基于网络药理学研究肾衰方治疗CKD 心肌损伤的作用机制
作者:
作者单位:

1.江西中医药大学,南昌 330000;2.江西中医药大学附属医院肾内科,南昌 330000

中图分类号:

R-33


Mechanism of Shenshuai Recipe in treating chronic kidney disease-related myocardial injury based on network pharmacology
Author:
Affiliation:

1. Jiangxi University of Chinese Medicine, Nanchang 330000, China. 2. Department of Nephrology, Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang 330000

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    摘要:

    目的 采用网络药理学和分子对接的研究方法,预测肾衰方慢性肾病(chronic kidney disease,CKD)心肌损伤的作用机制。 方法 利用TCMSP 数据库、Herb 本草组鉴数据库(http:/ / herb. ac. cn/ )和SWISS Target prediction 数据库筛选活性成分靶点信息,然后通过Uniprot 数据库筛选出人类靶点和规范基因名;使用Cytoscape 3. 7. 2 软件作药物-有效成分-靶点网络图;选用GeneCards 数据库收集疾病相关靶点;利用Venny 2. 1 建立“肾衰方”抗CKD 心肌损伤的基因靶点数据库;利用String 数据库构建主要成分靶点互作网络并筛选关键靶点;然后导入Cytoscape 3. 7. 2 软件进行拓扑分析和构建PPI 网络图,最后用DAVID 平台进行Kyoto Encyclopedia of Genes and Genomes (KEGG)通路富集分析(P<0. 05)和Gene Ontology(GO)生物学功能注释。 结果 经过筛选,肾衰方活性化合物为252 个;肾衰方与CKD 心肌损伤共同靶点649 个,其中AKT1、TNF、MAPK3、VEGFA 可能是肾衰方治疗CKD 心肌损伤的重要靶点;进行GO 分析,得到Biological precess(BP)1485 条目,Celler component(CC)176 条目,Molecular function(MF)386 条目,其中富集基因数量最多的条目为plasma membrane、cytosol、cytoplasm,分别分布了313、304、276 个基因;进行KEGG 分析,肾衰方治疗CKD 心肌损伤参与的通路可能有HIF-1α 通路、Lipid and atherosclerosis 通路、AGE-RAGE signaling pathway in diabetic complications 通路、PI3K-AKT 通路、Insulin resistance 通路等。 结论 肾衰方可能通过参与改善胰岛素抵抗,改善脂质代谢、抗动脉粥样硬化,调节炎性因子和血管内皮生长因子等的表达等多重机制发挥心肾保护作用,其中PI3K/ AKT 和MAPK 可能是重要的调节通路。

    Abstract:

    Objective To predict the mechanism of Shenshuai Prescription (SSR) in chronic kidney disease(CKD)-related myocardial injury using network pharmacology and molecular docking method. Methods We used the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) and Herb herbal medicine identification database (http:/ / herb. ac. cn/ ), and the SwissTargetPrediction database to screen target information of active ingredients. We then used the UniProt database to screen for human targets and standard gene names. A drug active ingredient target network diagram was constructed using Cytoscape 3. 7. 2 software, and the GeneCards database was used to collect disease-related targets. The “ Shenshuai Recipe” against CKD myocardial injury gene target database was established using Venny 2. 1, and the STRING database was used to build the main component target interaction network and screen key targets. Cytoscape 3. 7. 2 software was imported for topology analysis and a protein-protein interaction network diagram was constructed. Finally, the DAVID platform was used for Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and Gene Ontology (GO) biological function annotation. Results After screening, there were 252 active compounds in SSR and 649 common targets of SSR and CKD myocardial injury, among which AKT Serine/ Threonine Kinase 1 (AKT1), Tumor Necrosis Factor (TNF), Mitogen-Activated Protein Kinase 3 (MAPK3), and Vascular Endothelial Growth Factor A (VEGFA) may be important targets of SSR in treating CKD myocardial injury. GO analysis identified 1485 Biological process items, 176 Cell component items, and 386 Molecular function items, of which plasma membrane, cytosol, and cytoplasm had the largest number of enriched genes, and 313, 304, 276 genes were distributed respectively. KEGG analysis indicated that HIF-1α, Lipid and atherosclerosis, AGE-RAGE signaling path in diagnostic complexes, phosphoinositide 3-kinase (PI3K)-AKT, and insulin resistance pathways might be involved in the mechanisms of SSR in treating CKD myocardial injury. Conclusions SSR might play a role in cardiorenal protection by participating in multiple mechanisms, including improving insulin resistance, improving lipid metabolism, antiatherosclerosis, and regulating the expression of inflammatory factors and vascular endothelial growth factor, with the PI3K/Akt and mitogen-activated protein kinase pathways being potentially important signal regulation pathways.

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张格第,刘庚鑫,罗富里,晏子友.基于网络药理学研究肾衰方治疗CKD 心肌损伤的作用机制[J].中国比较医学杂志,2023,33(7):17~25.

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  • 收稿日期:2022-10-24
  • 在线发布日期: 2023-08-18
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