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A consensus - Hemagglutinin-based DNA vaccine that protects mice against divergent H5N1 influenza viruses

  • Ming Wei Chen
  • , Ting Jen Rachel Cheng
  • , Yaoxing Huang
  • , Jia Tsrong Jan
  • , Shiou Hwa Ma
  • , Alice L. Yu
  • , Chi Huey Wong*
  • , David D. Ho
  • *Corresponding author for this work
  • Academia Sinica - Genomics Research Center
  • National Yang Ming Chiao Tung University
  • Rockefeller University
  • Academia Sinica Taiwan HQ
  • Aaron Diamond AIDS Research Center

Research output: Contribution to journalJournal Article peer-review

150 Scopus citations

Abstract

H5N1 influenza viruses have spread extensively among wild birds and domestic poultry. Cross-species transmission of these viruses to humans has been documented in over 380 cases, with a mortality rate of ≈60%. There is great concern that a H5N1 virus would acquire the ability to spread efficiently between humans, thereby becoming a pandemic threat. An H5N1 influenza vaccine must, therefore, be an integral part of any pandemic preparedness plan. However, traditional methods of making influenza vaccines have yet to produce a candidate that could induce potently neutralizing antibodies against divergent strains of H5N1 influenza viruses. To address this need, we generated a consensus H5N1 hemagglutinin (HA) sequence based on data available in early 2006. This sequence was then optimized for protein expression before being inserted into a DNA plasmid (pCHA5). Immunizing mice with pCHA5, delivered intramuscularly via electroporation, elicited antibodies that neutralized a panel of virions that have been pseudotyped with the HA from various H5N1 viruses (clades 1, 2.1, 2.2, 2.3.2, and 2.3.4). Moreover, immunization with pCHA5 in mice conferred complete (clades 1 and 2.2) or significant (clade 2.1) protection from H5N1 virus challenges. We conclude that this vaccine, based on a consensus HA, could induce broad protection against divergent H5N1 influenza viruses and thus warrants further study.

Original languageEnglish
Pages (from-to)13538-13543
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume105
Issue number36
DOIs
StatePublished - 09 09 2008
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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