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Metabolomics-based Comparative Analysis of the Effects of Host and Environment on Viscum coloratum Metabolites and Antioxidative Activities

化学 代谢组学 抗氧化剂 内脏相册 代谢组 绿原酸 谷胱甘肽 生物化学 氧化应激 多酚 代谢物
作者
Rui-Zhen Zhang,Jing-Tao Zhao,Wei-Qing Wang,Rong-Hua Fan,Rong Rong,Zhiguo Yu,Yunli Zhao
出处
期刊:Journal of Pharmaceutical Analysis [Elsevier]
被引量:2
标识
DOI:10.1016/j.jpha.2021.04.003
摘要

Abstract Viscum coloratum (Kom.) 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 is 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 method 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 differences in metabolite profile and antioxidant activity of V. coloratum. Results indicated that the metabolite profile obtained by various chemical approaches was simultaneously affected by hosts and environment factors, and the environment play a key role. Meanwhile, three main differential metabolites between two environment groups were identified. The results of antioxidant assay indicated that environment have more 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.
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