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February 5, 2026Diabetes Obesity and Metabolism0 citationsOpen Access

Interactive online calculator for estimation of muscle and hepatic insulin sensitivity in adults with Type 1 diabetes using clinical and research biomarkers

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AJAndrzej S. JanuszewskiJSJennifer SnaithGKGreg M. Kowalski

Key Points

  • The aim is to find a non-invasive method to estimate insulin sensitivity in Type 1 diabetes using biomarkers.
  • Conducted two-step clamps in 40 adults with Type 1 diabetes.
  • Assessed 33 baseline clinical biomarkers.
  • Developed predictive formulas for insulin sensitivity measures using blood biomarker data.
  • Predicted 'unfavourable GIR' with 92.5% accuracy using total daily insulin dose, fasting triglycerides, and other biomarkers.
  • Predicted 'unfavourable EGP' with 80% accuracy using total daily insulin dose and additional biomarkers.

Abstract

Abstract Aims Impaired insulin sensitivity is an under‐recognised risk in Type 1 diabetes but is challenging to measure with ‘gold‐standard’ euglycaemic clamps. Adding stable‐isotope glucose distinguishes hepatic and muscle insulin action (assessed by endogenous glucose production EGP and glucose infusion rate GIR, respectively). We therefore searched for a blood‐biomarker alternative. Methods Two‐step clamps were conducted in 40 adults with Type 1 diabetes, participating in the INTIMET trial (INsulin resistance in Type 1 diabetes managed with METformin, ACTRN12619001440112). Participants were characterised with 33 baseline biomarkers. Results Exhaustive search analyses derived a formula predicting an ‘unfavourable GIR’ (dichotomous variable: below median of 60.4 μmol/kg fat‐free mass FFM/min) using: total daily insulin dose (TDI), fasting triglycerides (TGs), insulin‐like growth factor 1 and aspartate aminotransferase levels (area under the receiver operating characteristic curve (AUROC) 0.97, p < 0.0001, R 2 Nagelkerke = 0.83, 92.5% accuracy). An ‘unfavourable EGP level’ (above median of 6.2 μmol/kg FFM/min) during low‐dose clamp was predicted by TDI, TGs, alkaline phosphatase and uric acid levels (AUROC 0.86, p = 0.001, R 2 (Nagelkerke) = 0.50, 80% accuracy). A free online tool ( https://bit.ly/EGP-GIR-calculator ) converts these variables into dichotomised EGP and GIR estimates. Conclusions We demonstrate that clinical and research biomarkers can be used to estimate tissue specific insulin sensitivity in adults with Type 1 diabetes.

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Cite This Study

Januszewski et al. (2026) studied this question.

synapsesocial.com/papers/698434c0f1d9ada3c1fb3444https://doi.org/10.1111/dom.70517
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