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Usage Information

CXCL11-dependent induction of FOXP3-negative regulatory T cells suppresses autoimmune encephalomyelitis
Yaniv Zohar, Gizi Wildbaum, Rostislav Novak, Andrew L. Salzman, Marcus Thelen, Ronen Alon, Yiftah Barsheshet, Christopher L. Karp, Nathan Karin
Yaniv Zohar, Gizi Wildbaum, Rostislav Novak, Andrew L. Salzman, Marcus Thelen, Ronen Alon, Yiftah Barsheshet, Christopher L. Karp, Nathan Karin
View: Text | PDF | Corrigendum | Expression of Concern
Research Article

CXCL11-dependent induction of FOXP3-negative regulatory T cells suppresses autoimmune encephalomyelitis

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Abstract

A single G protein–coupled receptor (GPCR) can activate multiple signaling cascades based on the binding of different ligands. The biological relevance of this feature in immune regulation has not been evaluated. The chemokine-binding GPCR CXCR3 is preferentially expressed on CD4+ T cells, and canonically binds 3 structurally related chemokines: CXCL9, CXCL10, and CXCL11. Here we have shown that CXCL10/CXCR3 interactions drive effector Th1 polarization via STAT1, STAT4, and STAT5 phosphorylation, while CXCL11/CXCR3 binding induces an immunotolerizing state that is characterized by IL-10hi (Tr1) and IL-4hi (Th2) cells, mediated via p70 kinase/mTOR in STAT3- and STAT6-dependent pathways. CXCL11 binds CXCR3 with a higher affinity than CXCL10, suggesting that CXCL11 has the potential to restrain inflammatory autoimmunity. We generated a CXCL11-Ig fusion molecule and evaluated its use in the EAE model of inflammatory autoimmune disease. Administration of CXCL11-Ig during the first episode of relapsing EAE in SJL/J mice not only led to rapid remission, but also prevented subsequent relapse. Using GFP-expressing effector CD4+ T cells, we observed that successful therapy was associated with reduced accumulation of these cells at the autoimmune site. Finally, we showed that very low doses of CXCL11 rapidly suppress signs of EAE in C57BL/6 mice lacking functional CXCL11.

Authors

Yaniv Zohar, Gizi Wildbaum, Rostislav Novak, Andrew L. Salzman, Marcus Thelen, Ronen Alon, Yiftah Barsheshet, Christopher L. Karp, Nathan Karin

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Usage data is cumulative from October 2025 through October 2026.

Usage JCI PMC
Text version 1,646 85
PDF 379 17
Figure 1,231 0
Table 363 0
Supplemental data 212 3
Citation downloads 331 0
Totals 4,162 105
Total Views 4,267
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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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Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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