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利用核磁共振光谱和多变量数据分析对墨西哥抗焦虑和镇静植物银叶金虎尾进行代谢物谱分析。

Metabolic profiling of the Mexican anxiolytic and sedative plant Galphimia glauca using nuclear magnetic resonance spectroscopy and multivariate data analysis.

作者信息

Cardoso-Taketa Alexandre T, Pereda-Miranda Rogelio, Choi Young Hae, Verpoorte Robert, Villarreal María Luisa

机构信息

Centro de Investigación en Biotecnología, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, México.

出版信息

Planta Med. 2008 Aug;74(10):1295-301. doi: 10.1055/s-2008-1074583. Epub 2008 Jul 8.

Abstract

Galphimia glauca is popularly employed in Mexico for the treatment of central nervous system disorders. Pharmacological and phytochemical studies have resulted in the identification of the anxiolytic and sedative principle consisting of a mixture of nor-secofriedelanes, named the galphimine series (1 - 9). These active constituents were found in plants collected in the vicinity of a restricted region in Central Mexico, where this species is abundant. A metabolic profiling carried out by means of 1H-NMR spectroscopy and multivariate data analysis was applied to crude extracts from wild plant populations, collected from six different locations as a quality control assessment, in order to differentiate their chemical profile. Principal component analysis (PCA) of the 1H-NMR spectra revealed clear variations among the populations, with two populations out of the six studied manifesting differences, when the principal components PC-1 and PC-2 were analyzed. These two PCs permitted the differentiation of the various sample populations, depending on the presence of galphimines. This information consistently correlated with the corresponding HPLC analysis. The neuropharmacological effects of the crude extracts were evaluated by using ICR mice in the elevated plus maze, as well as the sodium pentobarbital-induced hypnosis models. Both assays demonstrated anxiolytic and sedative responses only among those sample populations which had previously been differentiated by PC-1. Partial least square regression-discriminant analysis (PLS-DA) also confirmed a strong correlation between the observed effects and the metabolic profiles of the plants. The overall results of this study confirm the benefits of using metabolic profiling for the in silico analysis of active principles in medicinal plants.

摘要

在墨西哥,蓝花刺萼龙胆被广泛用于治疗中枢神经系统疾病。药理学和植物化学研究已鉴定出其具有抗焦虑和镇静作用的成分,该成分由一组降羽扇豆烷混合物组成,称为刺萼龙胆胺系列(1 - 9)。这些活性成分是在墨西哥中部一个限制区域附近采集的植物中发现的,该物种在那里大量生长。通过1H - NMR光谱和多变量数据分析进行的代谢谱分析被应用于从六个不同地点采集的野生植物种群的粗提物,作为质量控制评估,以区分它们的化学谱。对1H - NMR光谱进行主成分分析(PCA)显示,在分析主成分PC - 1和PC - 2时,六个研究种群之间存在明显差异,六个种群中有两个表现出差异。这两个主成分能够根据刺萼龙胆胺的存在区分不同的样本种群。该信息与相应的HPLC分析结果一致。使用ICR小鼠在高架十字迷宫以及戊巴比妥钠诱导的催眠模型中评估粗提物的神经药理学作用。两种试验均表明,只有那些先前通过PC - 1区分的样本种群表现出抗焦虑和镇静反应。偏最小二乘回归判别分析(PLS - DA)也证实了观察到的效应与植物代谢谱之间存在强相关性。这项研究的总体结果证实了使用代谢谱对药用植物活性成分进行计算机分析的益处。

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