Beta cell glucose sensitivity identifies clinical response to disease-modifying therapies initiated at stage 3 type 1

Carmella Evans-Molina1,2,3,4, Stephen E Gitelman5, Andrea Mari6

  • 1Indiana University School of Medicine, Indianapolis, IN, USA. cevansmo@iu.edu.

Diabetologia
|March 12, 2026
PubMed
Abstract

Insights

A new measure of beta cell glucose sensitivity (βGS) can better predict type 1 diabetes treatment success than traditional C-peptide tests. This physiological marker helps identify patients likely to benefit from interventions.

Area of Science:

  • Endocrinology
  • Immunology
  • Metabolic Diseases

Background:

  • Type 1 diabetes lacks disease-modifying therapies despite extensive research.
  • Current clinical trials often rely on C-peptide AUC (AUCcp) as a primary endpoint, which may not fully reflect clinical outcomes.

Purpose of the Study:

  • To evaluate a model-derived physiological measure, in vivo beta cell glucose sensitivity (βGS), as a potential improvement for clinical trial strategies in type 1 diabetes.
  • To determine if βGS can serve as an earlier and more reliable indicator of therapeutic efficacy.

Main Methods:

  • Analysis of 4930 mixed meal tolerance test (MMTT) data points from 799 participants in nine Phase II stage 3 type 1 diabetes trials.
  • Determination of beta cell glucose sensitivity (βGS) using a model-derived physiological measure.

Main Results:

  • Older age and higher BMI were associated with maintained βGS and glycemic control (HbA1c < 7.0%).
  • Baseline βGS, age, HbA1c, and insulin dose predicted the intervention's effect on HbA1c.
  • Normalized βGS indicated trial efficacy earlier than AUCcp in both positive and negative trials.

Conclusions:

  • Clinically significant thresholds for βGS changes impacting glycemic management were identified.
  • Baseline βGS, combined with clinical and demographic factors, can identify type 1 diabetes patients most likely to respond to interventions.

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