基于网络药理学与分子对接的白茶抗炎肽挖掘及验证

Mining and validation of anti-inflammatory peptides from white tea based on network pharmacology and molecular docking

  • 摘要: 【目的】 通过网络药理学与分子对接技术从白茶寡肽中挖掘具有抗炎潜力的生物活性肽,并对其体外抗炎活性进行验证,探究白茶抗炎肽作用机制及通路,为白茶的高值化开发与利用提供理论基础。【方法】 基于超高效液相色谱—质谱联用技术构建白茶寡肽数据库,通过SEA Search Server数据库获取潜在活性肽作用靶点;借助Gene-Cards、OMIM、DisGeNET数据库获取炎症相关靶点;构建蛋白质—蛋白质相互作用(PPI)网络筛选出核心靶点;利用Metascape数据库对关键靶点进行KEGG信号通路富集分析;利用AutoDock 4.2.6进行分子对接验证;体外试验采用脂多糖诱导RAW264.7细胞炎症模型,检测一氧化氮(NO)、肿瘤坏死因子-α(TNF-α)和白细胞介素-1β(IL-1β)释放量;利用Western blotting检测PI3K/Akt/NF-κB信号通路关键蛋白磷酸化水平。【结果】 通过在线数据库获得潜在活性肽作用靶点350个,炎症相关靶点15404个,潜在活性肽—炎症疾病交集靶点317个。经网络药理学筛选获得4条关键抗炎肽(LFFPR、EECFGC、SDSETRFLR和LFHDLPPN)和3个核心靶点(MMP9、IL-1β和SRC)。分子对接显示LFFPR、EECFGC、SDSETRFLR和LFHDLPPN与核心靶点平均结合能分别为-7.3、-6.4、-7.8和-7.7 kcal/mol,均具有良好的结合能力。KEGG信号通路富集分析结果显示,PI3K-Akt信号通路和NF-κB信号通路为潜在抗炎通路。体外试验验证表明,4条关键抗炎肽对炎症介质(NO)、炎症因子(TNF-α、IL-1β)释放均有显著抑制作用(P<0.05,下同)。Western blotting检测结果显示,SDSETRFLR和LFHDLPPN可显著下调PI3K/Akt/NF-κB信号通路蛋白表达水平。【结论】 基于网络药理学与分子对接技术从白茶中挖掘出4条关键抗炎肽,其中SDSETRFLR和LFHDLPPN通过直接抑制炎症介质与炎症因子的分泌,以及阻断PI3K/Akt/NF-κB信号通路表达抑制炎症级联反应的双重机制发挥抗炎作用;白茶抗炎肽在预防炎症方面具有开发潜力。

     

    Abstract: 【Objective】 This study aimed to identify potential anti-inflammatory bioactive peptides from oligopeptide in white tea using network pharmacological and molecular docking approaches, validate their in vitro anti-inflammatory activity, and elucidate their underlying mechanisms and pathways, so as to provide a theoretical foundation for the high-value development and utilization of white tea.【Method】 A white tea oligopeptide database was established using ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS/MS), and otential bioactive peptide targets were identified via the SEA Search Server database. Inflammation-related targets were retrieved from the GeneCards, OMIM, and DisGeNET databases. A protein-protein interaction (PPI) network was established to screen core targets. KEGG signaling pathway enrichment analysis of key targets was performed using the Metascape database. Molecular docking validated was using AutoDock 4.2.6. For in vitro validation, a lipopolysaccharide was used to induce the RAW264.7 cellular inflammation model for determinating the releases of nitric oxide (NO), tumor necrosis factor-α (TNF-α), and interleukin-1β (IL-1β). Western blotting was used to analyze the phosphorylation levels of key proteins in the PI3K/Akt/NF-κB signaling pathway.【Result】 A total of 350 potential bioactive peptide targets and 15404 inflammation-related targets were identified, with 317 potential overlapping targets of bioactive peptides and inflammation-related diseases. Through network pharmacology screening, four key anti-inflammatory peptides (LFFPR, EECFGC, SDSETRFLR, and LFHDLPPN) and three core targets (MMP9, IL-1β, and SRC) were identified. Molecular docking revealed that LFFPR, EECFGC, SDSETRFLR, and LFHDLPPN had average binding energies of -7.3, -6.4, -7.8, and -7.7 kcal/mol, respectively, with the core targets, indicating strong binding affinities. KEGG signaling pathway enrichment analysis showed that the PI3K-Akt signaling pathway and the NF-κB signaling pathway were potential anti-inflammatory pathways. In vitro experiments showed that all four peptides significantly inhibited the release of nitric oxide (NO) and inflammatory factors (TNF-α, IL-1β) (P<0.05, the same below). Western blotting revealed that SDSETRFLR and LFHDLPPN significantly down-regulated protein expressions in the PI3K/Akt/NF-κB signaling pathway.【Conclusion】 Based on network pharmacological and molecular docking technologies, four key anti-inflammatory peptides are identified from white tea. Among them, SDSETRFLR and LFHDLPPN exert their anti-inflammatory effects through a dual mechanism: directly inhibiting the secretion of inflammatory mediators and cytokines, and suppressing the inflammatory cascade reaction by blocking the expression of PI3K/Akt1/NF-κB signaling pathway. Anti-inflammatory peptides in white tea is potential in preventing inflammation.

     

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