Cargando…
Optimization and Validation of a Microscale In vitro Method to Assess α-Glucosidase Inhibition Activity
BACKGROUND: Microscale in vitro assays are fast, simple, and inexpensive, with reduced reagent quantities, waste, and experimental animal use. However, they have low reproducibility and low correlation with the results of in vivo models, possibly due to differences in precision and accuracy in metho...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142409/ https://www.ncbi.nlm.nih.gov/pubmed/30294249 http://dx.doi.org/10.2174/1573411013666170911154755 |
_version_ | 1783355854756511744 |
---|---|
author | Granados-Guzmán, Graciela Castro-Ríos, Rocío Waksman de Torres, Noemí Salazar-Aranda, Ricardo |
author_facet | Granados-Guzmán, Graciela Castro-Ríos, Rocío Waksman de Torres, Noemí Salazar-Aranda, Ricardo |
author_sort | Granados-Guzmán, Graciela |
collection | PubMed |
description | BACKGROUND: Microscale in vitro assays are fast, simple, and inexpensive, with reduced reagent quantities, waste, and experimental animal use. However, they have low reproducibility and low correlation with the results of in vivo models, possibly due to differences in precision and accuracy in methodologies between laboratories. OBJECTIVE: The objective was the optimization and validation of an in vitro assay, carried out on microscale, to assess the inhibition of α-glucosidase activity, which is indicative of antihyperglycemic activity. METHODS: The optimization was carried out using a fractional factorial design taking into account the best inhibition percentage and the absorbance of the controls. With the optimized experimental conditions in hand, we carried out method validation. RESULTS: The optimized conditions were as follows: enzyme concentration, 0.55 U/mL; substrate concentration, 111.5 μM; and 17.5 min incubation at 37°C. A linear range between 100 and 310.2 μg/mL of acarbose (r2 0.994) was established. The RSD was <2% and the % error was <3%. The Z factor was >0.96. This method was applied to four plant extracts, one of which was found to be very active. CONCLUSION: The method was found to be accurate, precise, selective, linear, and reliable in evaluating the antihyperglycemic activity of natural extracts in vitro. |
format | Online Article Text |
id | pubmed-6142409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-61424092018-10-04 Optimization and Validation of a Microscale In vitro Method to Assess
α-Glucosidase Inhibition Activity Granados-Guzmán, Graciela Castro-Ríos, Rocío Waksman de Torres, Noemí Salazar-Aranda, Ricardo Curr Anal Chem Article BACKGROUND: Microscale in vitro assays are fast, simple, and inexpensive, with reduced reagent quantities, waste, and experimental animal use. However, they have low reproducibility and low correlation with the results of in vivo models, possibly due to differences in precision and accuracy in methodologies between laboratories. OBJECTIVE: The objective was the optimization and validation of an in vitro assay, carried out on microscale, to assess the inhibition of α-glucosidase activity, which is indicative of antihyperglycemic activity. METHODS: The optimization was carried out using a fractional factorial design taking into account the best inhibition percentage and the absorbance of the controls. With the optimized experimental conditions in hand, we carried out method validation. RESULTS: The optimized conditions were as follows: enzyme concentration, 0.55 U/mL; substrate concentration, 111.5 μM; and 17.5 min incubation at 37°C. A linear range between 100 and 310.2 μg/mL of acarbose (r2 0.994) was established. The RSD was <2% and the % error was <3%. The Z factor was >0.96. This method was applied to four plant extracts, one of which was found to be very active. CONCLUSION: The method was found to be accurate, precise, selective, linear, and reliable in evaluating the antihyperglycemic activity of natural extracts in vitro. Bentham Science Publishers 2018-10 2018-10 /pmc/articles/PMC6142409/ /pubmed/30294249 http://dx.doi.org/10.2174/1573411013666170911154755 Text en © 2018 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Granados-Guzmán, Graciela Castro-Ríos, Rocío Waksman de Torres, Noemí Salazar-Aranda, Ricardo Optimization and Validation of a Microscale In vitro Method to Assess α-Glucosidase Inhibition Activity |
title | Optimization and Validation of a Microscale In vitro Method to Assess
α-Glucosidase Inhibition Activity |
title_full | Optimization and Validation of a Microscale In vitro Method to Assess
α-Glucosidase Inhibition Activity |
title_fullStr | Optimization and Validation of a Microscale In vitro Method to Assess
α-Glucosidase Inhibition Activity |
title_full_unstemmed | Optimization and Validation of a Microscale In vitro Method to Assess
α-Glucosidase Inhibition Activity |
title_short | Optimization and Validation of a Microscale In vitro Method to Assess
α-Glucosidase Inhibition Activity |
title_sort | optimization and validation of a microscale in vitro method to assess
α-glucosidase inhibition activity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142409/ https://www.ncbi.nlm.nih.gov/pubmed/30294249 http://dx.doi.org/10.2174/1573411013666170911154755 |
work_keys_str_mv | AT granadosguzmangraciela optimizationandvalidationofamicroscaleinvitromethodtoassessaglucosidaseinhibitionactivity AT castroriosrocio optimizationandvalidationofamicroscaleinvitromethodtoassessaglucosidaseinhibitionactivity AT waksmandetorresnoemi optimizationandvalidationofamicroscaleinvitromethodtoassessaglucosidaseinhibitionactivity AT salazararandaricardo optimizationandvalidationofamicroscaleinvitromethodtoassessaglucosidaseinhibitionactivity |