|本期目录/Table of Contents|

[1]王倩 傅延龄 陈文强 黄小波.基于葛根芩连汤药效组分含量测定文献的中药处方用量控制研究[J].环球中医药,2017,10(08):831-835.[doi:10.3969/j.issn.1674-1749.2017.08.007]
　WANG Qian,FU Yanling,CHEN Wenqiang,et al.Research on dosage control of traditional Chinese medicine based on the content determination of active components alignment of Gegen Qinlian decoction[J].,2017,10(08):831-835.[doi:10.3969/j.issn.1674-1749.2017.08.007]
点击复制

基于葛根芩连汤药效组分含量测定文献的中药处方用量控制研究()
     
分享到：

《环球中医药》[ISSN:1006-6977/CN:61-1281/TN]

卷:
第10卷
期数:
2017年08期
页码:
831-835
栏目:
论著
出版日期:
2017-08-06

文章信息/Info

Title:
Research on dosage control of traditional Chinese medicine based on the content determination of active components alignment of Gegen Qinlian decoction
作者:
王倩 傅延龄 陈文强 黄小波
100053 首都医科大学宣武医院中医科(王倩、陈文强、黄小波); 北京中医药大学继续教育学院(傅延龄)
Author(s):
WANG Qian; FU Yanling; CHEN Wenqiang; et al.
Xuanwu Hospital Capital Medical University,Beijing 100053,China
关键词:
葛根芩连汤;  文献;  中药处方用量控制;  机器学习
Keywords:
Gegen Qinlian decoction;  Iiterature;  Dosage control of traditional Chinese medicine;  Machine learning
分类号:
R28
DOI:
10.3969/j.issn.1674-1749.2017.08.007
文献标志码:
A
摘要:
目的 建立葛根芩连汤四味组成中药处方用量与各自煎煮液中主要药效含量的预测模型,为中药处方用量研究提供新思路。方法 以葛根芩连汤药效组分实验研究的相关文献为研究对象,纳入符合标准的文献共10篇,对数据进行整理并录入Excel表,分别采用人工神经网络回归、支持向量机回归、广义线性回归进行建模及评估,对葛根芩连汤两种配伍比例(5:3:3:2和8:3:3:2)下葛根素、黄芩苷、盐酸小檗碱、甘草酸含量进行预测及对比,并对煎煮过程中各药味间相互作用模拟曲线进行分析。结果 葛根素、甘草酸的神经网络回归模型与黄芩苷、盐酸小檗碱的广义线性回归模型组合最优,建立药效组分含量预测模型,模型预测及模拟曲线分析结果均显示葛根芩连汤8:3:3:2用量配伍比例更为合理,更能体现组方原则,符合经方原义。结论 本模型从处方量与药效组分含量的角度为葛根芩连汤组方用量合理性验证提供了一定的客观参考依据。
Abstract:
Objective To establish simulation model for prescribed dosage and effective composition content of four herbs in Gegen Qinlian decoction, to provide a new way for the research of prescription dosage control of tranditional Chinese medicine(TCM). Methods Literatures associated with active components were selected as research object, there were 10 literatures were brought into this research, data were disposaled and recorded into Excel database. The model was builded and evaluated with artificial neural network regression, support vector machine regression and generalized linear regression. To forecast and compare the content of puerarin, baicalin, berberine hydrochloride and glycyrrhizic acid under two different dosage compatibility proportion(5:3:3:2 and 8:3:3:2), and to analyze the simulation curve of medicine interaction during the decoction. Results The optimum combination is the model of artificial neural network regression of puerarin and glycyrrhizic acid and the model of generalized linear regression of baicalin and berberine hydrochloride. Model prediction and simulation curve showed the reasonability of the 8:3:3:2 proportion. Conclusion The model provide objective reference for the reasonability test of dosage of Gegen Qinlian decoction from the perspective of prescription dose and active components alignment.

参考文献/References:

[1] 吴承洛.中国度量衡史[M].上海:上海书店,1984:72.
[2] 国家药典委员会.《中华人民共和国药典》一部[S].北京:中国医药科技出版社,2010:282,285,1146-1147.
[3] 王磊,谭晓梅,王莉,等.葛根芩连汤中黄连不同配伍对G6PD缺陷的痢疾杆菌感染大鼠红细胞渗透脆性的影响[J].中药药理与临床,2009,25(2):1-2.
[4] Viktor Mayer-Schönberger.大数据时代——生活、工作与思维的大变革[M].杭州:浙江人民出版社,2012:17.

相似文献/References:

[1]武志黔 郝改梅 薛晓兴 何洁等.葛根芩连汤对2型糖尿病模型大鼠作用 的研究[J].环球中医药,2014,7(03):161.
　WU Zhi qian,HAO Gai mei,XUE Xiao xing,et al.Research on the effect of Gegenqinlian Decoction on type 2 diabetic model[J].,2014,7(08):161.

备注/Memo

备注/Memo:
基金项目: 国家自然科学基金(81574037); 北京市自然科学基金(7162079); 北京市卫生系统高层次人才专项(2013-2-31)
作者简介: 王倩(1983- ),女,博士,住院医师。研究方向:中西医结合神经病学,方药量效关系。E-mail:18614027699@163.com
通信作者: 黄小波(1964- ),硕士,主任医师,教授。研究方向:中西医结合老年神经病学。E-mail:huangxiaobo@xwh.ccmu.edu.cn
更新日期/Last Update: 2017-08-06