? Metabolism Core The Metabolism Core provides state-of-the-art, cost-effective, centralized analytical services to ongoing funded and pilot nutrition-obesity research projects for assessment of human body composition, body fat distribution, energy expenditure, and substrate metabolism. Toward this end, the Core maintains instruments, collects and provides quality control data, maintains and offers a web-based scheduling system, and provides staffing by trained technical personnel for a broad suite of measures and services that can accommodate the needs of small pilot studies and student projects up to large R01-level protocols. In addition, the Metabolism Core promotes multi-disciplinary research and training in clinical nutrition and obesity across the UAB campus, and offers training, advice, and instruction to students, fellows, and faculty. Lastly, the Metabolism Core contributes to the development, evolution, and expansion of methodology in fields of nutrition and obesity at UAB by implementing new technology and validating existing methodology in specific populations.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK056336-18
Application #
9709260
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
Budget Start
2019-06-01
Budget End
2020-05-31
Support Year
18
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Alabama Birmingham
Department
Type
DUNS #
063690705
City
Birmingham
State
AL
Country
United States
Zip Code
35294
Ejima, K; Pavela, G; Li, P et al. (2018) Generalized lambda distribution for flexibly testing differences beyond the mean in the distribution of a dependent variable such as body mass index. Int J Obes (Lond) 42:930-933
Watanabe, Louis P; Riddle, Nicole C (2018) Measuring Exercise Levels in Drosophila melanogaster Using the Rotating Exercise Quantification System (REQS). J Vis Exp :
Buford, Thomas W; Carter, Christy S; VanDerPol, William J et al. (2018) Composition and richness of the serum microbiome differ by age and link to systemic inflammation. Geroscience 40:257-268
Smith Jr, D L; Thomas, D M; Siu, C O et al. (2018) Regression to the mean, apparent data errors and biologically extraordinary results: letter regarding 'changes in telomere length 3-5 years after gastric bypass surgery'. Int J Obes (Lond) 42:949-950
George, Brandon J; Li, Peng; Lieberman, Harris R et al. (2018) Randomization to randomization probability: Estimating treatment effects under actual conditions of use. Psychol Methods 23:337-350
Ejima, Keisuke; Thomas, Diana M; Allison, David B (2018) A Mathematical Model for Predicting Obesity Transmission with Both Genetic and Nongenetic Heredity. Obesity (Silver Spring) 26:927-933
Dhurandhar, Emily J; Pavela, Gregory; Kaiser, Kathryn A et al. (2018) Body Mass Index and Subjective Social Status: The Coronary Artery Risk Development in Young Adults Study. Obesity (Silver Spring) 26:426-431
Schneider, C R; Biggio, J R; Chandler-Laney, P C (2018) Association of early pregnancy body mass index with post-partum weight change among African-American women. Clin Obes 8:170-175
Kim, Teayoun; Nason, Shelly; Holleman, Cassie et al. (2018) Glucagon Receptor Signaling Regulates Energy Metabolism via Hepatic Farnesoid X Receptor and Fibroblast Growth Factor 21. Diabetes 67:1773-1782
Borges, Juliano H; Carter, Stephen J; Singh, Harshvardhan et al. (2018) Inverse relationship between changes of maximal aerobic capacity and changes in walking economy after weight loss. Eur J Appl Physiol :

Showing the most recent 10 out of 730 publications