ABSTRACT
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.
ABSTRACT
OBJECTIVE： To investigate the potential pharmacological mechanism of the seed of Draba nemorosa， and to provide reference for further development， utilization and clinical application. METHODS： Effective components and related target proteins of D. nemorosa were screened and identified by using TCMSP and STRING database. Cytoscape 3.7.0 software was used to construct a visual network of effective components and target proteins for the seed of D. nemorosa， and the network topology analysis was performed. The targeting protein-protein interaction （PPI） network was constructed and analyzed by STRING database and Cytoscape 3.7.0 software. KEGG pathway enrichment of target proteins was analyzed by DAVID bioinformatics resource database. RESULTS： A total of 9 effective components were screened from the seed of D. nemorosa， including quercetin， kaempferol， β-sitosterol， etc. Totally 174 target proteins were obtained， mainly including PTGS2， NCOA2， PGR， etc. Among them， JUN and MAPK1 were core proteins in PPI network. KEGG enrichment pathway included PI3K/Akt signaling pathway， TNF-α signaling pathway， HIF-1 signaling pathway， Toll-like receptor signaling pathway and thyroid hormone signal pathway， etc. CONCLUSIONS： Effective components from the seed of D. nemorosa such as quercetin， kaempferol and β-sitosterol may act on PTGS2， JUN and MAPK1 target proteins through PI3K-Akt signaling pathway and TNF-α signaling pathway， thus exert the effects of purging lung， relieving asthma， promoting edema and reducing edema.