The DOI matches its Crossref record.
Estimation of Endogenous Glucose Production During Hyperinsulinemic-Euglycemic Glucose Clamps: Comparison of Unlabeled and Labeled Exogenous Glucose Infusates
Abstract
Tracer methodology has been applied extensively to the estimation of endogenous glucose production (Ra) during euglycemic glucose clamps. The accuracy of this approach has been questioned due to the observation of significantly negative estimates for Ra when insulin levels are high. We performed hyperinsulinemic (300 μU/ml)-euglycemic glucose clamps for 180 min in normal dogs and compared the standard approach, an unlabeled exogenous glucose infusate (cold GINF protocol, n = 12), to a new approach in which a tracer (D-[3-3H]glucose) was added to the exogenous glucose used for clamping (hot GINF protocol, n = 10). Plasma glucose, insulin and glucagon concentrations, and glucose infusion rates were similar for the two protocols. Plasma glucose specific activity was 20 ± 1% of basal (at 120–180 min) in the cold GINF studies, and 44 ± 3 to 187 ± 5% of basal in the hot GINF studies. With the one-compartment, fixed pool volume model of Steele, Ra, for the cold GINF studies was –2.4 ± 0.7 mg · min−1 · kg−1 at 25 min and remained significantly negative until 110 min (P < .05). For the hot GINF studies, Ra was never significantly less than zero (P > .05) and was greater than in the cold GINF studies at 20–90 min (P < .05). There was substantially less between-(78%) and within- (40%) experiment variation for the hot GINF studies compared with the cold GINF studies. An alternate approach (regression method) to the application of the one-compartment model, which allows for a variable and estimable effective distribution volume, yielded Ra estimates that were suppressed 60–100% from basal. In conclusion, the one-compartment, fixed pool volume model of glucose kinetics is inadequate for the estimation of Ra during euglycemic glucose clamps. Two new strategies for estimating Ra from the one-compartment model, the hot GINF protocol and the regression method calculation, yielded more accurate and physiologically plausible estimates of Ra than currently used methodology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Nonalcoholic Fatty Liver Disease
Marchesini, G., Brizi, M., Bianchi, G., Tomassetti, S., Bugianesi, E., Lenzi, M., McCullough, A. J., Natale, S., Forlani, G., & Melchionda, N. (2001) · Diabetes · doi:10.2337/diabetes.50.8.1844 · Cited by 2,581
Dysfunction of Mitochondria in Human Skeletal Muscle in Type 2 Diabetes
Kelley, D. E., He, J., Menshikova, E. V., & Ritov, V. B. (2002) · Diabetes · doi:10.2337/diabetes.51.10.2944 · Cited by 2,321
Muniyappa, R., Lee, S., Chen, H., & Quon, M. J. (2008) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00645.2007 · Cited by 1,643
Goodpaster, B. H. (2001) · Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.86.12.5755 · Cited by 1,194
Laakso, M., Edelman, S. V., Brechtel, G., & Baron, A. D. (1990) · Journal of Clinical Investigation · doi:10.1172/jci114644 · Cited by 930
Metadata
- Authors
- Finegood, D. T., Bergman, R. N., & Vranic, M.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 1987-08-01
- Volume
- 36
- Issue
- 8
- Pages
- 914-924
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2135666165
- Cited by
- 546
- References
- 0
- FWCI
- 14.93
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Estimation of Endogenous Glucose Production During Hyperinsulinemic-Euglycemic Glucose Clamps: Comparison of Unlabeled and Labeled Exogenous Glucose Infusates. https://app.cochat.ai/papers/10.2337/diab.36.8.914
- The paper
- Finegood, D. T., Bergman, R. N., & Vranic, M. (1987). Estimation of Endogenous Glucose Production During Hyperinsulinemic-Euglycemic Glucose Clamps: Comparison of Unlabeled and Labeled Exogenous Glucose Infusates. Diabetes. https://doi.org/10.2337/diab.36.8.914
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.