Screening of quality markers for Hedan Tablets in the treatment of hyperlipidemia based on fingerprint,network pharmacology and multi-constituent quantification
CAO Yifan
XIA Linbo
XIE Yan
LI Hanyue
ZOU Ye
DENG Shiren
Abstract：Objective Based on the concept of quality marker(Q-marker)in traditional Chinese medicine(TCM),the fingerprint,network pharmacology and multi-constituent quantification were used to screen the potential Q-Marker of Hedan Tablets(HDT)for the treatment of hyperlipidemia.Methods Firstly,the HPLC fingerprint of HDT was established and the differential markers were analyzed by chemical pattern recognition.Secondly,by using network pharmacology,the potential targets and pathways of HDT in treatment of hyperlipidemia were predicted,and the potential Q-Marker then screened out according to the degree value.Finally,a UHPLC-based multi-constituent quantification was established to determine the content of the predicted landmark components.Results The fingerprint was established and 21 common peaks were detected,from which 10 differential markers were selected by chemical pattern recognition and confirmed by reference substance chromatography.Utilizing network pharmacology analysis,the above 10 differential markers exert lipid-lowering effects by acting on Akt1,TNF,PPARG,MMP9,TP53,HMGCR and other targets to modulate the signaling pathways of endocrine resistance,insulin resistance,lipids and atherosclerosis.And then 6 core active ingredients,including sennoside A,rosmarinic acid,quercetin-3-O-glucuronide,hyperoside,psoralenoside and nuciferine were screened as the potential Q-Markers based on the degree value,with the content of 0.01～0.09,0.02～0.27,0.21～4.30,0.09～1.71,0.06～0.54,0.11～0.60 mg per tablet,respectively.Conclusion The above 6 core active ingredients were consistent with the screening principles of TCM Q-Markers,such as the compatibility environment,effectiveness,specificity and measurability,and could be used as potential Q-Markers for HDT in the treatment of hyperlipidemia.
Keywords：Hedan TabletsHyperlipidemiaQuality markersNetwork pharmacologyChemical pattern recognitionFingerprintMulti-constituent quantification
Publication Date：2026-02-28
Online Publishing Date：2026-03-25(First online date of this platform, not the publication date of the document)
Pages：10( 121-129,140 )