Studies of the molecular physiology and genetics of body weight regulation are increasingly dependent upon highly sensitive and accurate measurements of energy expenditure, body composition, adipose tissue biology, ingestive behaviors and brain imaging, as are the analyses of prophylactic and therapeutic interventions. Hence, the current Human Phenotyping Core (HPC) and affiliated laboratories are critical resources in the NYONRC's (and NIH's) commitment to advance understanding of the pathogenesis of obesity. The combined HPC resources are unique to the NYONRC, and the laboratories attract students and visiting scientists at all levels from around the world. The use of the HPC laboratory by Members/Users continues to grow. The HPC has provided consultative advice to investigators on phenotypes to be measured and the interpretation of these tests. The HPC has a large training function and is therefore highly responsive to the needs of Members and allows for greater productivity at lesser cost for them. The Research Base includes a large group of federally funded investigators who require the methodologies offered in the HPC to conduct their studies. The facilities and services provided by this Core are unique and not available commercially or to the individual Core users (reasons include too costly, too labor-intensive, or too specialized). During this current cycle, 18 investigators with support from 18 NIH grants that included 3 NYONRC Pilot & Feasibility awards submitted 9000 Core service requests, which were met, contributing to 108 peer-reviewed publications and the generation of 21 grant applications (14 funded and 7 pending). The overall objective of the HPC is to enhance and expand the research capabilities of investigators performing clinical and translational studies in humans related to obesity and eating disorders and their related physiological/medical phenotypes.
The Specific Aims of the HPC are to: 1) Make available to Center members specialized measurements in body composition, energy expenditure, imaging & analysis, and adipose tissue analysis in human subjects; 2) Provide investigators with consultation/advice in determining which methods or combination of methods are best suited to their needs based on the scientific questions in the context of budgetary constraints; 3) Provide a setting in which instruction in these technologies and strategies can be provided to students, postdoctoral research fellows, and interested scientists; 4) Sponsor and participate in the conduct of periodic seminars on state-of-the-art body composition, energy expenditure, sleep physiology, imaging analysis, adipose tissue analysis, with ultimate emphasis on those aspects of greatest relevance to the problem of human obesity; 5) Provide reduced-cost access to these technologies to NYONRC Pilot and Feasibility recipients and post-doctoral fellows; 6) Advance/develop non-invasive, in-vivo methodology for body composition and energy expenditure measurements in infants, children, and adults.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK026687-38
Application #
9473759
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
Budget Start
2018-04-01
Budget End
2019-03-31
Support Year
38
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Columbia University (N.Y.)
Department
Type
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Heymsfield, S B; Peterson, C M; Bourgeois, B et al. (2018) Human energy expenditure: advances in organ-tissue prediction models. Obes Rev 19:1177-1188
Shah, Ankit; Levesque, Kiarra; Pierini, Esmeralda et al. (2018) Effect of sitagliptin on glucose control in type 2 diabetes mellitus after Roux-en-Y gastric bypass surgery. Diabetes Obes Metab 20:1018-1023
Hayden, Kathleen M; Baker, Laura D; Bray, George et al. (2018) Long-term impact of intensive lifestyle intervention on cognitive function assessed with the National Institutes of Health Toolbox: The Look AHEAD study. Alzheimers Dement (Amst) 10:41-48
Shechter, Ari; Schwartz, Gary J (2018) Gut-brain nutrient sensing in food reward. Appetite 122:32-35
Rosenbaum, Michael; Leibel, Rudolph L (2018) Physiological responses to leptin levels in lipodystrophy: a model for other hypoleptinemias? J Clin Invest 128:3237-3239
Toledo, Miriam; Batista-Gonzalez, Ana; Merheb, Emilio et al. (2018) Autophagy Regulates the Liver Clock and Glucose Metabolism by Degrading CRY1. Cell Metab 28:268-281.e4
Pizinger, Theresa; Kovtun, Kyle; RoyChoudhury, Arindam et al. (2018) Pilot study of sleep and meal timing effects, independent of sleep duration and food intake, on insulin sensitivity in healthy individuals. Sleep Health 4:33-39
Kissileff, H R; Herzog, M (2018) Progressive ratio (PR) schedules and the sipometer: Do they measure wanting, liking, and/or reward? A tribute to Anthony Sclafani and Karen Ackroff. Appetite 122:44-50
Pan, Xiaoyue; Schwartz, Gary J; Hussain, M Mahmood (2018) Oleoylethanolamide differentially regulates glycerolipid synthesis and lipoprotein secretion in intestine and liver. J Lipid Res 59:2349-2359
Davidson, Lance E; Yu, Wen; Goodpaster, Bret H et al. (2018) Fat-Free Mass and Skeletal Muscle Mass Five Years After Bariatric Surgery. Obesity (Silver Spring) 26:1130-1136

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