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基于网络药理学和分子模拟技术探讨苓桂术甘汤治疗高血压的作用机制

Discussion on the mechanism of Lingguizhugan Decoction in treating hypertension based on network pharmacology and molecular simulation technology.

作者信息

Dong Qi, Huang Yu-Jiao, Tao Zhi-Yu, Huang Han-Yue, Luo Lin-Hui, Zhang Ying-Qing

机构信息

Pharmaceutical Engineering Department, School of Food and Bioengineering, Hubei University of Technology, Wuhan, China.

出版信息

J Biomol Struct Dyn. 2025 Mar;43(4):2159-2170. doi: 10.1080/07391102.2023.2294172. Epub 2023 Dec 18.

Abstract

To explore the mechanism of Lingguizhugan Decoction in treating hypertension based on network pharmacology and molecular simulation. The active ingredients and potential targets were screened by the Systematic Pharmacological Analysis Platform of Traditional Chinese Medicine (TCMSP). Hypertension-related targets were obtained from OMIM and GeneCards databases. Common targets between drug and hypertension were screened in the Venny platform. A protein-protein interaction (PPI) network was constructed in the STRING database using intersection targets. Key targets in PPI network were analyzed by Cytoscape. R language program was used for Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Finally, the binding abilities of the main active ingredients to critical targets were verified by molecular simulation. Naringenin, quercetin, kaempferol, and β-sitosterol in Lingguizhugan Decoction, and potential targets such as STAT3, AKT1, TNF, IL6, JUN, PTGS2, MMP9, CASP3, TP53, and MAPK3, were screened out. KEGG Enrichment analysis revealed that the common targets of Lingguizhugan Decoction and hypertension are mainly involved in the lipid and atherosclerosis signaling pathway, AGE-RAGE signaling pathway in diabetic complications, fluid shear stress and atherosclerosis, and IL17 signaling pathway. The molecular simulation results showed that naringenin-MAPK3, quercetin-MMP9, quercetin-PTGS2, and quercetin-TP53 were the top four in the docking scores. Naringenin-MAPK3 and quercetin-MMP9 were stable, with binding free energies of -27.97 ± 1.41 kcal/mol and -21.15 ± 3.17 kcal/mol, respectively. The possible mechanism of Lingguizhugan Decoction in treating hypertension is characterized of multi-component, multi-target, and multi-pathway.Communicated by Ramaswamy H. Sarma.

摘要

基于网络药理学和分子模拟探讨苓桂术甘汤治疗高血压的作用机制。通过中药系统药理学分析平台(TCMSP)筛选活性成分和潜在靶点。从OMIM和GeneCards数据库中获取高血压相关靶点。在Venny平台筛选药物与高血压之间的共同靶点。利用交集靶点在STRING数据库中构建蛋白质-蛋白质相互作用(PPI)网络。通过Cytoscape分析PPI网络中的关键靶点。使用R语言程序进行基因本体(GO)功能注释和京都基因与基因组百科全书(KEGG)通路富集分析。最后,通过分子模拟验证主要活性成分与关键靶点的结合能力。筛选出苓桂术甘汤中的柚皮素、槲皮素、山奈酚和β-谷甾醇,以及信号转导和转录激活因子3(STAT3)、蛋白激酶B(AKT1)、肿瘤坏死因子(TNF)、白细胞介素6(IL6)、原癌基因c-Jun(JUN)、环氧化酶2(PTGS2)、基质金属蛋白酶9(MMP9)、半胱天冬酶3(CASP3)、肿瘤蛋白p53(TP53)和丝裂原活化蛋白激酶3(MAPK3)等潜在靶点。KEGG富集分析显示,苓桂术甘汤与高血压的共同靶点主要涉及脂质与动脉粥样硬化信号通路、糖尿病并发症中的晚期糖基化终末产物-晚期糖基化终末产物受体(AGE-RAGE)信号通路、流体切应力与动脉粥样硬化以及白细胞介素17(IL17)信号通路。分子模拟结果显示,柚皮素-MAPK3、槲皮素-MMP9、槲皮素-PTGS2和槲皮素-TP53的对接分数排名前四位。柚皮素-MAPK3和槲皮素-MMP9稳定,结合自由能分别为-27.97±1.41千卡/摩尔和-21.±3.17千卡/摩尔。苓桂术甘汤治疗高血压的可能机制具有多成分、多靶点和多途径的特点。由拉马斯瓦米·H·萨尔马通讯。

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