Identification and determination of the quality marker of mulberry leaf based on"component-target-pathway"network
Objective To explore potential quality markers(Q-Marker)of mulberry leaves based on"component-target-pathway"network,and to determine the contents of Q-Marker.Methods The fingerprints of fifteen batches of mulberry leaves were established by HPLC.The common peaks were identified and the similarity evaluation was conducted.Then,the Q-Marker of mulberry leaves were identified by the multivariate statistical analysis methods and the network pharmacology.Meanwhile,the contents of related components were determined by HPLC.Results The nine common peaks were confirmed by fingerprints of fifteen batches of mulberry leaves.And six chromatographic peaks were identified by reference substances.The similarities were ranged from 0.908 to 0.999.The 15 batches of materials were grouped into two categories.The biomarkers were screened by taking the variable importance in projection(VIP)value>1 as the standard,which were chlorogenic acid,rutin,isoquercitrin,astragaloside,cryptochlorogenic acid,and neochlorogenic acid.Based on network pharmacology,the six components may exert hypoglycemic,lipid-lowering and anti-inflammatory effect through T cell receptor signaling pathway,C-type lectin receptor signaling pathway,MAPK signaling pathway and other signal pathways.So they could be used as potential Q-Marker of mulberry leaves.The contents of neochlorogenic acid,chlorogenic acid,cryptochlorogenic acid,rutin,isoquercitrin and astragaloside were determined.The contents of above 6 components were 0.075-1.463 mg·g-1,2.511-11.940 mg·g-1,0.842-2.921 mg·g-1,0.214-2.546 mg·g-1,0.330-2.822 mg·g-1 and 0.113-0.828 mg·g-1.Conclusion The Q-marker of mulberry leaves are analyzed and predicted by multivariate statistical analysis,"component-target-pathway"network and multi-indicator quantification,which lays the foundation for the establishment of the quality evaluation system and the study of the medicinal substance.
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