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

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          Abstract

          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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          Most cited references22

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          Selective versus total insulin resistance: a pathogenic paradox.

          Mice with type 2 diabetes manifest selective hepatic insulin resistance: insulin fails to suppress gluconeogenesis but continues to activate lipogenesis, producing the deadly combination of hyperglycemia and hypertriglyceridemia. In this issue of Cell Metabolism, Biddinger et al. (2008) show that mice with total hepatic insulin resistance exhibit hyperglycemia without hypertriglyceridemia-a state paradoxically less severe than selective insulin resistance.
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            An investigation of coronary heart disease in families. The Framingham offspring study.

            The Framingham Heart Study (FHS) was started in 1948 as a prospective investigation of cardiovascular disease in a cohort of adult men and women. Continuous surveillance of this sample of 5209 subjects has been maintained through biennial physical examinations. In 1971 examinations were begun on the children of the FHS cohort. This study, called the Framingham Offspring Study (FOS), was undertaken to expand upon knowledge of cardiovascular disease, particularly in the area of familial clustering of the disease and its risk factors. This report reviews the sampling design of the FHS and describes the nature of the FOS sample. The FOS families appear to be of typical size and age structure for families with parents born in the late 19th or early 20th century. In addition, there is little evidence that coronary heart disease (CHD) experience and CHD risk factors differ in parents of those who volunteered for this study and the parents of those who did not volunteer.
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              Diagnosis and classification of diabetes mellitus.

              (2007)
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                Author and article information

                Journal
                Mol Syst Biol
                Molecular Systems Biology
                Nature Publishing Group
                1744-4292
                2008
                05 August 2008
                : 4
                : 214
                Affiliations
                [1 ]Broad Institute of MIT and Harvard, Cambridge, MA, USA
                [2 ]Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA
                [3 ]Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
                [4 ]Framingham Heart Study, National Heart Lung and Blood Institute and Boston University, Framingham, MA, USA
                [5 ]Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
                [6 ]General Clinical Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA
                [7 ]Sections of Cardiology and Preventive Medicine, and the Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA, USA
                [8 ]Renal Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
                [9 ]Center for Immunology & Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
                [10 ]Department of Systems Biology, Harvard Medical School, Boston, MA, USA
                [11 ]Co-senior authors
                Author notes
                [a ]Center for Human Genetic Research, Massachusetts General Hospital, 185 Cambridge Street, CPZN 5-806, Boston, MA 02114, USA. Tel.: +1 617 643 3096; Fax: +1 617 643 2108; vamsi@ 123456hms.harvard.edu
                Article
                msb200850
                10.1038/msb.2008.50
                2538910
                18682704
                350fd7f8-ca9d-43c6-9a5e-4ebd20c425cb
                Copyright © 2008, EMBO and Nature Publishing Group

                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.

                History
                : 18 March 2008
                : 30 June 2008
                Page count
                Pages: 1
                Categories
                Article

                Quantitative & Systems biology
                metabolic profiling,glucose homeostasis,insulin sensitivity
                Quantitative & Systems biology
                metabolic profiling, glucose homeostasis, insulin sensitivity

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