Due to significant advances in computational biology, protein prediction, together with antigen and epitope design, have rapidly moved from conventional methods, based on experimental approaches, to in silico-based bioinformatics methods. In this context, we report a reverse vaccinology study that identified a panel of 104 candidate antigens from the Gram-negative bacterial pathogen Burkholderia pseudomallei, which is responsible for the disease melioidosis. B. pseudomallei can cause fatal sepsis in endemic populations in the tropical regions of the world and treatment with antibiotics is mostly ineffective. With the aim of identifying potential vaccine candidates, we report the experimental validation of predicted antigen and type I fimbrial subunit, BPSL1626, which we show is able to recognize and bind human antibodies from the sera of Burkholderia infected patients and to stimulate T-lymphocytes in vitro. The prerequisite for a melioidosis vaccine, in fact, is that both antibody- and cell-mediated immune responses must be triggered. In order to reveal potential antigenic regions of the protein that may aid immunogen re-design, we also report the crystal structure of BPSL1626 at 1.9 angstrom resolution on which structure-based epitope predictions were based. Overall, our data suggest that BPSL1626 and three epitope regions here-identified can represent viable candidates as potential antigenic molecules.

BPSL1626 : Reverse and Structural Vaccinology Reveal a Novel Candidate for Vaccine Design Against Burkholderia pseudomallei / R. Capelli, C. Peri, R. Villa, A. Nithichanon, O. Conchillo-Solé, D. Yero, P. Gagni, M. Chiari, G. Lertmemongkolchai, M. Cretich, X. Daura, M. Bolognesi, G. Colombo, L.J. Gourlay. - In: ANTIBODIES. - ISSN 2073-4468. - 7:3(2018 Sep), pp. 26.1-26.14. [10.3390/antib7030026]

BPSL1626 : Reverse and Structural Vaccinology Reveal a Novel Candidate for Vaccine Design Against Burkholderia pseudomallei

R. Capelli
Primo
;
C. Peri
Secondo
;
R. Villa;P. Gagni;M. Bolognesi;L.J. Gourlay
Ultimo
2018

Abstract

Due to significant advances in computational biology, protein prediction, together with antigen and epitope design, have rapidly moved from conventional methods, based on experimental approaches, to in silico-based bioinformatics methods. In this context, we report a reverse vaccinology study that identified a panel of 104 candidate antigens from the Gram-negative bacterial pathogen Burkholderia pseudomallei, which is responsible for the disease melioidosis. B. pseudomallei can cause fatal sepsis in endemic populations in the tropical regions of the world and treatment with antibiotics is mostly ineffective. With the aim of identifying potential vaccine candidates, we report the experimental validation of predicted antigen and type I fimbrial subunit, BPSL1626, which we show is able to recognize and bind human antibodies from the sera of Burkholderia infected patients and to stimulate T-lymphocytes in vitro. The prerequisite for a melioidosis vaccine, in fact, is that both antibody- and cell-mediated immune responses must be triggered. In order to reveal potential antigenic regions of the protein that may aid immunogen re-design, we also report the crystal structure of BPSL1626 at 1.9 angstrom resolution on which structure-based epitope predictions were based. Overall, our data suggest that BPSL1626 and three epitope regions here-identified can represent viable candidates as potential antigenic molecules.
Burkholderia; BPSL1626 antigen; melioidosis; reverse vaccinology; crystal structure; in silico epitope predictions; type I fimbrial subunit
Settore BIO/10 - Biochimica
   Epitope grafting on bacterial vesicles to develop a novel Burkholderia vaccine. (acronym: EGV)
   READy
   MINISTERO DELL'ISTRUZIONE E DEL MERITO
   2015JTL4HL_001

   Network Regionale per lo Sviluppo di metodi Diagnostici in Risposta rapida a epidemie emergenti e bioemergenze (READy)
   HBP SGA2
   REGIONE LOMBARDIA
   ID 229472

   Human Brain Project Specific Grant Agreement 2 (HBP SGA2)
   HBP SGA2
   EUROPEAN COMMISSION
   H2020
   785907
set-2018
Article (author)
File in questo prodotto:
File Dimensione Formato  
antibodies-07-00026-v2.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 7.77 MB
Formato Adobe PDF
7.77 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/597961
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 11
social impact