Usage Information
Abstract
The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), coupled with a lack of therapeutics, has paralyzed the globe. Although significant effort has been invested in identifying antibodies that block infection, the ability of antibodies to target infected cells through Fc interactions may be vital to eliminate the virus. To explore the role of Fc activity in SARS-CoV-2 immunity, the functional potential of a cross–SARS-reactive antibody, CR3022, was assessed. CR3022 was able to broadly drive antibody effector functions, providing critical immune clearance at entry and upon egress. Using selectively engineered Fc variants, no protection was observed after administration of WT IgG1 in mice or hamsters. Conversely, the functionally enhanced Fc variant resulted in increased pathology in both the mouse and hamster models, causing weight loss in mice and enhanced viral replication and weight loss in the more susceptible hamster model, highlighting the pathological functions of Fc-enhancing mutations. These data point to the critical need for strategic Fc engineering for the treatment of SARS-CoV-2 infection.
Authors
Caroline Atyeo, Matthew D. Slein, Stephanie Fischinger, John Burke, Alexandra Schäfer, Sarah R. Leist, Natalia A. Kuzmina, Chad Mire, Anna Honko, Rebecca Johnson, Nadia Storm, Matthew Bernett, Pei Tong, Teng Zuo, Junrui Lin, Adam Zuiani, Caitlyn Linde, Todd Suscovich, Duane R. Wesemann, Anthony Griffiths, John R. Desjarlais, Boris D. Juelg, Jaap Goudsmit, Alexander Bukreyev, Ralph Baric, Galit Alter
Usage data is cumulative from December 2024 through December 2025.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 617 | 98 |
| 129 | 24 | |
| Figure | 234 | 7 |
| Table | 45 | 0 |
| Citation downloads | 101 | 0 |
| Totals | 1,126 | 129 |
| Total Views | 1,255 | |
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.
