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 1 H-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 1 H-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.
Abbreviations
GM:Dr. Mora, Guanajuato sample
i. p. :intraperitoneal
JG:Guadalajara, Jalisco sample
MC:Cuernavaca, Morelos sample
MS:San Andrés de la Cal, Morelos sample
MT:Tepoztlán, Morelos sample
PC-1:principal component 1
PC-2:principal component 2
PCA:principal component analysis
PLS-DA:partial least square regression-discriminant analysis
QJ:Jalpan, Querétaro sample
Key words
Galphimia glauca
- Malpighiaceae - galphimines - sedative - anxiolytic - NMR-based metabolomics
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Prof. Dr. María Luisa Villarreal
Centro de Investigación en Biotecnología
Universidad Autónoma del Estado de Morelos
Avenida Universidad 1001
Col. Chamilpa
Cuernavaca
Morelos 62210
México
Phone: +52/777/329/7057
Fax: +52/777/329/7030
Email: luisav@buzon.uaem.mx
Email: luisav@cib.uaem.mx