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Insulin sensitivity by oral glucose minimal models: validation against clamp
Chiara Dalla Man1, Kevin E Yarasheski, Andrea Caumo
1Dept. of Information Engineering, University of Padova, Via Gradenigo 6/B, I-35131 Padua, Italy.
Summary
This study validates oral minimal models for measuring insulin sensitivity (S(I)) and glucose disposal (S(I)*). The oral method shows good correlation with clamp estimates, supporting its use in clinical trials.
Area of Science:
- Metabolic physiology
- Endocrinology
- Clinical diagnostics
Background:
- Accurate measurement of insulin sensitivity is crucial for understanding metabolic diseases.
- Oral minimal models offer a non-invasive approach to assess insulin sensitivity (S(I)) and its effect on glucose disposal (S(I)*).
- Previous validation focused on meal tests; clamp validation was needed.
Purpose of the Study:
- To validate oral minimal model estimates of S(I) and S(I)* against the gold standard euglycemic hyperinsulinemic clamp.
- To assess the reliability of oral minimal models for estimating insulin sensitivity in diverse metabolic conditions.
Main Methods:
- 21 subjects underwent both a multiple-tracer oral glucose tolerance test (OGTT) and a labeled euglycemic hyperinsulinemic clamp.
- Oral minimal model parameters (S(I), S(I)*) were calculated from OGTT data.
- Correlation and agreement between oral model estimates and clamp-derived values were analyzed.
Main Results:
- Satisfactory correlations were found between oral minimal model S(I) and clamp estimates (r = 0.81, P < 0.001).
- Oral minimal model S(I)* also showed good correlation with clamp estimates (r = 0.71, P < 0.001).
- S(I) from the oral model was significantly lower than clamp estimates, while S(I)* values were similar.
Conclusions:
- The oral minimal model provides a reliable method for estimating insulin sensitivity (S(I)) and glucose disposal (S(I)*).
- These findings support the use of oral minimal models as a practical tool in large-scale clinical trials for metabolic research.
- The validated oral method enhances the assessment of insulin resistance non-invasively.