基于网络药理学研究滋阴明目方抑制激光诱发小鼠脉络膜新生血管的作用及机制

Study on the Effect and Mechanism of Ziyin Mingmu Formula in Inhibiting Laser-Induced Choroidal Neovascularization in Mice Based on Network Pharmacology

  • 摘要:
    目的 结合网络药理学和模型动物验证,研究滋阴明目方治疗年龄相关性黄斑变性(AMD)的作用及可能机制。
    方法 通过TCMSP、BATMAN数据库获取滋阴明目方的活性成分,PharmMapper数据库查询成分作用靶点; 通过GeneCards、DrugBank、OMIM和TTD数据库获得AMD疾病靶点; Venny分析得到活性成分和疾病的交集靶点; 采用String数据库构建蛋白-蛋白互作网络(PPI),使用Cytoscape3.9.0软件筛选核心靶点,通过DAVID数据库进行KEGG通路富集分析; 使用Autodock软件对关键活性成分与核心靶点进行分子对接验证。采用激光诱发小鼠脉络膜新生血管(CNV)模型,光学相干断层扫描血管成像仪(OCTA)评价活体CNV面积,免疫荧光染色评价脉络膜铺片CNV面积,Western blot检测血管内皮生长因子(VEGF)通路相关蛋白表达。
    结果 网络药理学分析得到滋阴明目方活性成分221个,PPI分析得到核心靶点SRC、蛋白激酶B(AKT1)、丝裂原活化蛋白激酶1(MAPK1)、热休克蛋白90α家族A类成员1(HSP90AA1)等29个,KEGG分析显示富集程度最高的是VEGF信号通路。分子对接结果显示,核心靶点SRC、AKT1、MAPK1、HSP90AA1与主要活性成分香叶木素、儿茶素、驴食草酚、甘草查尔酮A具有良好的结合性。动物实验结果显示,滋阴明目方能显著减少模型小鼠CNV面积,下调VEGF蛋白表达,降低VEGFR2、p38、ERK1/2蛋白磷酸化水平,抑制VEGF信号通路。
    结论 滋阴明目方可能通过调控VEGF信号通路抑制CNV形成。

     

    Abstract:
    OBJECTIVE To investigate the effect and potential mechanism of Ziyin Mingmu Formula in treating age-related macular degeneration (AMD) by combining network pharmacology with animal model validation.
    METHODS Active ingredients of Ziyin Mingmu Formula were obtained from the TCMSP and BATMAN databases, and their targets were searched using the PharmMapper database. AMD disease targets were identified using the GeneCards, DrugBank, OMIM, and TTD databases. Venny analysis was performed to identify the intersection of active ingredient and disease targets. A protein-protein interaction (PPI) network was constructed using the String database, and core targets were screened using Cytoscape 3.9.0 software. KEGG pathway enrichment analysis was performed using the DAVID database. Molecular docking of key active ingredients with core targets was performed using Autodock software. A laser-induced mouse choroidal neovascularization (CNV) model was used. Optical coherence tomography angiography (OCTA) was used to assess CNV area in vivo, immunofluorescence staining was used to assess CNV area on choroidal flat mounts, and Western blot analysis was used to examine the expression of proteins involved in the vascular endothelial growth factor (VEGF) pathway.
    RESULTS Network pharmacology analysis identified 221 active ingredients in the Ziyin Mingmu Formula. PPI analysis identified 29 core targets, including SRC, protein kinase B (AKT1), mitogen-activated protein kinase 1 (MAPK1), and heat shock protein 90α family class A member 1 (HSP90AA1). KEGG analysis revealed that the VEGF signaling pathway was the most highly enriched. Molecular docking revealed that the core targets SRC, AKT1, MAPK1, and HSP90AA1 had good binding affinity with the main active ingredients, diosmetin, catechin, vestitol, and licochalcone A. Animal experiments showed that the Ziyin Mingmu Formula significantly reduced CNV area in model mice, downregulated VEGF protein expression, decreased VEGFR2, p38, and ERK1/2 protein phosphorylation levels, and inhibited the VEGF signaling pathway.
    CONCLUSION Ziyin Mingmu Formula may inhibit CNV formation by regulating the VEGF signaling pathway.

     

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