Tesis
Validación de un software que permita predecir la actividad ansiolítica en un modelo biológico (Mus musculus)
Fecha
2020-08-28Registro en:
Cazorla Lata, Katherine Angélica. (2020). Validación de un software que permita predecir la actividad ansiolítica en un modelo biológico (Mus musculus). Escuela Superior Politécnica de Chimborazo. Riobamba.
Autor
Cazorla Lata, Katherine Angélica
Resumen
The objective of the work was to validate a Software that allows predicting anxiolytic activity in a biological model (Mus musculus), to carry out the study 6 groups of 5 male rodents each with an age of 2-3 months and with a weight of 30g; the rodents were assigned and subjected to different treatments: White rodent group that was not subjected to stress, Control (+) rodent that was stressed and clonazepam was administered, Control (-) stressed rodent but no treatment was administered and the rest of the groups They were treated with hydroalcoholic extracts of: Lavender, Guava and Pataconyuyo at 200 ppm. For the evaluation and measurement of the anxiolytic activity, equipment such as: Elevated cross maze, light-dark room and Open field were used, for the processing of videos and data collection, the applications EMIS "for Open Field" and ITOPI "were used to Light-Dark Room”, and “Elevated Cross Labyrinth”. For the statistical analysis, the IBM SPSS statistics v21 program was used, the data obtained were later compared with those issued by the Software to be validated (Anxiolytic Lab). It was concluded that the Software emits data statistically similar to those obtained manually in each of the measurement parameters, it was also able to analyze the normal distribution and homogeneity of variances, the statistical tests used by the program meet stricter parameters therefore both the Software emits real and reliable results. It is recommended to use this work as a basis for future work to improve validated Software as well as for the measurement of anxiolytic activity in different plant species.