The Metabolism Core is a state-of-the art facility for assessing human energy expenditure, body composition,? and risk for chronic metabolic disease. It provides expertise, resources, and training in:? ? Energy expenditure (free-living energy expenditure by doubly-labeled water and isotope-ratio mass? spectrometry);? ? Body composition and fat distribution [(underwater weighing and BodPod for measurement of whole? body density; dual-energy X-ray absorptiometry (DXA) for measurement of regional and whole-body? bone, fat, and soft lean tissue; isotope dilution for assessment of total body water; multi-compartment? models of body composition; analysis of regional body composition (intra-abdominal and subcutaneous? abdominal adipose tissue from computed tomography scans)];? ? Insulin sensitivity testing (frequently-sampled, intravenous, glucose tolerance test with minimal? modeling); oral glucose tolerance test with analysis of insulin and glucose;? ? Analysis of glucose, lipids, and hormones (including obesity-related hormones, e.g., leptin, adiponectin;? diabetes-related hormones, e.g., insulin, C-peptide, glucagon, GLP-1, GIP; a reproductive-endocrine? panel, e.g., estradiol, testosterone, other steroid hormones, gonadotropins; elements of the IGF system,? e.g., IGF-1 and its binding proteins; cytokines and markers of inflammation, e.g., TNF-a and its? receptors, IL-6, CRP);? ? Analysis of isotopically-labeled glucose and amino acids by GC/MS for use in in vivo metabolic studies? (e.g., endogenous glucose production, protein turnover).? Since inception in 2000, Core A has supported 65 investigators and 102 research projects. Current core use? includes 24 investigators from 13 departments/divisions across DAB, and seven investigators from outside? of DAB. These investigators have a total of 47 funded projects that use Core services. Of these projects, 38? (81%) are federally-funded. Two CNRU P/F studies presently use the Metabolism Core.? New Methods Development includes, 1) the validation of a non-invasive test for insulin sensitivity in children? using a mixed-meal, and, 2) implementation of methodology for assessing insulin secretion and clearance? using data resulting from a mixed-meal test.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK056336-07
Application #
7726856
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
Budget Start
2008-06-01
Budget End
2009-05-31
Support Year
7
Fiscal Year
2008
Total Cost
$198,795
Indirect Cost
Name
University of Alabama Birmingham
Department
Type
DUNS #
063690705
City
Birmingham
State
AL
Country
United States
Zip Code
35294
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 :
Nelson, Jordan R; Schwartz, Tonia S; Gohlke, Julia M (2018) Influence of maternal age on the effects of seleno-l-methionine in the model organism Daphnia pulex under standard and heat stress conditions. Reprod Toxicol 75:1-9
Speed, Joshua S; Hyndman, Kelly A; Roth, Kaehler et al. (2018) High dietary sodium causes dyssynchrony of the renal molecular clock in rats. Am J Physiol Renal Physiol 314:F89-F98

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