Application of mycobacterial proteomics to vaccine design:: Improved protection by Mycobacterium bovis BCG prime-Rv3407 DNA boost vaccination against tuberculosis
Application of mycobacterial proteomics to vaccine design:: Improved protection by Mycobacterium bovis BCG prime-Rv3407 DNA boost vaccination against tuberculosis
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DOI:
10.1128/iai.72.11.6471-6479.2004
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发表时间:
2004-11-01
影响因子:
3.1
通讯作者:
Kaufmann, SHE
中科院分区:
文献类型:
--
作者:
Mollenkopf, HJ;Grode, L;Kaufmann, SHE
Information from comparative proteome analysis of Mycobacterium tuberculosis and Mycobacterium bovis bacillus Calmette-Guerin (BCG) principally allows prediction of potential vaccine candidates. Thirty-six M. tuberculosis DNA vaccine candidates identified by comparative proteome analysis were evaluated in the mouse model for protection against low-dose aerosol M. tuberculosis infection. We identified the DNA vaccine candidate Rv3407 as a protective antigen and analyzed putative major histocompatibility complex class I epitopes by computational predictions and gamma interferon Elispot assays. Importantly, we discovered that the DNA vaccine Rv3407 improved the efficacy of BCG vaccination in a heterologous prime-boost vaccination protocol. Our data demonstrate the rationale of a combination of proteomics, epitope prediction, and broad screening of putative antigens for identification of novel DNA vaccine candidates. Furthermore, our experiments show that heterologous prime-boost vaccination with a defined antigen boost "on top" of a BCG primer provides superior protection against tuberculosis over vaccination with BCG alone.