摘要
目的:从药性角度分析抗衰老中药并阐释不同类别的药性特征。方法:从知网中检索相关文献,收集了51味抗衰老中药,基于药性数据用ward法聚类研究。结果:这些药被分为十类,第一类性寒味苦归肝经,清肝火;第二类性寒味苦归脾经,清脾热;第三类性寒味甘,滋阴;第四、五、六类分别为性平归肝经,性平味甘归肺经和性平味甘归脾经,平补肝、肺、脾;第七类味甘归肾经,补肾气;第八类性温归脾经,补脾气;第九类性温味辛归肾经,补肾祛寒;第十类性温味甘归肾经,补肾阳。结论:抗衰老中药基于药性被分为十类,每类作用途径不同,体现了抗衰老中药的药性特征,适应于治疗不同的衰老患者。此外,对抗衰老药的分类有助于辨证和配伍使用,达到辅助治疗疾病的目的,这些发现可为抗衰老的研究提供线索。
Objective：Analysis of anti-aging traditional Chinese medicine from the point of drug properties and explain the different types of drug characteristics.METHODS：The related literatures were derived from CNKI,and 51 traditional Chinese medicines were collected,then the ward method cluster analysis was carried out based on the property of a medicine data.Results：These drugs were divided into ten categories,the first kind of cold,bitter taste,liver meridian,can clear the liver;the second kinds of cold,bitter,spleen meridian,can clear splenopyretic;the third types of cold,sweet,nourishing yin;the fourth,five and six types were flat meridian,flat sweet lung channel and flat sweet Spleen meridian,can nourishing liver,lung and spleen respectively;the seventh kinds of taste,to the kidney,can tonifying kidney-Qi;the eighth kinds of warm-natured,Spleen meridian,can fill the spleen meridian;the ninth kinds of warmnatured,spicy,to the kidney,tonifying kidney and dispelling cold;the tenth kinds of warm sweet to the kidney,tonifying kidney yang.Conclusion：The anti-aging traditional Chinese medicine was divided into ten categories based on the property of a medicine,the role of each type is different ways,reflecting the characteristics of anti-aging herbs.Adapt to the treatment of different aging patients.Through the classification of anti-aging drugs,it can be used to assist in the treatment of diseases,which provide clues for the study of anti-aging.
出处
《世界科学技术-中医药现代化》
CSCD
2017年第10期1713-1717,共5页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
国家自然科学基金资助项目(81373985):药性组合三联密码子的作用规律及其应用研究
负责人:王耘
关键词
抗衰老
中药
药性组合
数据挖掘
配伍
anti-aging, traditional Chinese medicine, herbal combination, data mining, compatibility
