基于网络药理学探讨玉蝴蝶祛斑膏治疗黄褐斑的作用机制

Mechanism of Yuhudie Macula-Removing in Treatment of Chloasma Based on Network Pharmacology

摘要: 目的：采用网络药理学的分析方法，探讨玉蝴蝶祛斑膏治疗黄褐斑疾病的作用机制。方法：通过TCMSP数据库收集玉蝴蝶祛斑膏潜在有效活性化合物，并通过Swiss Target Prediction数据库筛查其潜在有效活性化合物的人类潜在有效靶点蛋白；在DisGeNET、GeneCards、TTD等数据库筛查黄褐斑的疾病靶点蛋白；通过STRING数据库构建蛋白–蛋白互作网络数据，并利用Cytoscape软件进行可视化拓扑结构分析，将关键靶点蛋白通过DAVID数据库进行基因功能和通路富集分析。结果：筛选得到玉蝴蝶祛斑膏中潜在有效活性成分66个，所对应潜在靶点蛋白478个，与黄褐斑疾病相关疾病靶点蛋白120个。“成分–靶点”网络图提示槲皮素、黄芩素等是玉蝴蝶祛斑膏治疗黄褐斑疾病的关键成分。GO富集分析结果显示，共有225个条目与生物过程相关，共有40个条目与细胞组成相关，共有63个条目与分子功能相关；富集分析显示，参与治疗黄褐斑疾病的关键靶点蛋白主要与131条通路相关联，其主要涉及癌症通路、癌症蛋白聚糖通路等。其中癌症通路的P值最高。结论：文章利用网络药理学多成分、多靶点、多维度、多途径的分析方法，较为全面地阐明了玉蝴蝶祛斑膏治疗黄褐斑疾病的作用特点，初步揭示了玉蝴蝶祛斑膏治疗黄褐斑疾病的有效基础物质和作用机制，为后续研究提供思路与依据。

Abstract: Objective: To investigate the mechanism of Yuhudie Macula-removing in the treatment of chloasma by means of network pharmacological analysis. Methods: The potential active compounds of Yuhudie Macula-removing were collected by TCMSP database, and its human potential effective target protein of the potential active compounds was screened by Swiss Target Prediction database. The target proteins of chloasma were screened in DisGeNET, GeneCards, TTD and other databases. The protein-protein interaction network data was constructed by using STRING database, and the visual topological structure analysis was carried out by using Cytoscape software. The gene function and pathway enrichment of key target proteins were analyzed through the DAVID database. Results: 66 potential active ingredients, 478 potential target proteins and 120 target proteins related to chloasma disease were selected. The “component-target” network diagram indicates that quercetin and baicalein are the key components of Yuhudie Macula-removing in the treatment of chloasma disease. GO enrichment analysis showed that 225 items were related to biological processes, 40 items were related to cell composition, and 63 items were related to molecular function. Enrichment analysis showed that the key target proteins involved in the treatment of chloasma disease were mainly associated with 131 pathways, which mainly involved cancer pathways and cancer proteoglycan pathways. The cancer pathway has the highest P value. Conclusion: Using the multi-component, multi-target, multi-dimensional, multi-pathway analysis method of network pharmacology, this paper comprehensively elucidates the action characteristics of Yuhudie Macula-removing in the treatment of chloasma disease, and initially reveals the effective basic substances and mechanism of action of Yuhudie Macula-removing in the treatment of chloasma disease, providing ideas and basis for subsequent research.