Chinese Traditional and Herbal Drugs
|
2026, 57(17): 6701-6714
Metabolic profiling of oligosaccharide esters of Polygala tenuifolia in rats based on feature-based molecular networking
Full
WEI Ying1, YANG Xiangfen2, GUAN Gengming2, WANG Zixin2, NIU Zhenyu2, SONG Qingqing2
Affiliations
1 Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China;
2 School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
doi: 10.7501/j.issn.0253-2670.2026.17.005
Outline
Objective To systematically characterize the metabolites of polygala oligosaccharide esters (PROEs) in rats, thereby providing evidence for elucidating the pharmacodynamic material basis of Polygala tenuifolia. Method Plasma samples from rats after oral administration of PROEs were analyzed using UPLC-QTOF-MS/MS. Feature-based molecular networking (FBMN) was employed to visually cluster and screen for potential metabolites. The identities of predicted metabolites were further confirmed by comparison with reference standards prepared via in vitro enzymatic incubation and chemical isomerization synthesis. Results FBMN effectively clustered structurally similar metabolites, such as glucuronidated and sulfated products, from the mass spectrometry data. A total of 59 metabolites were identified in rat plasma, including 14 free phenolic acids, 21 sulfated organic acids, 17 glucuronidated organic acids, and seven other compounds. No intact PROEs were detected. The metabolic pathway analysis revealed that PROEs were rapidly hydrolyzed in vivo to generate various phenolic acids (e.g., sinapic acid, ferulic acid, syringic acid), which subsequently underwent extensive phase I metabolism (reduction, demethylation, dehydroxylation) and predominantly phase II metabolism (sulfation and glucuronidation). Conclusion Following oral administration, PROEs enter the systemic circulation primarily as hydrolyzed organic acids and their extensive phase II conjugates. This study demonstrates that the combination of UPLC-Qtof-MS/MS and FBMN provides an efficient and comprehensive strategy for identifying the in vivo metabolites of PROEs. This approach offers a basis for revealing the active constituents of P. tenuifolia and serves as an effective method for elucidating the metabolic profiles of traditional Chinese medicines.
Polygala tenuifolia Willd.
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oligosaccharide ester
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Feature-based molecular networking
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UPLC-QTOF-MS/MS
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metabolite
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metabolic pathway
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sinapic acid
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ferulic acid
魏颖, 杨湘芬, 关庚明, 王子欣, 牛振宇, 宋青青.
基于特征分子网络技术分析远志寡糖酯在大鼠体内的代谢产物.
中草药,
2026
, 57
(17)
: 6701
-6714
.
DOI: 10.7501/j.issn.0253-2670.2026.17.005
WEI Ying, YANG Xiangfen, GUAN Gengming, WANG Zixin, NIU Zhenyu, SONG Qingqing.
Metabolic profiling of oligosaccharide esters of Polygala tenuifolia in rats based on feature-based molecular networking[J].
Chinese Traditional and Herbal Drugs,
2026
, 57
(17)
: 6701
-6714
.
DOI: 10.7501/j.issn.0253-2670.2026.17.005
Year 2026 volume 57 Issue 17
29
5
Cite this Article
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Article Info
doi: 10.7501/j.issn.0253-2670.2026.17.005
- Receive Date:2025-12-20
- Online Date:2026-10-29