首页|期刊导航|药食同源杂志|隐结构模型与网络药理学分析"黄芪-川芎"药对的配伍规律及其治疗急性心肌梗死的潜在机制

隐结构模型与网络药理学分析"黄芪-川芎"药对的配伍规律及其治疗急性心肌梗死的潜在机制OA

Compatibility rules of Huangqi(Astragali Radix)-Chuanxiong(Chuanxiong Rhizoma)medicinal pair and its potential mechanism in treating acute myocardial infarction based on latent structure model and network pharmacology

中文摘要英文摘要

目的 通过数据挖掘与网络药理学方法,探讨"黄芪-川芎"药对的临床配伍规律,并深入发掘该药对治疗急性心肌梗死(AMI)的分子机制.方法 基于《中医方剂大辞典》筛选出含"黄芪-川芎"的方剂,进行基础统计、关联规则分析和隐结构模型分析;运用网络药理学预测活性成分、靶点及通路,并通过分子对接验证核心成分与关键靶点的结合活性.结果 基础统计共纳入 200 首方剂,药对多与当归、甘草、人参配伍,剂量配比以 1∶1 占主导地位;关联规则分析显示核心药对与当归、甘草、人参具有强关联;隐结构模型提取出 7 个隐变量,识别出以"健脾(茯苓、白术)"为结构中心的模块,并与"补气"模块紧密关联.网络药理学共筛选出 22 个活性成分,并鉴定出与AMI相关的 116 个交集靶点,显著富集于肿瘤坏死因子(TNF)、磷脂酰肌醇-3-激酶(PI3K)-蛋白激酶B(Akt)等信号通路;分子对接结果表明,槲皮素、山柰酚等核心成分与TNF、ESR1 等关键靶点的结合能均小于-8.0 kcal/mol,具有强亲和力.结论"黄芪-川芎"药对呈现"益气活血为体、健脾为枢"的模块化配伍,可能通过多通路协同(抑制凋亡、抗炎、内皮保护)治疗AMI.

Objective To explore the clinical compatibility rules of Huangqi(Astragali Radix)-Chuanxiong(Chuanxiong Rhizoma)medicinal pair through data mining and network pharmacology methods,and to further investigate the multi-component and multi-target molecular mechanisms underlying its therapeutic effects on acute myocardial infarction(AMI).Methods Based on the Dictionary of Chinese Medicine Formulas,formulas containing the Huangqi(Astragali Radix)-Chuanxiong(Chuanxiong Rhizoma)medicinal pair were screened for basic statistical analysis,association rule analysis,and latent structure model analysis.Network pharmacology was utilized to predict active components,targets,and pathways,and molecular docking was performed to verify the binding affinity between core components and key targets.Results A total of 200 formulas were included in the basic statistical analysis.The medicinal pair was most frequently combined with Danggui(Angelicae Sinensis Radix),Gancao(Glycyrrhizae Radix et Rhizoma),and Renshen(Ginseng Radix et Rhizoma),with a dominant dosage ratio of 1:1.Association rule analysis revealed strong associations of the core medicinal pair with Danggui(Angelicae Sinensis Radix),Gancao(Glycyrrhizae Radix et Rhizoma),and Renshen(Ginseng Radix et Rhizoma).The latent structure model extracted seven latent variables and identified a module centered on"spleen-strengthening"[Fuling(Poria)and Baizhu(Atractylodis Macrocephalae Rhizoma)],which was closely linked to the"qi-tonifying"module.Network pharmacology screened 22 active components and 116 AMI-related intersecting targets,significantly enriched in tumor necrosis factor(TNF),phosphatidylinositol 3-kinase(PI3K)-protein kinase B(Akt),and other signaling pathways.Molecular docking demonstrated that the binding energies of core components such as quercetin and kaempferol with key targets including TNF and ESR1 were all less than-8.0 kcal/mol,indicating strong affinity.Conclusion The Huangqi(Astragali Radix)-Chuanxiong(Chuanxiong Rhizoma)medicinal pair exhibits a modular compatibility pattern characterized by"qi-tonifying and blood-circulating as the foundation,and spleen-strengthening as the pivot".It may exert therapeutic effects on AMI through multi-pathway synergy(inhibition of apoptosis,anti-inflammation,and endothelial protection).

李扬;郑淋淋;廖青娥;陈聪

湖南中医药大学,湖南 长沙 410208湖南中医药大学,湖南 长沙 410208湖南中医药大学,湖南 长沙 410208湖南中医药大学,湖南 长沙 410208

医药卫生

黄芪-川芎数据挖掘隐结构网络药理学心脾相关分子对接

Huangqi(Astragali Radix)-Chuanxiong(Chuanxiong Rhizoma)data mininglatent structure modenetwork pharmacologyheart-spleen correlationmolecular docking

《药食同源杂志》 2026 (4)

316-326,11

湖南省教育厅科学研究重点项目(22A0274)湖南省中医药科研计划重点项目(A2023030)湖南中医药大学科研基金项目(2023BKS014、2024CX213、2025CX055)湖南省大学生创新训练计划一般项目(S202410541159).

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