基于UPLC-QE-Orbitrap-MS结合网络药理学探究赤苍藤抗痛风的作用机制

Probing the mechanism of anti-gout action of Erythropalum scandens Bl. based on UPLC-QE-Orbitrap-MS combined with network pharmacology

  • 摘要:
    目的 基于超高效液相色谱—四极杆—静电场轨道阱高分辨质谱法(UPLC-QE-Orbitrap-MS),结合网络药理学、分子对接技术和实验验证,探究赤苍藤治疗痛风的潜在作用机制及靶点。
    方法 采用UPLC-QE-Orbitrap-MS分析,利用在线数据库SwissTargetPrediction获取活性成分靶点,通过GeneCards数据库筛选出痛风相关的疾病靶点。运用String数据库和Cytoscape3.7.2软件构建蛋白质互相作用(PPI)网络图及“活性成分—靶点—信号通路”可视化调控网络图。借助David数据库和微生信—在线生物信息学分析、可视化云平台对共同靶点进行GO分析和KEGG通路富集分析。运用AutoDockTools 1.5.6软件,对核心靶点及其对应化合物进行分子对接验证,并通过动物实验对预测结果进行验证。
    结果 UPLC-QE-Orbitrap-MS分析显示,从赤苍藤中鉴定出75个成分,其中69个成分为赤苍藤中首次报道,其主要成分类别包括脂肪酰类、萜类、糖及糖苷类、苯丙素类、有机酸及其衍生物、氨基酸及其衍生物、核苷酸及其衍生物、酚类等。从数据库筛选出806个活性成分靶点及2 358个疾病靶点交集,得到270个药物—疾病交集靶点。PPI网络图显示,STAT3、SRC、TP53、EGFR、AKT1、TNF、HSP90AA1、JUN、ERB2等为关键靶点;GO分析及KEGG分析预测结果显示,赤苍藤的抗痛风作用可能与PI3K/AKT、细胞凋亡、代谢抗炎等相关信号通路等有关。10个核心靶点及其对应化合物进行分子对接结果显示,蛋白对接具有较好的结合能力。体内实验显示,赤苍藤水提物能调节尿酸性肾病小鼠血清尿酸、肌酐、尿素氮和24 h尿蛋白水平,改善小鼠肾脏组织损伤及细胞凋亡情况,调节小鼠PI3K/AKT通路中的核心蛋白。
    结论 赤苍藤药材蕴含丰富的化学成分,其可能通过STAT3等关键靶点及PI3K/AKT等信号通路发挥抗痛风作用;赤苍藤水提物可改善尿酸性肾病小鼠肾脏损伤。

     

    Abstract:
    Objective To investigate the potential gout treatment mechanisms and targets of Erythropalum scandens Bl. through network pharmacology and molecular docking techniques and experimental validatio based on ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry (UPLC-QE-Orbitrap-MS).
    Methods The constituents of Erythropalum scandens Bl. were analysed by UPLC-QE-Orbitrap-MS, and the targets of the active ingredients were obtained using the online database SwissTargetPrediction, and the targets of gout-related diseases were screened out by GeneCards database. The String database and Cytoscape 3.7.2 software were used to construct the protein-protein interaction (PPI) network diagram and the active ingredient-target-pathway visualization and regulation network. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the common targets using the DAVID database and the Weishengxin-Online Bioinformatics Analysis, as well as Visualization Cloud Platform. The AutoDock Tools 1.5.6 software was used to validate the molecular docking of the core targets and their corresponding compounds, and the predicted results were verified by animal experiments.
    Results UPLC-QE-Orbitrap-MS analysis showed that 75 components were identified from Erythropalum scandens Bl., among which 69 components were reported for the first time in Erythropalum scandens Bl. The main categories of these components included fatty acyls, terpenoids, sugars and glycosides, phenylpropanoids, organic acids and their derivatives, amino acids and their derivatives, nucleotides and their derivatives, and phenols, etc. From the database, 806 active ingredient targets and 2, 358 disease targets were screened, resulting in 270 drug-disease intersection targets. and the PPI network diagram showed that STAT3, SRC, TP53, EGFR, AKT1, TNF, HSP90AA1, JUN and ERB2, etc., were the key targets. The results of the GO and KEGG enrichment analyses showed that the anti-gout effects of Erythropalum scandens Bl. might be related to PI3K/AKT, apoptosis, metabolic anti-inflammatory and other related signaling pathways. The molecular docking results of 10 core targets and their corresponding compounds showed that the docked proteins had a better binding energy. In vivo experiments confirmed that the aqueous extract of Erythropalum scandens Bl. could regulate serum uric acid (UA), creatinine (Cr), blood urea nitrogen (BUN), and 24-hour urinary protein levels in mice with uric acid nephropathy. Additionally, it ameliorated renal tissue damage and apoptosis while modulating key proteins in the PI3K/AKT signaling pathway of mice.
    Conclusion Erythropalum scandens Bl. contains abundant chemical components, which may exert anti-gout effects through key targets such as STAT3 and signaling pathways such as PI3K/AKT. Additionally, the aqueous extract of Erythropalum scandens Bl. can alleviate renal damage in mice with urate nephropathy.

     

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