世界科学技术-中医药现代化2025，Vol.27Issue(1)：1-13,13.DOI:10.11842/wst.20240718001
基于指纹图谱结合化学模式识别和网络药理学的天麻质量标志物(Q-Marker)预测分析
Predictive Analysis of Quality Markers of Gastrodia elata Bl.Based on Fingerprint,Chemical Pattern Recognition and Network Pharmacology
摘要
Abstract
Objective To predict potential quality markers(Q-Markers)of Gastrodia elata using fingerprinting,chemical pattern recognition and network pharmacology methods.Methods A total of 46 batches of Gastrodia elata were analyzed using high-performance liquid chromatography(HPLC)to establish fingerprint profiles,and common peaks were identified.Systematic cluster analysis(HCA),principal component analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA)were employed to evaluate the 46 batches of samples.Additionally,The network diagram of"components-targets-pathways"was constructed using network pharmacology.Q-Marker of Gastrodia elata was predicted and quantitative analysis was conducted simultaneously.Results Seven substances were identified among the 13 common peaks in the fingerprint profiles.Results from HCA,PCA,and OPLS-DA were consistent,while network pharmacology identified 17 core active ingredients,86 core targets,and 181 key pathways.Integrating fingerprinting and network pharmacology,Gastrodin,p-hydroxybenzyl alcohol,parishin A,parishin B,parishin C,and parishin E were selected as potential Q-Markers of Gastrodia elata.The total contents of GAS and HBA alcohol in 46 batches of Gastrodia gastrodia decoction pieces ranged from 0.17%to 2.08%.Conclusion Integration of fingerprinting and network pharmacology analyses predicted potential Q-Markers of Gastrodia elata,and providing a scientific basis for comprehensive quality control and evaluation.关键词
天麻/质量标志物/指纹图谱/化学模式识别/网络药理学Key words
Gastrodia elata Bl./Quality marker/Fingerprint/Chemical pattern recognition/Network pharmacology分类
医药卫生引用本文复制引用
海婧敏,陶琦,胡志刚,刘义飞,裴柳玲..基于指纹图谱结合化学模式识别和网络药理学的天麻质量标志物(Q-Marker)预测分析[J].世界科学技术-中医药现代化,2025,27(1):1-13,13.基金项目
湖北中医药大学中医药重点专项(2022ZZXZ002):天麻核心种质遗传评价筛选及泛基因组学研究,负责人:刘义飞. （2022ZZXZ002）
