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Usage Information

Memory CD4+ T cells protect against influenza through multiple synergizing mechanisms
K. Kai McKinstry, Tara M. Strutt, Yi Kuang, Deborah M. Brown, Stewert Sell, Richard W. Dutton, Susan L. Swain
K. Kai McKinstry, Tara M. Strutt, Yi Kuang, Deborah M. Brown, Stewert Sell, Richard W. Dutton, Susan L. Swain
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Research Article

Memory CD4+ T cells protect against influenza through multiple synergizing mechanisms

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Abstract

Memory CD4+ T cells combat viral infection and contribute to protective immune responses through multiple mechanisms, but how these pathways interact is unclear. We found that several pathways involving memory CD4+ T cells act together to effectively clear influenza A virus (IAV) in otherwise unprimed mice. Memory CD4+ T cell protection was enhanced through synergy with naive B cells or CD8+ T cells and maximized when both were present. However, memory CD4+ T cells protected against lower viral doses independently of other lymphocytes through production of IFN-γ. Moreover, memory CD4+ T cells selected for epitope-specific viral escape mutants via a perforin-dependent pathway. By deconstructing protective immunity mediated by memory CD4+ T cells, we demonstrated that this population simultaneously acts through multiple pathways to provide a high level of protection that ensures eradication of rapidly mutating pathogens such as IAV. This redundancy indicates the need for reductionist approaches for delineating the individual mechanisms of protection mediated by memory CD4+ T cells responding to pathogens.

Authors

K. Kai McKinstry, Tara M. Strutt, Yi Kuang, Deborah M. Brown, Stewert Sell, Richard W. Dutton, Susan L. Swain

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Usage data is cumulative from February 2025 through February 2026.

Usage JCI PMC
Text version 1,253 90
PDF 143 16
Figure 500 9
Table 59 0
Supplemental data 65 2
Citation downloads 135 0
Totals 2,155 117
Total Views 2,272
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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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ISSN: 0021-9738 (print), 1558-8238 (online)

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