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Cited by 238

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Animal models of rheumatoid arthritis and their relevance to human disease

Open access
Kannan, Krishnaswamy, Ortmann, Robert A., Kimpel, Donald·2005·Pathophysiology

Abstract

Rodent models of rheumatoid arthritis (RA) are useful tools to study the pathogenic process of RA. Among the most widely used models of RA are the streptococcal cell wall (SCW) arthritis model and the collagen-induced arthritis (CIA). Both innate and adaptive immune mechanisms are involved in these rodent models. While no models perfectly duplicate the condition of human RA, they are easily reproducible, well defined and have proven useful for development of new therapies for arthritis, as exemplified by cytokine blockade therapies. Besides SCW and CIA models, there are numerous others including transgenic models such as K/BxN, induced models such as adjuvant-induced and pristane models, and spontaneous models in certain mouse strains, that have been used to help understand some of the underlying mechanisms. This review provides an update and analysis of RA models in mice and rats. The array of models has provided rheumatologists and immunologists a means to understand the multifactorial disease in humans, to identify new drug targets, and to test new therapies.

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Metadata

Authors
Kannan, K., Ortmann, R. A., & Kimpel, D.
Venue
Pathophysiology
Publisher
Elsevier BV
Published
2005-10
Volume
12
Issue
3
Pages
167-181
ISSN
0928-4680 (ISSN-L)
OpenAlex
W2056696895
Cited by
238
References
3
FWCI
5.82
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Animal models of rheumatoid arthritis and their relevance to human disease. https://app.cochat.ai/papers/10.1016/j.pathophys.2005.07.011
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Kannan, K., Ortmann, R. A., & Kimpel, D. (2005). Animal models of rheumatoid arthritis and their relevance to human disease. Pathophysiology. https://doi.org/10.1016/j.pathophys.2005.07.011

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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.