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dc.contributor.authorShaham, Odeden_US
dc.contributor.authorWei, Ruen_US
dc.contributor.authorWang, Thomas J.en_US
dc.contributor.authorRicciardi, Catherineen_US
dc.contributor.authorLewis, Gregory D.en_US
dc.contributor.authorVasan, Ramachandran S.en_US
dc.contributor.authorCarr, Steven A.en_US
dc.contributor.authorThadhani, Ravien_US
dc.contributor.authorGerszten, Robert E.en_US
dc.contributor.authorMootha, Vamsi K.en_US
dc.date.accessioned2012-01-09T20:58:40Z
dc.date.available2012-01-09T20:58:40Z
dc.date.issued2008-08-05
dc.identifier.citationShaham, Oded, Ru Wei, Thomas J Wang, Catherine Ricciardi, Gregory D Lewis, Ramachandran S Vasan, Steven A Carr, Ravi Thadhani, Robert E Gerszten, Vamsi K Mootha. "Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity" Molecular Systems Biology 4:214. (2008)
dc.identifier.issn1744-4292
dc.identifier.urihttps://hdl.handle.net/2144/2951
dc.description.abstractGlucose 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.en_US
dc.description.sponsorshipBioinformatics and Integrative Genomics Award from National Human Genome Research Institute; National Institutes of Health (R01-HL-086875, R01-HL-083197); Heart Failure Society of America and the Harvard/MIT Clinical Investigator Training Program; National Institutes of Health (U01HL083141); Donald W Reynolds Foundation and Fondation Leducq; Burroughs Wellcome Career Award in the Biomedical Sciences; Howard Hughes Medical Institute Early Career Physician Scientist Award; Broad Institute Scientific Planning and Allocation of Resources Committee; National Institutes of Health (General Clinical Research Center grant); General Clinical Research Center (MO1-RR01066); National Institutes of Health/National Heart Lung and Blood Institute (N01-HC-25195).en_US
dc.language.isoen
dc.publisherNature Publishing Groupen_US
dc.publisherMolecular Systems Biologyen_US
dc.rightsThis 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.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectGlucose homeostasisen_US
dc.subjectInsulin sensitivityen_US
dc.subjectMetabolic profilingen_US
dc.titleMetabolic Profiling of the Human Response to a Glucose Challenge Reveals Distinct Axes of Insulin Sensitivityen_US
dc.typeArticleen_US
dc.identifier.doi10.1038/msb.2008.50
dc.identifier.pmid18682704
dc.identifier.pmcid2538910


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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.
Except where otherwise noted, this item's license is described as 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.