Rapid discovery and identification of anti inflammatory constituents from traditional Chinese medicine formula by activity index, LC MS, and NMR
The traditional activity guided approach has the shortcoming of low accuracy and efficiency in discovering active compounds from TCM. In this work, an approach was developed by integrating activity index (AI) liquid chromatography mass spectrometry (LC MS) and nuclear magnetic resonance (NMR) to rapidly predict and identify the potential active constituents from TCM. This approach was used to discover and identify the anti inflammatory constituents from a TCM formula, Gui Zhi Jia Shao Yao Tang (GZJSYT) The AI results indicated that, among the 903 constituents detected in GZJSYT by LC MS, 61 constituents with higher AI values were very likely to have anti inflammatory activities. And eight potential active constituents of them were isolated and validated to have significant inhibitory effects against NO production on LPS induced RAW 264.7 cell model. Among them, glycyrrhisoflavone (836) glisoflavanone (893) and isoangustone A (902) were reported to have anti inflammatory effects for the first time. The proposed approach could be generally applicable for rapid and high efficient discovery of anti inflammatory constituents from other TCM formulae or natural products.
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