Metabolomic profiling of the antitussive and expectorant plant Tussilago farfara L. by nuclear magnetic resonance spectroscopy and multivariate data analysis

被引：33

作者：

Li, Zhen-Yu ^{[1
]}

Zhi, Hai-Juan ^{[1
,2
]}

Zhang, Fu-Sheng ^{[1
]}

Sun, Hai-Feng ^{[1
,2
]}

Zhang, Li-Zeng ^{[1
]}

Jia, Jin-Ping ^{[1
]}

Xing, Jie ^{[1
]}

Qin, Xue-Mei ^{[1
]}

机构：

[1] Shanxi Univ, Modern Res Ctr Tradit Chinese Med, Taiyuan 030006, Shanxi, Peoples R China

[2] Shanxi Univ, Coll Chem & Chem Engn, Taiyuan 030006, Shanxi, Peoples R China

来源：

JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS | 2013年 / 75卷

基金：

中国国家自然科学基金;

关键词：

Metabolomic; Tussilago farfara L; Antitussive; Expectorant; Multivariate data analysis; FLOWER BUDS; SESQUITERPENOIDS; EXTRACTION;

D O I：

10.1016/j.jpba.2012.11.023

中图分类号：

O65 [分析化学];

学科分类号：

070302 [分析化学];

摘要：

This study aims to find metabolites responsible for antitussive and expectorant activities of Tussilago farfara L. by metabolomic approach. Different parts (roots, flower buds, and leaves) of the title plant were analyzed systematically. The in vivo study revealed that the leaves and flower buds had strong antitussive and expectorant effects. Then H-1 NMR spectrometry together with principal component analysis (PCA) and partial least squares discriminant (PLS-DA) analysis were used to investigate the compounds responsible for the bioactivities. PCA was used to find the differential metabolites, while PLS-DA confirmed a strong correlation between the observed effects and the metabolic profiles of the plant. The result revealed that chlorogenic acid, 3,5-dicaffeoylquinic acid, and rutin may be closely related with the antitussive and expectorant activities. The overall results of this study confirm the benefits of using metabolic profiling for screening active principles in medicinal plants. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：158 / 164

页数：7

共 33 条

[1]

Metabolic characterization of Palatinate German white wines according to sensory attributes, varieties, and vintages using NMR spectroscopy and multivariate data analyses [J].