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采用结构方程模型定量分析麻黄汤的组方原理。

Quantitatively analyze composition principle of Ma Huang Tang by structural equation modeling.

机构信息

Zhejiang Chinese Medical University, Hangzhou 310053, China.

出版信息

J Ethnopharmacol. 2012 Oct 11;143(3):851-8. doi: 10.1016/j.jep.2012.08.010. Epub 2012 Aug 20.

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE

In Chinese classic formulas, Ma Huang Tang (MHT), composed of Ephedra, Cassia twig, Bitter apricot kernel and Prepared licorice, has been widely used to treat cold, influenza, acute bronchitis, bronchial asthma and other pulmonary diseases. However, there is no quantitative interpretation about composition principle of MHT as well as other Chinese compound prescriptions. This study was aimed using structural equation modeling (SEM) to decipher 'monarch, minister, assistant and guide' which is the unique and integrated composition principle of Chinese compound recipes, by taking MHT for instance.

MATERIALS AND METHODS

Sixteen prescriptions of different dose ratios were combined orthogonally from four herbal drugs of MHT, then their diaphoretic, antispasmodic and analgesic effects were assessed by the indicators of the rat sweating point number, the spasmolysis percentage of guinea pig trachea and the murine writhing number, respectively. Basing on SME, the systematology analysis method to complex causality, path diagrams for herbal drugs were drawn with the Amos software and the relationships of the four herbal ingredients and therapeutic effects were measured.

RESULTS

Sixteen recipes induced SD rats sweating, remitted spasm of guinea pig trachea smooth muscle, and relieved ICR mouse pain due to acetic acid in comparison with animal model group or normal control groups. Three different SME models were specified and the relevant relationship was analyzed. According to the results of measured standardized path coefficients, Ephedra exerts the greatest contribution to the integral potency, so it acts as the monarch drug in MHT; Cassia twig is slightly weakly effective than Ephedra, and has the most significant interaction with Ephedra, which shows that it is the minister drug; the direct effects of Bitter apricot kernel and Prepared licorice on the integral potency are non-significant, while these two drugs have very significant synergetic effect with Ephedra or Cassia twig, thus they can be interpreted as subordinate drugs to strengthen the therapeutical effects of the monarch and minister drugs; the higher interaction values of Bitter apricot kernel suggest that it is the assistant drug, and Prepared licorice is the guide drug with lower values.

CONCLUSION

SME can be used to quantitatively analyze the composition principle of Chinese compound prescriptions like MHT, which demystifies the ancient and classical system theory of traditional Chinese medicine from a totally new viewpoint.

摘要

民族药理学相关性

在中国经典方剂中,麻杏石甘汤(MHT)由麻黄、桂枝、苦杏仁和炙甘草组成,被广泛用于治疗感冒、流感、急性支气管炎、支气管哮喘和其他肺部疾病。然而,对于 MHT 以及其他中药复方的组成原理,并没有定量解释。本研究旨在采用结构方程模型(SEM),以麻杏石甘汤为例,破译“君、臣、佐、使”这一独特而综合的中药复方组成原理。

材料与方法

从麻杏石甘汤的四种草药中正交组合 16 种不同剂量比的方剂,然后通过大鼠出汗点数、豚鼠气管平滑肌痉挛抑制率和小鼠扭体数的指标,评估其发汗、抗痉挛和解痉作用。基于 SEM,采用复杂因果关系的系统学分析方法,利用 Amos 软件绘制草药路径图,并测量四种草药成分与治疗效果的关系。

结果

与动物模型组或正常对照组相比,16 种方剂可诱导 SD 大鼠出汗,缓解豚鼠气管平滑肌痉挛,缓解 ICR 小鼠因醋酸引起的疼痛。确定了三个不同的 SME 模型,并对相关关系进行了分析。根据测量的标准化路径系数的结果,麻黄对整体药效的贡献最大,因此它是 MHT 中的君药;桂枝的药效稍弱于麻黄,但与麻黄的相互作用最显著,表明它是臣药;苦杏仁和炙甘草对整体药效的直接作用不显著,但这两种药物与麻黄或桂枝有非常显著的协同作用,因此可以将其解释为增强君药和臣药疗效的佐药;苦杏仁的相互作用值较高,表明其为使药,炙甘草的相互作用值较低,为引药。

结论

SME 可用于定量分析像 MHT 这样的中药复方的组成原理,从全新的角度揭示了传统中医古老而经典的系统理论。

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