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Dynamic transcriptome analysis unveils key proresolving factors of chronic inflammatory arthritis
Jin-Sun Kong, … , Daehee Hwang, Wan-Uk Kim
Jin-Sun Kong, … , Daehee Hwang, Wan-Uk Kim
Published May 14, 2020
Citation Information: J Clin Invest. 2020;130(8):3974-3986. https://doi.org/10.1172/JCI126866.
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Research Article Autoimmunity Inflammation

Dynamic transcriptome analysis unveils key proresolving factors of chronic inflammatory arthritis

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Abstract

Despite recent advances in understanding chronic inflammation remission, global analyses have not been explored to systematically discover genes or pathways underlying the resolution dynamics of chronic inflammatory diseases. Here, we performed time-course gene expression profiling of mouse synovial tissues along progression and resolution of collagen-induced arthritis (CIA) and identified genes associated with inflammation resolution. Through network analysis of these genes, we predicted 3 key secretory factors responsible for the resolution of CIA: Itgb1, Rps3, and Ywhaz. These factors were predominantly expressed by Tregs and antiinflammatory M2 macrophages, suppressing production of proinflammatory cytokines. In particular, Ywhaz was elevated in the sera of mice with arthritis resolution and in the urine of rheumatoid arthritis (RA) patients with good therapeutic responses. Moreover, adenovirus-mediated transfer of the Ywhaz gene to the affected joints substantially inhibited arthritis progression in mice with CIA and suppressed expression of proinflammatory cytokines in joint tissues, lymph nodes, and spleens, suggesting Ywhaz is an excellent target for RA therapy. Therefore, our comprehensive analysis of dynamic synovial transcriptomes provides previously unidentified antiarthritic genes, Itgb1, Rps3, and Ywhaz, which can serve as molecular markers to predict disease remission, as well as therapeutic targets for chronic inflammatory arthritis.

Authors

Jin-Sun Kong, Ji-Hwan Park, Seung-Ah Yoo, Ki-Myo Kim, Yeung-Jin Bae, Yune-Jung Park, Chul-Soo Cho, Daehee Hwang, Wan-Uk Kim

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