The Yale-DRC Clinical Metabolism Core provides comprehensive support for investigators conducting clinical investigations of human diseases of metabolism such as diabetes and obesity. The primary emphasis of this core is to provide analytical resources for patient-oriented studies utilizing stable isotopes to determine metabolic flux at the whole body and tissue specific levels. Secondarily, the core also makes its analytical resources available to researchers utilizing rat and cell models of human metabolic diseases. Stable isotopes offer unique advantages over traditional radioisotopic methods for assessing substrate turnover in humans as they do not expose subjects to ionizing radiation and they provide positional isotopomer information that can be used to assess flux through critical metabolic pathways. The major limitation to the use of stable isotopes by the clinical investigator is the need for sophisticated and expensive instrumentation and highly skilled expertise for instrument operation and for data analysis and interpretation The Yale-DRC Clinical Metabolism Core removes these obstacles by providing the personnel and resources needed for the extraction, purification, derivatization, and instrumental analysis needed to determine the concentrations and isotopic enrichments of metabolites in plasma, urine, or tissues. This core measures the isotopic (e.g., [2]H, [13]C, [5]N, and [18] 0) enrichment and concentrations of over 140 intermediary metabolites by GC-MS, LC-MS/MS, and NMR for the calculation of turnover of carbohydrates, lipids, and proteins. The primary purposes of the Yale-DRC Clinical Metabolism Core are to: 1) make GC-MS, LC-MS/MS, and NMR analyses available to DRC members, 2) avoid duplication of costs associated with personnel and instrumentation, 3.) provide standardized protocols to insure consistent and accurate sample analysis, and 4) assist Yale-DRC researchers in the design and interpretation of experiments utilizing stable isotopes for measurement of metabolic flux.

Public Health Relevance

The Yale-DRC Clinical Metabolism Core serves as a unique resource in providing both intramural and extramural researchers access to state-of-the-art analyses for measurements of stable, non radioactive, isotopes of metabolites obtained from patients with diabetes and other metabolic diseases, which in turn provides new insights into mechanism of disease and new therapies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
2P30DK045735-21
Application #
8446555
Study Section
Special Emphasis Panel (ZDK1-GRB-S (O2))
Project Start
Project End
Budget Start
2013-03-15
Budget End
2014-01-31
Support Year
21
Fiscal Year
2013
Total Cost
$191,775
Indirect Cost
$74,676
Name
Yale University
Department
Type
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
RISE Consortium (2018) Metabolic Contrasts Between Youth and Adults With Impaired Glucose Tolerance or Recently Diagnosed Type 2 Diabetes: I. Observations Using the Hyperglycemic Clamp. Diabetes Care 41:1696-1706
Gülden, Elke; Chao, Chen; Tai, Ningwen et al. (2018) TRIF deficiency protects non-obese diabetic mice from type 1 diabetes by modulating the gut microbiota and dendritic cells. J Autoimmun 93:57-65
Corbit, Kevin C; Camporez, João Paulo G; Edmunds, Lia R et al. (2018) Adipocyte JAK2 Regulates Hepatic Insulin Sensitivity Independently of Body Composition, Liver Lipid Content, and Hepatic Insulin Signaling. Diabetes 67:208-221
Habtemichael, Estifanos N; Li, Don T; Alcázar-Román, Abel et al. (2018) Usp25m protease regulates ubiquitin-like processing of TUG proteins to control GLUT4 glucose transporter translocation in adipocytes. J Biol Chem 293:10466-10486
Perry, Rachel J; Peng, Liang; Cline, Gary W et al. (2018) Mechanisms by which a Very-Low-Calorie Diet Reverses Hyperglycemia in a Rat Model of Type 2 Diabetes. Cell Metab 27:210-217.e3
Xu, Ke; Zhang, Xinyu; Wang, Zuoheng et al. (2018) Epigenome-wide association analysis revealed that SOCS3 methylation influences the effect of cumulative stress on obesity. Biol Psychol 131:63-71
Xiang, Anny H; Trigo, Enrique; Martinez, Mayra et al. (2018) Impact of Gastric Banding Versus Metformin on ?-Cell Function in Adults With Impaired Glucose Tolerance or Mild Type 2 Diabetes. Diabetes Care 41:2544-2551
Belfort-DeAguiar, Renata; Seo, Dongju; Lacadie, Cheryl et al. (2018) Humans with obesity have disordered brain responses to food images during physiological hyperglycemia. Am J Physiol Endocrinol Metab 314:E522-E529
Szczepanik, Marian; Majewska-Szczepanik, Monika; Wong, Florence S et al. (2018) Regulation of contact sensitivity in non-obese diabetic (NOD) mice by innate immunity. Contact Dermatitis 79:197-207
Yu, Hua; Paiva, Ricardo; Flavell, Richard A (2018) Harnessing the power of regulatory T-cells to control autoimmune diabetes: overview and perspective. Immunology 153:161-170

Showing the most recent 10 out of 620 publications