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Identification of Differential Responses to an Oral Glucose Tolerance Test in Healthy Adults

BACKGROUND: In recent years an individual’s ability to respond to an acute dietary challenge has emerged as a measure of their biological flexibility. Analysis of such responses has been proposed to be an indicator of health status. However, for this to be fully realised further work on differential...

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Autores principales: Morris, Ciara, O’Grada, Colm, Ryan, Miriam, Roche, Helen M., Gibney, Michael J., Gibney, Eileen R., Brennan, Lorraine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749984/
https://www.ncbi.nlm.nih.gov/pubmed/23991163
http://dx.doi.org/10.1371/journal.pone.0072890
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author Morris, Ciara
O’Grada, Colm
Ryan, Miriam
Roche, Helen M.
Gibney, Michael J.
Gibney, Eileen R.
Brennan, Lorraine
author_facet Morris, Ciara
O’Grada, Colm
Ryan, Miriam
Roche, Helen M.
Gibney, Michael J.
Gibney, Eileen R.
Brennan, Lorraine
author_sort Morris, Ciara
collection PubMed
description BACKGROUND: In recent years an individual’s ability to respond to an acute dietary challenge has emerged as a measure of their biological flexibility. Analysis of such responses has been proposed to be an indicator of health status. However, for this to be fully realised further work on differential responses to nutritional challenge is needed. This study examined whether metabolic phenotyping could identify differential responders to an oral glucose tolerance test (OGTT) and examined the phenotypic basis of the response. METHODS AND RESULTS: A total of 214 individuals were recruited and underwent challenge tests in the form of an OGTT and an oral lipid tolerance test (OLTT). Detailed biochemical parameters, body composition and fitness tests were recorded. Mixed model clustering was employed to define 4 metabotypes consisting of 4 different responses to an OGTT. Cluster 1 was of particular interest, with this metabotype having the highest BMI, triacylglycerol, hsCRP, c-peptide, insulin and HOMA- IR score and lowest VO(2max). Cluster 1 had a reduced beta cell function and a differential response to insulin and c-peptide during an OGTT. Additionally, cluster 1 displayed a differential response to the OLTT. CONCLUSIONS: This work demonstrated that there were four distinct metabolic responses to the OGTT. Classification of subjects based on their response curves revealed an “at risk” metabolic phenotype.
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spelling pubmed-37499842013-08-29 Identification of Differential Responses to an Oral Glucose Tolerance Test in Healthy Adults Morris, Ciara O’Grada, Colm Ryan, Miriam Roche, Helen M. Gibney, Michael J. Gibney, Eileen R. Brennan, Lorraine PLoS One Research Article BACKGROUND: In recent years an individual’s ability to respond to an acute dietary challenge has emerged as a measure of their biological flexibility. Analysis of such responses has been proposed to be an indicator of health status. However, for this to be fully realised further work on differential responses to nutritional challenge is needed. This study examined whether metabolic phenotyping could identify differential responders to an oral glucose tolerance test (OGTT) and examined the phenotypic basis of the response. METHODS AND RESULTS: A total of 214 individuals were recruited and underwent challenge tests in the form of an OGTT and an oral lipid tolerance test (OLTT). Detailed biochemical parameters, body composition and fitness tests were recorded. Mixed model clustering was employed to define 4 metabotypes consisting of 4 different responses to an OGTT. Cluster 1 was of particular interest, with this metabotype having the highest BMI, triacylglycerol, hsCRP, c-peptide, insulin and HOMA- IR score and lowest VO(2max). Cluster 1 had a reduced beta cell function and a differential response to insulin and c-peptide during an OGTT. Additionally, cluster 1 displayed a differential response to the OLTT. CONCLUSIONS: This work demonstrated that there were four distinct metabolic responses to the OGTT. Classification of subjects based on their response curves revealed an “at risk” metabolic phenotype. Public Library of Science 2013-08-22 /pmc/articles/PMC3749984/ /pubmed/23991163 http://dx.doi.org/10.1371/journal.pone.0072890 Text en © 2013 Morris et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Morris, Ciara
O’Grada, Colm
Ryan, Miriam
Roche, Helen M.
Gibney, Michael J.
Gibney, Eileen R.
Brennan, Lorraine
Identification of Differential Responses to an Oral Glucose Tolerance Test in Healthy Adults
title Identification of Differential Responses to an Oral Glucose Tolerance Test in Healthy Adults
title_full Identification of Differential Responses to an Oral Glucose Tolerance Test in Healthy Adults
title_fullStr Identification of Differential Responses to an Oral Glucose Tolerance Test in Healthy Adults
title_full_unstemmed Identification of Differential Responses to an Oral Glucose Tolerance Test in Healthy Adults
title_short Identification of Differential Responses to an Oral Glucose Tolerance Test in Healthy Adults
title_sort identification of differential responses to an oral glucose tolerance test in healthy adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749984/
https://www.ncbi.nlm.nih.gov/pubmed/23991163
http://dx.doi.org/10.1371/journal.pone.0072890
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