The objective of the Energy Balance Core Laboratory (hereafter referred to as the Core) is to provide expertise and state-of-the-science instrumentation and techniques for measuring aspects of energy balance for obesity- and nutrition-related basic, clinical, translational, and multi-disciplinary research at the UCD and its affiliates. The services of the Core have been essential for a large number of investigators in the CNRU research base. Because many of the studies supported in the past 5 years involved obesity research, the transition from CNRU to NORC will occur seamlessly and the new title of the Center will more accurately describe the research base that has been supported. The consolidation of the instruments and techniques used by multiple investigators in the Core laboratories is desirable because of the high cost of some of the equipment and the extensive training and expertise of personnel required to appropriately operate and maintain the equipment. There are many sophisticated tools available for measuring components of energy balance. The Core Laboratory was established to ensure that CNRU investigators have access to the best possible tools and techniques for studying energy balance. The Core provides help to investigators in choosing the method that is most appropriate for the intent and scope of their research. For example, the wholeroom calorimeter is a highly accurate tool for measuring energy expenditure. However, its use requires careful measurement of nutrient intake and control and measurement of energy expenditure and physical activity before subjects enter the calorimeter. Because this is not feasible or necessary for many studies, a metabolic cart can often provide the needed information with less commitment of time and resources. Several investigators who requested use of the whole-room calorimeter ended up using a metabolic cart at much lower cost to obtain the information they required.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK048520-20
Application #
8730599
Study Section
Special Emphasis Panel (ZDK1-GRB-2)
Project Start
Project End
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
20
Fiscal Year
2014
Total Cost
$279,633
Indirect Cost
$93,117
Name
University of Colorado Denver
Department
Type
DUNS #
041096314
City
Aurora
State
CO
Country
United States
Zip Code
80045
Hazegh, Kelsey E; Nemkov, Travis; D'Alessandro, Angelo et al. (2018) Correction: An autonomous metabolic role for Spen. PLoS Genet 14:e1007266
Nigg, Claudio R; Kutchman, Eve; Amato, Katie et al. (2018) Recess environment and curriculum intervention on children's physical activity: IPLAY. Transl Behav Med :
Santoro, Nanette (2018) Polycystic ovary syndrome and mental health: a call to action. Fertil Steril 109:799
Daniels, Stephen R (2018) What Is the Prevalence of Childhood Hypertension?: It Depends on the Definition. JAMA Pediatr 172:519-520
Wahl, Matthew P; Scalzo, Rebecca L; Regensteiner, Judith G et al. (2018) Mechanisms of Aerobic Exercise Impairment in Diabetes: A Narrative Review. Front Endocrinol (Lausanne) 9:181
Nokoff, Natalie J; Scarbro, Sharon; Juarez-Colunga, Elizabeth et al. (2018) Health and Cardiometabolic Disease in Transgender Adults in the United States: Behavioral Risk Factor Surveillance System 2015. J Endocr Soc 2:349-360
Wang, Dong; Luo, Yuhuan; Wang, Xiaoxin et al. (2018) The Sodium-Glucose Cotransporter 2 Inhibitor Dapagliflozin Prevents Renal and Liver Disease in Western Diet Induced Obesity Mice. Int J Mol Sci 19:
Magnuson, Aaron M; Fouts, Josephine K; Regan, Daniel P et al. (2018) Adipose tissue extrinsic factor: Obesity-induced inflammation and the role of the visceral lymph node. Physiol Behav 190:71-81
Rossman, Matthew J; Santos-Parker, Jessica R; Steward, Chelsea A C et al. (2018) Chronic Supplementation With a Mitochondrial Antioxidant (MitoQ) Improves Vascular Function in Healthy Older Adults. Hypertension 71:1056-1063
McCulloch, Alan F; Jauregui, Ruy; Maclean, Paul H et al. (2018) An entropy-reducing data representation approach for bioinformatic data. Database (Oxford) 2018:

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