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Design and Pre-Clinical Evaluation of a Universal HIV-1 Vaccine

Overview of attention for article published in PLOS ONE, October 2007
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Title
Design and Pre-Clinical Evaluation of a Universal HIV-1 Vaccine
Published in
PLOS ONE, October 2007
DOI 10.1371/journal.pone.0000984
Pubmed ID
Authors

Sven Létourneau, Eung-Jun Im, Tumelo Mashishi, Choechoe Brereton, Anne Bridgeman, Hongbing Yang, Lucy Dorrell, Tao Dong, Bette Korber, Andrew J. McMichael, Tomáš Hanke

Abstract

One of the big roadblocks in development of HIV-1/AIDS vaccines is the enormous diversity of HIV-1, which could limit the value of any HIV-1 vaccine candidate currently under test. To address the HIV-1 variation, we designed a novel T cell immunogen, designated HIV(CONSV), by assembling the 14 most conserved regions of the HIV-1 proteome into one chimaeric protein. Each segment is a consensus sequence from one of the four major HIV-1 clades A, B, C and D, which alternate to ensure equal clade coverage. The gene coding for the HIV(CONSV) protein was inserted into the three most studied vaccine vectors, plasmid DNA, human adenovirus serotype 5 and modified vaccine virus Ankara (MVA), and induced HIV-1-specific T cell responses in mice. We also demonstrated that these conserved regions prime CD8(+) and CD4(+) T cell to highly conserved epitopes in humans and that these epitopes, although usually subdominant, generate memory T cells in patients during natural HIV-1 infection. Therefore, this vaccine approach provides an attractive and testable alternative for overcoming the HIV-1 variability, while focusing T cell responses on regions of the virus that are less likely to mutate and escape. Furthermore, this approach has merit in the simplicity of design and delivery, requiring only a single immunogen to provide extensive coverage of global HIV-1 population diversity.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 3 2%
United Kingdom 2 1%
Colombia 1 <1%
Germany 1 <1%
Sweden 1 <1%
Portugal 1 <1%
France 1 <1%
Spain 1 <1%
Unknown 136 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 23%
Researcher 33 22%
Student > Bachelor 17 12%
Student > Master 13 9%
Professor 7 5%
Other 21 14%
Unknown 22 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 29%
Medicine and Dentistry 40 27%
Immunology and Microbiology 14 10%
Biochemistry, Genetics and Molecular Biology 11 7%
Engineering 3 2%
Other 8 5%
Unknown 29 20%