Usage Information
Citation Information: JCI Insight. 2020;5(6):e131644. https://doi.org/10.1172/jci.insight.131644.
Abstract
Epstein-Barr Virus (EBV) is a ubiquitous virus linked to a variety of lymphoid and epithelial malignancies. In solid organ and hematopoietic stem cell transplant recipients, EBV is causally associated with posttransplant lymphoproliferative disorder (PTLD), a group of heterogeneous lymphoid diseases. EBV+ B cell lymphomas that develop in the context of PTLD are generally attributed to the immunosuppression required to promote graft survival, but little is known regarding the role of EBV genome diversity in the development of malignancy. We deep-sequenced the EBV genome from the peripheral blood of 18 solid organ transplant recipients, including 6 PTLD patients. Sequences from 6 EBV+ spontaneous lymphoblastoid B cell lines (SLCL) were similarly analyzed. The EBV genome from PTLD patients had a significantly greater number of variations than EBV from transplant recipients without PTLD. Importantly, there were 15 nonsynonymous variations, including 8 in the latent cycle gene EBNA3C that were associated with the development of PTLD. One of the nonsynonymous variations in EBNA3C is located within a previously defined T cell epitope. These findings suggest that variations in the EBV genome can contribute to the pathogenesis of PTLD.
Authors
Eden M. Maloney, Vincent A. Busque, Sin Ting Hui, Jiaying Toh, Marcelo Fernandez-Vina, Sheri M. Krams, Carlos O. Esquivel, Olivia M. Martinez
Usage data is cumulative from March 2024 through March 2025.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 295 | 74 |
| 64 | 25 | |
| Figure | 138 | 1 |
| Table | 101 | 0 |
| Supplemental data | 25 | 0 |
| Citation downloads | 51 | 0 |
| Totals | 674 | 100 |
| Total Views | 774 | |
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.
