Usage Information
Citation Information: JCI Insight. 2022;7(18):e158308. https://doi.org/10.1172/jci.insight.158308.
Abstract
Cross-reactive immunity between SARS-CoV-2 and other related coronaviruses has been well-documented, and it may play a role in preventing severe COVID-19. Epidemiological studies early in the pandemic showed a geographical association between high influenza vaccination rates and lower incidence of SARS-CoV-2 infection. We, therefore, analyzed whether exposure to influenza A virus (IAV) antigens could influence the T cell repertoire in response to SARS-CoV-2, indicating a heterologous immune response between these 2 unrelated viruses. Using artificial antigen-presenting cells (aAPCs) combined with real-time reverse-transcription PCR (RT-qPCR), we developed a sensitive assay to quickly screen for antigen-specific T cell responses and detected a significant correlation between responses to SARS-CoV-2 epitopes and IAV dominant epitope (M158–66). Further analysis showed that some COVID-19 convalescent donors exhibited both T cell receptor (TCR) specificity and functional cytokine responses to multiple SARS-CoV-2 epitopes and M158–66. Utilizing an aAPC-based stimulation/expansion assay, we detected cross-reactive T cells with specificity to SARS-CoV-2 and IAV. In addition, TCR sequencing of the cross-reactive and IAV-specific T cells revealed similarities between the TCR repertoires of the two populations. These results indicate that heterologous immunity shaped by our exposure to other unrelated endemic viruses may affect our immune response to novel viruses such as SARS-CoV-2.
Authors
Worarat Chaisawangwong, Hanzhi Wang, Theodore Kouo, Sebastian F. Salathe, Ariel Isser, Joan Glick Bieler, Maya L. Zhang, Natalie K. Livingston, Shuyi Li, Joseph J. Horowitz, Ron E. Samet, Israel Zyskind, Avi Z. Rosenberg, Jonathan P. Schneck
Usage data is cumulative from September 2022 through June 2023.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 6,673 | 117 |
| 730 | 37 | |
| Figure | 565 | 4 |
| Table | 96 | 0 |
| Supplemental data | 137 | 6 |
| Citation downloads | 118 | 0 |
| Totals | 8,319 | 164 |
| Total Views | 8,483 | |
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.
