| 基于网络药理学研究白芍治疗肝纤维化的作用机制 |
| 投稿时间：2022-08-08 修订日期：2022-11-14 点此下载全文 |
| 引用本文：黄晴,施春燕.基于网络药理学研究白芍治疗肝纤维化的作用机制[J].药学实践杂志,2023,41(8):485~491 |
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| 基金项目:教改专项-实践教学-中药方剂临床数据挖掘在镇痛组分中药研发中的应用(A3-0200-22-309009-208) |
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| 中文摘要:目的 基于网络药理学方法探讨白芍治疗肝纤维化的可能作用机制。方法 使用TCMSP数据库筛选出白芍的活性成分。借助PubChem和Swiss Target Prediction数据库预测白芍有效成分的潜在作用靶点。运用GeneCards及OMIM数据库筛选肝纤维化对应靶点，利用Venn2.1.0获得白芍与肝纤维化疾病的共同靶点。使用Cytoscape3.9.0软件构建“白芍-有效成分-交集靶点-肝纤维化”网络图，预测主要活性部位，使用String数据库绘制PPI网络。利用DAVID数据库对有效作用靶点进行GO分析及Pathway中的KEGG进行富集分析。结果 筛选得到白芍有效成分6个，作用靶点213个；肝纤维化靶点155个；白芍治疗肝纤维化的靶点49个；主要活性成分是山萘酚、芍药苷、白桦脂酸及β-谷甾醇。GO富集分析显示269个生物过程、30个细胞组成、64个分子功能，KEGG通路富集分析共67条通路。结论 通过网络药理学方法初步研究白芍抗肝纤维化的作用机制，表明白芍具有多成分、多通路、多靶点等的作用特点，为进一步相关实验研究提供参考。 |
| 中文关键词:白芍 肝纤维化 作用机制 网络药理学 |
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| Mechanism of Radix Paeoniae Alba in the treatment of liver fibrosis based on network pharmacology |
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| Abstract:Objective To explore the possible mechanism of Radix Paeoniae Alba on hepatic fibrosis based on network pharmacology. Methods Tcmsp database was used to screen the active components of Paeonia alba. With the help of PubChem and Swiss target prediction database, the potential action targets of the effective components of Paeonia Alba were predicted. GeneCards and OMIM databases were used to screen the corresponding targets of liver fibrosis, and venn2.1.0 was used to obtain the common targets of white peony and liver fibrosis. Cytoscape 3.9.0 software was used to build the network diagram of “white peony - active ingredients - intersection target - liver fibrosis” and to predict the main active sites. String database was used to draw the PPI network. Go analysis of effective targets and enrichment analysis of KEGG in pathway were performed by David database. Results Six effective components, 213 targets of Paeonia Alba and 155 hepatic fibrosis targets were screened. There were 49 targets of Radix Paeoniae Alba in the treatment of liver fibrosis. The main active ingredients are kaempferol, paeoniflorin, mairin and β-Sitosterol. Go enrichment analysis showed 269 biological processes, 30 cell compositions, 64 molecular functions, and 67 pathways in KEGG pathway enrichment analysis. Conclusion The mechanism of anti-hepatic fibrosis of Radix Paeoniae Alba has been preliminarily studied through network pharmacology, which shows that Radix Paeoniae Alba has multi-component, multi-target, and multi-channel effects, and provides reference for further experimental research. |
| keywords:Radix Paeoniae Alba Liver fibrosis Mechanism of action network pharmacology |
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