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

• Published in: Scientific reports 2022-07, Vol.12 (1), p.12476-12476, Article 12476
• Main Authors: Yuan, Jie, Zhao, Di, Liu, Xue-Fang, Tian, Yan-Ge, Zhang, Hao-Jie, Feng, Su-Xiang, Li, Jian-Sheng
• Format: Article
• Language: English
• Subjects: 631/449; 692/308; 692/420; 692/699; Actin; Anti-inflammatory agents; Cell migration; E-cadherin; Fibronectin; Fibrosis; Flavonoids; Genomes; Herbal medicine; Hesperidin; High-performance liquid chromatography; Humanities and Social Sciences; Inflammation; Kinases; Liquid chromatography; Lung diseases; MAP kinase; Mass spectrometry; Mass spectroscopy; Molecular modelling; multidisciplinary; Oxidative stress; Pharmacology; Protein kinase; Proteins; Saponins; Science; Science (multidisciplinary); Smooth muscle; Transforming growth factor-b1
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-022-16711-4

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.