摘要
目的:基于麻黄汤不同配伍对大鼠发汗影响的实验数据,采用模型化与模拟化方法进行再分析,提取更多信息,阐明其配伍规律,为优化组方提供参考。方法:麻黄汤4个组分为L14(24+)正交设计,1水平为"使用",0水平为"不使用",药效指标为大鼠腋窝皮肤汗腺空泡发生率为作用指数。采用正交模拟法与非线性混合效应模型(NONMEM),分析各组分在复方背景下的重要程度和相互作用。模拟偏倚由4种视图及单组分实验结果综合评价。结果:麻黄汤各组分对大鼠发汗作用的药效影响按重要程度排序依次是桂枝(B)、麻黄(A)、杏仁(C)和甘草(D),药效最佳组合为麻黄+桂枝,最弱组合为杏仁+甘草。结论:麻黄汤发汗作用药效贡献最大的为麻黄、桂枝,且两者作用相当,发挥最佳发汗作用须两者联用。
AIM： To analyze pharmacodynamic interaction on diaphoretic effects among the components from Mao-to for finding an optimal combination. METHODS： According to the four components that included in Mao-to, an orthogonal design with l-level = used and 0-level = not used, was selected in L14 （24） and a mathematical model was built up with the nonlinear mixed effect model （NONMEM） for rat experiment. Vacuole incidence of axillary sweat gland was determined to evaluate the diaphoretic effect. The importance and effectiveness of each component were analyzed in combinations and the bias was evaluated by some charts. RESULTS：The prediction model showed that it would be Cassia Twig （B）, Ephedra （A）, Apricot （C）, and Liquorice （D） in order by the importance and the best combination is A plus B, while the worst is C combined with D. CONCLUSION： Ephedra and Cassia Twig in combination have significant diaphoretic effect in rats, andthe combination will show better effect in corn parison with any single component.
出处
《中国临床药理学与治疗学》
CAS
CSCD
2011年第7期763-768,共6页
Chinese Journal of Clinical Pharmacology and Therapeutics
关键词
麻黄汤
配伍
模拟
定量分析
Mao-to
Compound
Simula tion
Pharmacodynamic interactions
