Integrating Data Mining and Network Pharmacology to Explore the Optimization Strategy and Mechanism of Qishen Granules in Treating Coronary Heart Disease with Heart Failure
10.13359/j.cnki.gzxbtcm.2025.06.023
- VernacularTitle:融合数据挖掘及网络药理学探讨芪参颗粒治疗冠心病心力衰竭的组方优化思路及机制
- Author:
Jianwei YUE
1
;
Jianglin XU
;
Ligen DAO
;
Jiale HE
;
Jiangfeng ZHAO
;
Jun WANG
;
Zhi YANG
;
Chun LI
;
Wei WANG
Author Information
1. 广州中医药大学,广东 广州 510006;包头医学院第二附属医院,内蒙古自治区高血压研究所,内蒙古 包头 014030
- Keywords:
Qishen Granules;
coronary heart disease(CHD);
heart failure(HF);
data mining;
network pharmacology
- From:
Journal of Guangzhou University of Traditional Chinese Medicine
2025;42(6):1454-1463
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the optimization strategy of Qishen Granules in treating coronary heart disease with heart failure(CHD-HF)based on data mining and the pathogenic"toxin"theory,and to predict its active components and mechanisms using network pharmacology.Methods Literature on traditional Chinese medicine(TCM)for treating CHD-HF was collected from relevant databases,and prescriptions were screened and established into a database according to inclusion and exclusion criteria.Frequency,association rules,and hierarchical clustering analyses were performed using the Ancient and Modern Medical Case Cloud Platform.Network pharmacology techniques were applied to screen potential targets of the optimized combination for treating CHD-HF,and carry out the targets and pathways enrichment analysis.Results A total of 336 articles and 339 prescriptions involving 191 herbs were included,with 12 herbs used more than 100 times.The core drug combinations for treating CHD-HF included Astragali Radix,Poria,Salviae Miltiorrhizae Radix et Rhizoma,Glycyrrhizae Radix et Rhizoma,Chuanxiong Rhizoma,etc,while commonly used detoxifying herbs included Leonuri Herb,Coptidis Rhizoma,etc.Association rule analysis yielded 10 two-item associations and 17 three-item associations;clustering analysis grouped the data into 5 categories.Based on data mining and the pathogenic"toxin"theory,the combination for treating CHD-HF was optimized to include Astragali Radix,Salviae Miltiorrhizae Radix et Rhizoma,Aconiti Lateralis Radix Praeparata,Glycyrrhizae Radix et Rhizoma,Coptidis Rhizoma,and Taraxaci Herba.Network pharmacology analysis identified 366 common targets between the optimized combination and CHD-HF,with 16 core targets screened out.Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis revealed significant enrichment in pathways such as cancer pathways,lipid and atherosclerosis,Rap1 signaling pathway,hypoxia-inducible factor 1(HIF-1)signaling pathway,phosphatidylinositol-3-kinase/protein kinase B(PI3K/Akt)signaling pathway,Ras signaling pathway,and mitogen-activated protein kinase(MAPK)signaling pathway.Conclusion TCM treatment for CHD-HF primarily focuses on replenishing qi and warming yang,activating blood circulation and resolving fluid retention.Based on data mining results and the pathogenic"toxin"theory,the formulation strategy of Qishen Granules for treating CHD-HF was optimized,potentially exerting therapeutic effects through anti-inflammatory,anti-apoptotic,and anti-hypoxia physiological processes.
