Organizers: Steven Gross (Weill Cornell Medical College), Irwin Kurland (Albert Einstein College of Medicine), and Jennifer Henry (The New York Academy of Sciences)Presented by Hot Topics in Life Sciences and the Sackler Institute for Nutrition Science at the New York Academy of Sciences
Reported by Jennifer Cable | Posted May 25, 2012
Diabesity is becoming a popular term to describe the specific form of diabetes that develops late in life and that is associated with obesity. While there is a correlation between diabetes and obesity, this association is not universally predictive. What characteristics of obesity lead to diabetes, and how are obese individuals who develop diabetes different from those who do not? Furthermore, can large-scale 'omics analyses of diabetes and obesity lead to new targets to treat these conditions? On April 16, 2012, researchers from academia and industry met at the New York Academy of Sciences for the symposium Application of Combined 'Omics Platforms to Accelerate Biomedical Discovery in Diabesity to answer some of these questions. The speakers showed how metabolomic, genomic, proteomic, lipidomic, and other 'omic data can be integrated to shed light on the changes in metabolism that occur in obesity and diabetes and to identify key players in these processes. The seminar was presented by the Academy and the Sackler Institute for Nutrition Science.
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Presentations available from:
Domenico Accili, MD (Columbia University)
Charles Burant, MD, PhD (University of Michigan Medical School)
Irwin Kurland, MD, PhD (Albert Einstein College of Medicine)
Christopher B. Newgard, PhD (Duke University Medical Center)
Gabriele V. Ronnett, MD, PhD (The Johns Hopkins University School of Medicine)
Panel discussion moderated by Irwin Kurland, MD, PhD (Albert Einstein College of Medicine)
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