The ability to quantify acute, non-steady state changes in substrate dynamics is imperative in the study of in vivo regulation of metabolism. Isotopic tracer techniques have been devised for this purpose. The most common approach is a single-pool model, known to be based on incorrect assumptions when applied to glucose kinetics, which has been demonstrated in several studies to be unreliable in rapidly changing situations. Two- pool models have also been described, but not widely accepted. Our hypothesis is that current methods for the calculation of non-steady plasm, a glucose kinetics can be improved by two innovations: (1). Basing model development on the measurement of glucose concentration and enrichment and insulin concentration in the two major compartments in which they are distributed: plasma and interstitial fluid. Interstitial fluid measurements will be obtained by sampling from a cannula chronically placed in the thoracic duct of sheep. (2). Data analysis will involve the so- called """"""""direct"""""""" approach, which makes use of the governing differential equations, thereby allowing prescribed precision of statistical estimation. In order to assess the applicability of this approach, experiments will be performed in conscious sheep and in normal human volunteers. Experiments will be performed in the setting of either constant or varying insulin and glucose concentrations. In the later cases, the equations will account for the relationship between the values for the rate parameters and the prevailing insulin and glucose concentrations. Whereas the tests of this new approach to modeling will be focused on glucose, it is not restrictive and we anticipate that subsequent to these validation experiments the approach will become widely applied to the study of a variety of compounds.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK037484-02
Application #
3236430
Study Section
Metabolism Study Section (MET)
Project Start
1989-06-15
Project End
1992-05-31
Budget Start
1990-06-01
Budget End
1991-05-31
Support Year
2
Fiscal Year
1990
Total Cost
Indirect Cost
Name
University of Texas Medical Br Galveston
Department
Type
Schools of Medicine
DUNS #
041367053
City
Galveston
State
TX
Country
United States
Zip Code
77555
Gastaldelli, A; Schwarz, J M; Caveggion, E et al. (1997) Glucose kinetics in interstitial fluid can be predicted by compartmental modeling. Am J Physiol 272:E494-505
Rosenblatt, J; Chinkes, D; Wolfe, M et al. (1992) Stable isotope tracer analysis by GC-MS, including quantification of isotopomer effects. Am J Physiol 263:E584-96
Wolfe, R R (1991) Empirical assessment of model validity. JPEN J Parenter Enteral Nutr 15:50S-54S