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Objective:To analyze the rules of Traditional Chinese Medicine (TCM) for treating diabetes based on the National Patent Database.Methods:In the patent search and analysis platform of the China National Intellectual Property Administration, search the invention patents of the TCM compounds for treating diabetes during January 1,2016-December 31,2020. The Ancient and Modern Medical Records Cloud Platform (V2.3.5) was used to conduct the statistics of Chinese materia medica frequency, the nature and meridian entry, and the analysis of association rules. The cluster analysis and factor analysis were carried out with the SPSS 25.0.Results:A total of 490 TCM compound patents were included, which involve 791 kinds of Chinese materia medica. For each patent, the number of the Chinese materia medica types was rough 13-14 in average. Remarkably, thirty kinds of Chinese materia medica with high frequencies were obtained, where tonic Chinese materia medica accounted for the largest number, followed by the heat-clearing Chinese materia medica. Among these Chinese materia medica the categories of nature are mainly flat, cold and slightly cold, while the flavors are mostly sweet, bitter and pungent, which mainly belongs to the three meridians of lung, kidney and spleen. As for the results of statistical analysis, the association rule analysis indicated that there were 17 effective kinds of Chinese materia medica pairs, such as Rhizoma Dioscoreae-Astragalus Membranaceus and Radix Rehmanniae Recen-Astragalus Membranaceus. Seven Chinese materia medica groups were derived by the cluster analysis, and 11 common factors were extracted through factor analysis. Conclusions:The TCM compounds for treating diabetes are based on clearing heat and moisturizing dryness, nourishing yin and fluid, supplemented by invigorating spleen and removing dampness, dispelling phlegm and dissolving blood stasis, purging fire and detoxification. Notably, in clinical application, phlegm, blood stasis, heat toxin and other pathological products are supposed to be the focus, must identifying the both symptoms and root causes.
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Objective:To analyze the characteristics of prescription about Lingnan Traditional Chinese Medicine (TCM) masters for Biqiu treatment based on data mining, so as to provide reference for the clinical practice and patent drug research and development of rhinorrhea in Lingnan district.Methods:By searching journal documents and medical records in CNKI, VIP, Wanfang, Chinese BioMedical Database (SinoMed) and Duxiu Data Retrieval Platform, we selected the articles and famous TCM medical records that met the criteria on the TCM medical rules of treating Biqiu. We screened database in strict accordance with inclusion and exclusion criteria and extracted prescription information from medical cases. The software Ancient and Modern Consilia Cloud Platform (V 1.5) was used for data mining analysis and medical case standardization, and SPSS Clementine 12.0 software were used to conduct frequency statistics, association analysis and cluster analysis of drugs in medical cases. Results:A total of 31 articles and 42 medical cases including 73 prescriptions were screened. The frequency results showed that there were 40 kinds of high frequency TCMs (frequency more than 5), mainly including drugs for benefiting the qi and strengthening the spleen, medicine to relieve cold and promote nasal passages, which was the same as the frequency statistics of the effects of herbal medicine. Seven drug groups were obtained by cluster analysis. The results of rule analysis showed that 16 association rules for drug pairs and 18 association rules for 3 TCMs pairs were obtained.Conclusions:While treating allergic rhinitis, Lingnan medical doctors focus on tonifying spleen qi, dispersing wind and cold, and promoting the nasal passages, which reflect the treatment theory of cultivating earth and generating gold, and attacking and tonifying. Lingnan medical doctors commonly used Guangdong medicinal herbs, which have distinct regional characteristics. The data mining methods can comprehensively summarize and explore the potential rules of Lingnan prominent practitioners' treatment of allergic rhinitis, and provide reference for guiding the treatment of congested nose and congested nose in TCM.
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Objective:To explore the relationship between drug evidence and core prescription for depression.Methods:We retrieved literature of TCM for depression from CNKI, VIP and Wangfang databases to November 2019, 30th as well as there cords from Ancient and Modern Medical Records Cloud Platform (V 1.5). The Excel 2010 was used to establish the standardized database of medical records. After the standardization of medicines, Ancient and Modern Medical Records Cloud Platform (V1.5) statistics methodswere used for association rules analysis, complex networks, and analysis of drugs’ frequency, medical characteristics, core prescription drugs.Results:A total of 632 effective prescriptions were included, involving a total of 527 drugs. The results of frequency of herbs showed that 23 kinds of high-frequency herbs were obtained. Bupleuri Radix was the most frequently used medicine. Most herbs are warm or flat, with pungent, sweet and bitter in taste, belonging to the lung, liver, heart and spleen meridians. A total of 25 drug-pair association and 13 TCM association were obtained by association rule analysis. Conclusions:TCM treatment for depression is mainly based on soothing the liver and regulating qi, clearing the heart and calming the nerves. Bupleuri Radix, Curcumae Radix, Paeoniae Radix Alba, Chuanxiong Rhizoma, Ziziphi Spinosae Semen are the basic prescriptions. Angelicae Sinensis Radix, Ophiopogonis Radix, Albiziae Cortex, Polygalae Radix, Poria are used as reference.
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ObjectiveTo investigate the mechanism of action of Sini powder in the treatment of liver cancer based on network pharmacology and molecular docking. MethodsTraditional Chinese Medicine Systems Pharmacology Database and Analysis Platform was used to obtain the compound and target of Sini powder, and the corresponding gene Symbol was obtained through Uniprot. The disease genes of liver cancer were obtained from Human Genome Database, and the genes with intersection with the target genes of Sini powder were screened out. Cytoscape3.7.1 software was used to draw the map of “traditional Chinese medicine (TCM)-compound-target” network. STRING was used to construct a protein-protein interaction (PPI) network, R studio software was used to conduct gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses on therapeutic targets, and then the results were visualized. The active component with the highest number of targets was selected as the ligand, and the target with the highest degree in the PPI network was selected as the receptor, so as to predict the structure of receptor-ligand complex and the amino acid residues that bind to each other. ResultsIn this study, 91 core targets and 141 relevant active components of Sini powder were screened out, among which quercetin and kaempferol were the main active components in the treatment of liver cancer. TP53 and HSP90AA1 were the main therapeutic targets. The GO enrichment analysis obtained 1007 items which met the screening criteria, which were mainly involved in the biological processes of antioxidation reaction, activity regulation of protein serine and threonine kinase, and cellular stress response. The KEGG enrichment analysis obtained 102 pathways, which mainly regulated the hepatitis B pathway and the PI3K-Akt signaling pathway in the prevention and treatment of liver cancer. The results of molecular docking showed a synergistic antitumor effect between the crystal structure domains VAL147, CYS220, GLU221, and PRO222 of quercetin-TP53. ConclusionThis study reveals the mechanism of action of Sini powder in the treatment of liver cancer by acting on multiple targets and signaling pathways, which provides a theoretical basis for biological experiments.