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Usage Information

Selective tyrosine kinase inhibition by imatinib mesylate for the treatment of autoimmune arthritis
Ricardo T. Paniagua, Orr Sharpe, Peggy P. Ho, Steven M. Chan, Anna Chang, John P. Higgins, Beren H. Tomooka, Fiona M. Thomas, Jason J. Song, Stuart B. Goodman, David M. Lee, Mark C. Genovese, Paul J. Utz, Lawrence Steinman, William H. Robinson
Ricardo T. Paniagua, Orr Sharpe, Peggy P. Ho, Steven M. Chan, Anna Chang, John P. Higgins, Beren H. Tomooka, Fiona M. Thomas, Jason J. Song, Stuart B. Goodman, David M. Lee, Mark C. Genovese, Paul J. Utz, Lawrence Steinman, William H. Robinson
View: Text | PDF
Research Article Autoimmunity

Selective tyrosine kinase inhibition by imatinib mesylate for the treatment of autoimmune arthritis

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Abstract

Tyrosine kinases play a central role in the activation of signal transduction pathways and cellular responses that mediate the pathogenesis of rheumatoid arthritis. Imatinib mesylate (imatinib) is a tyrosine kinase inhibitor developed to treat Bcr/Abl-expressing leukemias and subsequently found to treat c-Kit–expressing gastrointestinal stromal tumors. We demonstrate that imatinib potently prevents and treats murine collagen-induced arthritis (CIA). We further show that micromolar concentrations of imatinib abrogate multiple signal transduction pathways implicated in RA pathogenesis, including mast cell c-Kit signaling and TNF-α release, macrophage c-Fms activation and cytokine production, and fibroblast PDGFR signaling and proliferation. In our studies, imatinib attenuated PDGFR signaling in fibroblast-like synoviocytes (FLSs) and TNF-α production in synovial fluid mononuclear cells (SFMCs) derived from human RA patients. Imatinib-mediated inhibition of a spectrum of signal transduction pathways and the downstream pathogenic cellular responses may provide a powerful approach to treat RA and other inflammatory diseases.

Authors

Ricardo T. Paniagua, Orr Sharpe, Peggy P. Ho, Steven M. Chan, Anna Chang, John P. Higgins, Beren H. Tomooka, Fiona M. Thomas, Jason J. Song, Stuart B. Goodman, David M. Lee, Mark C. Genovese, Paul J. Utz, Lawrence Steinman, William H. Robinson

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Usage data is cumulative from September 2025 through September 2026.

Usage JCI PMC
Text version 1,283 97
PDF 244 9
Figure 854 1
Citation downloads 259 0
Totals 2,640 107
Total Views 2,747
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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