Mutual Information Entropy Analysis of Compatibility of Traditional Chinese Patent Medicines Against Liver Diseases in Chinese Pharmacopoeia（2020 Edition）
10.13422/j.cnki.syfjx.20220115
- VernacularTitle:2020年版《中国药典》肝病相关中药成方制剂的MIE配伍网络分析
- Author:
Xiao-ling AN
1
;
Shun-gang WANG
1
;
Lin QIN
1
;
Dao-peng TAN
1
;
Yan-liu LU
1
;
Yu-qi HE
1
;
Qian-ru ZHANG
1
;
Yan YANG
1
Author Information
1. School of Pharmacy，National Demonstration Center for Experimental Pharmacy Education，Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Reaserch Laboratory of Ethnomedicine of Ministry of Education，Zunyi Medical University，Zunyi 563000，China
- Publication Type:Journal Article
- Keywords:
Chinese Pharmacopoeia;
liver disease;
traditional Chinese patent medicines;
mutual information entropy;
compatibility network
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2022;28(2):199-207
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo investigate the compatibility rule of traditional Chinese patent medicines （TCPMs） against liver diseases through network analysis. MethodWith “liver” as the search term， TCPMs against liver diseases were retrieved from volume Ⅰ of Chinese Pharmacopoeia （2020 edition）， and the basic information of them was collected. TCPMs with same Chinese medicinal materials （CMMs）， usage， and indications， but different dosage forms， were unified as one formula. Mutual information entropy （MIE） of CMM couples was calculated to quantify the relationship between them， and the top 25% CMM pairs in MIE were used to construct the compatibility network， with CMM as node and the relationship between CMM pairs as the edge. Key CMM and frequently used CMM combinations were identified based on node centrality and cluster analysis， respectively. The indications of TCPMs related to the CMMs in clusters were recorded. Cytoscape 3.6.1 was employed for visualization and topology analysis of the compatibility network. ResultA total of 179 TCPMs， involving 428 CMMs， were retrieved. Angelicae Sinensis Radix， Paeoniae Radix Alba， and Glycyrrhizae Radix et Rhizoma were identified as key CMMs with high frequency， and Cuscutae Semen-Lycii Fructus， Citri Reticulatae Pericarpium-Cyperi Rhizoma， and Ecliptae Herba-Ligustri Lucidi Fructus combinations had high MIE. Furthermore， the CMMs were clustered into ten groups corresponding to different diseases which， however， all belonged to digestive diseases. ConclusionThis study unveils potential CMM pairs and common CMM combinations against liver diseases， which can serve as a reference for revealing compatibility rules of CMMs and research and development of Chinese medicine.
