中国中医药信息杂志2025，Vol.32Issue(6)：135-141,7.DOI:10.19879/j.cnki.1005-5304.202412197
基于指纹图谱、网络药理学的泽泻和盐泽泻质量标志物预测
Prediction of Quality Markers of Alismatis Rhizoma and Salted Alismatis Rhizoma Based on Fingerprint and Network Pharmacology
摘要
Abstract
Objective To predict the quality markers of Alismatis Rhizoma and salted Alismatis Rhizoma based on fingerprints and multivariate statistical analysis combined with network pharmacology.Methods HPLC-DAD method was used to establish fingerprints of Alismatis Rhizoma and salted Alismatis Rhizoma.Based on the peak area data of the fingerprints,clustering analysis,principal component analysis and orthogonal partial least squares-discriminant analysis were employed to evaluate the quality of 10 batches of Alismatis Rhizoma and 12 batches of salted Alismatis Rhizoma.The main components with quality differences were screened.Network pharmacology was used to analyze the targets and related pathways of the screened components,A component-target-pathway network was constructed,and molecular docking was used to verify.Quality markers of Alismatis Rhizoma and salted Alismatis Rhizoma were predicted.Results The HPLC fingerprints of Alismatis Rhizoma and salted Alismatis Rhizoma were established.The similarity evaluation showed that the similarity of 10 batches of Alismatis Rhizoma and 12 batches of salted Alismatis Rhizoma ranges from 0.991 to 0.998,0.992 to 1.000,respectively.Nine components with quality differences were identified through multivariate statistical analysis,and five of them were identified as alismoxide,alisol C,alismol,alisol B,23-acetate alisol B.Network pharmacological analysis suggested 278 targets of action associated with the five components.The main signaling pathways of KEGG pathway enrichment analysis were closely related to the main efficacy and modern pharmacological effects of Alismatis Rhizoma and salted Alismatis Rhizoma.These 5 components were preliminary predicted as quality markers for Alismatis Rhizoma and salted Alismatis Rhizoma.Conclusion This study predicted 5 quality markers for Alismatis Rhizoma and salted Alismatis Rhizoma,which can provide reference for their quality control and further research.关键词
泽泻/盐泽泻/指纹图谱/多元统计分析/质量标志物/网络药理学/分子对接Key words
Alismatis Rhizoma/salted Alismatis Rhizoma/fingerprint/multivariate statistical analysis/quality marker/network pharmacology/molecular docking分类
医药卫生引用本文复制引用
洪挺,李丹,张玉,张妍,杨毅生,肖小武..基于指纹图谱、网络药理学的泽泻和盐泽泻质量标志物预测[J].中国中医药信息杂志,2025,32(6):135-141,7.基金项目
江西省中医药标准化研究项目(2023A09) （2023A09）
