Objective:To investigate the prescription and medication rules and the mechanism of action of TCM internal treatment of gout by using the application of data mining and network pharmacology.Methods:Data mining was used to collect the prescriptions for the treatment of gout,and the frequency,association rules and cluster analysis were carried out to summarize the medication rules and core drug pairs.The targets of action of drugs and diseases were predicted,and the core targets and core pathways were obtained by network pharmacology.Results:A total of 204 articles were screened out.210 prescriptions were included.The total frequency of medicines used was 2415,and 30 high-frequency medicines were obtained(with a frequency ≥20).The association rules were analyzed to obtain 8 association rules,and the clustering analysis obtained 4 effective clustering groups.Eventually 9 core drugs were gained.Network pharmacological analysis showed that 95 core targets were involved in the treatment of gout,12 core targets and 10 core pathways.Conclusion:Data mining shows that the mainly TCM syndrome type of gout is damp-heat and amassing poison.Treatment is mostly with heat-clearing and dampness-eliminating herbs.The network pharmacology predicts the key mechanism of the core drug in the treatment of gout.
维普
万方数据