Spectrum-effect relationship of anti-inflammatory activity of Shufeng Jiedu Capsule based on neural network analysis
10.7501/j.issn.0253-2670.2019.15.002
- Author:
Yan-Qi HAN
1
Author Information
1. National & Local United Engineering Laboratory of Modern Preparation and Quality Control Technology of Traditional Chinese Medicine, Tianjin Institute of Pharmaceutical Research
- Publication Type:Journal Article
- Keywords:
Anti-inflammation;
Emodin;
Erbenalin;
Forsythoside A;
LC-MC;
Neural network analysis;
Pinoresinol-β-D-glucoside;
Polydatin;
Rhein;
Shufeng Jiedu Capsule;
Spectrum-effect analysis;
Verbascoside
- From:
Chinese Traditional and Herbal Drugs
2019;50(15):3526-3533
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To establish the spectrum-effect relationship network model of Shufeng Jiedu Capsule (SJC) for anti- inflammatory activity and explore potential effective compounds of its anti-inflammatory effects. Methods: On the basis of the establishment of fingerprint analysis method for SJC, the uniform design method was used to divide eight herbs in SJC into groups of different proportions to determine their inhibition ratios of TNF-α and IL-6 released by LPS-induced RAW264.7 cells. Pharmacodynamic data and chemical information of MS fingerprints of each group were analyzed with the BP artificial neural network to get the anti-inflammatory effect of each peak to establish the chromatography-efficacy relationship. Results: According to the optimal neural network model, 14 characteristic peaks were calculated and found to be significantly correlated with the anti- inflammatory activity of SJC. Conclusion: Through the spectrum-effect study, it is speculated that the anti-inflammatory components of SJC may be the 14 compounds including rhein, emodin, verbenalin, verbascoside, pinoresinol-β-D-glucoside, forsythoside A, polydatin, etc., which provides a reference for the quality control and determination of effective components.
