| Purpose:Data mining method was used to explore the drug thinking and core drugs of Professor Lu Bingjiu in the treatment of MAFLD,and network pharmacology method was used to predict the possible targets and pathways of Traditional Chinese medicine in the treatment of MAFLD.Material and method:A total of 256 outpatient cases of MAFLD treated by Prof.Bingjiu Lu were collected.EXCEL was used to analyze the drug frequency and frequency of the included cases.SPSS Modeler and SPSS Statidtics software were used to conduct association analysis and cluster analysis for high-frequency drugs.Based on the results,Lu’s thought of treating MAFLD was explored,and the core drug group was screened out based on clinical practice.Combined with the network pharmacology method,the obtained core drug group was analyzed,the protein target information of the active components of the core drug group was analyzed by USING TCMSP database and Pharm Mapper platform,and the protein target information was converted into gene target information by using Uniprot protein database.OMIM database,TTD database and Gene Cards database were used to search for disease targets related to MAFLD,and DRUG BANK database was used to search for clinical first-line western drug targets for treatment of MAFLD.Excel was used to extract the core drug active ingredient--common target of disease,Metascape platform was used to conduct GO and KEGG enrichment analysis for common target,Cytoscape software was used to construct protein interaction network,and the possible pathways and targets for treating MAFLD were obtained,and the possible mechanism of action of traditional Chinese medicine in treating MAFLD was explored.Results:1.According to the analysis of 256 prescriptions included,a total of 173 traditional Chinese medicines were used,with a cumulative use frequency of 3404 times.The top five drug use frequencies were Rhizoma rhizoma,orange peel,Poria cocos,Atractylodes atractylodes and Atractylodes atractylodes.In the analysis of association rules,the minimum confidence degree of rules was set as 80%,the minimum support degree of conditions was set as 20%,and the maximum number of preceding items was set as 2.A total of 141 association rules were obtained,and 137 association rules were obtained after removing 4 rules with gain <1.The association rules with the highest degree of support were alisma orientalis → Poria cocos and Alisma orientalis → tangerine peel.The highest confidence was cassia twig +pericarp → tangerine peel;The highest gain was prepared astragalus membranaceus +Tuckahoe → cassia twig.Six categories were obtained by cluster analysis.The core drug groups were Rhizoma alisma,pericarp of tangerine and Poria cocos.2.Based on the network pharmacology method,the core drugs were explored,and 53 kinds of active ingredients and 149 targets were obtained.It was preliminarily predicted that the target of the core drugs might be HSPD1,GAPDH,PARP1,etc.Core drugs are likely to respond by nutrition levels,lipid metabolism,oxidative stress reaction and so on,by acting on membrane rafts,into the lumen of the endoplasmic reticulum lumen,,peroxidase and so on,by influencing the protease combination,combined kinase and phosphatase,REDOX enzyme activity,etc.,to influence the lipid metabolism in the body to improve the accumulation of fat in the liver.The possible pathways are age-rage signaling pathway,insulin resistance,Fox O signaling pathway,estrogen signaling pathway and peroxisome proliferation-activated receptor signaling pathway.Conclusion:1.Lu’s core drug groups for treating MAFLD are Rhizoma orientalis、tangerine peel and Poria cocos.2.Lu’s mainly thought of treating MAFLD is to “Qu wan chen cuo”,get rid of phlegm-wet-stasis of long evil.3.The possible targets of core drugs in the treatment of MAFLD are HSPD1(heat shock protein),GAPDH(glyceraldehyde-3-phosphate dehydrogenase),PARP1(poly ad P-ribose polymerase 1),etc4.The possible mechanisms of action of core drugs in the treatment of MAFLD include age-rage signaling pathway 0,insulin resistance,Fox O signaling pathway,estrogen signaling pathway and peroxisome proliferation-activated receptor signaling pathway. |