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中国临床药理学与治疗学 ›› 2012, Vol. 17 ›› Issue (9): 1010-1014.

• 定量药理学 • 上一篇    下一篇

多元回归模型对泽泻调脂颗粒组方的定量评价

黄继汉1, 尹芳1, 李云飞1, 何迎春1, 张密1, 刘成海2, 刘红霞1   

  1. 1上海中医药大学药物临床研究中心,上海201203;
    2上海中医药大学附属曙光医院肝病研究所,上海 201203
  • 收稿日期:2012-02-17 修回日期:2012-04-30 发布日期:2012-09-25
  • 通讯作者: 刘红霞,通信作者,女,高级统计师,研究方向:生物统计学与电子化数据管理。Tel: 021-51323006 E-mail: hongxia.liu@drugchina.net
  • 作者简介:黄继汉,男,博士,研究方向:临床药理学和定量药理学。Tel: 021-51322420 E-mail: whhuangjh@163.com
  • 基金资助:
    国家科技支撑计划项目(2008BAI51B03); 上海市教委重点学科项目(J50303); 上海市高校E 研究院项目 (E03008)

The quantitative evaluation of the Zexie Tiaozhi granule formulation through multiple regression model

HUANG Ji-han1, YIN Fang1, LI Yun-fei1, HE Ying-chun1, ZHANG Mi1, LIU Cheng-hai2, LIU Hong-xia1   

  1. 1Center of Drug Clinical Research, Shanghai University of Chinese Medicine, Shanghai 201203, China;
    2Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Chinese Medicine, Shanghai 201203, China
  • Received:2012-02-17 Revised:2012-04-30 Published:2012-09-25

摘要: 目的 基于泽泻调脂颗粒不同配伍对高脂血症大鼠模型影响的实验数据,采用非线性混合效应模型方法进行再分析,定量评价其配伍规律,为优化组方提供参考。方法 泽泻调脂颗粒4个主要成分通过均匀设计,药效指标为大鼠血清中甘油三酯(TG),采用非线性混合效应模型(NONMEM)分析。结果 最终模型提示X1为主要起效成分,X3为拮抗组分,X2与X4单独量效关系不明确,疗效主要体现于交互作用上。综合以上3点,当X1、X2、X4取最大剂量,X3取最小剂量时,组方有最大药效。结论 采用NONMEM分析方法,可全面考虑各组分间交互作用及个体间和个体内误差等随机效应,提供的信息量更大。

关键词: 多元回归, 非线性混合效应, 最优组方, 模拟

Abstract: AIM: The nonlinear mixed effect model (NONMEM) was applied in the analysis of Traditional Chinese Medicine (TCM) formula, based on the data of different compatibility of Zexie Tiaozhi granule in treatment of hyperlipidemia rat model. The compatible regularity of Zexie Tiaozhi granule was evaluated quantitatively and the result can be used as a reference to formula optimization. METHODS: The four main compositions of Zexie Tiaozhi granule were combined in uniform design and analyzed by NONMEM. The TG in serum was treated as the pharmacodynamics index.RESULTS: Final model suggested that X1 was the primary effective composition and X3 was an antagonistic composition. The dose-effect relationship of X2 and X4 was not clear, and the efficacy was mainly expressed in the interaction between compositions. Based on the above, we recommended that the formula will perform maximum efficacy when X1, X2 and X4 take the maximum dose and X3 take the minimum dose. CONCLUSION: The application of NONMEM in analysis of TCM formula can investigate the interactions among compositions and the random effects like inter individual and intra individual variations comprehensively, which can provide vast quantities of information.

Key words: Multiple regression, Nonlinear mixed effect model, Formula optimization, Simulation

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