[1]杨若青,刘艳宏,王 琳,等.基于网络药理学探讨黄芩治疗肺癌的有效成分和作用机制[J].医学信息,2025,38(07):18-24.[doi:10.3969/j.issn.1006-1959.2025.07.003]
　YANG Ruoqing,LIU Yanhong,WANG Lin,et al.The Effective Components and Mechanism of Radix Scutellariae in the Treatment of Lung Cancer Based on Network Pharmacology[J].Journal of Medical Information,2025,38(07):18-24.[doi:10.3969/j.issn.1006-1959.2025.07.003]
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基于网络药理学探讨黄芩治疗肺癌的有效成分和作用机制()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
38卷
期数:
2025年07期
页码:
18-24
栏目:
中医药信息学
出版日期:
2025-04-01

文章信息/Info

Title:
The Effective Components and Mechanism of Radix Scutellariae in the Treatment of Lung Cancer Based on Network Pharmacology
文章编号:
1006-1959（2025）07-0018-07
作者:
杨若青1; 2; 刘艳宏1; 王 琳1; 胡静池1; 谭 辉1; 2
1.重庆三峡医药高等专科学校基础医学部，重庆 404120；2.三峡库区道地药材开发利用重庆市重点实验室，重庆 404120
Author(s):
YANG Ruoqing1; 2 ;  LIU Yanhong1;  WANG Lin1;  HU Jingchi1;  TAN Hui1; 2
1.Department of Basic Medicine, Chongqing Three Gorges Medical College, Chongqing 404120, China;2.Chongqing Key Laboratory of Development and Utilization of Genuine Medicinal Materials in Three Gorges Reservoir Area, Chongqing 404120, China
关键词:
网络药理学; 黄芩; 肺癌; 活性成分
Keywords:
Network pharmacology;  Radix scutellariae;  Lung cancer;  Active component
分类号:
R285.5
DOI:
10.3969/j.issn.1006-1959.2025.07.003
文献标志码:
A
摘要:
目的 基于网络药理学分析黄芩治疗肺癌的潜在靶点和作用机制。方法 通过TCMSP获取中药黄芩的活性成分和靶点基因，通过GeneCards、OMIM数据库获取肺癌相关基因，取二者交集基因。使用String数据库获得交集基因的PPI网络图，使用R软件clusterProfiler包对关键靶基因进行GO分析和KEGG富集分析。结果 共获得黄芩36个化合物成分、341个化合物靶点，2487个肺癌相关靶基因。PPI蛋白互作网络共有节点55个，关键节点8个。GO功能富集分析得到93条生物过程，KEGG 通路富集分析得到137条信号通路。获得汉黄芩素、黄芩素、刺槐素、β-谷甾醇等主要活性成分，作用主要核心靶点包括AKT1、IL6、HIF1A、JUN、CCND1、ESR1、PTGS2、VEGFA等；关键信号通路主要包括AGE-RAGE、IL-17、细胞凋亡、小细胞肺癌、p53等信号通路。结论 黄芩中的主要活性成分汉黄芩素、黄芩素、刺槐素、β-谷甾醇等可能通过AGE-RAGE、IL-17、细胞凋亡、小细胞肺癌、p53等信号通路作用于AKT1、IL6、HIF1A、JUN、CCND1、ESR1、PTGS2、VEGFA等靶点，进而发挥黄芩抗肺癌的作用，其呈现多组分、多靶点、多通路的特点。
Abstract:
Objective To analyze the potential targets and mechanism of radix scutellariae in the treatment of lung cancer based on network pharmacology. Methods The active components and target genes of radix scutellariae were obtained by TCMSP, and the lung cancer-related genes were obtained by GeneCards and OMIM databases, and the intersection genes of the two were taken. The PPI network diagram of the intersection genes was obtained using the String database, and the GO analysis and KEGG enrichment analysis of the key target genes were performed using the R software clusterProfiler package. Results A total of 36 compounds, 341 compound targets and 2487 lung cancer-related target genes were obtained. There were 55 nodes and 8 key nodes in PPI protein interaction network. GO functional enrichment analysis obtained 93 biological processes, and KEGG pathway enrichment analysis obtained 137 signaling pathways. The main active components such as wogonin, baicalein, acacetin and β-sitosterol were obtained. The main core targets included AKT1, IL6, HIF1 A, JUN, CCND1, ESR1, PTGS2, VEGFA, etc. Key signaling pathways mainly include AGE-RAGE, IL-17, apoptosis, small cell lung cancer, p53 and other signaling pathways. Conclusion The main active ingredients in radix scutellariae, such as wogonin, baicalein, acacetin and β-sitosterol, may act on AKT1, IL6, HIF1 A, JUN, CCND1, ESR1, PTGS2, VEGFA and other targets through AGE-RAGE, IL-17, apoptosis, small cell lung cancer, p53 and other signaling pathways, and then play the role of radix scutellariae in anti-lung cancer, showing the characteristics of multi-component, multi-target and multi-pathway.

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更新日期/Last Update: 1900-01-01