国际医药卫生导报 ›› 2025, Vol. 31 ›› Issue (22): 3752-3760.DOI: 10.3760/cma.j.cn441417-20250605-22011

• 论著 • 上一篇    下一篇

基于网络药理学方法探讨白芍-半边莲抗结直肠癌的潜在机制

李静纯1  龙其雄2  孟萍1  陈圆1  何文熙1  孙伟1   

  1. 1广州市花都区人民医院中心实验室,广州 510800;2广州市花都区人民医院消化内科,广州 510800
  • 收稿日期:2025-06-05 出版日期:2025-11-01 发布日期:2025-11-19
  • 通讯作者: 孙伟,Email:sw3583425@163.com
  • 基金资助:
    广州市医学重点学科建设(2025-2027年)项目;广州市花都区医疗卫生一般科研专项项目(23-HDWS-010,23-HDWS-007);广西药物分子发现与成药性优化重点实验室开放课题(GKLDDO-2025-03)

Exploring potential mechanism of Paeonia-Lobelia in treatment of colorectal cancer based on the network pharmacology method

Li Jingchun1, Long Qixiong2, Meng Ping1, Chen Yuan1, He Wenxi1, Sun Wei1   

  1. 1 Department of Central Laboratory, Huadu District People's Hospital, Guangzhou 510800, China; 2 Department of Gastroenterology, Huadu District People's Hospital, Guangzhou 510800, China
  • Received:2025-06-05 Online:2025-11-01 Published:2025-11-19
  • Contact: Sun Wei, Email: sw3583425@163.com
  • Supported by:
    Guangzhou Medical Key Discipline Construction Project (2025-2027); Special Project of General Medical Research at Huadu District, Guangzhou (23-HDWS-010 and 23-HDWS-007); Open Project of Guangxi Key Laboratory of Drug Molecular Discovery and Drug Formulation Optimization (GKLDDO-2025-03)

摘要: 目的 基于网络药理学分析方法探讨白芍-半边莲抗结直肠癌的有效成分及分子机制。方法 截至2024年12月,运用中药药理学分析平台数据库(Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,TCMSP)检索白芍与半边莲的有效成分及作用的靶点。通过GeneCards、治疗目标数据库(Therapeutic Target Database,TTD)等筛选结直肠癌相关靶点。通过韦恩图获取药物作用疾病的潜在靶点。运用Cytoscape(Version 3.9.1)软件构建药物-成分-潜在靶点网络关系图。通过STRING数据库平台构建蛋白相互作用(PPI)网络图,筛选出核心基因;通过GEPIA和HPA数据库验证核心靶点的表达情况及生存分析;最后利用WebGestalt和Metascape数据库对潜在靶点进行基因本体(gene ontology,GO)和京都基因与基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)信号通路富集分析。结果 通过TCMSP筛选出白芍有效成分15种,半边莲有效成分17种,运用韦恩图获得白芍-半边莲与结直肠癌靶点交集,共19个潜在靶点。对药物-靶点网络关系图进一步计算分析获得白芍-半边莲抗结直肠癌5种关键成分:槲皮素、木犀草素、山奈酚、金合欢素和儿茶素。PPI网络图分析显示,筛选出可能是药物作用疾病的10个核心靶点:肿瘤蛋白P53(tumor protein P53,TP53)、MYC基因、AKT丝氨酸/苏氨酸激酶1(AKT serine/threonine kinase 1,AKT1)、半胱胺酸蛋白酶3(caspase 3,CASP3)、细胞周期素D1(cyclin D1,CCND1)、NF-kappa-B inhibitor alpha(NFKBIA)、基质金属蛋白酶9(matrix metallopeptidase 9,MMP9)、KB抑制蛋白激酶β(inhibitor of nuclear factor kappa-B kinase subunit beta,IKBKB)、环氧合酶2(prostaglandin-endoperoxide synthase 2,PTGS2)、热休克蛋白5[heat shock protein family A (Hsp70) member 5,HSPA5]。GO富集分析显示,白芍-半边莲主要与酶调节活性、抗氧化活性、细胞增殖等生物学功能相关;KEGG富集分析表明,白芍-半边莲抗结直肠癌主要信号通路涉及TNF信号通路、PI3K/AKT信号通路、FoxO信号通路等。结论 白芍-半边莲可能通过多种成分、多个靶点、多种途径发挥抗结直肠癌的作用。

关键词: 结直肠癌, 白芍, 半边莲, 信号通路

Abstract: Objective To explore the active ingredients and molecular mechanism of Paeonia-Lobelia against colorectal cancer based on network pharmacological analysis. Methods The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was used to search the active ingredients and targets of Paeonia and Lobelia until December 2024. The GeneCards, Therapeutic Target Database (TTD), and other databases were used to screen colorectal cancer related targets. The Cytoscape (Version 3.9.1) software was used to build a drug component potential target network diagram. A protein-protein interaction (PPI) network diagram was constructed using the STRING database platform to screen out the core genes. The expression and survival analysis of the core targets were validated using the GEPIA and HPA databases. Finally, the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analyses on the potential targets were performed using the WebGestalt and Metascape databases. Results Fifteen active ingredients of Paeonia and 17 active ingredients of Lobelia were screened through the TCMSP. The intersection of Paeonia and Lobelia with colorectal cancer targets was obtained using the Venn diagram, with a total of 19 potential targets. Further calculation and analysis of the drug target network relationship diagram resulted in the identification of five key components in the anti-colorectal cancer properties of Paeonia and Lobelia, including quercetin, luteolin, kaempferol, acacetin, and catechin. Through PPI network analysis, 10 core targets that may be drug-acting diseases were identified, including tumor protein P53 (TP53), MYC gene, AKT serine/threonine kinase 1 (AKT1), caspase 3 (CASP3), cyclin D1 (CCND1), NF-kappa-B inhibitor alpha (NFKBIA), matrix metallopeptidase 9 (MMP9), inhibitor of nuclear factor kappa-B kinase subunit beta (IKBKB)), prostaglandin-endoperoxide synthase 2 (PTGS2), and heat shock protein family A (Hsp70) member 5 (HSPA5). The GO enrichment analysis showed that Paeonia and Lobelia were mainly related to biological functions such as enzyme regulatory activity, antioxidant activity, and cell proliferation; the KEGG enrichment analysis showed that the main signaling pathways involved in the anti-colorectal cancer effect of Paeonia and Lobelia were the TNF signaling pathway, PI3K/AKT signaling pathway, FoxO signaling pathway, etc. Conclusion Paeonia and Lobelia may exert their anti-colorectal cancer effects through multiple ingredients, targets, and pathways.

Key words: Colorectal cancer, Paeonia, Lobelia, Signal pathways