摘要
为探讨泻白散类方组方配伍规律,该研究搜集整理古今泻白散类方,运用无尺度复杂网络方法,以及关联规则、聚类分析和对应分析等数据挖掘方法,对泻白散类方用药配伍特点,核心方药,以及药性气味相关性进行分析。无尺度复杂网络结果显示泻白散类方是以桑白皮-地骨皮-甘草为核心,与加味药物形成的复杂网络配伍关系;关联规则结果显示泻白散类方核心药物主要有桑白皮、地骨皮、甘草、黄芩、桔梗、知母、杏仁等,并形成相应药对及药组配伍;聚类分析结果表明泻白散类方是以桑白皮为核心药物,且以桑白皮-地骨皮-甘草为主要组方单位,配伍以清热化痰、益气养阴、凉血生津、培土生金等药物形成衍化系列。以上结果表明泻白散类方的核心配伍特点为清泻肺热、止咳平喘,并且以清中有润、泻中有补形成衍化系列,为临床应用泻白散类方的辨证施治提供依据。
In order to explore the compatible principles of Xiebai decoction family,formulae from ancient and modern Xiebai decoction family were collected and sorted in this study. The compatible characteristics,core herbs,as well as the relativity of herbs nature in Xiebai decoction family were analyzed based on scale free network and other data-mining methods such as association rules,clustering analysis and correspondence analysis. The scale free network results showed that in Xiebai decoction family,Mori Cortex-Lycii Cortex-Glycyrrhizae Radix et Rhizoma was used as the core compatible group and formed the complicated compatible network with other additional herbs; association rules results showed that the core herbs in such formulae included Mori Cortex,Lycii Cortex,Glycyrrhizae Radix et Rhizoma,scutellaria root,Platycodon root,Anemarrhena,and almond,which formed corresponding herbal pairs and compatibility; clustering analysis showed that Mori Cortex was the core herb in Xiebai decoction family,and Mori Cortex-Lycii Cortex-Glycyrrhizae Radix et Rhizoma was its main combination unit,which was always compatible with herbs of clearing heat,reducing phlegm,supplementing Qi and nourishing Yin to form the series prescriptions. The results indicated that the core compatibility features of Xiebai decoction family were clearing heat in lung and relieving cough and asthma,providing a basis for the clinical application of Xiebai decoction family.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2017年第9期1787-1791,共5页
China Journal of Chinese Materia Medica
基金
国家自然科学基金项目(81473580)
江苏省优势学科建设项目(PAPD)(2014106)
江苏省中药资源产业化过程协同创新中心重点项目(FJGJS201506)
关键词
泻白散类方
配伍规律
无尺度复杂网络
关联规则
聚类分析
对应分析
Xiebai decoction family
compatible principles
complex network analysis
association rules
cluster analysis
correspondence analysis