Revisiting type 1 diabetes progression in the non-obese diabetic mouse

Read full text
Authors: Barbara Ehall, LAURIN HERBSTHOFER, Beate Obermüller, Ceren Karacay, Kaddour Bounab, Joakim Franz, Amin El-Heliebi, Beate Boulgaropoulos, Lilli Bonstingl, Katja Sallinger, Victoria Hois, Clemens Harer
+5 more Petra Kotzbeck, Wolfgang F. Graier, Gabriele Schoiswohl, Barbara Prietl, Thomas R. Pieber
Cited by: 1
References: 33

Abstract

As conventional diagnostic criteria in non-obese diabetic (NOD) mice may not reflect the early phase of type 1 diabetes, the applicability of NOD mouse models for early type 1 diabetes in humans can be limited. We therefore aimed to assess stages of beta cell loss in early type 1 diabetes at blood glucose (BG) levels of 80–200 mg/dl in age-stratified NOD mice. Islet composition of five pancreas sections each from 38 female NOD mice was determined using multiplexed-immunohistochemistry staining and Cell2Grid/rule-based automated islet identification. Visual analysis of fm-IHC images led to classification of islet stages. Average islet stage per animal (Islet Score) was correlated with average BG to identify NOD mice subgroups of disease progression. We categorized 3324 islets into islet stages, describing beta cell loss from 0 to 4.The proportion of insulin-deficient islets increased from BG > 126 mg/dl onwards. Three disease progression subgroups in NOD mice were identified: Non-diabetic (Islet Score < 1.0, BG < 126 mg/dl), pre-diabetic (Islet Score > 1.0, BG < 126 mg/dl) and early-diabetic (Islet Score > 1.0, BG > 126 mg/dl and diabetes progression model was established. The revised classification of type 1 diabetes in NOD mice and the resulting type 1 diabetes progression model improves adaptation of the NOD model to human pathophysiology.

Fields of Study & Subjects

Diabetes and associated disorders Pancreatic function and diabetes Diabetes Management and Research

Publication details

Journal / source
Scientific Reports
Publisher
Springer Science and Business Media LLC
Volume
16
Issue
1
Pages
5768–5768
Publication date
19 January 2026
Language
EN