Literature DB >> 24561796

Identification of vaccine antigens using integrated proteomic analyses of surface immunogens from serogroup B Neisseria meningitidis.

Nikos Tsolakos1, Charlotte Brookes2, Stephen Taylor2, Andrew Gorringe2, Christoph M Tang3, Ian M Feavers4, Jun X Wheeler5.   

Abstract

Meningococcal surface proteins capable of evoking a protective immune response are candidates for inclusion in protein-based vaccines against serogroup B Neisseria meningitidis (NmB). In this study, a 2-dimensional (2-D) gel-based platform integrating surface and immune-proteomics was developed to characterize NmB surface protein antigens. The surface proteome was analyzed by differential 2-D gel electrophoresis following treatment of live bacteria with proteinase K. Alongside, proteins recognized by immune sera from mice challenged with live meningococci were detected using 2-D immunoblots. In combination, seventeen proteins were identified including the well documented antigens PorA, OpcA and factor H-binding protein, previously reported potential antigens and novel potential immunogens. Results were validated for the macrophage infectivity potentiator (MIP), a recently proposed NmB vaccine candidate. MIP-specific antisera bound to meningococci in whole-cell ELISA and facilitated opsonophagocytosis and deposition of complement factors on the surface of meningococcal isolates of different serosubtypes. Cleavage by proteinase K was confirmed in western blots and shown to occur in a fraction of the MIP expressed by meningococci suggesting transient or limited surface exposure. These observations add knowledge for the development of a protein NmB vaccine. The proteomic workflow presented here may be used for the discovery of vaccine candidates against other pathogens. BIOLOGICAL SIGNIFICANCE: This study presents an integrated proteomic strategy to identify proteins from N. meningitidis with desirable properties (i.e. surface exposure and immunogenicity) for inclusion in subunit vaccines against bacterial meningitis. The effectiveness of the method was demonstrated by the identification of some of the major meningococcal vaccine antigens. Information was also obtained about novel potential immunogens as well as the recently described potential antigen macrophage infectivity potentiator which can be useful for its consideration as a vaccine candidate. Additionally, the proteomic strategy presented in this study provides a generic 2-D gel-based platform for the discovery of vaccine candidates against other bacterial infections.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Differential gel electrophoresis; Immunoproteome; Macrophage infectivity potentiator; Meningococcal vaccines; Neisseria meningitidis; Proteomics

Mesh:

Substances:

Year:  2014        PMID: 24561796     DOI: 10.1016/j.jprot.2014.02.013

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  8 in total

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Review 2.  Secretome, surfome and immunome: emerging approaches for the discovery of new vaccine candidates against bacterial infections.

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Review 4.  Application of "Omics" Technologies for Diagnosis and Pathogenesis of Neurological Infections.

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Review 5.  How the Knowledge of Interactions between Meningococcus and the Human Immune System Has Been Used to Prepare Effective Neisseria meningitidis Vaccines.

Authors:  R Gasparini; D Panatto; N L Bragazzi; P L Lai; A Bechini; M Levi; P Durando; D Amicizia
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6.  Identification of Novel Immunogenic Proteins of Neisseria gonorrhoeae by Phage Display.

Authors:  Daniel O Connor; Jonas Zantow; Michael Hust; Frank F Bier; Markus von Nickisch-Rosenegk
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Review 7.  Update on the Neisseria Macrophage Infectivity Potentiator-Like PPIase Protein.

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Journal:  Front Cell Infect Microbiol       Date:  2022-03-22       Impact factor: 5.293

8.  Bioinformatic analysis of meningococcal Msf and Opc to inform vaccine antigen design.

Authors:  Clio A Andreae; Richard B Sessions; Mumtaz Virji; Darryl J Hill
Journal:  PLoS One       Date:  2018-03-16       Impact factor: 3.240

  8 in total

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