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Usage Information

IL-23R–activated STAT3/STAT4 is essential for Th1/Th17-mediated CNS autoimmunity
Priscilla W. Lee, … , Michael K. Racke, Amy E. Lovett-Racke
Priscilla W. Lee, … , Michael K. Racke, Amy E. Lovett-Racke
Published September 7, 2017
Citation Information: JCI Insight. 2017;2(17):e91663. https://doi.org/10.1172/jci.insight.91663.
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Research Article Immunology

IL-23R–activated STAT3/STAT4 is essential for Th1/Th17-mediated CNS autoimmunity

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Abstract

The factors that promote the differentiation of pathogenic T cells in autoimmune diseases are poorly defined. Use of genetically modified mice has provided insight into molecules necessary for the development of autoimmunity, but the sum of the data has led to contradictory observations based on what is currently known about specific molecules in specific signaling pathways. To define the minimum signals required for development of encephalitogenic T cells that cause CNS autoimmunity, myelin-specific T cells were differentiated with various cytokine cocktails, and pathogenicity was determined by transfer into mice. IL-6+IL-23 or IL-12+IL-23 generated encephalitogenic T cells and recapitulated the essential cytokine signals provided by antigen-presenting cells, and both IL-6 and IL-12 induced IL-23 receptor expression on both mouse and human naive T cells. IL-23 signaled through both STAT3 and STAT4, and disruption in STAT4 signaling impaired CNS autoimmunity independent of IL-12. These data explain why IL-12–deficient mice develop CNS autoimmunity, while STAT4-deficient mice are resistant. CD4+ memory T cells from multiple sclerosis patients had significantly higher levels of p-STAT3/p-STAT4, and p-STAT3/p-STAT4 heterodimers were observed upon IL-23 signaling, suggesting that p-STAT3/p-STAT4 induced by IL-23 signaling orchestrate the generation of pathogenic T cells in CNS autoimmunity, regardless of Th1 or Th17 phenotype.

Authors

Priscilla W. Lee, Alan J. Smith, Yuhong Yang, Amanda J. Selhorst, Yue Liu, Michael K. Racke, Amy E. Lovett-Racke

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Usage data is cumulative from March 2022 through March 2023.

Usage JCI PMC
Text version 1,066 547
PDF 128 99
Figure 328 4
Table 40 0
Supplemental data 13 0
Citation downloads 37 0
Totals 1,612 650
Total Views 2,262
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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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