| 郑志锋,温小丽,罗辉,白庆云,钟叶,王博龙.基于GEO数据集和网络药理学探讨枳实薤白桂枝汤治疗冠心病的分子生物学机制[J].井冈山大学自然版,2025,46(2):58-67 |
| 基于GEO数据集和网络药理学探讨枳实薤白桂枝汤治疗冠心病的分子生物学机制 |
| THE MOLECULAR MECHANISM OF ZHISHI XIEBAI GUIZHI DECOCTION FOR TREATING CORONARY HEART DISEASE BASED ON GEO DATA SET AND NETWORK PHARMACOLOGY |
| 投稿时间：2024-12-12 修订日期：2025-02-20 |
| DOI：10.3969/j.issn.1674-8085.2025.02.008 |
| 中文关键词: 枳实薤白桂枝汤 冠心病 网络药理学 GEO数据集 分子机制 |
| 英文关键词: Zhishi Xiebai Guizhi Decoction(ZXGD) coronary heart disease(CHD) network pharmacology GEO data set molecular mechanism |
| 基金项目:国家自然科学基金项目(81960748)；江西省教育厅科技计划项目(GJJ211617) |
| 作者 | 单位 | E-mail | | 郑志锋 | 宜春学院化学与生物工程学院, 江西, 宜春 336000 | | | 温小丽 | 宜春市第二人民医院, 江西, 宜春 336000 | | | 罗辉 | 井冈山大学基础医学院, 江西, 吉安 343009 | | | 白庆云 | 宜春学院化学与生物工程学院, 江西, 宜春 336000 | | | 钟叶 | 宜春学院化学与生物工程学院, 江西, 宜春 336000 | | | 王博龙 | 宜春学院化学与生物工程学院, 江西, 宜春 336000 | wblong77@126.com |
|
| 摘要点击次数: 304 |
| 全文下载次数: 2526 |
| 中文摘要: |
| 本研究依托 TCMSP 数据库和 SwissTarget Prediction 平台预测枳实薤白桂枝汤活性成分靶基因；基于 GEO数据集分析冠心病差异基因；筛选活性成分靶基因与冠心病差异基因的共有基因。借助 Cytoscape 软件、STRING数据库分别构建活性成分－靶基因网络及 PPI 网络以挖掘核心成分及关键靶基因；再利用 DAVID 6.8 和 Omicshare平台开展关键靶基因的 GO 富集和 KEGG 富集；最后使用 AutoDock Vina 软件将枳实薤白桂枝汤关键靶点与核心成分进行对接。发现 31 个枳实薤白桂枝汤活性成分通过 APP、VEGFA、MAPK8、SRC、CREB1、JUN、BCL2L1、MMP9、TLR4、HSP90AA1 十个关键靶基因，参与细胞凋亡过程的负调节、RNA 聚合酶 II 启动子转录的正调节等主要生物过程；调控流体剪切应力和动脉粥样硬化、松弛素信号通路、雌激素信号通路、HIF-1 信号通路以及多条免疫炎症信号通路；核心成分和厚朴酚能与 APP、VEGFA、BCL2L1、JUN 等关键靶点结合。由此可见，枳实薤白桂枝汤能多成分、多靶点协同治疗冠心病，其主要作用机制包括调控流体剪切应力和动脉粥样硬化、调节免疫炎症，抗缺氧等。 |
| 英文摘要: |
| The TCMSP database and SwissTarget Prediction platform were used to predict the target genes of active components in Zhishi Xiebai Guizhi Decoction(ZXGD). The differential expressed genes in CHD were analyzed based on GEO datasets. The common genes between the active component targets and CHD differential genes were screened. Cytoscape software and STRING database were employed to construct the component-target networks and protein-protein interaction (PPI) networks respectively, identifying core components and key targets. DAVID 6.8 and Omicshare platform were used for GO enrichment and KEGG pathway analysis of key targets. Molecular docking between core components and key targets was performed using AutoDock Vina. The results revealed that 31 active components act through 10 key targets (APP, VEGFA, MAPK8, SRC, CREB1, JUN, BCL2L1, MMP9, TLR4, HSP90AA1), these targets participate in major biological processes including negative regulation of apoptotic process and positive regulation of RNA polymerase II promoter transcription, regulating pathways such as fluid shear stress and atherosclerosis, relaxin signaling pathway, estrogen signaling pathway, HIF-1 signaling pathway, and various immune-inflammatory pathways. The core components honokiol can bind to the key targets such as APP, VEGFA, BCL2L1 and JUN. This study demonstrates that ZXGD exerts therapeutic effects on CHD through multi-component and multi-target synergy, primarily involving in the regulation of fluid shear stress and atherosclerosis, immune-inflammatory modulation, and anti-hypoxic mechanisms. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
