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Rational Design of an Epstein-Barr Virus Vaccine Targeting the Receptor-Binding Site
Open accessAbstract
SUMMARY Epstein-Barr virus (EBV) represents a major global health problem. Though it is associated with infectious mononucleosis and over 200,000 cancers annually worldwide, a vaccine is not available. The major target of immunity is EBV glycoprotein 350/220 (gp350) that mediates attachment to B cells through complement receptor 2 (CR2/CD21). Here, we created self-assembling nanoparticles that displayed different domains of gp350 in a symmetric array. By focusing presentation of the CR2-binding domain on nanoparticles, potent neutralizing antibodies were elicited in mice and non-human primates. The structurally designed nanoparticle vaccine improved vaccine-induced protection in a mouse model by targeting a functionally conserved site of vulnerability with 10- to 100-fold increased neutralization compared to soluble gp350. This rational approach to EBV vaccine design elicited potent neutralizing antibody responses by focusing on a conserved viral entry domain, a strategy that can be applied to other viruses.
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Cites
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Metadata
- Authors
- Kanekiyo, M., Bu, W., Joyce, M. G., Meng, G., Whittle, J. R. R., Baxa, U., Yamamoto, T., Narpala, S., Todd, J.-P., Rao, S. S., McDermott, A. B., Koup, R. A., Rossmann, M. G., Mascola, J. R., Graham, B. S., Cohen, J. I., & Nabel, G. J.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 162
- Issue
- 5
- Pages
- 1090-1100
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2162802735
- Cited by
- 366
- References
- 50
- FWCI
- 6.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Kanekiyo, M., Bu, W., Joyce, M. G., Meng, G., Whittle, J. R. R., Baxa, U., Yamamoto, T., Narpala, S., Todd, J.-P., Rao, S. S., McDermott, A. B., Koup, R. A., Rossmann, M. G., Mascola, J. R., Graham, B. S., Cohen, J. I., & Nabel, G. J. (2015). Rational Design of an Epstein-Barr Virus Vaccine Targeting the Receptor-Binding Site. Cell. https://doi.org/10.1016/j.cell.2015.07.043
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.