The Animal Models Core (AMC) provides specialized expertise in the use of animal models and state-of-the-art instrumentation to facilitate animal research related to nutrifion and obesity. The AMC is a unique resource for investigators with services and resources offered not available elsewhere on campus.
The Specific Aims of the Core are: Table of Contents 1. Introduction and Summary of Productivity 2. Rationale and Strategy 3. Administrative Structure and Personnel 4. Core Services 5. Core Management 6. Training and Educafion 7. Future Directions 8. Human Subjects 9. Animal Welfare 10. Literature Cited 1. To provide expertise in the use of animals models for nutrition/ot)esity research;2. To provide state-of-the-art instrumentation and methodology for the determinafion of energy balance (food intake, energy expenditure, activity, and core body temperature);3. To provide state-of-the-art instrumentafion and methodology for the determination of body composifion (dual energy X-ray absorptiometry, quantitative magnetic resonance, and microcomputed tomography);4. To provide cost-efficient services to Core users;and 5. To promote interactions among investigators and to provide training in animal models and phenotyping methods.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK056336-13
Application #
8668930
Study Section
Special Emphasis Panel (ZDK1-GRB-2)
Project Start
Project End
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
13
Fiscal Year
2014
Total Cost
$156,465
Indirect Cost
$49,663
Name
University of Alabama Birmingham
Department
Type
DUNS #
063690705
City
Birmingham
State
AL
Country
United States
Zip Code
35294
Dhurandhar, N V; Schoeller, D; Brown, A W et al. (2015) Energy balance measurement: when something is not better than nothing. Int J Obes (Lond) 39:1109-13
Pavela, Greg; Wiener, Howard; Fontaine, Kevin R et al. (2015) Packet randomized experiments for eliminating classes of confounders. Eur J Clin Invest 45:45-55
Casazza, Krista; Brown, Andrew; Astrup, Arne et al. (2015) Weighing the Evidence of Common Beliefs in Obesity Research. Crit Rev Food Sci Nutr 55:2014-53
Belyaeva, Olga V; Chang, Chenbei; Berlett, Michael C et al. (2015) Evolutionary origins of retinoid active short-chain dehydrogenases/reductases of SDR16C family. Chem Biol Interact 234:135-43
Dutton, G R; Fontaine, K R; Alcorn, A S et al. (2015) Randomized controlled trial examining expectancy effects on the accuracy of weight measurement. Clin Obes 5:38-41
Lewis, Dwight W; Dutton, Gareth R; Affuso, Olivia (2015) Physical characteristics associated with weight misperception among overweight and obese men: NHANES 1999-2006. Obesity (Silver Spring) 23:242-7
Hunter, Gary R; Neumeier, William H; Bickel, C Scott et al. (2014) Arterial elasticity, strength, fatigue, and endurance in older women. Biomed Res Int 2014:501754
Young, Martin E; Brewer, Rachel A; Peliciari-Garcia, Rodrigo A et al. (2014) Cardiomyocyte-specific BMAL1 plays critical roles in metabolism, signaling, and maintenance of contractile function of the heart. J Biol Rhythms 29:257-76
Mattson, Mark P; Allison, David B; Fontana, Luigi et al. (2014) Meal frequency and timing in health and disease. Proc Natl Acad Sci U S A 111:16647-53
Chandler-Laney, Paula C; Morrison, Shannon A; Goree, Laura Lee T et al. (2014) Return of hunger following a relatively high carbohydrate breakfast is associated with earlier recorded glucose peak and nadir. Appetite 80:236-41

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