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In Vitro Assessment Methods for Antidiabetic Peptides from Legumes: A Review
Almost 65% of the human protein supply in the world originates from plants, with legumes being one of the highest contributors, comprising between 20 and 40% of the protein supply. Bioactive peptides from various food sources including legumes have been reported to show efficacy in modulating starch...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914741/ https://www.ncbi.nlm.nih.gov/pubmed/36766167 http://dx.doi.org/10.3390/foods12030631 |
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author | Rahmi, Alia Arcot, Jayashree |
author_facet | Rahmi, Alia Arcot, Jayashree |
author_sort | Rahmi, Alia |
collection | PubMed |
description | Almost 65% of the human protein supply in the world originates from plants, with legumes being one of the highest contributors, comprising between 20 and 40% of the protein supply. Bioactive peptides from various food sources including legumes have been reported to show efficacy in modulating starch digestion and glucose absorption. This paper will provide a comprehensive review on recent in vitro studies that have been performed on leguminous antidiabetic peptides, focusing on the α-amylase inhibitor, α-glucosidase inhibitor, and dipeptidyl peptidase-IV (DPP-IV) inhibitor. Variations in legume cultivars and methods affect the release of peptides. Different methods have been used, such as in sample preparation, including fermentation (t, T), germination (t), and pre-cooking; in protein extraction, alkaline extraction, isoelectric precipitation, phosphate buffer extraction, and water extraction; in protein hydrolysis enzyme types and combination, enzyme substrate ratio, pH, and time; and in enzyme inhibitory assays, positive control type and concentration, inhibitor or peptide concentration, and the unit of inhibitory activity. The categorization of the relative scale of inhibitory activities among legume samples becomes difficult because of these method differences. Peptide sequences in samples were identified by means of HPLC/MS. Software and online tools were used in bioactivity prediction and computational modelling. The identification of the types and locations of chemical interactions between the inhibitor peptides and enzymes and the type of enzyme inhibition were achieved through computational modelling and enzyme kinetic studies. |
format | Online Article Text |
id | pubmed-9914741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99147412023-02-11 In Vitro Assessment Methods for Antidiabetic Peptides from Legumes: A Review Rahmi, Alia Arcot, Jayashree Foods Review Almost 65% of the human protein supply in the world originates from plants, with legumes being one of the highest contributors, comprising between 20 and 40% of the protein supply. Bioactive peptides from various food sources including legumes have been reported to show efficacy in modulating starch digestion and glucose absorption. This paper will provide a comprehensive review on recent in vitro studies that have been performed on leguminous antidiabetic peptides, focusing on the α-amylase inhibitor, α-glucosidase inhibitor, and dipeptidyl peptidase-IV (DPP-IV) inhibitor. Variations in legume cultivars and methods affect the release of peptides. Different methods have been used, such as in sample preparation, including fermentation (t, T), germination (t), and pre-cooking; in protein extraction, alkaline extraction, isoelectric precipitation, phosphate buffer extraction, and water extraction; in protein hydrolysis enzyme types and combination, enzyme substrate ratio, pH, and time; and in enzyme inhibitory assays, positive control type and concentration, inhibitor or peptide concentration, and the unit of inhibitory activity. The categorization of the relative scale of inhibitory activities among legume samples becomes difficult because of these method differences. Peptide sequences in samples were identified by means of HPLC/MS. Software and online tools were used in bioactivity prediction and computational modelling. The identification of the types and locations of chemical interactions between the inhibitor peptides and enzymes and the type of enzyme inhibition were achieved through computational modelling and enzyme kinetic studies. MDPI 2023-02-02 /pmc/articles/PMC9914741/ /pubmed/36766167 http://dx.doi.org/10.3390/foods12030631 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Rahmi, Alia Arcot, Jayashree In Vitro Assessment Methods for Antidiabetic Peptides from Legumes: A Review |
title | In Vitro Assessment Methods for Antidiabetic Peptides from Legumes: A Review |
title_full | In Vitro Assessment Methods for Antidiabetic Peptides from Legumes: A Review |
title_fullStr | In Vitro Assessment Methods for Antidiabetic Peptides from Legumes: A Review |
title_full_unstemmed | In Vitro Assessment Methods for Antidiabetic Peptides from Legumes: A Review |
title_short | In Vitro Assessment Methods for Antidiabetic Peptides from Legumes: A Review |
title_sort | in vitro assessment methods for antidiabetic peptides from legumes: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914741/ https://www.ncbi.nlm.nih.gov/pubmed/36766167 http://dx.doi.org/10.3390/foods12030631 |
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