基于网络药理学探讨鱼腥草治疗急性肺损伤的作用机制

Exploring the Mechanism of Houttuynia cordata in Treating Acute Lung Injury Based on Network Pharmacology

摘要: 目的：利用网络药理学去探究鱼腥草治疗急性肺损伤的作用机制。方法：首先，通过TCMSP、Swisws Target Prediction数据库查找鱼腥草的有效成分，并利用Uniport数据库将有效成分转化为基因靶点；然后通过GeneCards、OMIM、DisGeNET数据库获取急性肺损伤疾病的靶点，再将两者基因相交，筛选得到共同的基因靶点，并用Venny绘图，再使用Cytoscape去构建中药–疾病–成分–靶点的网络图，并从STRING数据库分析并筛选获得相同靶点蛋白–蛋白相互作用(PPI)网络图，利用Cytoscape软件分析绘制PPI网络图，运用cytoHubba的Degree算法，筛选关键基因靶点，建立关键基因靶点的网络模型。同时，使用微生信在线平台去进行富集分析，分析潜在靶点的基因功能以及信号通路，从而从系统生物学整体水平揭示鱼腥草潜在有效成分和作用机制。结果：结果分为三部分：成分、靶点和途径。在成分方面，发现鱼腥草的5种活性成分，其中槲皮素、山奈酚是主要活性成分。共发现132个靶点，其中128个主要靶点和ALI共同拥有。此外，鱼腥草治疗ALI的主要通路是Pathways in cancer信号通路、Lipid and atherosclerosis信号通路、AGE-RAGE信号通路等。结论：由于鱼腥草的多组分、多靶点和多通道功能，本研究通过网络药理学初步揭示了鱼腥草治疗ALI的潜在调节网络。为合理开发利用鱼腥草植物资源、保护和发展民族医药文化提供研究依据。

Abstract: Objective: To explore the mechanism of Houttuynia cordata in treating acute lung injury using network pharmacology. Method: Firstly, search for the active ingredients of Houttuynia cordata using TCMSP and Swisws Target Prediction databases, and convert the active ingredients into gene targets using the Uniport database; Then, the targets of acute lung injury disease were obtained through GeneCards, OMIM, and DisGeNET databases. The two genes were intersected and screened to obtain common gene targets. Venny was used to draw the graph, and Cytoscape was used to construct the network diagram of traditional Chinese medicine disease component target. The protein protein interaction (PPI) network diagram of the same target was analyzed and screened from the STRING database. Cytoscape software was used to analyze and draw the PPI network diagram. CytoHubba’s Degree algorithm was used to screen key gene targets and establish the network model of key gene targets. At the same time, the online platform of Weishengxin is used for enrichment analysis, analyzing the gene functions and signaling pathways of potential targets, in order to reveal the potential effective ingredients and mechanisms of action of Houttuynia cordata from the perspective of systems biology as a whole. Result: The results are divided into three parts: components, targets, and pathways. In terms of ingredients, five active ingredients were found in Houttuynia cordata, among which quercetin and kaempferol are the main active ingredients. A total of 132 targets were discovered, of which 128 major targets are shared with ALI. In addition, the main pathways through which Houttuynia cordata treats ALI are the Pathways in Cancer signaling pathway, Lipid and Atherosclerosis signaling pathway, AGE-RAGE signaling pathway, etc. Conclusion: Due to the multi-component, multi-target, and multi-channel functions of Houttuynia cordata, this study preliminarily revealed the potential regulatory network of Houttuynia cordata in treating ALI through network pharmacology. To provide research basis for the rational development and utilization of Houttuynia cordata plant resources, as well as the protection and development of ethnic medical culture.