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古代医籍中含[具体药物]的中医方剂配伍规律分析

Analysis of the Rule of TCM Compatibility in TCM Prescriptions Containing in Ancient Books for .

作者信息

Sun Xiuli, Zhang Bo, Wang ShuHua, Liu Shuying, Zhou Qingying

机构信息

Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun1 30117, Jilin, China.

College of Computer Science and Technology, Northeast Normal University, Changchun 130117, Jilin, China.

出版信息

Evid Based Complement Alternat Med. 2020 Mar 27;2020:9472304. doi: 10.1155/2020/9472304. eCollection 2020.

Abstract

BACKGROUND

TCM considers that diabetes belongs to the scope of . Compound prescriptions are characteristics of TCM. For a certain medicine, its compatibility with different medicines can exert different efficacies in different prescriptions. Using the TCM compound prescriptions containing in ancient books for as an example, this study introduces new methods to investigate the rule of TCM compatibility.

METHODS

Frequency analysis was accomplished by programs written in Perl. The R, Cytoscape, and DpClus software were used to carry out the association rules analysis, the construction of the TCM interconnection network, and the graph clustering analysis, respectively.

RESULTS

Frequency analysis ranked the frequencies of medicine, medicinal flavors, properties, and meridian attributions, and it was found that some of them are significantly higher than others. Six association rules were obtained. The TCM interconnection network showed that there are close medicine associations among prescriptions, and we got 17 categories of closely related prescriptions from the network.

CONCLUSIONS

was widely used in treating . Our results are consistent with the understanding of in TCM; hence, it is demonstrated that the methods are effective for exploring the rule of TCM usage in prescriptions. This analysis could provide references for the treatment of diabetes.

摘要

背景

中医认为糖尿病属于……范畴。复方是中医的特色。对于某一味药,它与不同药物配伍在不同方剂中可发挥不同功效。本研究以古籍中含……的中医复方为例,介绍探索中医配伍规律的新方法。

方法

使用Perl编写的程序进行频次分析。分别用R、Cytoscape和DpClus软件进行关联规则分析、构建中药互联网络和图谱聚类分析。

结果

频次分析对药物、药味、药性、归经的频次进行了排序,发现其中一些频次显著高于其他频次。得到了六条关联规则。中药互联网络显示方剂之间存在紧密的药物关联,从网络中得到了17类密切相关的方剂。

结论

……被广泛用于治疗……。我们的结果与中医对……的认识一致;因此,证明这些方法对于探索方剂中中药的使用规律是有效的。该分析可为糖尿病的治疗提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53c3/7140142/a2f9ce645530/ECAM2020-9472304.001.jpg

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