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Accelerated onset of diabetes in non‐obese diabetic mice fed a refined high‐fat diet

内分泌学 内科学 点头老鼠 点头 糖尿病 生物 1型糖尿病 胰岛素 微生物群 肥胖 2型糖尿病 医学 生物信息学
作者
Heidi M. Batdorf,Luz de Luna Lawes,Gabrielle A. Cassagne,M. Fontenot,Innocence Harvey,J. Richardson,David H. Burk,Samuel D. Dupuy,Michael D. Karlstad,J. Michael Salbaum,Jarosław Staszkiewicz,Robbie A. Beyl,Sujoy Ghosh,Susan J. Burke,J. Jason Collier
出处
期刊:Diabetes, Obesity and Metabolism [Wiley]
卷期号:26 (6): 2158-2166
标识
DOI:10.1111/dom.15522
摘要

Abstract Aim Type 1 diabetes results from autoimmune events influenced by environmental variables, including changes in diet. This study investigated how feeding refined versus unrefined (aka ‘chow’) diets affects the onset and progression of hyperglycaemia in non‐obese diabetic (NOD) mice. Methods Female NOD mice were fed either unrefined diets or matched refined low‐ and high‐fat diets. The onset of hyperglycaemia, glucose tolerance, food intake, energy expenditure, circulating insulin, liver gene expression and microbiome changes were measured for each dietary group. Results NOD mice consuming unrefined (chow) diets developed hyperglycaemia at similar frequencies. By contrast, mice consuming the defined high‐fat diet had an accelerated onset of hyperglycaemia compared to the matched low‐fat diet. There was no change in food intake, energy expenditure, or physical activity within each respective dietary group. Microbiome changes were driven by diet type, with chow diets clustering similarly, while refined low‐ and high‐fat bacterial diversity also grouped closely. In the defined dietary cohort, liver gene expression changes in high‐fat‐fed mice were consistent with a greater frequency of hyperglycaemia and impaired glucose tolerance. Conclusion Glucose intolerance is associated with an enhanced frequency of hyperglycaemia in female NOD mice fed a defined high‐fat diet. Using an appropriate matched control diet is an essential experimental variable when studying changes in microbiome composition and diet as a modifier of disease risk.

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