rong Zhang, Tsuneji Nagai   

  1. 1. School of Pharmacy; West China University of Medical Sciences; Chengdu 610044;
    2.Department of Pharmaceutics; Hoshi University; Ebara; Shinagawa-KU; Tokyo 142; Japan
  • Received:1995-11-01 Revised:1996-05-06 Online:1996-06-15 Published:1996-06-15

摘要: 作者建立了靶向给药系统的多室线性循环药物代谢动力学模型。导出了血药浓度(时间和靶药浓度(时间函数关系式。据此, 可由血药浓度(时间数据求算靶药浓度(时间曲线, 并据后者给出靶器官的药代动力学参数。用肝靶向毫微粒动物实验获得的血药浓度(时间曲线和肝药浓度(时间曲线验证了该模型, 结果满意。本文还提出用相对靶向性参数作为靶向给药系统靶向性定量评价参数, 也对模型的特点进行了讨论。

关键词: 靶向给药系统药动学模型, 多室线性循环模型, 相对靶向性参数

Abstract: By analyzing the observed phenomena and the data collected in the study, a multi-compartment linear circulation model for targeting drug delivery system was developed and the function formulas of the drug concentration-time in blood and target organ by computing were figured out. The drug concentration-time curve for target organ can be plotted with reference to the data of drug concentration in blood according to the model. The pharmacokinetic parameters of the drug in target organ could also be obtained. The practicability of the model was further checked by the curves of drug concentration-time in blood and target organ(liver) of liver-targeting nanoparticles in animal tests. Based on the liver drug concentration-time curves calculated by the function formula of the drug in target organ, the pharmacokinetic behavior of the drug in target organ(liver) was analyzed by statistical moment, and its pharmacokinetic parameters in liver were obtained. It is suggested that the (relative targeting index" can be used for quantitative evaluation of the targeting drug delivery systems.

Key words: Pharmacokinetic model for targeting drug delivery systems, Multi-compartment linear circulation pharmacokinetic model, Relative targeting index

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