4.6 Article

NOD mice have distinct metabolic and immunologic profiles when compared with genetically similar MHC-matched ICR mice

Journal

Publisher

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/ajpendo.00033.2023

Keywords

autoimmunity; islet; mice

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By comparing the metabolic and immunologic similarities and differences between ICR mice and NOD mice, it was found that NOD mice have differences in circulating proinsulin levels, infiltration of cells into and near pancreatic islets, gene expression in islets, and protein abundance in islets compared to ICR mice. Therefore, ICR mice are an excellent genetically similar and MHC-matched control choice for NOD mice in studies exploring mechanisms relevant to autoimmune-mediated diabetes onset and novel therapeutic interventions.
Nonobese diabetic (NOD) mice are the most commonly used rodent model to study mechanisms relevant to the autoimmunity and immunology of type 1 diabetes. Although many different strains of mice have been used as controls for studies comparing nondiabetic lines to the NOD strain, we hypothesized that the parental strain that gave rise to the NOD line might be one of the best options. Therefore, we compared female ICR and NOD mice, which are matched at key major histocompatibility complex (MHC) loci, to understand their metabolic and immunologic similarities and differences. Several novel observations emerged: 1) NOD mice have greater circulating proinsulin when compared with ICR mice. 2) NOD mice display CD3+ and IBA1+ cell infiltration into and near pancreatic islets before hyperglycemia. 3) NOD mice show increased expression of the Il1b and Cxcl11 genes in islets when compared with islets from age-matched ICR mice. 4) NOD mice have a greater abundance of STAT1 and ICAM-1 protein in islets when compared with ICR mice. These data show that ICR mice, which are genetically similar to NOD mice, do not retain the same immunologic outcomes. Thus, ICR mice are an excellent choice as a genetically similar and MHC-matched control for NOD mice in studies designed to understand mechanisms relevant to autoimmune-mediated diabetes onset as well as novel therapeutic interventions.

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