[关键词]
[摘要]
目的 采用数据挖掘和网络药理学的研究方法,探析中医药治疗急性肺损伤(ALI) 的用药规律及作用 机制,为其治疗提供参考。方法 通过检索中国知网(CNKI)、万方数据(WanFang Data)、维普中文期刊 (VIP)、中国生物医学文献服务系统(SinoMed)数据库 2000 年 1 月至 2024 年 6 月发表文献中治疗急性肺损伤的 中药复方,采用中医传承辅助平台对其数据进行频数分析、关联规则分析和熵聚类方法分析,研究治疗急性肺 损伤的方药组方规律,并在此基础上采用网络药理学的研究方法,作韦恩图筛选核心药物治疗靶点与疾病靶点 的共同靶点,通过 Cytoscape 软件计算拓扑参数,筛选关键药物活性成分,构建 PPI 网络,筛选核心靶点,再 进行 GO 和 KEGG 富集分析,以阐明其作用机制。结果 通过数据挖掘分析,共纳入 62 篇文献,涉及 94 味中 药,频数最高的药物为石膏、苦杏仁、甘草、大黄等 9 味核心药物。药性以寒、温为主,归经以胃经、脾经、 肺经为主。关联规则和聚类分析揭示了核心药物组合及潜在新方剂。网络药理学分析筛选出 185 个活性成分、 208 个共同靶点及多条关键信号通路,包括 PI3K-Akt、MAPK 信号通路等。GO 分析显示核心靶点参与细胞黏 附、免疫反应等关键生物学过程。结论 临床上中医药治疗急性肺损伤药物的药性以寒、温为主,归经以胃 经、脾经、肺经为主,频数最高的药物为石膏、苦杏仁、甘草、大黄等 9 味核心药物,其可能通过 PI3K-Akt、 MAPK 等信号通路调控炎症和免疫反应治疗急性肺损伤。
[Key word]
[Abstract]
Objective To explore the medication patterns and mechanism of action of traditional Chinese medicine (TCM) in treating acute lung injury (ALI) using data mining and network pharmacology,providing references for its treatment. Methods Chinese medicine compound formulas for ALI treatment published between January 2000 and June 2024 were retrieved from CNKI,WanFang Data,VIP,and SinoMed databases. The TCM Inheritance Support Platform was utilized for frequency analysis,association rule analysis,and entropy clustering to study formula patterns. Based on these findings,network pharmacology methods were applied:Venn diagrams screened common targets between core drug therapeutic targets and disease targets;Cytoscape software calculated topological parameters to identify key active components;PPI networks were constructed to screen core targets;GO and KEGG enrichment analyses were performed to elucidate mechanisms. Results Data mining analyzed 62 articles involving 94 Chinese herbs, identifying 9 core herbs with the highest frequency:Gypsum Fibrosum,Armeniacae Semen Amarum,Glycyrrhizae Radix et Rhizoma, Rhei Radix et Rhizoma among others. Herb properties were primarily cold and warm,mainly attribute to the stomach, spleen,and lung meridians. Association rules and clustering analysis revealed core herb combinations and potential new formulas. Network pharmacology screened 185 active components, 208 common targets, and multiple key signaling pathways including PI3K-Akt and MAPK. GO analysis indicated core targets participate in critical biological processes such as cell adhesion and immune response. Conclusion Clinically,TCM treatment for ALI primarily utilizes herbs with cold and warm properties,mainly attribute to the stomach,spleen,and lung meridians,with Gypsum Fibrosum, Armeniacae Semen Amarum,Glycyrrhizae Radix et Rhizoma,Rhei Radix et Rhizoma among the 9 most frequent core herbs. These likely treat ALI by regulating inflammation and immune responses through PI3K-Akt,MAPK,and other signaling pathways.
[中图分类号]
R285.6
[基金项目]
广东省中医药局科研项目(20241029);上海中医药大学“十五五”规划前期研究项目(2025FG16);广州中医药大学第一附属医院 院内课题(2022A0283)。