Viral hepatitis remains a global health challenge despite recent progress in the development of more effective therapies. Although virus-specific CD8+ and CD4+ T cell responses are essential for viral clearance, it remains largely unknown what regulates T cell–mediated viral clearance. Thus, a better understanding of the regulation of anti-viral T cell immunity would be critical for the design of more effective therapies for viral hepatitis. Using a model of adenovirus-induced hepatitis, here we showed that adenoviral infection induced recruitment of Ly6Chi monocytes to the liver in a CCR2-dependent manner. These recruited Ly6Chi monocytes suppressed CD8+ and CD4+ T cell responses to adenoviral infection, leading to a delay in viral clearance. In vivo depletion of Ly6Chi monocytes markedly enhanced anti-viral T cell responses and promoted viral clearance. Mechanistically, we showed that induction of iNOS and the production of NO by Ly6Chi monocytes are critical for the suppression of T cell responses. In addition, a contact-dependent mechanism mediated by PD-1 and PD-L1 interaction is also required for T cell suppression by Ly6Chi monocytes. These findings suggest a critical role for Ly6Chi monocytes in the regulation of T cell immunity in viral hepatitis and may provide new insights into development of more effective therapies for treating viral hepatitis based on targeting the immunosuppressing monocytes.
Jiangao Zhu, Huiyao Chen, Xiaopei Huang, Songfu Jiang, Yiping Yang
Usage data is cumulative from February 2024 through February 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 223 | 55 |
51 | 21 | |
Figure | 210 | 8 |
Citation downloads | 39 | 0 |
Totals | 523 | 84 |
Total Views | 607 |
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.