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Study on the medication law and action mechanism of tic disorder patent compound based on data mining and network pharmacology |
WANG Xiaoran1 ZHENG Pan2 SUN Shijie1 |
1.Basic Medical College, Henan University of Chinese Medicine, Henan Province, Zhengzhou 450046, China;
2.Prescription Discipline, Henan University of Chinese Medicine, Henan Province, Zhengzhou 450046, China |
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Abstract Objective To explore the medication rule and action mechanism of tic disorder patent compound based on data mining and network pharmacology. Methods The patent compound prescription for the treatment of tic disorder in the China National Knowledge Infrastructure and the China National Intellectual Property Administration Patent Datebase was searched by computer, and the time limit was to build the database until December 31, 2020. The regularity of drug use was analyzed by SPSS 21.0 and SPSS Modeler 18.0 software. The active components of core drugs and the effective targets of the interaction between drug targets and disease targets were screened by traditional Chinese medicine systems pharmacology database and analysis platform, GeneCards, DrugBank and OMIM database, and the target protein names were standardized with the help of Uniprot database. The “drug-active ingredient-target” network was screened and constructed by Cytoscape 3.7.0 software, and the effective targets were introduced into STRING platform to draw PPI network. GO enrichment analysis and KEGG signal pathway analysis of intersection target were carried out by Metascape. Results A total of 93 patented prescriptions were collected, involving 243 traditional Chinese medicines, mainly using drugs for calming the liver and relieving wind and tonifying deficiency, and the top five core drugs were Rhizoma Gastrodia, Radix Paeoniae Alba, gambir plant nod, Poria and Rhizoma Aoori Tatarinowii. A total of 16 core drug pairs were obtained by correlation analysis. Five kinds of drug combinations were obtained by systematic clustering. A total of 79 active components and 372 action targets of the core drug, 1259 disease targets and 137 effective targets were screened. GO analysis showed 20 biological processes such as chemical synaptic transmission and ion transport, six cellular components such as presynaptic membrane and vesicle lumen, 12 molecular functions such as G protein coupled receptor binding and receptor ligand activity, and 12 signal pathways such as neuroactive ligand-receptor interaction and cAMP signal pathway by KEGG analysis. Conclusion The treatment of tic disorder with traditional Chinese medicine patent compound prescription takes calming the liver and extinguishing wind as the core, taking into account the deficiency of liver and kidney, and the core drugs can treat tic disorders through multi-components, multi-targets and multi-pathways.
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