中国现代中药2025，Vol.27Issue(10)：1929-1937,9.DOI:10.13313/j.issn.1673-4890.20250227003
芩贝止咳颗粒中质量标志物预测
Quality Marker Prediction for Qinbei Zhike Granules
摘要
Abstract
Objective:To predict and analyze the quality markers(Q-markers)of Qinbei Zhike granules using combination of traditional Chinese medicine(TCM)serum pharmacochemistry and network pharmacology.Methods:Ultra-high-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)was used to analyze the plasma samples from rats administered Qinbei Zhike granules and from a control group.Network pharmacology was applied to identify constituents absorbed into blood,screen core components and targets,and analyze the mechanism of Qinbei Zhike granules in treating cough,thereby predicting potential Q-markers.Results:A total of 2 159 compounds were identified in the granule test solution,and 326 constituents absorbed into blood were detected in the serum.Then,network pharmacology analysis identified 27 core components,35 core targets,and 148 drug-disease co-targets.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses were performed on the co-targets using the DAVID database,leading to the identification of the main functional pathways involved in the prevention and treatment of cough,including cancer pathways,lipid and atherosclerosis pathways,and prostate cancer pathways.Conclusion:Comprehensive analysis identified the following components as meeting the five fundamental principles for Q-markers:apigenin,wogonin,baicalin,isoliquiritigenin,licochalcone A,oroxylin A,licochalcone B,norwogonin,and hyperoside.They can be the Q-markers for Qinbei Zhike granules,providing a reference for quality evaluation standards.关键词
质量标志物/网络药理学/血清化学/超高效液相色谱-质谱法Key words
quality marker/network pharmacology/serum pharmacochemistry/UPLC-MS/MS分类
医药卫生引用本文复制引用
颜莉娟,黄丽华,施川,胡准,陈荣,关小羽,孙天鹏,熊富良..芩贝止咳颗粒中质量标志物预测[J].中国现代中药,2025,27(10):1929-1937,9.基金项目
湖北省中央引导地方科技发展专项(2023EGA069) （2023EGA069）
鄂州市科技计划项目(EZ06-001-20240032) （EZ06-001-20240032）
