REDBIO México 2010

Folio: 280
Tipo de presentación: Cartel
Tema: Metabolómica

Metabolic Profiling of the Mexican Anxiolytic and Sedative Plant Galphimia glauca

Ashutosh Sharma 1*, Alexandre Cardoso-Taketa 1* and María Luisa Villarreal
1* Centro de Investigación en Biotecnología, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, México.

RESUMEN (ABSTRACT)
"Galphimia glauca is popularly employed in Mexico for the treatment of central nervous system disorders. Samples were collected from state of Morelos, Guanajuato, Jalisco, Queretaro and Chiapas. Nevertheless, the active compounds are only present in the populations of the states of Guanajuato and Queretaro. This is a revised study of our previously published data to evaluate the consistency of the metabolic profile of G. glauca and to investigate samples, collected from new localities, to establish their metabolic profile. Metabolic profiling carried out by means of 1H-NMR spectroscopy, HPLC, TLC and multivariate data analysis was applied to crude extracts from seven different locations as a quality control assessment. Principle component analysis (PCA) of the 1H-NMR spectra revealed clear variations among the populations, with three (Guanajuato (G), Queretaro (Q), Chiapas (C)) out of seven studied manifesting differences when the principle component PC-1 and PC-2 were analyzed. Surprisingly samples from Chiapas were showing similar profile like G and Q, but when the PC-2 and PC-3 were analyzed, samples of Chiapas showed a clearly different profile than G and Q. These PCs permitted the differentiation of the various sample populations, depending on the presence of galphimines. This information was confirmed and consistently correlated with corresponding HPLC analysis and TLC. Anxiolytic and sedative responses were recorded only among sample populations G and Q and not observed in the sample populations from C. PC-1 and PC-2 profile of these samples may be due to the presence of some other common chemical compounds like flavonoids. Partial least square regression-discriminant analysis (PLS-DA) also confirmed a strong correlation between the observed effect and 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."