| 基于网络药理学探明八宝丹治疗原发性肝癌的潜在机制研究 |
| 投稿时间：2024-01-26 修订日期：2024-03-18 点此下载全文 |
| 引用本文：朱鑫宇,白浩然,赵娜萍,戚大川,卫立辛,张黎.基于网络药理学探明八宝丹治疗原发性肝癌的潜在机制研究[J].药学实践杂志,2024,42(4):157~164 |
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| 基金项目:国家自然科学基金（82173276，82073032, 82073037, 82203237）；上海市卫生健康委员会基金（20214Y0013） |
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| 中文摘要:目的 基于网络药理学探讨八宝丹对原发性肝癌（HCC）影响的潜在机制。方法 首先利用二乙基亚硝胺诱导的原发性HCC大模型，观察八宝丹对HCC的影响；然后利用超高效液相色谱-串联质谱法（UPLC-MS）检测八宝丹中的有效成分，再在Swiss Target Prediction数据库等预测八宝丹有效成分的潜在作用靶点。运用GeneCards、OMIM和Therapeutic Target Database筛选HCC对应靶点，取交集后获得八宝丹与HCC的共同靶点。使用Cytoscape软件和STRING数据库绘制蛋白与蛋白间互作网络，筛选出八宝丹调控HCC的关键分子。利用DAVID数据库对有效作用靶点进行GO及KEGG富集分析。最后在TCGA数据库验证关键分子与HCC患者的临床相关性。结果 八宝丹可延缓HCC大鼠肿瘤进展。UPLC-MS检测出八宝丹中化学成分851个，主要活性成分9个，作用靶点285个；筛选出HCC靶点637个，八宝丹调控HCC的靶点16个。GO富集分析显示802个生物过程、11个细胞组成、43个分子功能，KEGG通路共90条。TCGA相关性分析发现3个关键分子与HCC患者生存期相关。结论 通过HCC大鼠模型发现，八宝丹可显著延长HCC大鼠的生存周期并减少肿瘤负荷，通过UPLC-MS及网络药理学方法初步预测八宝丹调控HCC的作用机制，表明八宝丹具有多成分、多通路、多靶点作用原发性HCC的特点，为进一步相关实验研究提供参考。 |
| 中文关键词:原发性肝癌 八宝丹 网络药理学 超高效液相色谱-串联质谱 作用机制 |
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| Potential mechanism of Babao Dan in the treatment of hepatocellular carcinoma based on network pharmacology |
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| Abstract:Objective To explore the potential mechanism of Babao Dan on primary liver cancer based on network pharmacology. Methods First, the diethylnitrosamine-induced hepatocellular carcinoma rat（HCC）model was used to observe the effects of Babao Dan. Then, the effective components in Babao Dan were detected by UPLC-MS, and the potential target sites of these effective components were predicted in the Swiss Target Prediction databases, etc. The corresponding target sites for HCC were screened using GeneCards, OMIM and Therapeutic Target Database, and the common target sites between Babao Dan and HCC were obtained after getting the intersection. The protein-protein interaction network was drawn by Cytoscape software and the STRING database, and the key molecules regulating HCC by Babao Dan were screened out. The effective target sites were subjected to GO analysis in the DAVID database and enrichment analysis in the Pathway’s KEGG. Finally, the clinical relevance of key molecules to liver cancer patients was verified by the TCGA database. Results Babao Dan could slow down the tumor development. 851 chemical components were detected in BaBao Dan by UPLC-MS , 9 major active components and 285 target sites were identified. 637 hepatocellular carcinoma-related targets were screened out, and 16 targets of Babao Dan regulating HCC were identified. GO enrichment analysis showed 802 biological processes, 11 cell compositions, and 43 molecular functions, while KEGG pathway enrichment analysis identified a total of 90 pathways. Correlation analysis of TCGA identified three key molecules associated with the survival of liver cancer patients. Conclusion In the primary rat liver cancer model, Babao Dan was found to significantly prolong the survival of cancer-induced rats and reduce tumor burden. The initial prediction of the mechanism by which Babao Dan regulating liver cancer was made through UPLC-MS analysis and network pharmacology methods, indicating that Babao Dan has the characteristics of multi-component, multi-pathway, and multi-target regulation of primary liver cancer, which could provide a reference for further relevant experimental research. |
| keywords:hepatocellular carcinoma Babao Dan network pharmacology UPLC-MS mechanism of action |
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