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Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity

Glucose ingestion after an overnight fast triggers an insulin-dependent, homeostatic program that is altered in diabetes. The full spectrum of biochemical changes associated with this transition is currently unknown. We have developed a mass spectrometry-based strategy to simultaneously measure 191...

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Autores principales: Shaham, Oded, Wei, Ru, Wang, Thomas J, Ricciardi, Catherine, Lewis, Gregory D, Vasan, Ramachandran S, Carr, Steven A, Thadhani, Ravi, Gerszten, Robert E, Mootha, Vamsi K
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2538910/
https://www.ncbi.nlm.nih.gov/pubmed/18682704
http://dx.doi.org/10.1038/msb.2008.50
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author Shaham, Oded
Wei, Ru
Wang, Thomas J
Ricciardi, Catherine
Lewis, Gregory D
Vasan, Ramachandran S
Carr, Steven A
Thadhani, Ravi
Gerszten, Robert E
Mootha, Vamsi K
author_facet Shaham, Oded
Wei, Ru
Wang, Thomas J
Ricciardi, Catherine
Lewis, Gregory D
Vasan, Ramachandran S
Carr, Steven A
Thadhani, Ravi
Gerszten, Robert E
Mootha, Vamsi K
author_sort Shaham, Oded
collection PubMed
description Glucose ingestion after an overnight fast triggers an insulin-dependent, homeostatic program that is altered in diabetes. The full spectrum of biochemical changes associated with this transition is currently unknown. We have developed a mass spectrometry-based strategy to simultaneously measure 191 metabolites following glucose ingestion. In two groups of healthy individuals (n=22 and 25), 18 plasma metabolites changed reproducibly, including bile acids, urea cycle intermediates, and purine degradation products, none of which were previously linked to glucose homeostasis. The metabolite dynamics also revealed insulin's known actions along four key axes—proteolysis, lipolysis, ketogenesis, and glycolysis—reflecting a switch from catabolism to anabolism. In pre-diabetics (n=25), we observed a blunted response in all four axes that correlated with insulin resistance. Multivariate analysis revealed that declines in glycerol and leucine/isoleucine (markers of lipolysis and proteolysis, respectively) jointly provide the strongest predictor of insulin sensitivity. This observation indicates that some humans are selectively resistant to insulin's suppression of proteolysis, whereas others, to insulin's suppression of lipolysis. Our findings lay the groundwork for using metabolic profiling to define an individual's 'insulin response profile', which could have value in predicting diabetes, its complications, and in guiding therapy.
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spelling pubmed-25389102008-09-17 Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity Shaham, Oded Wei, Ru Wang, Thomas J Ricciardi, Catherine Lewis, Gregory D Vasan, Ramachandran S Carr, Steven A Thadhani, Ravi Gerszten, Robert E Mootha, Vamsi K Mol Syst Biol Article Glucose ingestion after an overnight fast triggers an insulin-dependent, homeostatic program that is altered in diabetes. The full spectrum of biochemical changes associated with this transition is currently unknown. We have developed a mass spectrometry-based strategy to simultaneously measure 191 metabolites following glucose ingestion. In two groups of healthy individuals (n=22 and 25), 18 plasma metabolites changed reproducibly, including bile acids, urea cycle intermediates, and purine degradation products, none of which were previously linked to glucose homeostasis. The metabolite dynamics also revealed insulin's known actions along four key axes—proteolysis, lipolysis, ketogenesis, and glycolysis—reflecting a switch from catabolism to anabolism. In pre-diabetics (n=25), we observed a blunted response in all four axes that correlated with insulin resistance. Multivariate analysis revealed that declines in glycerol and leucine/isoleucine (markers of lipolysis and proteolysis, respectively) jointly provide the strongest predictor of insulin sensitivity. This observation indicates that some humans are selectively resistant to insulin's suppression of proteolysis, whereas others, to insulin's suppression of lipolysis. Our findings lay the groundwork for using metabolic profiling to define an individual's 'insulin response profile', which could have value in predicting diabetes, its complications, and in guiding therapy. Nature Publishing Group 2008-08-05 /pmc/articles/PMC2538910/ /pubmed/18682704 http://dx.doi.org/10.1038/msb.2008.50 Text en Copyright © 2008, EMBO and Nature Publishing Group http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits distribution and reproduction in any medium, provided the original author and source are credited. This licence does not permit commercial exploitation or the creation of derivative works without specific permission.
spellingShingle Article
Shaham, Oded
Wei, Ru
Wang, Thomas J
Ricciardi, Catherine
Lewis, Gregory D
Vasan, Ramachandran S
Carr, Steven A
Thadhani, Ravi
Gerszten, Robert E
Mootha, Vamsi K
Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity
title Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity
title_full Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity
title_fullStr Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity
title_full_unstemmed Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity
title_short Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity
title_sort metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2538910/
https://www.ncbi.nlm.nih.gov/pubmed/18682704
http://dx.doi.org/10.1038/msb.2008.50
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