Shuang Wei , Xueting Li , Xinyu Li, Rui Wang, Yuming Wang, Yubo Li
{"title":"采用分子对接、网络药理学、UPLC-Q-TOF-MS等综合方法研究小青龙汤抗哮喘的化学成分及作用机制","authors":"Shuang Wei , Xueting Li , Xinyu Li, Rui Wang, Yuming Wang, Yubo Li","doi":"10.1016/j.jchromb.2025.124490","DOIUrl":null,"url":null,"abstract":"<div><div>Objective: This study aims to investigate the potential mechanisms by which Xiaoqinglong decoction (XQLD) exerts its therapeutic effects on asthma. This will be achieved through the application of the UPLC-Q-TOF-MS coupling technique, integrated with network pharmacology and molecular docking methodologies. Methods: The UPLC-Q-TOF-MS technique was employed to perform a qualitative analysis of both the aqueous extract of XQLD and the drug-containing serum. The Swiss TargetPrediction, OMIM, and GeneCards databases were utilized to identify blood-derived components and disease-associated targets. Subsequently, a protein-protein interaction (PPI) network was constructed by intersecting these datasets to identify key targets, which were then subjected to Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Cytoscape software facilitated the construction of a ‘drug-component-disease-target’ network to enable visualization and analysis, thereby aiding in the prediction of targets and signaling pathways of XQLD in the treatment of asthma. Finally, molecular docking of the pertinent incoming components to the central target was conducted utilizing AutoDock Vina and PyMol software. Results: A comprehensive analysis identified 102 components within the aqueous extract of XQLD, alongside 93 components in the drug-containing serum. Additionally, 90 compound-disease shared targets and 45 key targets were identified through PPI network analysis. Notably, compounds such as apigenin, l-asarinin, 6-shogaol, ellagic acid, kaempferol, and naringenin are pivotal in mediating the therapeutic effects of XQLD in asthma treatment. The primary molecular targets of XQLD for asthma include SRC, AKT1, EGFR, ESR1, HIF1A, and PIK3CA. The results of the molecular docking analysis indicated that the binding energies between the core target and the active ingredient were ≤ −5.5 kcal/mol, demonstrating a strong affinity. Conclusion: This study elucidated the chemical composition, potential targets, and action pathways of the aqueous extract of XQLD and its drug-containing serum. It preliminarily identified the material basis and mechanism of action, thereby providing a foundation for further in-depth research into the mechanisms underlying XQLD and its clinical applications.</div></div>","PeriodicalId":348,"journal":{"name":"Journal of Chromatography B","volume":"1254 ","pages":"Article 124490"},"PeriodicalIF":2.8000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An integrated approach using molecular docking, network pharmacology, and UPLC-Q-TOF-MS analysis to investigate the chemical makeup and mechanism of Xiaoqinglong decoction against asthma\",\"authors\":\"Shuang Wei , Xueting Li , Xinyu Li, Rui Wang, Yuming Wang, Yubo Li\",\"doi\":\"10.1016/j.jchromb.2025.124490\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Objective: This study aims to investigate the potential mechanisms by which Xiaoqinglong decoction (XQLD) exerts its therapeutic effects on asthma. This will be achieved through the application of the UPLC-Q-TOF-MS coupling technique, integrated with network pharmacology and molecular docking methodologies. Methods: The UPLC-Q-TOF-MS technique was employed to perform a qualitative analysis of both the aqueous extract of XQLD and the drug-containing serum. The Swiss TargetPrediction, OMIM, and GeneCards databases were utilized to identify blood-derived components and disease-associated targets. Subsequently, a protein-protein interaction (PPI) network was constructed by intersecting these datasets to identify key targets, which were then subjected to Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Cytoscape software facilitated the construction of a ‘drug-component-disease-target’ network to enable visualization and analysis, thereby aiding in the prediction of targets and signaling pathways of XQLD in the treatment of asthma. Finally, molecular docking of the pertinent incoming components to the central target was conducted utilizing AutoDock Vina and PyMol software. Results: A comprehensive analysis identified 102 components within the aqueous extract of XQLD, alongside 93 components in the drug-containing serum. Additionally, 90 compound-disease shared targets and 45 key targets were identified through PPI network analysis. Notably, compounds such as apigenin, l-asarinin, 6-shogaol, ellagic acid, kaempferol, and naringenin are pivotal in mediating the therapeutic effects of XQLD in asthma treatment. The primary molecular targets of XQLD for asthma include SRC, AKT1, EGFR, ESR1, HIF1A, and PIK3CA. The results of the molecular docking analysis indicated that the binding energies between the core target and the active ingredient were ≤ −5.5 kcal/mol, demonstrating a strong affinity. Conclusion: This study elucidated the chemical composition, potential targets, and action pathways of the aqueous extract of XQLD and its drug-containing serum. It preliminarily identified the material basis and mechanism of action, thereby providing a foundation for further in-depth research into the mechanisms underlying XQLD and its clinical applications.</div></div>\",\"PeriodicalId\":348,\"journal\":{\"name\":\"Journal of Chromatography B\",\"volume\":\"1254 \",\"pages\":\"Article 124490\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Chromatography B\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S157002322500042X\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/31 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chromatography B","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S157002322500042X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/31 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
An integrated approach using molecular docking, network pharmacology, and UPLC-Q-TOF-MS analysis to investigate the chemical makeup and mechanism of Xiaoqinglong decoction against asthma
Objective: This study aims to investigate the potential mechanisms by which Xiaoqinglong decoction (XQLD) exerts its therapeutic effects on asthma. This will be achieved through the application of the UPLC-Q-TOF-MS coupling technique, integrated with network pharmacology and molecular docking methodologies. Methods: The UPLC-Q-TOF-MS technique was employed to perform a qualitative analysis of both the aqueous extract of XQLD and the drug-containing serum. The Swiss TargetPrediction, OMIM, and GeneCards databases were utilized to identify blood-derived components and disease-associated targets. Subsequently, a protein-protein interaction (PPI) network was constructed by intersecting these datasets to identify key targets, which were then subjected to Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Cytoscape software facilitated the construction of a ‘drug-component-disease-target’ network to enable visualization and analysis, thereby aiding in the prediction of targets and signaling pathways of XQLD in the treatment of asthma. Finally, molecular docking of the pertinent incoming components to the central target was conducted utilizing AutoDock Vina and PyMol software. Results: A comprehensive analysis identified 102 components within the aqueous extract of XQLD, alongside 93 components in the drug-containing serum. Additionally, 90 compound-disease shared targets and 45 key targets were identified through PPI network analysis. Notably, compounds such as apigenin, l-asarinin, 6-shogaol, ellagic acid, kaempferol, and naringenin are pivotal in mediating the therapeutic effects of XQLD in asthma treatment. The primary molecular targets of XQLD for asthma include SRC, AKT1, EGFR, ESR1, HIF1A, and PIK3CA. The results of the molecular docking analysis indicated that the binding energies between the core target and the active ingredient were ≤ −5.5 kcal/mol, demonstrating a strong affinity. Conclusion: This study elucidated the chemical composition, potential targets, and action pathways of the aqueous extract of XQLD and its drug-containing serum. It preliminarily identified the material basis and mechanism of action, thereby providing a foundation for further in-depth research into the mechanisms underlying XQLD and its clinical applications.
期刊介绍:
The Journal of Chromatography B publishes papers on developments in separation science relevant to biology and biomedical research including both fundamental advances and applications. Analytical techniques which may be considered include the various facets of chromatography, electrophoresis and related methods, affinity and immunoaffinity-based methodologies, hyphenated and other multi-dimensional techniques, and microanalytical approaches. The journal also considers articles reporting developments in sample preparation, detection techniques including mass spectrometry, and data handling and analysis.
Developments related to preparative separations for the isolation and purification of components of biological systems may be published, including chromatographic and electrophoretic methods, affinity separations, field flow fractionation and other preparative approaches.
Applications to the analysis of biological systems and samples will be considered when the analytical science contains a significant element of novelty, e.g. a new approach to the separation of a compound, novel combination of analytical techniques, or significantly improved analytical performance.