Metabolomics-based comparative analysis of the effects of host and environment on Viscum coloratum metabolites and antioxidative activities / 药物分析学报
Journal of Pharmaceutical Analysis
; (6): 243-252, 2022.
Article
em Zh
| WPRIM
| ID: wpr-931251
Biblioteca responsável:
WPRO
ABSTRACT
Viscum coloratum(Komn.)Nakai is a well-known medicinal hemiparasite widely distributed in Asia.The synthesis and accumulation of its metabolites are affected by both environmental factors and the host plants,while the latter of which is usually overlooked.The purpose of this study was to comprehensively evaluate the effects of host and habitat on the metabolites in V.coloratum through multiple chemical and biological approaches.The metabolite profile of V.coloratum harvested from three different host plants in two habitats were determined by multiple chemical methods including high-performance liquid chromatography-ultraviolet(HPLC-UV),gas chromatography-flame ionization detector(GC-FID)and ultra-performance liquid chromatography quadrupole time of flight mass spectrometry(UPLC-QTOF/MS).The differences in antioxidant efficacy of V.coloratum were determined based on multiple in vitro models.The multivariate statistical analysis and data fusion strategy were applied to analyze the dif-ferences in metabolite profile and antioxidant activity of V.coloratum.Results indicated that the metabolite profile obtained by various chemical approaches was simultaneously affected by host and environment factors,and the environment plays a key role.Meanwhile,three main differential metab-olites between two environment groups were identified.The results of antioxidant assay indicated that the environment has greater effects on the biological activity of V.coloratum than the host.Therefore,we conclude that the integration of various chemical and biological approaches combined with multivariate statistical and data fusion analysis,which can determine the influences of host plant and habitat on the metabolites,is a powerful strategy to control the quality of semi-parasitic herbal medicine.
Texto completo:
1
Base de dados:
WPRIM
Tipo de estudo:
Prognostic_studies
Idioma:
Zh
Revista:
Journal of Pharmaceutical Analysis
Ano de publicação:
2022
Tipo de documento:
Article