[1]姚帅君,温岩,朱建华,等.基于数据挖掘和网络药理学的含党参方剂治疗心悸用药规律及分子机制研究[J].西部中医药,2026,39(03):122-129.[doi:10.12174/j.issn.2096-9600.2026.03.23]
 YAO Shuaijun,WEN Yan,ZHU Jianhua,et al.Medication Rules and Molecular Mechanisms of Dangshen-Containing Formulas in the Treatment of Palpitation: A Study Based on Data Mining and Network Pharmacology[J].Western Journal of Traditional Chinese Medicine,2026,39(03):122-129.[doi:10.12174/j.issn.2096-9600.2026.03.23]
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基于数据挖掘和网络药理学的含党参方剂治疗心悸用药规律及分子机制研究()

《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
39
期数:
2026年03期
页码:
122-129
栏目:
二次研究
出版日期:
2026-03-15

文章信息/Info

Title:
Medication Rules and Molecular Mechanisms of Dangshen-Containing Formulas in the Treatment of Palpitation: A Study Based on Data Mining and Network Pharmacology
作者:
姚帅君, 温岩, 朱建华, 田雅娟, 杨继红, 闫敬来
山西中医药大学,山西 晋中 030619
Author(s):
YAO Shuaijun, WEN Yan, ZHU Jianhua, TIAN Yajuan, YANG Jihong, YAN Jinglai
Shanxi University of Traditional Chinese Medicine, Jinzhong 030619, China
关键词:
心悸党参网络药理学数据挖掘
Keywords:
palpitationnetwork pharmacologydata mining
分类号:
R285
DOI:
10.12174/j.issn.2096-9600.2026.03.23
文献标志码:
A
摘要:
目的探讨含党参方剂治疗心悸的用药规律及党参的作用机制,为党参的临床应用及中药新药研发提供参考。 方法基于数据挖掘技术,运用SPSS Modeler与SPSS Statistics软件,对治疗心悸的含党参方剂开展常用药物配伍及组方规律分析;采用网络药理学方法解析党参治疗心悸的分子机制,并通过Cytoscape软件完成可视化处理;借助AutoDock、PyMOL等软件实施分子对接,进一步运用Discovery Studio软件开展分子动力学模拟分析。 结果共筛选出治疗心悸的含党参方剂88首,提炼出高频中药15味;通过关联规则分析获得高频药物组合28个,聚类分析得到药物聚类组合6组,因子分析共提取公因子10个。网络药理学筛选得到党参活性化学成分31个,经京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)富集分析,得到相关通路34条。分子对接结果显示,半胱天冬酶3(Caspase-3,CASP3)与豆甾醇的结合活性最强(结合能为-7.7 kcal/mol)。 结论党参可能通过调节表皮生长因子受体、CASP3、白细胞介素6、血管内皮生长因子A等靶点,干预细胞凋亡、缺氧诱导因子1、雌激素、缩宫素等信号通路,从而发挥治疗心悸的作用,为后续深入研究党参的活性成分提供了理论依据。
Abstract:
ObjectiveTo explore the medication rules of Dangshen-containing formula in the treatment of palpitation and the underlying mechanisms of Dangshen, thereby providing a reference for the clinical application of Dangshen and the development of novel traditional Chinese medicines. MethodsBased on data mining technology, commonly used drug combinations and formula composition rules of Dangshen-containing formulas for the treatment of palpitation were analyzed using SPSS Modeler and SPSS Statistics software. Network pharmacology methods were employed to elucidate the molecular mechanisms of Dangshen in treating palpitation, and visualization was performed using Cytoscape software. Molecular docking was conducted using AutoDock and PyMOL software, followed by molecular dynamics simulation analysis using Discovery Studio software. ResultsA total of 88 Dangshen-containing formulas for the treatment of palpitation were screened, from which 15 high-frequency traditional Chinese medicines were identified. Through association rule analysis, 28 high-frequency drug combinations were obtained. Cluster analysis yielded 6 clustered drug groups, and factor analysis extracted 10 common factors. Network pharmacology screening identified 31 active chemical components of Dangshen. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed 34 related pathways. Molecular docking results showed that Caspase-3 (CASP3) exhibited the strongest binding activity with stigmasterol, with a binding energy of -7.7 kcal/mol. Conclusion Dangshen may exert its therapeutic effect on palpitation by regulating targets such as epidermal growth factor receptor, CASP3, interleukin-6, and vascular endothelial growth factor A, thereby intervening in signaling pathways including apoptosis, hypoxia-inducible factor 1, estrogen, and oxytocin. These findings provide a theoretical basis for subsequent in-depth research on the active components of Dangshen.

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备注/Memo

备注/Memo:
山西省国际科技合作重点研发项目(201803D421006);山西省科技基础条件平台项目(201605D121011);山西中医药大学科研项目(2020PY-FZ-15)。姚帅君(1998—),男,硕士学位。研究方向:区域医学史。
更新日期/Last Update: 2026-03-15