中医药信息2026，Vol.43Issue(5)：23-32,10.DOI:10.19656/j.cnki.1002-2406.20260504
基于UPLC-QTOF-MS的小叶买麻藤活性成分研究及其抗高尿酸血症"成分-靶点-通路"网络构建
Study on Active Components of Gnetum parvifolium Based on UPLC-QTOF-MS and Construction of Its"Component-Target-Pathway"Network for Anti-Hyperuricemia
摘要
Abstract
Objective To analyze the chemical composition of Gnetum parvifolium against hyperuricemia and construct a"components-targets-pathways"network based on ultra-high performance liquid chromatography(UPLC)-Quadrupole Time-of-Flight Mass Spectrometry(QTOF-MS).Methods According to the mass spectrum information,the chemical components of Gnetum parvifolium were rapidly analyzed in UNIFI software;The active ingredients were screened from TCMSP、SEA and SwissTargetPrediction databases and their target prediction was conducted.Disease targets related hyperuricemia were screened by the GeneCards,OMIM,and TTD databases.Subsequently,the overlapping targets were used to construct a PPI network.Go and KEGG enrichment analyses were performed on these targets.Then,a"drug-target-disease"network was constructed and validated by molecular docking.Results According to the accurate relative molecular mass and the Multistage Mass Spectrometry Fragment Ions,combined with the UNIFI database and literature comparison,43 chemical components in the ethanol extract of Gnetum parvifolium were analyzed.23 component-disease common targets were obtained by TCMSP.The main active components of anti-hyperuricemia in Gnetum parvifolium were chrysoeriol,naringenin,daucosterol,and oroxylin A,and it was speculated that IL-6,TNF,CAT,PPARG and VEGFA were the key targets,involving pathways such as neurodegenerative diseases,atherosclerosis,and anti-folate.Conclusion Based on UPLC-QTOF-MS,network pharmacology,and molecular docking,the"component-target-pathway"network was constructed to elucidate the main active components and potential mechanism of Gnetum parvifolium against hyperuricemia.关键词
小叶买麻藤/高尿酸血症/UPLC-QTOF-MS/分子对接/网络药理学Key words
Gnetum parvifolium/Hyperuricemia/UPLC-QTOF-MS/Molecular docking/Network pharmacology引用本文复制引用
刘石磊,陈忠新,宋小雪,毛宏宇,孟永海,翟春梅..基于UPLC-QTOF-MS的小叶买麻藤活性成分研究及其抗高尿酸血症"成分-靶点-通路"网络构建[J].中医药信息,2026,43(5):23-32,10.基金项目
黑龙江省医药卫生科研课题项目(20231313050396) （20231313050396）
哈尔滨市科技创新人才研究专项资金项目(2017RAQXJ125) （2017RAQXJ125）
黑龙江中医药大学研究生创新科研项目(2022yjscx055) （2022yjscx055）
