Prediction and evaluation of quality markers of Gentiana scabra Bge.

YU Xue-lin; LIU Jia-yi; DU Jun-nan; WANG Dan; HOU Jian-ming; JIANG Bo-qian; CUI Ji-dan; YIN Hai-bo

doi:10.20251/j.cnki.1003-3734.2025.08.013

Abstract：Objective:To predict the quality markers(Q-marker)of Gentiana scabra Bge.based on HPLC and network pharmacology,and establish a quality evaluation method for G.scabra Bge.Methods:HPLC fingerprint was used to screen the source range of G.scabra Bge.Q-markers.Network pharmacology was used to identify the potential Q-markers.In vitro experiments were performed to verify its protective effect on oxidative stress injury and determine the Q-markers of G.scabra Bge.HPLC was used to determine the contents of Q-markers in 32 batches of G.scabra Bge.from different producing areas in Northeast China.The grey correlation degree method combined with entropy weight method was used to establish the quality evaluation model.Results:A total of 25 common peaks were calibrated,and four chromatographic peaks of loganin,swertiamarin,gentiopicroside,and swertiamarin were identified.Network pharmacology showed that the four chemical components acted on 21 targets such as TNF,EGFR,CASP3,etc.,and played a pharmacological role in anti-liver injury,jaundice,and eye redness through hepatitis C signaling pathway and TNF signaling pathway.In vitro experiments verified that all the four components had a certain protective effect on HepG2 cells damaged by oxidative stress,and these four components were predicted to be Q-markers of G.scabra Bge.The relative grey correlation coefficients of Q-marker contents in 32 batches of samples ranged from 0.322 to 0.638,indicating that the quality of medicinal materials from different producing areas was greatly different,and the quality of wild medicinal materials was higher than that of cultivated medicinal materials.Conclusion:In this study,the Q-markers of G.scabra Bge.were preliminarily predicted,and the quality evaluation model of G.scabra Bge.from different regions was established by the grey correlation degree combined with entropy weight method,which provided a reference for improving the quality evaluation system of G.scabra Bge.