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Details

Autor(en) / Beteiligte
Titel
Investigation of the material basis of Xiexin Tang to alleviate type 2 diabetes mellitus based on spectrum-effect analysis by UPLC-Q-TOF/MS
Ist Teil von
  • Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2023-04, Vol.1221, p.123691-123691, Article 123691
Ort / Verlag
Netherlands: Elsevier B.V
Erscheinungsjahr
2023
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
  • •XXT was eluted into 5 fractions by the macroporous absorption resin separation method. The fingerprints of different fractions were built and main chemical components were identified by UPLC-Q-TOF/MS technology.•The rat model of T2DM was successfully established and applied to assess the efficacy of different fractions from XXT. Results showed that XXT-1 and XXT-2 were the most active fractions.•The bioactive constituents of XXT were screened out by spectrum-effect relationship with grey relational analysis and pearson bivariate correlation analysis. Xiexin Tang (XXT) is a classic prescription for treating diabetes in clinical practices for thousands of years in China, which has been also proved by a large number of modern pharmacological studies. However, due to its complex composition, the bioactive ingredients of XXT is still unclear. In present researches, spectrum-effect relationship analysis is widely used to explore the material basis of traditional medical herbs, so this method was adopted in this study. Firstly, the extract of XXT was separated and enriched into 5 fractions by macroporous adsorption resin. Then, UPLC-Q-TOF/MS method was used for qualitative identification of components in each eluting part, and efficacy of each fraction was assessed by the T2DM rat model. Based on grey relational analysis and pearson bivariate correlation analysis, it was found that the components such as berberine, gallic acid, catechin, epicatechin, acteoside, berberastine and 1-O-galloyl-β-D-glucose might be the main effective basis of XXT to improve T2DM.
Sprache
Englisch
Identifikatoren
ISSN: 1570-0232
eISSN: 1873-376X
DOI: 10.1016/j.jchromb.2023.123691
Titel-ID: cdi_proquest_miscellaneous_2795360104

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