会议专题

STUDY ON METABONOMICS MECHANISM OF COMPATIBILITY OF GINSENOSIDES AND TENUIGENINS ON ALZHEIMERS DISEASE RATS BASED ON UPLC-MS

  Ginseng and polygala tenuifolia are traditional Chinese medcine for the treatment of Alzheimers disease(AD).Ginsenoside and tenuigenin are the major effective compounds found in ginseng and polygala tenuifolia,respectively.In this study,a urinary metabonomics method based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight high definition mass spectrometry was performed to assess the holistic mechanism of the compatibility of ginsenosides and tenuigenins for treating AD in rats.30 male rats were randomly divided into 3 groups,named as the normal group(NG),the model group(MG),the treatment group(TG).The MG and TG were induced for modeling AD by using D-galactose combined with aluminum trichloride.Multivariate statistical approaches,such as principal component analysis(PCA)and orthogonal projection to latent structures squares-discriminant analysis(OPLS-DA)were used to distinguish 3 groups and find potential biomarkers.As results shown,there was a clear separation between the 3 groups in the PCA.Ten potential biomarkers had been identified using OPLS-DA and S-plot,which belonged to tryptophan metabolism,taurine and hypotaurine metabolism and inositol phosphate metabolism.This study shows that metabonomics is a powerful methodology,which could further explore the mechanism of compatibility of ginsenosides and tenuigenins in the treatment of AD.

Compatibility of ginsenosides and tenuigenins Alzheimers disease metabolomics UPLC-Q-TOF-MS

Yan Zhang Hui Li Guan Wang Ben Liu Fan Zhang Hongqi Wang Wunjing You Cong Ni Wenhao Ma

School of Chemical and Pharmaceutical Engineering,ilin Institute of Chemical Technology,No.45 Chengd Graduate School,Jilin Institute of Chemical Technology,No.45 Chengde Street,Jilin,China

国际会议

2018 International Conference on New Materials and Intelligent Manufacturing (ICNMIM(2018年第一届新材料与智能制造国际会议))

吉林

英文

280-283

2018-06-23(万方平台首次上网日期,不代表论文的发表时间)