Prediction of Q-Marker for leaves from Adinandra nitida based on HPLC fingerprint and network pharmacology
Objective To predict potential Q-Markers for the leaves from Adinandra nitida using the chemical pattern recognition method of HPLC fingerprint data and network pharmacology techniques,so as to provide scientific basis for the quality evaluation of the leaves from A.nitida.Methods Ten batches of A.nitida leaf samples from different areas in Guangxi were collected,and the HPLC fingerprint of the leaves from A.nitida was established.Chemical pattern recognition analysis was employed to screen the major distinctive ingredients among different batches,and identify these ingredients by mass spectrometry.Utilizing network pharmacology,a"component-core target-pathway"network for the identified ingredients were constructed and analyzed to predict the potential Q-markers for the leaves from A.nitida.Results The fingerprint identified a total of 12 common peaks.Through chemical pattern recognition,five major distinctive ingredients were screened out between batches,including camelliaside A,epicatechin,catechin,quercitroside,and quercetin.Network pharmacology analysis indicated that those ingredients were associated with 221 targets and the signal pathways,which relate to the main effects and modem pharmacological actions of the leaves from A.nitida.The content determination results showed that the contents of camelliaside A,epicatechin,catechin,quercitroside,and quercetin in A.nitida were 41.56-96.90,85.45-101.01,7.39-12.96,5.74-15.22,and 2.65-12.43 mg·g-1,respectively.According to the five principles of Q-Markers,the preliminary prediction Q-Markers for the leaves from A.nitida.are camelliaside A,epicatechin,catechin,quercitroside,and quercetin.Conclusion This study preliminarily identified and predicted the Q-Markers for the leaves from A.nitida,providing a reference for improvement of its quality standard.
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