Web of Science: 2 citations, Google Scholar: citations
BPSL1626 : reverse and structural vaccinology reveal a novel candidate for vaccine design against Burkholderia pseudomallei
Capelli, Riccardo (Center for Complexity and Biosystems and Dipartimento di Fisica, Università degli Studi di Milano)
Peri, Claudio (Consiglio Nazionale delle Ricerche. Istituto di Chimica del Riconoscimento Molecolare)
Villa, Riccardo (Department of Biosciences, Università degli Studi di Milano)
Nithichanon, Arnone (Khon Kaen University. Centre for Research and Development of Medical Diagnostic Laboratories)
Conchillo-Solé, Oscar (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Yero Corona, Daniel (Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia)
Gagni, Paola (Istituto di Chimica del Riconoscimento Molecolare, Consiglio Nazionale delle Ricerche)
Chiari, Marcella (Istituto di Chimica del Riconoscimento Molecolare, Consiglio Nazionale delle Ricerche)
Lertmemongkolchai, Ganjana (Center for Research and Development of Medical Diagnostic Laboratories (CMDL), Faculty of Associated Medical Sciences, Khon Kaen University)
Cretich, Marina (Istituto di Chimica del Riconoscimento Molecolare, Consiglio Nazionale delle Ricerche)
Daura i Ribera, Xavier (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Bolognesi, Martino (Università degli Studi di Milano. Centro di Eccellenza Interdisciplinare Materiali e Interfacce Nanostrutturati)
Colombo, Giorgio (Consiglio Nazionale delle Ricerche. Istituto di Chimica del Riconoscimento Molecolare)
Gourlay, Louise J. (Università degli Studi di Milano. Centro di Eccellenza Interdisciplinare Materiali e Interfacce Nanostrutturati)

Date: 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 Å 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.
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès
Document: article ; recerca ; publishedVersion
Subject: Burkholderia ; BPSL1626 antigen ; Melioidosis ; Reverse vaccinology ; Crystal structure ; In silico epitope predictions ; Type I fimbrial subunit
Published in: Antibodies, Vol. 7 (2018) , p. 1-14

DOI: 10.3390/antib7030026
PMID: 31544878


14 p, 7.6 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (scientific output) > Health sciences and biosciences > Institut de Biotecnologia i de Biomedicina (IBB)
Articles > Research articles
Articles > Published articles

 Record created 2020-01-20, last modified 2021-01-12



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