Antibody-Based Strategies to Prevent and Treat Influenza
Name
Shriver-2015-Antibody-Based Strat.pdf
Size
4.33 MB
Format
Adobe PDF
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Author(s)
Shriver, Zachary
Trevejo, Jose M.
Sasisekharan, Ram
Date Issued
July 2015
Journal
Frontiers in Immunology
Publisher
Frontiers Research Foundation
Citation
Shriver, Zachary, Jose M. Trevejo, and Ram Sasisekharan. “Antibody-Based Strategies to Prevent and Treat Influenza.” Frontiers in Immunology 6 (July 13, 2015).
Version
Final published version
Abstract
Passive immunization using antibodies is a promising alternative to other antiviral treatment options. The potential for seasonal protection arising from a single injection of antibodies is appealing and has been pursued for a number of infectious agents. However, until recently, antibody-based strategies to combat infectious agents have been hampered due to the fact that most antibodies have been found to be strain specific, with the virus evolving resistance in many cases. The discovery of broadly neutralizing antibodies (bNAbs) in influenza, dengue virus, and HIV, which bind to multiple, structurally diverse strains, has provided renewed interest in this area. This review will focus on new technologies that enable the discovery of bNAbs, the challenges and opportunities of immunotherapies as an important addition to existing antiviral therapy, and the role of antibody discovery in informing rational vaccine discovery – with agents targeting influenza specifically addressed. Multiple candidates have entered the clinic and raise the possibility that a single antibody or small combination of antibodies can effectively neutralize a wide variety of strains. However, challenges remain – including combating escape variants, pharmacodynamics of antibody distribution, and development of efficacy biomarkers beyond virologic endpoints.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. School of Engineering
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.3389/fimmu.2015.00315
