目的 探究药食同源中药防治现代病毒性疫病的应用规律及机制。方法 应用文献挖掘的方法，基于现代病毒性疫病病症特点，结合古籍及现代防治病毒性疫病处方构建相关处方数据库；然后应用SPSS、R语言等分析这些处方中的高频药食同源中药、高置信度药食同源处方，并进行聚类分析；确定并分析高频药食同源中药的抗病毒特征性活性成分，采用网络药理学的方法评价活性成分防治现代病毒性疫病的作用机制。结果 药食同源中药在防治现代病毒性疫病方面，甘草-陈皮-茯苓置信度最高，甘草-桔梗支持度最高，同时对处方进行聚类分析得到金银花-黄芪-藿香、甘草-杏仁-茯苓-桔梗-陈皮、干姜-人参、紫苏-葛根、芦根-桑叶、生姜-大枣新处方；确定了核心作用靶点为EGFR、CASP3、VEGFA、STAT3、MMP9、HSP90AA1、MTOR、PTGS2、MMP2、TLR4、MAPK14等，作用机制涉及人巨细胞病毒感染、冠状病毒病-新型冠状病毒肺炎（coronavirus disease 2019，COVID-19）等，核心作用通路为磷脂酰肌醇-3-羟激酶（phosphatidylinositol-3-hydroxykinase，PI3K）/蛋白激酶B（protein kinase B，Akt）信号通路、酪氨酸激酶（mitogen-activated protein kinase，MAPK）信号通路、白细胞介素-17（interleukin-6，IL-17）信号通路、Janus激酶（Janus kinase，JAK）/信号转导和转录激活因子（signal transducer and activator of transcription，STAT）信号通路等。结论 通过数据挖掘得到了6个药食同源中药防治现代病毒性疫病的新处方，初步探讨了作用机制，为防治病毒性疫病药食同源中药处方及相关健康产品的研究开发提供一定的借鉴。

Objective To explore the application pattern and mechanism of medicine and food homologous traditional Chinese medicine (TCM) against modern viral diseases. Methods The method of literature mining was applied based on the characteristics of modern viral diseases, combining with ancient books and modern prescriptions for the prevention and treatment of viral diseases to build a relevant prescription database. Then SPSS and R language were used to analyze the high-frequency medicine and food homologous TCM and high confidence medicine and food homologous prescriptions in these prescriptions, and cluster analysis was carried out. The antiviral characteristic active ingredients of high-frequency medicinal and food homologous TCN were identified and analyzed, and the action mechanism of active ingredients against modern viral diseases was evaluate by network pharmacology. Results In the prevention and treatment of modern viral diseases, Gancao (Glycyrrhizae Radix et Rhizoma)-Chenpi (Citri Reticulatae Pericarpium)-Fuling (Poria) had the highest confidence, Glycyrrhizae Radix et Rhizoma-Jiegeng (Platycodonis Radix) had the highest support. At the same time, the prescriptions were clustered and analyzed to obtain Jinyinhua (Lonicerae Japonicae Flos)-Huangqi (Astragali Radix)-Huoxiang (Agastache rugosa), Glycyrrhizae Radix et Rhizoma-Xingren (Armeniacae Semen Amarum)-Poria-Platycodonis Radix-Citri Reticulatae Pericarpium, Ganjiang (Zingiberis Rhizoma)-Renshen (Ginseng Radix et Rhizoma), Zisu (Perilla frutescens)-Gegen (Puerariae Lobatae Radix), Lugen (Phragmitis Rhizoma)-Sangye (Mori Folium), Shengjiang (Zingiberis Rhizoma Recens)-Dazao (Jujubae Fructus) clustering new prescription. The core action targets of EGFR, CASP3, VEGFA, STAT3, MMP9, HSP90AA1, mTOR, PTGS2, MMP2, TLR4, MAPK14, etc were identified. The action mechanism involved human cytomegalovirus infection, coronavirus disease-coronavirus disease 2019 (COVID-19), etc. The core action pathway were phosphatidylinositol-3/kinase protein kinase B (PI3K/Akt) signal pathway, mitogen activated protein kinase (MAPK) signal pathway, interleukin-17 (IL-17) signal pathway, Janus kinase/signal transducer and activator of transcription (JAK/STAT) signal pathway, etc. Conclusion Through data mining, six new prescriptions for preventing and controlling modern viral diseases were obtained, and the mechanism of action was preliminarily discussed, which provided some reference for the research and development of medicine and food homologous TCM prescriptions for the prevention and treatment of viral epidemics and related health products.

R285

中国-东盟传统药物研究国际联合实验室建设项目(AD19110165);国家自然科学基金项目(NO.82060762);广西创新驱动重大专项(AA19254033);广西科技重大专项(AA18118049)