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Impact of Preexisting Adenovirus Vector Immunity on Immunogenicity and Protection Conferred with an Adenovirus-Based H5N1 Influenza Vaccine

Overview of attention for article published in PLOS ONE, March 2012
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Title
Impact of Preexisting Adenovirus Vector Immunity on Immunogenicity and Protection Conferred with an Adenovirus-Based H5N1 Influenza Vaccine
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033428
Pubmed ID
Authors

Aseem Pandey, Neetu Singh, Sai V. Vemula, Laurent Couëtil, Jacqueline M. Katz, Ruben Donis, Suryaprakash Sambhara, Suresh K. Mittal

Abstract

The prevalence of preexisting immunity to adenoviruses in the majority of the human population might adversely impact the development of adaptive immune responses against adenovirus vector-based vaccines. To address this issue, we primed BALB/c mice either intranasally (i.n.) or intramuscularly (i.m.) with varying doses of wild type (WT) human adenovirus subtype 5 (HAd5). Following the development of immunity against HAd5, we immunized animals via the i.n. or i.m. route of inoculation with a HAd vector (HAd-HA-NP) expressing the hemagglutinin (HA) and nucleoprotein (NP) of A/Vietnam/1203/04 (H5N1) influenza virus. The immunogenicity and protection results suggest that low levels of vector immunity (<520 virus-neutralization titer) induced by priming mice with up to 10(7) plaque forming units (p.f.u.) of HAd-WT did not adversely impact the protective efficacy of the vaccine. Furthermore, high levels of vector immunity (approximately 1500 virus-neutralization titer) induced by priming mice with 10(8) p.f.u. of HAd-WT were overcome by either increasing the vaccine dose or using alternate routes of vaccination. A further increase in the priming dose to 10(9) p.f.u. allowed only partial protection. These results suggest possible strategies to overcome the variable levels of human immunity against adenoviruses, leading to better utilization of HAd vector-based vaccines.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Researcher 9 14%
Student > Bachelor 9 14%
Student > Master 9 14%
Professor > Associate Professor 3 5%
Other 6 9%
Unknown 10 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 27%
Medicine and Dentistry 12 19%
Biochemistry, Genetics and Molecular Biology 10 16%
Immunology and Microbiology 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Other 7 11%
Unknown 9 14%