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Usage Information

High-affinity T helper epitope induces complementary helper and APC polarization, increased CTL, and protection against viral infection
Jeffrey D. Ahlers, Igor M. Belyakov, Elaine K. Thomas, Jay A. Berzofsky
Jeffrey D. Ahlers, Igor M. Belyakov, Elaine K. Thomas, Jay A. Berzofsky
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Article

High-affinity T helper epitope induces complementary helper and APC polarization, increased CTL, and protection against viral infection

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Abstract

Natural viral proteins do not always make optimal vaccines. We have found that sequence modification to increase epitope affinity for class II MHC molecules (epitope enhancement) can improve immunogenicity. Here we show first that a higher-affinity helper epitope-enhanced HIV vaccine not only induces more cytotoxic T lymphocytes (CTLs), but also skews helper cells toward Th1 cytokine production and protects against HIV-1 recombinant vaccinia viral challenge. Furthermore, we elucidate a novel mechanism in which the higher-affinity vaccine induces dramatically more effective helper cells with a higher level of CD40L per helper cell and more positive cells, which in turn more effectively conditions dendritic cells (DCs) for CTL activation in a second culture. The improved helper cells also induce much greater IL-12 production by DCs, accounting for the reciprocal T helper polarization to Th1, and increase costimulatory molecule expression. Thus, increasing affinity for class II MHC results in a complementary interaction in which T helper and antigen-presenting cells polarize each other, as well as increase CTL, and provide greater vaccine efficacy against viral infection.

Authors

Jeffrey D. Ahlers, Igor M. Belyakov, Elaine K. Thomas, Jay A. Berzofsky

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Usage data is cumulative from October 2025 through October 2026.

Usage JCI PMC
Text version 1,032 22
PDF 290 11
Figure 1,010 1
Citation downloads 332 0
Totals 2,664 34
Total Views 2,698
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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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