Affiliation:
1. Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
2. National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
3. Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan
Abstract
OBJECTIVE
Glucokinase (GCK) acts as a component of the “glucose sensor” in pancreatic β-cells and possibly in other tissues, including the brain. However, >99% of GCK in the body is located in the liver, where it serves as a “gatekeeper”, determining the rate of hepatic glucose phosphorylation. Mutations in GCK are a cause of maturity-onset diabetes of the young (MODY), and GCKR, the regulator of GCK in the liver, is a diabetes susceptibility locus. In addition, several GCK activators are being studied as potential regulators of blood glucose. The ability to estimate liver GCK activity in vivo for genetic and pharmacologic studies may provide important physiologic insights into the regulation of hepatic glucose metabolism.
RESEARCH DESIGN AND METHODS
Here we introduce a simple, linear, two-compartment kinetic model that exploits lactate and glucose kinetics observed during the frequently sampled intravenous glucose tolerance test (FSIGT) to estimate liver GCK activity (KGK), glycolysis (K12), and whole body fractional lactate clearance (K01).
RESULTS
To test our working model of lactate, we used cross-sectional FSIGT data on 142 nondiabetic individuals chosen at random from the Finland–United States Investigation of NIDDM Genetics study cohort. Parameters KGK, K12, and K01 were precisely estimated. Median model parameter estimates were consistent with previously published values.
CONCLUSIONS
This novel model of lactate kinetics extends the utility of the FSIGT protocol beyond whole-body glucose homeostasis by providing estimates for indices pertaining to hepatic glucose metabolism, including hepatic GCK activity and glycolysis rate.
Publisher
American Diabetes Association
Subject
Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine
Cited by
20 articles.
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