Literature DB >> 19473996

Kinetic analysis of synovial signalling and gene expression in animal models of arthritis.

Akihisa Fukushima1, David L Boyle, Maripat Corr, Gary S Firestein.   

Abstract

BACKGROUND: Animal models of arthritis are frequently used to evaluate novel therapeutic agents. However, their ability to predict responses in humans is variable.
OBJECTIVE: To examine the time course of signalling molecule and gene expression in two models of arthritis to assist with selection of the model and timing of drug administration.
METHODS: The passive K/BxN serum transfer and collagen-induced arthritis (CIA) models were studied. Activation of MAP kinase and interferon (IFN)-response pathways was evaluated by quantitative PCR and western blot analysis of ankle joints at various time points during the models.
RESULTS: The kinetics of gene expression and kinase phosphorylation were strikingly different in passive K/BxN and CIA. All three MAP kinases (ERK, JNK and p38) and upstream kinases were activated within days in passive K/BxN and declined as arthritis severity decreased. Surprisingly, IFN-regulated genes, including IRF7, were not induced in the model. In CIA, activation of ERK and JNK was surprisingly low and p38 phosphorylation mainly peaked late in the disease. IFN-response genes were activated during CIA, with especially prominent peaks at the onset of clinical arthritis.
CONCLUSIONS: Timing of treatment and selection of CIA or passive K/BxN might have an important impact on therapeutic response. p38, in particular, increases during the late stages of CIA. ERK and JNK patterns are similar in passive K/BxN and rheumatoid arthritis (RA), while IFN-response genes in CIA and RA are similar. The dichotomy between RA and animal models could help explain the poor correlation between efficacy in RA and preclinical studies.

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Year:  2009        PMID: 19473996      PMCID: PMC2859101          DOI: 10.1136/ard.2009.112201

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


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