Usage Information
Citation Information: JCI Insight. 2017;2(4):e88226. https://doi.org/10.1172/jci.insight.88226.
Abstract
HIV-1 viremic controllers (VC) spontaneously control infection without antiretroviral treatment. Several studies indicate that IgG Abs from VCs induce enhanced responses from immune effector cells. Since signaling through Fc-γ receptors (FCGRs) modulate these Ab-driven responses, here we examine if enhanced FCGR activation is a common feature of IgG from VCs. Using an infected cell–based system, we observed that VC IgG stimulated greater FCGR2A and FCGR3A activation as compared with noncontrollers, independent of the magnitude of HIV-specific Ab binding or virus neutralization activities. Multivariate regression analysis showed that enhanced FCGR signaling was a significant predictor of VC status as compared with chronically infected patients (CIP) on highly active antiretroviral therapy (HAART). Unsupervised hierarchical clustering of patient IgG functions primarily grouped VC IgG profiles by enhanced FCGR2A, FCGR3A, or dual signaling activity. Our findings demonstrate that enhanced FCGR signaling is a common and significant predictive feature of VC IgG, with VCs displaying a distinct spectrum of FCGR activation profiles. Thus, profiling FCGR activation may provide a useful method for screening and distinguishing protective anti-HIV IgG responses in HIV-infected patients and in monitoring HIV vaccination regimens.
Authors
Raymond A. Alvarez, Ana M. Maestre, Kenneth Law, Natasha D. Durham, Maria Ines Barria, Akiko Ishii-Watabe, Minoru Tada, Manav Kapoor, Mathew T. Hotta, Gabriela Rodriguez-Caprio, Daniel S. Fierer, Ana Fernandez-Sesma, Viviana Simon, Benjamin K. Chen
Usage data is cumulative from December 2022 through December 2023.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 315 | 69 |
| 37 | 17 | |
| Figure | 112 | 0 |
| Table | 9 | 0 |
| Supplemental data | 7 | 0 |
| Citation downloads | 14 | 0 |
| Totals | 494 | 86 |
| Total Views | 580 | |
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.
