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Updated: May 23, 2026
11:10
Hyperinsulinemic-euglycemic Clamps in Conscious, Unrestrained Mice
Published on: November 16, 2011
Defining insulin resistance from hyperinsulinemic-euglycemic clamps.
Charmaine S Tam1, Wenting Xie, William D Johnson
1Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA.
Diabetes Care
|April 19, 2012
Summary
This study establishes a cutoff for identifying insulin resistance using hyperinsulinemic-euglycemic clamps and develops predictive equations from routine clinical and blood markers for earlier recognition of insulin resistance.
Area of Science:
- Endocrinology
- Metabolic Research
- Clinical Diagnostics
Background:
- Insulin resistance is a key factor in metabolic disorders.
- Hyperinsulinemic-euglycemic clamp studies are the gold standard for measuring insulin sensitivity.
- A need exists for accessible methods to identify insulin resistance in clinical settings.
Purpose of the Study:
- To determine a cutoff point for insulin resistance using hyperinsulinemic-euglycemic clamp data.
- To develop predictive equations for glucose disposal rate (GDR) from routine clinical and blood variables.
- To facilitate earlier recognition of insulin resistance in research participants.
Main Methods:
- Data from hyperinsulinemic-euglycemic clamps (120 mU/m(2)·min insulin dose) were analyzed.
- Subjects were categorized into diabetic and non-diabetic groups.
- Classification tree models were employed to predict GDR using routine variables.
Main Results:
- A cutoff for insulin resistance was identified based on GDR values.
- Predictive equations for insulin resistance were generated using HOMA-IR and HDL cholesterol levels.
- Classification trees demonstrated good sensitivity (89%) and specificity (67%) for predicting insulin resistance.
Conclusions:
- A reliable cutoff for defining insulin resistance from clamp studies has been established.
- Classification trees offer a practical method for predicting insulin resistance from routine measurements.
- These findings enhance the clinical utility of clamp studies for early insulin resistance detection.
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