Based On Data Mining And Network Pharmacology To Explore The Medication Rules And Mechanism Of Non-alcoholic Fatty Liver Disease

Purpose:This study uses data mining technology to collate and analyze the literature on the treatment of non-alcoholic fatty liver with traditional Chinese medicine in recent years,discuss its medication rules from the perspective of traditional Chinese medicine,and provide literature data support for the clinical treatment of non-alcoholic fatty liver with prescription drugs;and use Network pharmacology and molecular docking technology,from the perspective of modern pharmacology,study and analyze the mechanism of action of core prescriptions extracted from literature on non-alcoholic fatty liver,providing theoretical basis for clinical application.Material and method:Retrieving the randomized controlled trial literature on the treatment of non-alcoholic fatty liver with traditional Chinese medicine prescriptions in the databases of CNKI,Wanfang and Weipu in the past ten years or so.According to the inclusion and exclusion criteria,the literatures that are finally included in the study are screened,and the prescriptions in the literature are extracted Information,enter the information into the TCMISS(V2.5),perform algorithmic analysis such as frequency,meridian,association rules,and clustering,and extract the core prescriptions according to the association rules.Query the active ingredients and targets of the core prescriptions through TCMSP,ETCM,Swiss Target Prediction,Target Net databases;query the relevant targets of NAFLD diseases through CTD,OMIM,Dis Ge NET,and Gene Cards databases;upload drug targets and disease targets to Venn mapping software Mapping is performed to obtain the potential therapeutic target of the core prescription for the treatment of non-alcoholic fatty liver.Use Cytoscape 3.8.2 software to construct a network of traditional Chinese medicine-active ingredients-therapeutic targets;use String database and Cytoscape3.8.2 software to construct a PPI network and screen core targets;use RStudio’s cluster Profiler package to perform GO(Gene Ontology),KEGG(Kyoto Encyclopedia of Genes and Genomes)enrichment analysis;Auto Dock software is used for molecular docking verification.Results:1.According to the criteria for inclusion and exclusion,485 articles were initially screened and downloaded.After intensive reading,the criteria for inclusion and exclusion were compared again.Finally,441 research articles were included,involving 441 prescriptions.2.The statistical results of the frequency of traditional Chinese medicines show that the prescription involves a total of 260 Chinese medicines.The single medicines with a frequency of ≥50 include hawthorn,salvia,Alisma,Poria,Bupleurum,etc;the medicines with a frequency of ≥130 include Danshen and Hawthorn.14 pairs of Alisma and Hawthorn,Salvia and Alisma.3.The statistical results of the frequency of drug return to menstruation showed that the total return frequency of menstruation was 11504 times,with spleen,liver,and stomach meridians dominated by 2380 times,2331 times and 1678 times respectively.4.The results of the association rule analysis showed that the drug combinations with the highest correlation degree were Salvia,Poria,Alisma ﹣﹥hawthorn,and the confidence was as high as 0.944954.Based on association rules and complex network analysis,the support is set to 90 and the confidence is set to 0.6,and a core prescription containing 11 traditional Chinese medicines is obtained(Hawthorn,Salvia,Alisma,Poria,Bupleurum,Atractylodes,Licorice,Cassia,Turmeric,Tangerine Peel,Pinellia).5.The cluster analysis results show that when the correlation is 16,the penalty is 2,and the Result is 6,two types of drug combinations are obtained,which are respectively the first type:Polygonum multiflorum,Cassia seed,Hawthorn,Salvia miltiorrhiza,Alisma orientalis,Gardenia;and The second category: Angelica,Ligusticum wallichii,Achyranthes,Platycodon,Rehmannia,Safflower.6.After network pharmacological analysis,244 active compounds of the core formula were obtained,of which 14 key compounds that played a major role were quercetin,kaempferol,and luteolin;and 185 therapeutic targets of the core formula were obtained,of which they played a major role.There are 34 core targets of STAT3,AKT1,TP53,etc;GO enrichment analysis results in 2063 biological processes,47 molecular functions,and 106 cell components;KEGG enrichment analysis results in IL-17 signaling pathway are mainly 37 significantly enriched pathways closely related to diseases.7.PPARG and TNF were selected as the target targets of the molecular docking experiment.The results showed that the average binding energy of PPARG and its corresponding compound was-8.12593,and the average binding energy of TNF and its corresponding compound was-8.21667.Conclusion:1.Traditional Chinese medicine mainly adopts traditional Chinese medicines with the functions of promoting blood circulation,removing blood stasis,promoting water and soaking dampness,etc.to regulate NAFLD from the perspective of strengthening the spleen and liver.2.The main active ingredients of the core prescription(Hawthorn,Salvia,Alisma,Poria,Bupleurum,Atractylodes,Licorice,Cassia,Turmeric,Tangerine Peel,Pinellia)regulate liver lipid metabolism and treat NAFLD from various aspects such as improving insulin resistance,reducing endoplasmic reticulum stress response,and inhibiting hepatocyte inflammation.3.The molecular docking results suggest that the active compound of the core formula has a strong binding ability with the target target,and it is verified that it has the effect of treating NAFLD.