Evaluation of the variables altitude, soil composition and development of a predictive model of the antibacterial activity for the genus Hypericum by chromatographic fingerprint. (June 2019)

• Record Type: Journal Article
• Authors: Ortega-Puma, Carmen; Fajardo-Carmona, Sandra; Ortíz-Ulloa, Johana; Tobar, Vladimiro; Quito-Ávila, Diego; Santos-Ordoñez, Efrén; Jerves-Andrade, Lourdes; Cuzco, Nancy; Wilches, Isabel; León-Tamaríz, Fabián
• Is Part Of: Phytochemistry letters. Volume 31(2019)
• Page Start: 104
• Page End: 113
• Publication Date: 2019-06
• Subjects: Altitude -- Antibacterial activity -- Chromatographic fingerprint -- Hypericum spp. -- Predictive model -- Soil composition; Botanical chemistry -- Periodicals; Chimie végétale -- Périodiques; 572.205
• DOI: 10.1016/j.phytol.2019.03.007
• Languages: English
• ISSNs: 1874-3900

Abstract

Graphical abstract: Highlights: H. laricifolium, H. quitense and H. decandrum extracts showed anti-MRSA activity. H. laricifolium extracts were the more active over MRSA. Soil pH and organic matter influenced the antibacterial activity of H. laricifolium. A relationship between altitude and antibacterial effect was not found. The prediction model obtained did not have predictive ability to different species. Abstract: H. laricifolium Juss is a native shrub from the Andes used for the treatment of antibacterial infections among other illnesses. Nowadays, due to the growing need of new antibiotic substances, this medicinal plant would represent an important source for the investigation of antibacterial activity due to the wide medicinal potential of its genus, property that can be analyzed through its chemical fingerprint profile. The objectives of this research were, to develop a predictive model for the antibacterial potential of the genus Hypericum using chromatographic fingerprinting with three Hypericum species collected at Ecuadorian Andes ( H. laricifolium, H. quitense R. Keller and H. decandrum Turcz); and to evaluate the influence of natural variables such as altitude and soil composition on the pharmacological effect of lipophilic extracts of H. laricifolium . Antibacterial activity of the plants extracts was assessed by plate microdilution technique against Methicillin-resistant Staphylococcus aureus (MRSA). The fingerprint was obtained by HPLC-DAD. The predictive model was constructed from the chromatographic fingerprint of H. laricifolium and H. quitense and their IC50 values using the "Partial least squares" multivariate analysis tool. Using the regression coefficients of the model, the predictive equation of antibacterial activity for new samples of H. decandrum was established. The extracts of H. laricifolium exhibited a high antibacterial activity with the pH and the organic matter as main factors influencing the activity. The prediction model obtained did not have predictive ability to different Hypericum species, which could be explained by differences in the chemical composition of the three species.