4.5 Review

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

Journal

MOLECULES AND CELLS
Volume 38, Issue 7, Pages 587-596

Publisher

KOREAN SOC MOLECULAR & CELLULAR BIOLOGY
DOI: 10.14348/molcells.2015.0126

Keywords

biomarkers; diabetes; metabolites; metabolomics; obesity

Funding

  1. National Research Foundation [2013M3C7A1056099, 2012M3A9C6049935]
  2. DGIST R&D Program of the Ministry of Science, Information and Communication Technology, and Future Planning [15-BD-0402]
  3. National Research Foundation of Korea [2013M3C7A1056099] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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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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