Based On Data Mining Technology To Study The Medication Regularity Of Traditional Chinese Medicine For Insomnia And Anxiety

Objective:Data mining techniques are applied to analyse the characteristics of drug use and prescription patterns in the treatment of insomnia and anxiety in Chinese medicine,and the potential targets and signalling pathways of core drug combinations are predicted through network pharmacology to explore the mechanisms of action in the treatment of insomnia and anxiety.Method:1.The data were collected from the databases of Zhiwang,Wanfang and Wipu from January 2000 to April 2023,and the included literature was screened according to the nadir criteria,and the data were normalized and then the included Chinese medicines were subjected to frequency statistics and association clustering analysis.2.TCMSP was used to screen the active ingredients and targets of the core drugs,Genecards was used to obtain the common targets of insomnia with anxiety,Cytoscape 3.9.0 was used to construct drug-component-target maps,and String database was used to construct protein interaction network maps.GO analysis and KEGG pathway enrichment analysis of disease targets were performed by Metascape.Results:1.The search yielded 202 prescriptions,including 229 herbal medicines.The top 5 frequently used herbs were Poria,Chai Hu,Yuan Zhi,Suan Zao Ren and Tuber Fleeceflower Stem;the most frequent drug class was led by tranquilizers,followed by deficiency tonics and heat-clearing drugs;the four qi were distributed as cold,warm,calm,cool and hot,the five tastes were distributed as sweet,bitter,pungent,sour,salty and astringent,and the frequency of drug attribution was ranked as heart,liver,spleen,lung and kidney;the drug combinations with the highest confidence in the high-frequency drug combinations were Zhi Mu and The drug combinations with the highest confidence were Fu Ling and Suan Zao Ren;after cluster analysis,six core drug combinations were obtained.2.There are 39 active ingredients in the core Chinese medicine and 110 targets.There were 2564 targets common to both insomnia and anxiety states,which were intersected with drug targets to obtain 93 drug-disease action targets,of which the key active ingredients were ivy saponin element and kaempferol.The protein interaction network had 93 nodes and 779 edges,with key targets such as AKT1,TP53,SLC6A4,etc.GO functional enrichment analysis had 1199 entries for biological processes,79 entries for cellular composition and 169 entries for functional analysis.171 pathway signals were obtained from KEGG pathway analysis.Conclusion:1.Chinese herbal medicines for treating insomnia with anxiety are mainly tranquilizers and deficiency tonics.Clinically,drugs with cold and warm properties,sweet and bitter in taste,and mainly entering the heart,liver and spleen meridians are chosen for the treatment of insomnia with anxiety.2.In the association rule,the core drug combination of Zhi Mu-Fu LingSuan Zao Ren occupies an important position.3.A total of six clusters were obtained from the prescriptions in the literature,containing the clustered combinations formed by the base formulas such as Sour Jujube Ren Tang and Propylactone.4.The group of Chinese herbal medicines with the highest confidence level,Fu Ling,Zhi Mu and Suan Zao Ren,was selected as the core drug,mainly through the active ingredients such as ivory saponin element and kaempferol for the treatment of insomnia with anxiety.5.Among the intersecting targets of the drug combination and the disease,AKT1,TP53,SLC6A4 and other target genes are the core targets of the core drug combination acting on insomnia with anxiety.6.The mechanism of action of the core drug combination for insomnia with anxiety may be through lipid and atherosclerosis pathways,cancer and other related pathways,regulating anxiety and depression and improving sleep quality.