Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • Conversations with Giants in Medicine
    • Video Abstracts
  • Reviews
    • View all reviews ...
    • Pancreatic Cancer (Jul 2025)
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • Microbiome in Health and Disease (Feb 2025)
    • Substance Use Disorders (Oct 2024)
    • Clonal Hematopoiesis (Oct 2024)
    • Sex Differences in Medicine (Sep 2024)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • Conversations with Giants in Medicine
  • Video Abstracts
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
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.
View: Text | PDF
Research Article Autoimmunity Inflammation

Dynamic transcriptome analysis unveils key proresolving factors of chronic inflammatory arthritis

  • Text
  • PDF
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

×

Figure 5

Promotion of antiinflammatory responses by the 3 regulators.

Options: View larger image (or click on image) Download as PowerPoint
Promotion of antiinflammatory responses by the 3 regulators.
(A–C) Decre...
(A–C) Decrease in mRNA and protein expression of IL-6 and TNF induced by Itgb1, Rps3, or Ywhaz. Mouse splenocytes (A) and peritoneal macrophages (B and C) were cultured with multiple concentrations (0, 10, 50, or 100 ng/mL) of recombinant Itgb1, Rps3, or Ywhaz in the absence or presence of 10 ng/mL LPS for 6 hours (for peritoneal macrophages) or 24 hours (for splenocytes). IL-6 and TNF protein concentrations in the culture supernatants were measured by ELISA (A and B), and their mRNA levels in the cells were determined by qRT-PCR (C). (D) Increase in IL-10 mRNA (top) and protein (bottom) expression induced by the 3 regulators. (E) Increase in Il6 and Tnf expression induced by the knockdown of Itgb1, Rps3, or Ywhaz transcripts. Peritoneal macrophages were transfected with siRNAs for Itgb1, Rps3, or Ywhaz for 24 hours. (F) Promotion of Il6 and Tnf production by anti-Rps3 or anti-Ywhaz Abs for 6 or 12 hours. (G) Decrease in IL-6 mRNA (top) and protein (bottom) expression in mouse fibroblast-like synoviocytes (FLSs) after treatment with recombinant Itgb1, Rps3, or Ywhaz for 6 hours. (H) Increase in mRNA levels of Il6 and Il8 in FLSs transfected with Itgb1, Rps3, or Ywhaz siRNAs. For qRT-PCR assays (C–H), mRNA levels of the target gene were first normalized to those of Gapdh, and then further normalized to the mean mRNA expression levels in the cells treated with LPS only (C, D, and G), those without treatment (none; F), or those transfected with control siRNA (E and H). Data are the mean ± SEM of more than 2 (F) or 3 independent experiments (A–E, G, and H). *P < 0.05, **P < 0.01, ***P < 0.001 by 1-way ANOVA with a post hoc test (Dunnett’s correction; A–D, F, and G) or Student’s t test (E and H).

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts