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We identified the chemical components of Hovenia dulcis by UPLC-QE-MS/MS.Moreover, we established the fingerprints of 12 batches of Hovenia dulcis samples from different origins, screened the quality markers(Q-Marker) of Hovenia dulcis by combining chemical pattern recognition with pharmacokinetic data, and established the content determination methods.Furthermore, we predicted the action mechanism by network pharmacology and molecular docking technology.The results show that 43 common chemical components are identified by UPLC-QE-MS/MS.The similarity evaluation results indicate that Hovenia dulcis samples can be roughly divided into two categories, namely, the southern and northern ones, according to their origins.Quercetin, taxifolin, naringenin, kaempferol, and eriodictyol are preliminarily determined as the Q-Marker of Hovenia dulcis,with the content ranges of 20.72-218.37,44.04-2 401.20,2.24-15.55,1.51-3.65,and 1.62-9.83 μg·g-1,respectively.The 5 Q-Marker exerts their pharmacological effects by acting on key targets such as AKT1 and PIK3R1,and regulating cancer-related pathways and PI3K-Akt signaling pathways.The Q-Marker screened by combining fingerprints with network pharmacology provides a scientific basis for the comprehensive quality control and evaluation of Hovenia dulcis.
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Basic Information:
China Classification Code:R285
Citation Information:
[1]CAI Wen,DING Xiaoyan,LI Jiayi ,et al.Prediction of Quality Markers of Hovenia dulcis Based on Fingerprints and Network Pharmacology[J].Chemistry ＆ Bioengineering,2026,43(05):29-38.
Fund Information:
山东省自然科学基金项目(ZR2023LZY027); 山东省重点研发计划项目(2021SFGC1205); 国家自然科学基金项目(82004037); 国家中医药管理局计划项目(GZY-KJS-2023-027);国家中医药管理局高水平中医药重点学科建设项目(zyyzdxk-2023121); 山东省中医药科技项目(M-2023291T)
2026-05-13
2026-05-13