Exploring the mechanism of Shexiang Tongxin dropping pill in the treatment of microvascular angina through network pharmacology and molecular docking

被引:10
|
作者
Chang, Chen [1 ]
Ren, Yanling [1 ]
Su, Qiang [1 ]
机构
[1] Guilin Med Univ, Affiliated Hosp, Dept Cardiol, 15 Lequn Rd, Guilin 541000, Peoples R China
基金
中国国家自然科学基金;
关键词
Shexiang Tongxin dropping pill (STDP); microvascular angina (MVA); network pharmacology; molecular docking; TLR4/MYD88/NF-KAPPA-B SIGNALING PATHWAY; GENE; PATHOPHYSIOLOGY; PREDICTION;
D O I
10.21037/atm-22-3976
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Microvascular angina (MVA) is a group of clinical manifestations of angina pectoris or angina-like chest pain, positive exercise test, and exclusion of epicardial coronary artery spasm, wherein coronary angiography (CAG) does not present obvious epicardial vascular stenosis. Shexiang Tongxin dropping pill (STDP) has the effect of benefiting the Qi and opening the blood vessels, activating blood circulation, and resolving blood stasis. We explored the mechanism of STDP against MVA by network pharmacology and molecular docking. Methods: Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), literature search, SwissTargetPrediction database, and high-throughput experiment- and reference-guided database of traditional Chinese medicine (HERB) were applied to identify the active ingredients and targets of STDP. The MVA targets were searched in the databases of GeneCards, Pharmacogenetics and Pharmacogenomics Knowledge Base (PharmGKB), DisGeNET, Online Mendelian Inheritance in Man (OMIM), and Therapeutic Target Database (TTD). The common targets of STDP and MVA were screened. The software RStudio 4.1.3 was used to analyze the enrichment of these targets using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Protein-protein interaction (PPI) network analysis of the common targets was performed using the Search Tool for the Retrieval of Interacting Genes/Genomes (STRING) database. The cytoHubba plug-in of Cytoscape 3.9.1 software was employed to analyze the PPI network and obtain the core targets. Molecular docking was performed to verify the relationship between the core compounds and proteins with AutoDock Tools 1.5.7 and Pymol 2.4.0. Results: We identified 93 effective components of STDP, 310 potential targets, 981 MVA targets, and 138 intersectional targets. The potential anti-MVA mechanism of STDP may involve the advanced glycation end products/receptor for advanced glycation end products (AGE-RAGE) signaling pathway in diabetic complications; lipids and atherosclerosis; fluid shear stress; atherosclerosis; the tumor necrosis factor (TNF), interleukin (IL)-17, hypoxia-inducible factor (HIF)-1, and C-type lectin receptor signaling pathways. Further, STDP mainly acts on its targets IL-6, AKT1, STAT3, JUN, and IL-1 beta to against MVA. Conclusions: The STDP may exert its therapeutic effects through processes, such as anti-inflammation, promotion of smooth muscle cell proliferation and differentiation, lipid metabolism, immunomodulation, and regulation of cellular autophagy.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] Exploring the mechanism of curcumin in the treatment of colon cancer based on network pharmacology and molecular docking
    He, Qingmin
    Liu, Chuan
    Wang, Xiaohan
    Rong, Kang
    Zhu, Mingyang
    Duan, Liying
    Zheng, Pengyuan
    Mi, Yang
    FRONTIERS IN PHARMACOLOGY, 2023, 14
  • [22] Effect of Shexiang Tongxin dropping pill on stable coronary artery disease patients with normal fractional flow reserve and coronary microvascular disease A study protocol
    Lu, Yanli
    Chu, Xiaopeng
    Zhang, Jiefang
    Zhao, Yanbo
    Jin, Chongying
    Zhu, Junhui
    Fu, Guosheng
    Qiu, Fuyu
    MEDICINE, 2020, 99 (38)
  • [23] Exploring the mechanism of Suanzaoren decoction in treatment of insomnia based on network pharmacology and molecular docking
    Wang, Shuxiao
    Zhao, Yan
    Hu, Xingang
    FRONTIERS IN PHARMACOLOGY, 2023, 14
  • [24] Exploring the mechanism of Erchen decoction in the treatment of atherosclerosis based on network pharmacology and molecular docking
    Li, Wenwen
    Zhang, Guowei
    Zhao, Zhenfeng
    Zuo, Yaoyao
    Sun, Zhenhai
    Chen, Shouqiang
    MEDICINE, 2023, 102 (46) : E35248
  • [25] Efficacy and compatibility mechanism of bear bile powder in Shexiang Tongxin dropping pills for acute myocardial infarction treatment
    Luo, Yu
    Zhang, Fangmin
    Zhu, Lidan
    Ye, Jianfeng
    Pan, Hong-ye
    Lu, Xiaoyan
    Fan, Xiaohui
    CHINESE MEDICINE, 2025, 20 (01):
  • [26] Investigating the molecular mechanism of Compound Danshen Dropping Pills for the treatment of epilepsy by utilizing network pharmacology and molecular docking technology
    Huang, Dan
    Wen, Xiaolong
    Lu, Chuansen
    Zhang, Bo
    Fu, Zongjun
    Huang, Yingliu
    Niu, Kun
    Yang, Fan
    ANNALS OF TRANSLATIONAL MEDICINE, 2022, 10 (04)
  • [27] Exploring the Potential Molecular Mechanism of the Shugan Jieyu Capsule in the Treatment of Depression through Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation
    Liu, Zhiyao
    Huang, Hailiang
    Yu, Ying
    Jia, Yuqi
    Li, Lingling
    Shi, Xin
    Wang, Fangqi
    CURRENT COMPUTER-AIDED DRUG DESIGN, 2024, 20 (05) : 501 - 517
  • [28] Exploring the Mechanism of Hippophae Fructus Anti-obesity through Network Pharmacology and Molecular Docking
    Mengke L.
    Ziqin W.
    Chun Z.
    Fei W.
    Zhixi C.
    Yani W.
    Mengze T.
    Rui L.
    Xudong T.
    Science and Technology of Food Industry, 2024, 45 (06) : 1 - 11
  • [29] Exploring the therapeutic mechanism of Huayu Pill on breast cancer patients based on network pharmacology theory and molecular docking technology
    Liu, Jinwen
    EUROPEAN JOURNAL OF GYNAECOLOGICAL ONCOLOGY, 2023, 44 (02) : 136 - 136
  • [30] Network Pharmacology and Molecular Docking to Explore the Pharmacological Mechanism of the Zuojin Pill in Treating CAG
    Liu, Yantong
    Cao, Qi
    Ren, Shuang
    Li, Xiaochen
    JOURNAL OF BIOLOGICAL REGULATORS AND HOMEOSTATIC AGENTS, 2023, 37 (10): : 5653 - 5668