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Usage Information

Anti-coreceptor therapy drives selective T cell egress by suppressing inflammation-dependent chemotactic cues
Aaron J. Martin, … , Bo Wang, Roland Tisch
Aaron J. Martin, … , Bo Wang, Roland Tisch
Published October 20, 2016
Citation Information: JCI Insight. 2016;1(17):e87636. https://doi.org/10.1172/jci.insight.87636.
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Research Article Therapeutics

Anti-coreceptor therapy drives selective T cell egress by suppressing inflammation-dependent chemotactic cues

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Abstract

There continues to be a need for immunotherapies to treat type 1 diabetes in the clinic. We previously reported that nondepleting anti-CD4 and -CD8 Ab treatment effectively reverses diabetes in new-onset NOD mice. A key feature of the induction of remission is the egress of the majority of islet-resident T cells. How this occurs is undefined. Herein, the effects of coreceptor therapy on islet T cell retention were investigated. Bivalent Ab binding to CD4 and CD8 blocked TCR signaling and T cell cytokine production, while indirectly downregulating islet chemokine expression. These processes were required for T cell retention, as ectopic IFN-γ or CXCL10 inhibited Ab-mediated T cell purging. Importantly, treatment of humanized mice with nondepleting anti–human CD4 and CD8 Ab similarly reduced tissue-infiltrating human CD4+ and CD8+ T cells. These findings demonstrate that Ab binding of CD4 and CD8 interrupts a feed-forward circuit by suppressing T cell–produced cytokines needed for expression of chemotactic cues, leading to rapid T cell egress from the islets. Coreceptor therapy therefore offers a robust approach to suppress T cell–mediated pathology by purging T cells in an inflammation-dependent manner.

Authors

Aaron J. Martin, Matthew Clark, Gregory Gojanovich, Fatima Manzoor, Keith Miller, Douglas E. Kline, Y. Maurice Morillon, Bo Wang, Roland Tisch

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Usage data is cumulative from January 2022 through January 2023.

Usage JCI PMC
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Figure 104 0
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Citation downloads 20 0
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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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