Discussion of Professor Wu Liqun’s medication rules and mechanism in the treatment of tic disorders in children based on data mining and network pharmacology
GAO Shiyu1 WU Liqun2 LI Panpan1 LU Chen1 ZHANG Ningning1 WANG Baosheng1
1.The Second School of Clinical Medicine, Beijing University of Chinese Medicine, Beijing 100029, China;
2.Department of Pediatrics, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China
Abstract：Objective To explore Professor Wu Liqun’s medication rules and mechanism in the treatment of tic disorders (TD) in children based on data mining and network pharmacology. Methods Medical record data of children with TD treated by Professor Wu Liqun from Dongfang Hospital, Beijing University of Chinese Medicine from April 2018 to July 2021 were collected, and traditional Chinese medicine inheritance computing platform V3.0 was used to analyze medication patterns. The potential targets of core drugs and diseases were obtained by traditional Chinese medicine systems pharmacology database and analysis platform, Genecards, Malacards, and online Mendelian inheritance in man database. The active ingredient-target, protein-protein interaction network was constructed using Cytoscape and STRING platforms. Further, Metascape was used for GO and KEGG enrichment analysis of common targets. Results A total of 234 TD prescriptions were collected, involving 158 traditional Chinese medicines, which effects were mainly for supplementing deficiency, superficies-relieving, and suppressing hyperactive liver for calming endogenous wind. The drug natures were mainly for warming, cold, and calming, and the drug flavours were mainly for bitter, sweet, and pungent. The main channels are liver, lung, and spleen. Top five drugs in frequency of used were Radix Paeoniae Alba, Pericarpium Citri Reticulatae, Radix Puerariae, Ramulus Uncariae Cum Uncis, and Rhizoma Atractylodis Macrocephalae. A total of 53 active ingredients, 235 action targets, 1 092 disease targets, and 68 intersection targets were screened. GO analysis showed 1 029 biological processes, 74 cellular components, and 118 molecular functions. KEGG analysis showed 222 signaling pathways. Conclusion In the treatment of TD, Professor Wu Liqun mainly focuses on suppressing hyperactive liver for calming endogenous wind, and also replenishing spleen and stomach deficiency. The core drug can play its role through multi-component, multi-target and multi-pathway.
高诗宇1 吴力群2 李盼盼1 路晨1 张宁宁1 王宝盛1. 基于数据挖掘及网络药理学探讨吴力群教授治疗小儿抽动障碍用药规律及作用机制[J]. 中国医药导报, 2023, 20(2): 4-10.
GAO Shiyu1 WU Liqun2 LI Panpan1 LU Chen1 ZHANG Ningning1 WANG Baosheng1. Discussion of Professor Wu Liqun’s medication rules and mechanism in the treatment of tic disorders in children based on data mining and network pharmacology. 中国医药导报, 2023, 20(2): 4-10.
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