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      A Metabolomic Approach to Understanding the Metabolic Link between Obesity and Diabetes

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          Abstract

          Obesity and diabetes arise from an intricate interplay between both genetic and environmental factors. It is well recognized that obesity plays an important role in the development of insulin resistance and diabetes. Yet, the exact mechanism of the connection between obesity and diabetes is still not completely understood. Metabolomics is an analytical approach that aims to detect and quantify small metabolites. Recently, there has been an increased interest in the application of metabolomics to the identification of disease biomarkers, with a number of well-known biomarkers identified. Metabolomics is a potent approach to unravel the intricate relationships between metabolism, obesity and progression to diabetes and, at the same time, has potential as a clinical tool for risk evaluation and monitoring of disease. Moreover, metabolomics applications have revealed alterations in the levels of metabolites related to obesity-associated diabetes. This review focuses on the part that metabolomics has played in elucidating the roles of metabolites in the regulation of systemic metabolism relevant to obesity and diabetes. It also explains the possible metabolic relation and association between the two diseases. The metabolites with altered profiles in individual disorders and those that are specifically and similarly altered in both disorders are classified, categorized and summarized.

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          Metabolomics by numbers: acquiring and understanding global metabolite data.

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            The genome sequence of the yeast Saccharomyces cerevisiae has provided the first complete inventory of the working parts of a eukaryotic cell. The challenge is now to discover what each of the gene products does and how they interact in a living yeast cell. Systematic and comprehensive approaches to the elucidation of yeast gene function are discussed and the prospects for the functional genomics of eukaryotic organisms evaluated.
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                Author and article information

                Journal
                Mol Cells
                Mol. Cells
                ksmcb
                Molecules and Cells
                Korean Society for Molecular and Cellular Biology
                1016-8478
                0219-1032
                31 July 2015
                15 June 2015
                15 June 2015
                : 38
                : 7
                : 587-596
                Affiliations
                [1 ]Department of Brain & Cognitive Sciences, Daegu Gyeongbuk Institute of Science & Technology, Daegu 711-873, Korea
                [2 ]Neurometabolomics Research Center, Daegu Gyeongbuk Institute of Science & Technology, Daegu 711-873, Korea
                Author notes
                [3]

                These authors contributed equally to this work.

                [* ]Correspondence: ekkim@ 123456dgist.ac.kr
                Article
                molce-38-7-587
                10.14348/molcells.2015.0126
                4507023
                26072981
                c929dfce-7e16-4aa0-a94e-324346cfe8f7
                © The Korean Society for Molecular and Cellular Biology. All rights reserved.

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/.

                History
                : 15 May 2015
                : 22 May 2015
                : 26 May 2015
                Categories
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                biomarkers,diabetes,metabolites,metabolomics,obesity
                biomarkers, diabetes, metabolites, metabolomics, obesity

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