Predictive Analysis of Quality Markers of Gastrodia elata Bl.Based on Fingerprint,Chemical Pattern Recognition and Network Pharmacology
10.11842/wst.20240718001
- VernacularTitle: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
- Author:
Jingmin HAI
1
;
Qi TAO
;
Zhigang HU
;
Yifei LIU
;
Liuling PEI
Author Information
1. 湖北中医药大学 武汉 430065
- Publication Type:Journal Article
- Keywords:
Gastrodia elata Bl.;
Quality marker;
Fingerprint;
Chemical pattern recognition;
Network pharmacology
- From:
World Science and Technology-Modernization of Traditional Chinese Medicine
2025;27(1):1-13
- CountryChina
- Language:Chinese
-
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.
