Cited 19 time in webofscience Cited 20 time in scopus

Application of combined omics platforms to accelerate biomedical discovery in diabesity

Title
Application of combined omics platforms to accelerate biomedical discovery in diabesity
Authors
Kurland, Irwin J.Accili, DomenicoBurant, CharlesFischer, Steven M.Kahn, Barbara B.Newgard, Christopher B.Ramagiri, SumaRonnett, Gabriele V.Ryals, John A.Sanders, MarkShambaugh, JoeShockcor, JohnGross, Steven S.
DGIST Authors
Kahn, Barbara B.
Issue Date
2013
Citation
Annals Meeting Reports, 1287, 1-16
Type
Article
Article Type
Article
Keywords
TANDEM MASS-SPECTROMETRYDECREASES FOOD-INTAKEINSULIN-RESISTANCEGENE-EXPRESSIONUNTARGETED METABOLOMICSENERGY-EXPENDITUREGLUCOSE DISPOSALAMINO-ACIDSMETABOLISMASSOCIATION
ISSN
0077-8923
Abstract
Diabesity has become a popular term to describe the specific form of diabetes that develops late in life and is associated with obesity. While there is a correlation between diabetes and obesity, the association is not universally predictive. Defining the metabolic characteristics of obesity that lead to diabetes, and how obese individuals who develop diabetes different from those who do not, are important goals. The use of large-scale omics analyses (e.g., metabolomic, proteomic, transcriptomic, and lipidomic) of diabetes and obesity may help to identify new targets to treat these conditions. This report discusses how various types of omics data can be integrated to shed light on the changes in metabolism that occur in obesity and diabetes. © 2013 New York Academy of Sciences.
URI
http://hdl.handle.net/20.500.11750/2504
DOI
10.1111/nyas.12116
Publisher
Blackwell Science Publ
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