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Study on the medication regularity and mechanism of Chinese herbal compounds in the treatment of dyslipidemia based on data mining |
ZHAO Zhibin1,2 LI Li1 CHEN Xinyan2 LIN Yanzhao2 |
1.The Second Clinical School, Guangzhou University of Chinese Medicine, Guangdong Province, Guangzhou 510006, China;
2.State Key Laboratory of Dampness Syndrome of Chinese Medicine by Province-Ministry Co-construction, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Province, Guangzhou 510120, China |
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Abstract Objective To explore the medication regularity and mechanism of Chinese herbal compounds in the treatment of dyslipidemia based on data mining and network pharmacology methods, so as to provide medication basis for clinical treatment of dyslipidemia. Methods The literatures of CNKI, CBM, Wanfang and VIP databases from January 2010 to December 2020 were retrieved. The ancient and modern consilia cloud platform was used for data analysis to obtain core drugs. The active ingredients and targets of the core drugs were screened by traditional Chinese medicine systems pharmacology database and analysis platform, combined with literatures and Swiss Target Prediction database. Disease targets were obtained through relevant databases, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was performed by DAVID 6.8 after taking the intersection, and a network of core drug-active ingredients-target-pathway was constructed. Results A total of 969 literatures were included, involving 790 prescriptions and 316 Chinese herbs. The data analysis results showed that, the core drugs were included, which were Fructus Crataegi, Radix Salvia Miltiorrhiza, Alismatis Rhizoma, Poria, Cassiae Semen, Atractylodis Macrocephalae Rhizoma. There were 420 active ingredient targets for core drugs, 1767 targets for dyslipidemia diseases, and 132 targets for the intersection. The network of core drug-active ingredients-target-pathway had 62 active ingredients, including quercetin, alisol A 24-acetate, tanshinone ⅡA, pachymic acid, atractylenolide Ⅰ, etc. There were 91 KEGG enrichment pathways, among which, HIF-1 signaling pathway, insulin signaling pathway, AMPK signaling pathway and others were related to the treatment of dyslipidemia. Conclusion In traditional Chinese medicine treatment of dyslipidemia, the herbs of invigorating spleen and benefiting qi are often used for treating deficiency, and the herbs of promoting blood circulation and removing blood stasis, reducing dampness and turbidity, and clearing liver and purging constipation are often used for treating symptoms. There are theoretical and experimental basis for the treatment of core drugs on dyslipidemia at the level of molecular targets and chemical pathways. The drug use rules and drug action mechanism obtained in this study can be referred for clinical treatment, so as to improve the clinical efficacy.
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