Title |
Heterologous prime-boost vaccination against tuberculosis with recombinant Sendai virus and DNA vaccines
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Published in |
Journal of Molecular Medicine, November 2019
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DOI | 10.1007/s00109-019-01844-3 |
Pubmed ID | |
Authors |
Zhidong Hu, Weimin Jiang, Ling Gu, Dan Qiao, Tsugumine Shu, Douglas B. Lowrie, Shui-Hua Lu, Xiao-Yong Fan |
Abstract |
In an earlier study, a novel Sendai virus-vectored anti-tuberculosis vaccine encoding Ag85A and Ag85B (SeV85AB) was constructed and shown to elicit antigen-specific T cell responses and protection against Mycobacterium tuberculosis (Mtb) infection in a murine model. In this study, we evaluate whether the immune responses induced by this novel vaccine might be elevated by a recombinant DNA vaccine expressing the same antigen in a heterologous prime-boost vaccination strategy. The results showed that both SeV85AB prime-DNA boost (SeV85AB-DNA) and DNA prime-SeV85AB boost (DNA-SeV85AB) vaccination strategies significantly enhanced the antigen-specific T cell responses induced by the separate vaccines. The SeV85AB-DNA immunization regimen induced higher levels of recall T cell responses after Mtb infection and conferred better immune protection compared with DNA-SeV85AB or a single immunization. Collectively, our study lends strong evidence that a DNA vaccine boost might be included in a novel SeV85AB immunization strategy designed to enhance the immune protection against Mtb. KEY MESSAGES: A heterologous prime-boost regimen with a novel recombinant SeV85AB and a DNA vaccine increase the T cell responses above those from a single vaccine. The heterologous prime-boost regimen provided protection against Mtb infection. The DNA vaccine might be included in a novel SeV85AB immunization strategy designed to enhance the immune protection against Mtb. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 3 | 20% |
Student > Doctoral Student | 2 | 13% |
Researcher | 1 | 7% |
Unknown | 9 | 60% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 4 | 27% |
Agricultural and Biological Sciences | 1 | 7% |
Immunology and Microbiology | 1 | 7% |
Unknown | 9 | 60% |