Cited 21 time in
Cited 23 time in
Application of combined omics platforms to accelerate biomedical discovery in diabesity
- Application of combined omics platforms to accelerate biomedical discovery in diabesity
- Kurland, Irwin J.; Accili, Domenico; Burant, Charles; Fischer, Steven M.; Kahn, Barbara B.; Newgard, Christopher B.; Ramagiri, Suma; Ronnett, Gabriele V.; Ryals, John A.; Sanders, Mark; Shambaugh, Joe; Shockcor, John; Gross, Steven S.
- DGIST Authors
- Kahn, Barbara B.
- Issue Date
- Annals Meeting Reports, 1287, 1-16
- Article Type
- TANDEM MASS-SPECTROMETRY; DECREASES FOOD-INTAKE; INSULIN-RESISTANCE; GENE-EXPRESSION; UNTARGETED METABOLOMICS; ENERGY-EXPENDITURE; GLUCOSE DISPOSAL; AMINO-ACIDS; METABOLISM; ASSOCIATION
- 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.
- Blackwell Science Publ
There are no files associated with this item.
- ETC1. Journal Articles
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.