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Analysis Of The Medication Rules And Mechanism Of Professor Yu Rui In The Prevention And Treatment Of Dyslipidemia Based On Data Minin

Posted on:2024-03-11Degree:MasterType:Thesis
Country:ChinaCandidate:R Y WangFull Text:PDF
GTID:2554307100455714Subject:Integrative Medicine
Abstract/Summary:PDF Full Text Request
Objective: based on data mining,this study analyzed the compatibility of Professor Yu Rui in the treatment of dyslipidemia,and used the methods of network pharmacology and molecular docking to explore the molecular biological mechanism of Professor Rui’s core prescription in the treatment of dyslipidemia.In order to provide reference for clinical medication.Materials and methods: Collect and input the medical records of outpatients with dyslipidemia in the outpatient clinic of Professor Yu Rui in the affiliated Hospital of Liaoning University of traditional Chinese Medicine from 2021.03 to2022.03.After standardized processing,the application of traditional Chinese medicine inheritance auxiliary platform(V2.5.0)software for data analysis,get the core group.The internal mechanism of prevention and treatment of dyslipidemia in core prescriptions was analyzed by using network pharmacology and molecular docking technology,and the effective components and targets of core prescriptions were screened by TCMSP database.Disease-related genes were searched by CTD database,Genecards database and Drug Bank database,and the above predicted target genes were combined as disease-related gene data.The core group and the target genes of dyslipidemia are intersected in the Draw Venn Diagram online program,and the set of intersection targets is the possible target of the core group and dyslipidemia.The gene for drug treatment of dyslipidemia was submitted to the STRING website to generate a PPI interaction network.The potential targets of core prescription in the treatment of dyslipidemia were analyzed by gene ontology(Gene Ontology,GO)functional enrichment analysis and Kyoto gene and genome encyclopedia(Kyotoencyclopediaofgenesandgenomes,KEGG)pathway enrichment analysis with Cluster Profiler R package,and the results were displayed visually.The core target proteins related to dyslipidemia were obtained,combined with the search results of target genes of dyslipidemia in CTD database,and the protein receptors of the active components of the core prescription were selected according to whether there was direct medical evidence and inferencescore ranking.Search the corresponding target receptor protein from the Uni Prot database and enter the RCSBPDB protein database to download the corresponding protein receptor structure.The obtained receptor protein file is imported into the SYBYL-X2.0 software to remove ligand molecules,water molecules,repair residues,hydrogenation and other standard processes,define the receptor protein structure,and then generate protein binding pockets to dock with potentially active component targets to obtain ligand and protein molecule docking scores.The strength of molecular docking is evaluated and the docking results are visualized according to the total score(total-score)value(> 5k J · mol-1 is the threshold).Results:1.In this study,through the analysis of Professor Yu Rui’s core prescription for the treatment of dyslipidemia,it was found that most of the drugs used were pungent,bitter and sweet,and most of the meridians were liver meridian and spleen meridian.Through association rules and cluster analysis,it is concluded that gynostemma pentaphyllum,Rhizoma Cyperi,Ligusticum chuanxiong,Gardenia,Hawthorn and Bupleurum are the main components,soothing the liver and relieving depression,regulating qi and invigorating the spleen,regulating qi and guiding stagnation,resolving turbidity and reducing lipid as the main efficacy of the core prescription.2.In this study,a total of 228 active components were obtained from Professor Rui’s core prescription for the treatment of dyslipidemia,38354 targets for dyslipidemia and267 targets for intersection.After screening,five core intersection targets were obtained,which are: NOS2,PPARA,TNF,CASP3 and HMGCR may be the potential targets for the treatment of dyslipidemia.In the GO annotation of the results of enrichment analysis,there were 2610 biological process pathways,111 cellular component expression processes and 241 molecular function-related processes,and the results of KEGG pathway enrichment analysis showed that there were 183 pathways.The results of molecular docking show that the core prescription effect components combine well with the core targets of dyslipidemia.Conclusion:1.Based on data mining,this study explores the medication law of Professor Rui’s prescription for the prevention and treatment of dyslipidemia,and analyzes Professor Yu Rui’s TCM clinical diagnosis and treatment idea of "treating dyslipidemia from the liver",and the core prescription of soothing the liver and relieving depression,regulating qi and invigorating the spleen,regulating qi and guiding stagnation,resolving turbidity and reducing lipid as the main efficacy.2.Network pharmacology is applied to explore the potential mechanism of core prescription in the treatment of dyslipidemia.The core prescription may regulate dyslipidemia by controlling the targets of NOS2,PPARA,TNF,CASP3,HMGCR and the pathways of TNF,PI3K-Akt,MAPK,HIF-1 and so on.3.Through the molecular docking method,it is verified that there is a good combination between the effective components of the core prescription and the core target of dyslipidemia,which reflects the effectiveness of Professor Yu Rui in treating dyslipidemia from the liver.
Keywords/Search Tags:dyslipidemia, data mining, drug use rule, network pharmacology, molecular docking
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