Exploring the medication pattern of treating low back pain in the Chinese Medical Classics based on the data mining method
Objective To explore the medication characteristics and patterns of the prescriptions for treating lower back pain in the Chinese Medical Classics.Methods The prescription for treatment of lower back pain in ancient books in the square book category of Chinese Medical Classics was searched,and a database was established to analyze the four natures,five flavours,channel tropism,and classification of traditional Chinese medicine.The drugs in the screened prescriptions were analysed using association rule analysis and clustering analysis using IBM SPSS Statistics 25 and IBM SPSS Modeler 1 8 software,and the couplet medicines with the highest frequency were selected as the objects of network pharmacological analysis,and the corresponding target databases were constructed by using the HERB platform,and the Genecards database was used for predicting the disease-related target genes.Intersected targets were taken using Venn diagrams and imported into the STRING database to construct a proteinprotein interaction network,and the proteinprotein interaction network was imported into Cytoscape 3.10 to screen for core targets,and gene ontology(GO)enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signalling pathway enrichment analysis were carried out through the Microbiotics website.Results A total of 490 prescriptions were included after screening,containing 202 types of traditional Chinese medicine,with a total medication frequency of 4 737.The four natures and five flavours of traditional Chinese medicines were predominantly warm,pungent,and bitter,and the channel tropisms were mainly in the liver,spleen,and kidney;and the classification of the traditional Chinese medicines was based on the elimination of dispelling wind dampness medicines,tonifying yang medicines,and promoting blood circulation for removing blood stasis medicines.Associative drugs had the highest frequency of occurrence with Angelicae Sinensis Radix-Aconiti Lateralis Radix Praeparata-Cinnamomi Cortex.59 high-frequency drugs clustered into six categories.Key core targets of traditional Chinese medicine included TNF,PTGS2,CXCL8,CASP3,MYC,BCL2,RELA,CASP8,IL-18,NFKBIA.The results of GO enrichment analysis showed that the main biological processes involved included the response to lipopolysaccharide,etc.;the main cellular components involved were membrane rafts,membrane microregions,membrane zones,and components of presynaptic membranes,etc.;and the main molecular functions involved were protein heterodimerisation,etc.The most notable pathways enriched for KEGG were the RIG-I-like receptor pathway and the IL-17 pathway.Conclusion Prescription for low back pain in the Chinese Medical Classics ancient medicines for treating low back pain are characterised by warmth,accessibility and tonicity,with Angelicae Sinensis Radix,,Aconiti Lateralis Radix Praeparata,and Cinnamomi Cortex as the core medicines against relevant targets such as TNF,PTGS2,CXCL8,etc.,and treating low back pain through the modulation of pathways such as the RIG-I-like receptor,IL-17,and other pathways.
Low back painTraditional Chinese medicine therapyMedication patternsData mining
NETL
NSTL
万方数据
