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Usage Information

PTPN2 links colonic and joint inflammation in experimental autoimmune arthritis
Wan-Chen Hsieh, Mattias N.D. Svensson, Martina Zoccheddu, Michael L. Tremblay, Shimon Sakaguchi, Stephanie M. Stanford, Nunzio Bottini
Wan-Chen Hsieh, Mattias N.D. Svensson, Martina Zoccheddu, Michael L. Tremblay, Shimon Sakaguchi, Stephanie M. Stanford, Nunzio Bottini
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Research Article Inflammation

PTPN2 links colonic and joint inflammation in experimental autoimmune arthritis

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Abstract

Loss-of-function variants of protein tyrosine phosphatase non-receptor type 2 (PTPN2) enhance risk of inflammatory bowel disease and rheumatoid arthritis; however, whether the association between PTPN2 and autoimmune arthritis depends on gut inflammation is unknown. Here we demonstrate that induction of subclinical intestinal inflammation exacerbates development of autoimmune arthritis in SKG mice. Ptpn2-haploinsufficient SKG mice — modeling human carriers of disease-associated variants of PTPN2 — displayed enhanced colitis-induced arthritis and joint accumulation of Tregs expressing RAR-related orphan receptor γT (RORγt) — a gut-enriched Treg subset that can undergo conversion into FoxP3–IL-17+ arthritogenic exTregs. SKG colonic Tregs underwent higher conversion into arthritogenic exTregs when compared with peripheral Tregs, which was exacerbated by haploinsufficiency of Ptpn2. Ptpn2 haploinsufficiency led to selective joint accumulation of RORγt-expressing Tregs expressing the colonic marker G protein–coupled receptor 15 (GPR15) in arthritic mice and selectively enhanced conversion of GPR15+ Tregs into exTregs in vitro and in vivo. Inducible Treg-specific haploinsufficiency of Ptpn2 enhanced colitis-induced SKG arthritis and led to specific joint accumulation of GPR15+ exTregs. Our data validate the SKG model for studies at the interface between intestinal and joint inflammation and suggest that arthritogenic variants of PTPN2 amplify the link between gut inflammation and arthritis through conversion of colonic Tregs into exTregs.

Authors

Wan-Chen Hsieh, Mattias N.D. Svensson, Martina Zoccheddu, Michael L. Tremblay, Shimon Sakaguchi, Stephanie M. Stanford, Nunzio Bottini

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Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 1,987 141
PDF 216 42
Figure 881 8
Supplemental data 111 1
Citation downloads 269 0
Totals 3,464 192
Total Views 3,656
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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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