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Usage Information

The role of herpesvirus entry mediator as a negative regulator of T cell–mediated responses
Yang Wang, Sumit K. Subudhi, Robert A. Anders, James Lo, Yonglian Sun, Sarah Blink, Yugang Wang, Jing Wang, Xiaojuan Liu, Karin Mink, Daniel Degrandi, Klaus Pfeffer, Yang-Xin Fu
Yang Wang, Sumit K. Subudhi, Robert A. Anders, James Lo, Yonglian Sun, Sarah Blink, Yugang Wang, Jing Wang, Xiaojuan Liu, Karin Mink, Daniel Degrandi, Klaus Pfeffer, Yang-Xin Fu
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Article Autoimmunity

The role of herpesvirus entry mediator as a negative regulator of T cell–mediated responses

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Abstract

Herpesvirus entry mediator (HVEM), a TNF receptor superfamily member, has been previously described as a T cell costimulatory receptor. Surprisingly, HVEM–/– T cells showed enhanced responses to in vitro concanavalin A (ConA) stimulation when compared with WT T cells. Consistent with these findings, HVEM–/– mice exhibited increased morbidity and mortality as compared with WT mice in a model of ConA-mediated T cell–dependent autoimmune hepatitis. HVEM–/– mice produced higher levels of multiple cytokines, which were dependent on the presence of CD4+ T cells. Furthermore, HVEM–/– mice were more susceptible to MOG peptide–induced experimental autoimmune encephalopathy, and they showed increased T cell proliferation and cytokine production in response to antigen-specific challenge. Taken together, our data revealed an unexpected regulatory role of HVEM in T cell–mediated immune responses and autoimmune diseases.

Authors

Yang Wang, Sumit K. Subudhi, Robert A. Anders, James Lo, Yonglian Sun, Sarah Blink, Yugang Wang, Jing Wang, Xiaojuan Liu, Karin Mink, Daniel Degrandi, Klaus Pfeffer, Yang-Xin Fu

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Usage data is cumulative from January 2025 through January 2026.

Usage JCI PMC
Text version 946 0
PDF 137 0
Figure 424 0
Citation downloads 105 0
Totals 1,612 0
Total Views 1,612
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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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