Abstract

Mycobacterium tuberculosis (M.tb) is responsible for more deaths globally than any other pathogen. The only available vaccine, bacillus Calmette-Guérin (BCG), has variable efficacy throughout the world. A more effective vaccine is urgently needed. The immune response against tuberculosis relies, at least in part, on CD4+ T cells. Protective vaccines require the induction of antigen-specific CD4+ T cells via mycobacterial peptides presented by MHC class-II in infected macrophages. In order to identify mycobacterial antigens bound to MHC, we have immunoprecipitated MHC class-I and class-II complexes from THP-1 macrophages infected with BCG, purified MHC class-I and MHC class-II peptides and analysed them by liquid chromatography tandem mass spectrometry. We have successfully identified 94 mycobacterial peptides presented by MHC-II and 43 presented by MHC-I, from 76 and 41 antigens, respectively. These antigens were found to be highly expressed in infected macrophages. Gene ontology analysis suggests most of these antigens are associated with membranes and involved in lipid biosynthesis and transport. The sequences of selected peptides were confirmed by spectral match validation and immunogenicity evaluated by IFN-gamma ELISpot against peripheral blood mononuclear cell from volunteers vaccinated with BCG, M.tb latently infected subjects or patients with tuberculosis disease. Three antigens were expressed in viral vectors, and evaluated as vaccine candidates alone or in combination in a murine aerosol M.tb challenge model. When delivered in combination, the three candidate vaccines conferred significant protection in the lungs and spleen compared with BCG alone, demonstrating proof-of-concept for this unbiased approach to identifying new candidate antigens.

Tuberculosis vaccines: immunopeptidomics uncovers potential vaccine antigens

Protective vaccines against Mycobacterium tuberculosis (M.tb), such as bacillus Calmette-Guérin (BCG), trigger strong CD4 T-cell responses specific to mycobacterium peptides, but their efficacy is variable. Paulo Bettencourt and colleagues now identify a set of mycobacterium peptides presented by BCG-infected macrophages via major compatibility complexes (MHC), and show that three of these antigens can be combined to formulate a vaccine that confers improved protection to Mtb infection in mice. After identifying 94 MHC-II-associated and 43 MHC-I-associated mycobacterium peptides, the researchers performed immunogenicity assays with peripheral blood mononuclear cells from BCG-vaccinated donors, latent Mtb-infected patients and patients with tuberculosis, and show that a set of these peptides was recognised by the immune cells, validating their potential as possible components for new Mtb vaccine formulations. These findings further support the value of immunopeptidomics for the identification of new antigens for effective vaccine alternatives.

Details

Title
Identification of antigens presented by MHC for vaccines against tuberculosis
Author
Bettencourt, Paulo 1   VIAFID ORCID Logo  ; Müller, Julius 1   VIAFID ORCID Logo  ; Nicastri Annalisa 2 ; Cantillon Daire 3 ; Madhavan Meera 1 ; Charles, Philip D 2   VIAFID ORCID Logo  ; Fotso, Carine B 1 ; Wittenberg, Rachel 1   VIAFID ORCID Logo  ; Bull, Naomi 1 ; Nawamin, Pinpathomrat 1 ; Waddell, Simon J 3   VIAFID ORCID Logo  ; Stylianou, Elena 1   VIAFID ORCID Logo  ; Hill, Adrian V, S 1   VIAFID ORCID Logo  ; Ternette Nicola 4   VIAFID ORCID Logo  ; McShane, Helen 1   VIAFID ORCID Logo 

 University of Oxford, Jenner Institute, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
 University of Oxford, Target Discovery Institute, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
 University of Sussex, Department of Global Health and Infection, Brighton and Sussex Medical School, Brighton, UK (GRID:grid.12082.39) (ISNI:0000 0004 1936 7590) 
 University of Oxford, Jenner Institute, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); University of Oxford, Target Discovery Institute, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20590105
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2488772509
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.