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Cited by 218

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Rat Models of Type 1 Diabetes: Genetics, Environment, and Autoimmunity

Open access
Mordes, J. P., Bortell, R., Blankenhorn, E. P., Rossini, A. A., Greiner, D. L.·2004·ILAR Journal

Abstract

For many years, the vast amount of data gathered from analysis of nonobese diabetic (NOD) and congenic NOD mice has eclipsed interest in the rat for the study of type 1 diabetes. The study of rat models has continued, however, and recently there has been a reanimation of interest for several reasons. First, genetic analysis of the rat has accelerated. Ian4L1, cblb, and Iddm4 are now known to play major roles in rat autoimmunity. Second, rats are amenable to study the interactions of genetics and environment that may be critical for disease expression in humans. Environmental perturbants that predictably enhance the expression of rat autoimmune diabetes include viral infection, toll-like receptor ligation, and depletion of regulatory T cell populations. Finally, data generated in the rat have correctly predicted the outcome of several human diabetes prevention trials, notably the failure of nicotinamide and low dose parenteral and oral insulin therapies.

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Metadata

Authors
Mordes, J. P., Bortell, R., Blankenhorn, E. P., Rossini, A. A., & Greiner, D. L.
Venue
ILAR Journal
Published
2004-01-01
Volume
45
Issue
3
Pages
278-291
ISSN
1084-2020 (ISSN-L)
OpenAlex
W2104491684
Cited by
218
References
6
FWCI
4.71
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Rat Models of Type 1 Diabetes: Genetics, Environment, and Autoimmunity. https://app.cochat.ai/papers/10.1093/ilar.45.3.278
The paper
Mordes, J. P., Bortell, R., Blankenhorn, E. P., Rossini, A. A., & Greiner, D. L. (2004). Rat Models of Type 1 Diabetes: Genetics, Environment, and Autoimmunity. ILAR Journal. https://doi.org/10.1093/ilar.45.3.278

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.