Q-marker prediction analysis of Paeoniae Radix Alba based on fingerprint and network pharmacology
10.7501/j.issn.0253-2670.2020.10.005
- VernacularTitle: 基于指纹图谱及网络药理学的白芍质量标志物(Q-marker)预测分析
- Author:
Xi MEI
1
Author Information
1. College of Pharmacy, Nanjing University of Chinese Medicine
- Publication Type:Journal Article
- Keywords:
Albiflorin;
Danggui Sini Decoction;
Fingerprint;
Network pharmacology;
Paeoniae Radix Alba;
Paeoniflorin;
Quality marker
- From:
Chinese Traditional and Herbal Drugs
2020;51(10):2627-2633
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the potential Q-marker of Paeoniae Radix Alba in Danggui Sini Decoction based on fingerprint and network pharmacology. Methods: The fingerprints of Paeoniae Radix Alba decoction and Danggui Sini Decoction were established, and the law of components transfer was also defined. The "compounds-targets-pathways" network was then established to predict the potential Q-marker of Paeoniae Radix Alba through the network pharmacology. Results: The fingerprints of 15 batches of Paeoniae Radix Alba decoction and 15 batches of Danggui Sini Decoction were established, and the five chromatographic peaks were identified, they were gallic acid, albiflorin, paeoniflorin, 1,2,3,4,6-O-pentagalloylglucose, and benzoyl paeoniflorin. Through the network pharmacology analysis, the potential two active components, eight core targets and 13 key pathways were screened out, which indicated that paeoniflorin and albiflorin were preliminarily predicted to the potential Q-marker of Paeoniae Radix Alba. Conclusion: The analysis and prediction of the Q-marker in this study can provide a reference for the whole control of the Paeoniae Radix Alba quality, which can also provide the basis for the further research on the efficacy-related substance and mechanism of Paeoniae Radix Alba.
