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

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.Graphical abstract
Source: Phytochemistry Letters - Category: Chemistry Source Type: research