HVTN 505 is a preventative vaccine efficacy trial testing DNA followed by recombinant adenovirus serotype 5 (rAd5) in circumcised, Ad5-seronegative men and transgendered persons who have sex with men in the United States. Identified immune correlates of lower HIV-1 risk and a virus sieve analysis revealed that, despite lacking overall efficacy, vaccine-elicited responses exerted pressure on infecting HIV-1 viruses. To interrogate the mechanism of the antibody correlate of HIV-1 risk, we examined antigen-specific antibody recruitment of Fcγ receptors (FcγRs), antibody-dependent cellular phagocytosis (ADCP), and the role of anti-envelope (anti-Env) IgG3. In a prespecified immune correlates analysis, antibody-dependent monocyte phagocytosis and antibody binding to FcγRIIa correlated with decreased HIV-1 risk. Follow-up analyses revealed that anti-Env IgG3 breadth correlated with reduced HIV-1 risk, anti-Env IgA negatively modified infection risk by Fc effector functions, and that vaccine recipients with a specific FcγRIIa single-nucleotide polymorphism locus had a stronger correlation with decreased HIV-1 risk when ADCP, Env-FcγRIIa, and IgG3 binding were high. Additionally, FcγRIIa engagement correlated with decreased viral load setpoint in vaccine recipients who acquired HIV-1. These data support a role for vaccine-elicited anti–HIV-1 Env IgG3, antibody engagement of FcRs, and phagocytosis as potential mechanisms for HIV-1 prevention.
Scott D. Neidich, Youyi Fong, Shuying S. Li, Daniel E. Geraghty, Brian D. Williamson, William Chad Young, Derrick Goodman, Kelly E. Seaton, Xiaoying Shen, Sheetal Sawant, Lu Zhang, Allan C. deCamp, Bryan S. Blette, Mengshu Shao, Nicole L. Yates, Frederick Feely, Chul-Woo Pyo, Guido Ferrari, HVTN 505 Team, Ian Frank, Shelly T. Karuna, Edith M. Swann, John R. Mascola, Barney S. Graham, Scott M. Hammer, Magdalena E. Sobieszczyk, Lawrence Corey, Holly E. Janes, M. Juliana McElrath, Raphael Gottardo, Peter B. Gilbert, Georgia D. Tomaras
Usage data is cumulative from May 2024 through May 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 974 | 123 |
118 | 44 | |
Figure | 350 | 5 |
Table | 359 | 0 |
Supplemental data | 66 | 1 |
Citation downloads | 85 | 0 |
Totals | 1,952 | 173 |
Total Views | 2,125 |
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.