Predictive Analysis of Achillea alpina Quality Markers Based on Fingerprinting,Multi-indicator Quantification and Network Pharmacology
Objective:To analyze and predict the potential herbal quality maker(Q-Marker)of Achil-lea alpina by using fingerprinting and network pharmacology.Methods:The fingerprints of A.alpina were established by high performance liquid chromatography(HPLC).The similarity of 21 batches of A.alpina was evaluated and the common peaks were identified and attributed.The Q-Markers of A.al-pina were analyzed and their contents were determined by network pharmacology.Results:The finger-prints of 21 batches of A.alpina were established,and the similarity was greater than 0.910.13 peaks were identified,and 6 peaks were identified by control comparison,namely chlorogenic acid,isochlo-rogenic acid B,isochlorogenic acid A,isochlorogenic acid C,astragalin and 3,4,5-tricaffeoylquinic acid.The network pharmacology analysis identified 3 active ingredients,38 core targets and 20 key pathways for the anti-inflammatory and antibacterial effects.The preliminary prediction was that chlo-rogenic acid,astragalin and 3,4,5-tricaffeoylquinic acid could be used as potential Q-Markers for A.alpina.Conclusion:The Q-Markers obtained from the prediction analysis could provide some refer-ence for the quality control of A.alpina herb and lay the foundation for the subsequent study of its phar-macological basis and mechanism of action.
万方数据
维普
