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Analysis Of Professor Lu Jialong’s Medication Rule And Action Mechanism In Treating Acute Cough Based On Traditional Chinese Medicine Inheritance Assistance Platform And Network Pharmacology

Posted on:2024-04-03Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ChenFull Text:PDF
GTID:2544307103450534Subject:Integrative Medicine
Abstract/Summary:PDF Full Text Request
Part 1:xperience MiningObjective: First,excavate Professor Lu Jialong ’s medication regularity in the treatment of acute cough through the traditional Chinese medicine inheritance auxiliary platform,inherit Lu Lao’ s clinical experience and academic thoughts,and provide ideas for clinical treatment of acute cough.The second is to analyze the core drug pairs in Professor Lu Jialong ’s prescription by network pharmacology to better understand their active ingredients,drug targets,signaling pathways and mechanism of action,so as to provide a reference for the treatment of acute cough.Methods: Through collating and collecting the previous medical records of Professor Lu Jialong in the treatment of acute cough in the outpatient department for 1year and nearly 2 years,the prescription data that met the criteria were entered into the traditional Chinese medicine inheritance auxiliary platform,and the mining functions contained in the software,such as frequency statistical analysis and association rules,were used to study the dominant syndromes,core compound changes and core drug pair selection.Mulberry leaf-chemical orange drug pair information was entered into TCMSP database,TCMSP database was used to search mulberry leaf-chemical active ingredient and target information,and then Uniprot database was used to standardize the obtained data information,acute cough-related target genes were searched in Gene Cards,OMIM database,Drug Bank database,mapped with core prescription targets,and common targets were selected.Disease-herb-chemical component-target network was constructed by Cytoscape software,intersecting protein-protein target interaction(PPI)between acute cough and mulberry leaf-chemical orange drug pair was analyzed by STRING database,PPI protein interaction network was visualized using Cytoscape software,GO biological function and KEGG pathway enrichment analysis of disease and drug pair intersection targets were performed using DAVID database,and then GO and KEGG pathway enrichment analysis data results were visualized through the Weisheng Information Platform.Results: A total of 200 cases and prescriptions were included.After statistical analysis,it was shown that the majority of patients with acute cough in Professor Lu Jialong ’s outpatient department were female,mainly distributed in the age group of50 ~ 69 years old.The top 5 of frequency statistics of symptoms and signs were expectoration,pharyngeal itching,dry mouth,bitter taste,and sore throat;the top 3 of color statistics of expectoration nature were thick phlegm,less phlegm,and yellow phlegm;the top 3 of frequency statistics of tongue image were less tongue,dark red tongue,and red tongue;the top 3 of frequency of tongue coating were thin yellow fur,yellow fur,and thin white fur;the top 3 of frequency of pulse were fine pulse,thin pulse,and thin pulse string;there were 3 main syndromes of patients,which were dry evil lung,wind-heat offending lung and wind-cold attacking lung,of which dryness evil lung was the dominant syndrome;59 drugs were used,and the frequency of commonly used drugs was ≥ 20 times,from high to low,followed by orange,mulberry leaf,Poria cocos,pinellia ternate,almond,etc.Bitter and pungent taste followed;the drug belonged to the lung meridian most,followed by the stomach,spleen,heart,and liver;the core prescriptions were obtained after association rule analysis of 200 prescriptions: Hua orange,mulberry leaves,Poria cocos,Pinellia ternate,almond,reed root,Nansha Shen,Ophiopogon japonicus,Fritillaria thunbergii,Coix seed,malt,floating wheat,and cereal sprout.The core drug pair was mulberry leaf-chemical orange drug pair.After screening,a total of 121 chemically active components and corresponding targets were obtained,123 common targets were obtained after intersection with 1132 targets of acute cough,and key components obtained in the disease-herb-chemical-target network map included quercetin,kaempferol,sitosterol,arachidonic acid,nobiletin,and naringenin,and key targets AKT1,TNF,and TP53 were obtained by intersection target protein-protein interaction analysis.GO functional enrichment analysis results included 767 biological processes,mainly including drug reactions,positive regulation of gene expression and exogenous stimulation reactions,140 molecular functions,the top ranked were enzyme binding,the same protein binding and protein binding,etc.,77 cellular components,mainly including extracellular space,extracellular region and macromolecular complexes,etc.KEGG pathway enrichment analysis obtained a total of 160 pathways,mainly including cancer signaling pathways,AGE-RAGE signaling pathways and lipids and atherosclerosis signaling pathways.Conclusion: First,Professor Lu Jialong believes that the pathogenesis of acute cough in Kunming area is mainly dryness and evil injuring the lung,mostly mixed with heat and phlegm dampness,consumption of fluid injuring the body,internal and external dryness,easy to hinder the spleen and stomach,and its concept of treating acute cough can be summarized as: clearing away heat and moistening dryness,phlegm and cough,and benefiting the stomach and generating fluid.The second is that network pharmacology research explores the target,key components and signaling pathways of Professor Lu Jialong ’s core drug pairs for the treatment of acute cough;preliminarily explores the therapeutic mechanism of Professor Lu Jialong’ s multi-target and multi-pathway for the treatment of acute cough.Through research,it is conducive to learning and inheriting Professor Lu Jialong ’s clinical experience and related academic thoughts,and provides ideas for further guidance of clinical practice and research.
Keywords/Search Tags:Lu Jialong, Acute Cough, Medication Regularity, Data Mining, Network Pharmacology
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