Mingxin Guo, Jiaqi Zeng, Sang Xu, Xia Wu, Zhiqiang Hu, Xuping Wang, Liangliang Wang
{"title":"应用LC-MS和网络药理学相结合的方法预测血府助瘀丸治疗术后认知功能障碍的质量指标","authors":"Mingxin Guo, Jiaqi Zeng, Sang Xu, Xia Wu, Zhiqiang Hu, Xuping Wang, Liangliang Wang","doi":"10.1002/bmc.70160","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The study aims to analyze the chemical constituents of Xuefu Zhuyu Wan (XZW) based on LC–MS and explore the mechanism of XZW in treating postoperative cognitive dysfunction (POCD) through network pharmacology and identify its potential quality marker (Q-marker). The chemical components of XZW were analyzed by LC–MS, and the corresponding targets were predicted by SwissTargetPrediction. Then POCD targets were obtained by GeneCards, OMIM, PharmGKB, and TTD database, and the “components-targets” and protein–protein interaction (PPI) maps were drawn by Cytoscape 3.9.1. The visualization of GO and KEGG enrichment analysis was obtained by micro-information. Finally, the content of network pharmacology prediction was preliminarily verified by molecular docking. Eighteen compounds were identified in XZW using LC–MS. SwissTargetPrediction predicted 443 compound targets. Among these, there are 352 common targets between the drug and the disease. Using Cytoscape 3.9.1, the main active components were screened as inophyllum E, liquiritigenin, pyrethrin, albiflorin, isoliquiritigenin, prunasin, meranzin, ligustilide, isoglycyrol, and dibutylphenol. PPI analysis identified the top 10 core proteins as: glyceraldehyde-phosphate dehydrogenase (GAPDH), protein kinase B (AKT1), tumor necrosis factor (TNF), src protein (SRC), epidermal growth factor receptor (EGFR), caspase 3 (CASP3), estrogen receptor (ESR1), prostaglandin peroxidase synthase 2 (PTGS2), matrix metalloenzyme 9 (MMP9), and transcription factor (JUN). KEGG enrichment analysis revealed 166 pathways, including the neuroactive ligand–receptor interaction pathway. Molecular docking shows that the active components have a good affinity with the core targets. It is predicted that liquiritigenin, isoglycyrol, inophyllum, and albiflorin could serve as Q-marker for XZW in the treatment of POCD. The chemical constituents of XZW were obtained by preliminary analysis, and the possible pharmacodynamic substances and their mechanism in treating POCD were discussed. The Q-marker of XZW in treating POCD was predicted, which provided basis for its clinical application and drug development.</p>\n </div>","PeriodicalId":8861,"journal":{"name":"Biomedical Chromatography","volume":"39 8","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting Quality Markers of Xuefu Zhuyu Wan for Postoperative Cognitive Dysfunction Using Integrated LC–MS Analysis and Network Pharmacology\",\"authors\":\"Mingxin Guo, Jiaqi Zeng, Sang Xu, Xia Wu, Zhiqiang Hu, Xuping Wang, Liangliang Wang\",\"doi\":\"10.1002/bmc.70160\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>The study aims to analyze the chemical constituents of Xuefu Zhuyu Wan (XZW) based on LC–MS and explore the mechanism of XZW in treating postoperative cognitive dysfunction (POCD) through network pharmacology and identify its potential quality marker (Q-marker). The chemical components of XZW were analyzed by LC–MS, and the corresponding targets were predicted by SwissTargetPrediction. Then POCD targets were obtained by GeneCards, OMIM, PharmGKB, and TTD database, and the “components-targets” and protein–protein interaction (PPI) maps were drawn by Cytoscape 3.9.1. The visualization of GO and KEGG enrichment analysis was obtained by micro-information. Finally, the content of network pharmacology prediction was preliminarily verified by molecular docking. Eighteen compounds were identified in XZW using LC–MS. SwissTargetPrediction predicted 443 compound targets. Among these, there are 352 common targets between the drug and the disease. Using Cytoscape 3.9.1, the main active components were screened as inophyllum E, liquiritigenin, pyrethrin, albiflorin, isoliquiritigenin, prunasin, meranzin, ligustilide, isoglycyrol, and dibutylphenol. PPI analysis identified the top 10 core proteins as: glyceraldehyde-phosphate dehydrogenase (GAPDH), protein kinase B (AKT1), tumor necrosis factor (TNF), src protein (SRC), epidermal growth factor receptor (EGFR), caspase 3 (CASP3), estrogen receptor (ESR1), prostaglandin peroxidase synthase 2 (PTGS2), matrix metalloenzyme 9 (MMP9), and transcription factor (JUN). KEGG enrichment analysis revealed 166 pathways, including the neuroactive ligand–receptor interaction pathway. Molecular docking shows that the active components have a good affinity with the core targets. It is predicted that liquiritigenin, isoglycyrol, inophyllum, and albiflorin could serve as Q-marker for XZW in the treatment of POCD. The chemical constituents of XZW were obtained by preliminary analysis, and the possible pharmacodynamic substances and their mechanism in treating POCD were discussed. 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Predicting Quality Markers of Xuefu Zhuyu Wan for Postoperative Cognitive Dysfunction Using Integrated LC–MS Analysis and Network Pharmacology
The study aims to analyze the chemical constituents of Xuefu Zhuyu Wan (XZW) based on LC–MS and explore the mechanism of XZW in treating postoperative cognitive dysfunction (POCD) through network pharmacology and identify its potential quality marker (Q-marker). The chemical components of XZW were analyzed by LC–MS, and the corresponding targets were predicted by SwissTargetPrediction. Then POCD targets were obtained by GeneCards, OMIM, PharmGKB, and TTD database, and the “components-targets” and protein–protein interaction (PPI) maps were drawn by Cytoscape 3.9.1. The visualization of GO and KEGG enrichment analysis was obtained by micro-information. Finally, the content of network pharmacology prediction was preliminarily verified by molecular docking. Eighteen compounds were identified in XZW using LC–MS. SwissTargetPrediction predicted 443 compound targets. Among these, there are 352 common targets between the drug and the disease. Using Cytoscape 3.9.1, the main active components were screened as inophyllum E, liquiritigenin, pyrethrin, albiflorin, isoliquiritigenin, prunasin, meranzin, ligustilide, isoglycyrol, and dibutylphenol. PPI analysis identified the top 10 core proteins as: glyceraldehyde-phosphate dehydrogenase (GAPDH), protein kinase B (AKT1), tumor necrosis factor (TNF), src protein (SRC), epidermal growth factor receptor (EGFR), caspase 3 (CASP3), estrogen receptor (ESR1), prostaglandin peroxidase synthase 2 (PTGS2), matrix metalloenzyme 9 (MMP9), and transcription factor (JUN). KEGG enrichment analysis revealed 166 pathways, including the neuroactive ligand–receptor interaction pathway. Molecular docking shows that the active components have a good affinity with the core targets. It is predicted that liquiritigenin, isoglycyrol, inophyllum, and albiflorin could serve as Q-marker for XZW in the treatment of POCD. The chemical constituents of XZW were obtained by preliminary analysis, and the possible pharmacodynamic substances and their mechanism in treating POCD were discussed. The Q-marker of XZW in treating POCD was predicted, which provided basis for its clinical application and drug development.
期刊介绍:
Biomedical Chromatography is devoted to the publication of original papers on the applications of chromatography and allied techniques in the biological and medical sciences. Research papers and review articles cover the methods and techniques relevant to the separation, identification and determination of substances in biochemistry, biotechnology, molecular biology, cell biology, clinical chemistry, pharmacology and related disciplines. These include the analysis of body fluids, cells and tissues, purification of biologically important compounds, pharmaco-kinetics and sequencing methods using HPLC, GC, HPLC-MS, TLC, paper chromatography, affinity chromatography, gel filtration, electrophoresis and related techniques.