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Open Access Research article

Using epitope predictions to evaluate efficacy and population coverage of the Mtb72f vaccine for tuberculosis

Lucy A McNamara12, Yongqun He234 and Zhenhua Yang1*

Author Affiliations

1 Department of Epidemiology University of Michigan, Ann Arbor, MI 48109, USA

2 Department of Microbiology and Immunology University of Michigan, Ann Arbor, MI 48109, USA

3 Unit for Laboratory Animal Medicine University of Michigan, Ann Arbor, MI 48109, USA

4 Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA

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BMC Immunology 2010, 11:18  doi:10.1186/1471-2172-11-18

Published: 30 March 2010

Abstract

Background

The Mtb72f subunit vaccine for tuberculosis, currently in clinical trials, is hoped to provide improved protection compared to the current BCG vaccine. It is not clear, however, whether Mtb72f would be equally protective in the different human populations suffering from a high burden of tuberculosis. Previous work by Hebert and colleagues demonstrated that the PPE18 protein of Mtb72f had significant variability in a sample of clinical M. tuberculosis isolates. However, whether this variation might impact the efficacy of Mtb72f in the context of the microbial and host immune system interactions remained to be determined. The present study assesses Mtb72f's predicted efficacy in people with different DRB1 genotypes to predict whether the vaccine will protect against diverse clinical strains of M. tuberculosis in a diverse host population.

Results

We evaluated the binding of epitopes in the vaccine to different alleles of the human DRB1 Class II MHC protein using freely available epitope prediction programs and compared protein sequences from clinical isolates to the sequences included in the Mtb72f vaccine. This analysis predicted that the Mtb72f vaccine would be less effective for several DRB1 genotypes, due either to limited vaccine epitope binding to the DRB1 proteins or to binding primarily by unconserved PPE18 epitopes. Furthermore, we found that these less-protective DRB1 alleles are found at a very high frequency in several populations with a high burden of tuberculosis.

Conclusion

Although the Mtb72f vaccine candidate has shown promise in animal and clinical trials thus far, it may not be optimally effective in some genotypic backgrounds. Due to variation in both M. tuberculosis protein sequences and epitope-binding capabilities of different HLA alleles, certain human populations with a high burden of tuberculosis may not be optimally protected by the Mtb72f vaccine. The efficacy of the Mtb72f vaccine should be further examined in these particular populations to determine whether additional protective measures might be necessary for these regions.