【目的】 基于数据挖掘及“毒”邪理论，探索芪参颗粒治疗冠心病心力衰竭（CHD-HF）的优化思路，并通过网络药理学 方法预测其活性成分和作用机制。【方法】 收集相关数据库关于中医药治疗 CHD-HF 的文献，按纳入、排除标准筛选文献， 建立处方数据库，用古今医案云平台进行频次、关联规则及层次聚类等分析。运用网络药理学技术筛选优化核心药物组合 治疗 CHD-HF的潜在的靶点，进行靶点与通路的功能富集分析。【结果】 共纳入文献336篇，处方339个，中药191味，其中 12味中药使用频次超过100次；治疗CHD-HF的核心药物组合包括黄芪、茯苓、丹参、甘草、川芎等，常用解毒药物有益母 草、黄连等。关联规则分析获得10条二项关联、17条三项关联；聚类分析聚为5类。根据数据挖掘及“毒”邪理论，将治 疗CHD-HF的药物组合优化为黄芪、丹参、附子、甘草、黄连及蒲公英。网络药理学分析共得到366个优化组合与CHD-HF 的共同靶点，筛选出16个核心靶点；京都基因与基因组百科全书（KEGG）分析显示主要富集在癌症通路、脂质和动脉粥样硬 化、Rap1信号通路、缺氧诱导因子 1（HIF-1）信号通路、磷脂酰肌醇-3激酶/蛋白激酶B（PI3K/Akt）信号通路、Ras信号通路、 丝裂原活化蛋白激酶（MAPK）信号通路等。【结论】 中药治疗CHD-HF以益气温阳、活血利水为主。根据数据挖掘结果，结合 “毒”邪理论，对芪参颗粒治疗CHD-HF的组方思路进行优化，其可能通过抗炎、抗凋亡及抗缺氧等多种生理过程发挥治疗 作用。

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 threeitem 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.

R285

国家重点基础研究发展计划（973计划）项目（编号：2022YFC3500105，2022YF3500100）