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The Influence of Type 2 Diabetes-Associated Factors on Type 1 Diabetes.

Citation
Redondo, M. J., et al. “The Influence Of Type 2 Diabetes-Associated Factors On Type 1 Diabetes.”. Diabetes Care, pp. 1357-1364.
Center Indiana University
Author Maria J Redondo, Carmella Evans-Molina, Andrea K Steck, Mark A Atkinson, Jay Sosenko
Abstract

Current efforts to prevent progression from islet autoimmunity to type 1 diabetes largely focus on immunomodulatory approaches. However, emerging data suggest that the development of diabetes in islet autoantibody-positive individuals may also involve factors such as obesity and genetic variants associated with type 2 diabetes, and the influence of these factors increases with age at diagnosis. Although these factors have been linked with metabolic outcomes, particularly through their impact on β-cell function and insulin sensitivity, growing evidence suggests that they might also interact with the immune system to amplify the autoimmune response. The presence of factors shared by both forms of diabetes contributes to disease heterogeneity and thus has important implications. Characteristics that are typically considered to be nonimmune should be incorporated into predictive algorithms that seek to identify at-risk individuals and into the designs of trials for disease prevention. The heterogeneity of diabetes also poses a challenge in diagnostic classification. Finally, after clinically diagnosing type 1 diabetes, addressing nonimmune elements may help to prevent further deterioration of β-cell function and thus improve clinical outcomes. This Perspectives in Care article highlights the role of type 2 diabetes-associated genetic factors (e.g., gene variants at transcription factor 7-like 2 []) and obesity (via insulin resistance, inflammation, β-cell stress, or all three) in the pathogenesis of type 1 diabetes and their impacts on age at diagnosis. Recognizing that type 1 diabetes might result from the sum of effects from islet autoimmunity and type 2 diabetes-associated factors, their interactions, or both affects disease prediction, prevention, diagnosis, and treatment.

Year of Publication
2019
Journal
Diabetes care
Volume
42
Issue
8
Number of Pages
1357-1364
Date Published
12/2019
ISSN Number
1935-5548
DOI
10.2337/dc19-0102
Alternate Journal
Diabetes Care
PMID
31167894
PMCID
PMC6647039
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