Investigation of chemical diversity in different parts and origins of ethnomedicine Gentiana rigescens Franch using targeted metabolite profiling and multivariate statistical analysis.
Biomed Chromatogr
; 30(2): 232-40, 2016 Feb.
Article
en En
| MEDLINE
| ID: mdl-26094855
Gentiana rigescens, an ethnomedicine, is widely cultivated in Yunnan province of China. Although a wide range of metabolites including iridoid glycosides, flavonoids and triterpenoids have been reported in this ethnomedicine, the data on accumulation and distribution of metabolites in certain parts are limited. In this study, targeted metabolic fingerprinting of iridoid glycosides based on liquid chromatography-ultraviolet detection-tandem mass spectrometry (LC-UV-MS/MS) was developed to investigate the metabolic similarities and differences in different parts and origins. Thirty-one compounds, including iridoid glycosides and flavonoids, were detected from targeted metabolite profiling and plausibly assigned to the different parts of G. rigescens. Multivariate statistical analysis was designed to reveal close chemical similarities between all the selected samples and to identify key metabolites characteristic of the standard. The results suggested that accumulation and distribution of metabolites in aerial and underground parts were different. Moreover, root samples tended to be grouped on the basis of the geographical closeness of region. Five metabolites can be considered as potential markers for the classification of underground parts from different regions. These results provided chemical information on the potential pharmaceutical value for further research, making G. rigescens ideal for the rational usage of different parts and exploitation of the source.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Métodos Terapéuticos y Terapias MTCI:
Terapias_biologicas
Asunto principal:
Extractos Vegetales
/
Cromatografía Liquida
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Gentiana
/
Espectrometría de Masas en Tándem
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Biomed Chromatogr
Año:
2016
Tipo del documento:
Article
País de afiliación:
China