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采用 UPLC-Orbitrap Fusion MS 结合网络药理学系统表征金水环仙颗粒的成分和分子机制。

Systematic characterization of the components and molecular mechanisms of Jinshui Huanxian granules using UPLC-Orbitrap Fusion MS integrated with network pharmacology.

机构信息

College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, Henan, China.

Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-Constructed by Henan Province & Education Ministry of P.R. China, Zhengzhou, Henan, China.

出版信息

Sci Rep. 2022 Jul 21;12(1):12476. doi: 10.1038/s41598-022-16711-4.

DOI:10.1038/s41598-022-16711-4
PMID:35864295
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9304367/
Abstract

Jinshui Huanxian granules (JSHX) is a clinical Chinese medicine formula used for treating pulmonary fibrosis (PF). However, the effective components and molecular mechanisms of JSHX are still unclear. In this study, a combination approach using ultra-high performance liquid chromatography-Orbitrap Fusion mass spectrometry (UPLC-Orbitrap Fusion MS) integrated with network pharmacology was followed to identify the components of JSHX and the underlying molecular mechanisms against PF. UPLC-Orbitrap Fusion MS was used to identify the components present in JSHX. On the basis of the identified components, we performed target prediction using the SwissTargetPrediction database, protein-protein interaction (PPI) analysis using STRING database, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis using Metascape and constructed a component-target-pathway network using Cytoscape 3.7.2. Molecular docking technology was used to verify the affinity between the core components and targets. Finally, the pharmacological activities of three potentially bioactive components were validated in transforming growth factor β1 (TGF-β1)-induced A549 cell fibrosis model. As a result, we identified 266 components, including 56 flavonoids, 52 saponins, 31 alkaloids, 10 coumarins, 12 terpenoids and 105 other components. Of these, 90 validated components were predicted to act on 172 PF-related targets and they exhibited therapeutic effects against PF via regulation of cell migration, regulation of the mitogen-activated protein kinase (MAPK) cascade, reduction of oxidative stress, and anti-inflammatory activity. Molecular docking showed that the core components could spontaneously bind to receptor proteins with a strong binding force. In vitro, compared to model group, hesperetin, ruscogenin and liquiritin significantly inhibited the increase of α-smooth muscle actin (α-SMA) and fibronectin (FN) and the decrease of e-cadherin (E-cad) in TGF-β1-induced A549 cells. This study is the first to show, using UPLC-Orbitrap Fusion MS combined with network pharmacology and experimental validation, that JSHX might exert therapeutic actions against PF by suppressing the expression of key factors in PF. The findings provide a deeper understanding of the chemical profiling and pharmacological activities of JSHX and a reference for further scientific research and clinical use of JSHX in PF treatment.

摘要

金水还肝颗粒(JSHX)是一种临床中药方剂,用于治疗肺纤维化(PF)。然而,JSHX 的有效成分和分子机制仍不清楚。在这项研究中,采用超高效液相色谱-轨道阱融合质谱(UPLC-Orbitrap Fusion MS)结合网络药理学的方法,鉴定 JSHX 的成分及其治疗 PF 的潜在分子机制。采用 UPLC-Orbitrap Fusion MS 鉴定 JSHX 中的成分。基于鉴定的成分,我们使用 SwissTargetPrediction 数据库进行靶标预测,使用 STRING 数据库进行蛋白质-蛋白质相互作用(PPI)分析,使用 Metascape 进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析,并使用 Cytoscape 3.7.2 构建成分-靶标-通路网络。采用分子对接技术验证核心成分与靶标之间的亲和力。最后,在 TGF-β1 诱导的 A549 细胞纤维化模型中验证了三种潜在生物活性成分的药理学活性。结果,我们鉴定了 266 种成分,包括 56 种黄酮类化合物、52 种皂苷、31 种生物碱、10 种香豆素、12 种萜类化合物和 105 种其他成分。其中,90 种经验证的成分被预测作用于 172 个 PF 相关靶标,并通过调节细胞迁移、调节丝裂原活化蛋白激酶(MAPK)级联、减轻氧化应激和抗炎活性来发挥治疗 PF 的作用。分子对接显示,核心成分可以自发地与受体蛋白结合,具有很强的结合力。在体外,与模型组相比,橙皮苷、鲁斯可苷元和甘草素显著抑制 TGF-β1 诱导的 A549 细胞中α-平滑肌肌动蛋白(α-SMA)和纤维连接蛋白(FN)的增加以及 E-钙黏蛋白(E-cad)的减少。本研究首次采用 UPLC-Orbitrap Fusion MS 结合网络药理学和实验验证的方法,表明 JSHX 可能通过抑制 PF 中关键因子的表达发挥治疗 PF 的作用。研究结果为深入了解 JSHX 的化学成分和药理学活性提供了依据,为 JSHX 在 PF 治疗中的进一步科学研究和临床应用提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/dbd839771eea/41598_2022_16711_Fig12_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/b5d70355d1da/41598_2022_16711_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/8e3e765fde9f/41598_2022_16711_Fig3a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/0afc547d5d55/41598_2022_16711_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/3498854bc968/41598_2022_16711_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/16e90c8463ad/41598_2022_16711_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/a685b6fa66c3/41598_2022_16711_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/79258aebfa79/41598_2022_16711_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/b8a3c734b3d5/41598_2022_16711_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/28a4866bfb38/41598_2022_16711_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/3d8950034886/41598_2022_16711_Fig11a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fc/9304367/dbd839771eea/41598_2022_16711_Fig12_HTML.jpg

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