期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 111, 期 48, 页码 17182-17187出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1414164111
关键词
Ebola; ZMapp; EM; antibodies
资金
- Biomedical Technology Research Center program of the National Institute of General Medical Sciences [GM103310]
- National Science Foundation
- Ray Thomas Edwards Foundation
- Burroughs Welcome Fund
- National Institutes of Health (NIH) [R01AI067927]
- NIH/National Institute of Allergy and Infectious Diseases Center for Excellence in Translational Research Grant Consortium for Immuno-therapeutics Against Viral Hemorrhagic Fevers [U19AI109762]
Ebola virus (EBOV) and related filoviruses cause severe hemorrhagic fever, with up to 90% lethality, and no treatments are approved for human use. Multiple recent outbreaks of EBOV and the likelihood of future human exposure highlight the need for pre- and postexposure treatments. Monoclonal antibody (mAb) cocktails are particularly attractive candidates due to their proven postexposure efficacy in nonhuman primate models of EBOV infection. Two candidate cocktails, MB-003 and ZMAb, have been extensively evaluated in both in vitro and in vivo studies. Recently, these two therapeutics have been combined into a new cocktail named ZMapp, which showed increased efficacy and has been given compassionately to some human patients. Epitope information and mechanism of action are currently unknown for most of the component mAbs. Here we provide single-particle EM reconstructions of every mAb in the ZMapp cocktail, as well as additional antibodies from MB-003 and ZMAb. Our results illuminate key and recurring sites of vulnerability on the EBOV glycoprotein and provide a structural rationale for the efficacy of ZMapp. Interestingly, two of its components recognize overlapping epitopes and compete with each other for binding. Going forward, this work now provides a basis for strategic selection of next-generation antibody cocktails against Ebola and related viruses and a model for predicting the impact of ZMapp on potential escape mutations in ongoing or future Ebola outbreaks.
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