In silico analysis to identify vaccine candidates common to multiple serotypes of Shigella and evaluation of their immunogenicity

Handle URI:
http://hdl.handle.net/10754/625314
Title:
In silico analysis to identify vaccine candidates common to multiple serotypes of Shigella and evaluation of their immunogenicity
Authors:
Pahil, Sapna; Taneja, Neelam ( 0000-0003-1198-6138 ) ; Ansari, Hifzur Rahman ( 0000-0002-0646-1743 ) ; Raghava, G. P. S.
Abstract:
Shigellosis or bacillary dysentery is an important cause of diarrhea, with the majority of the cases occurring in developing countries. Considering the high disease burden, increasing antibiotic resistance, serotype-specific immunity and the post-infectious sequelae associated with shigellosis, there is a pressing need of an effective vaccine against multiple serotypes of the pathogen. In the present study, we used bio-informatics approach to identify antigens shared among multiple serotypes of Shigella spp. This approach led to the identification of many immunogenic peptides. The five most promising peptides based on MHC binding efficiency were a putative lipoprotein (EL PGI I), a putative heat shock protein (EL PGI II), Spa32 (EL PGI III), IcsB (EL PGI IV) and a hypothetical protein (EL PGI V). These peptides were synthesized and the immunogenicity was evaluated in BALB/c mice by ELISA and cytokine assays. The putative heat shock protein (HSP) and the hypothetical protein elicited good humoral response, whereas putative lipoprotein, Spa32 and IcsB elicited good T-cell response as revealed by increased IFN-γ and TNF-α cytokine levels. The patient sera from confirmed cases of shigellosis were also evaluated for the presence of peptide specific antibodies with significant IgG and IgA antibodies against the HSP and the hypothetical protein, bestowing them as potential future vaccine candidates. The antigens reported in this study are novel and have not been tested as vaccine candidates against Shigella. This study offers time and cost-effective way of identifying unprecedented immunogenic antigens to be used as potential vaccine candidates. Moreover, this approach should easily be extendable to find new potential vaccine candidates for other pathogenic bacteria.
KAUST Department:
Biological and Environmental Sciences and Engineering (BESE) Division; Pathogen Genomics Laboratory
Citation:
Pahil S, Taneja N, Ansari HR, Raghava GPS (2017) In silico analysis to identify vaccine candidates common to multiple serotypes of Shigella and evaluation of their immunogenicity. PLOS ONE 12: e0180505. Available: http://dx.doi.org/10.1371/journal.pone.0180505.
Publisher:
Public Library of Science (PLoS)
Journal:
PLOS ONE
Issue Date:
2-Aug-2017
DOI:
10.1371/journal.pone.0180505
Type:
Article
ISSN:
1932-6203
Sponsors:
We wish to thank the Indian Council of Medical Research (ICMR), New Delhi, India. The work has been granted an international patent by WIPO (World Intellectual Property Organization) in collaboration with ICMR. The Indian Council of Medical Research (ICMR), New Delhi, provided research fellowship to SP for carrying out this work as a part of her PhD thesis. The Department of Medical Microbiology, PGIMER, Chandigarh, India also funded a part of this work.
Additional Links:
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0180505
Appears in Collections:
Articles; Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorPahil, Sapnaen
dc.contributor.authorTaneja, Neelamen
dc.contributor.authorAnsari, Hifzur Rahmanen
dc.contributor.authorRaghava, G. P. S.en
dc.date.accessioned2017-08-10T11:43:33Z-
dc.date.available2017-08-10T11:43:33Z-
dc.date.issued2017-08-02en
dc.identifier.citationPahil S, Taneja N, Ansari HR, Raghava GPS (2017) In silico analysis to identify vaccine candidates common to multiple serotypes of Shigella and evaluation of their immunogenicity. PLOS ONE 12: e0180505. Available: http://dx.doi.org/10.1371/journal.pone.0180505.en
dc.identifier.issn1932-6203en
dc.identifier.doi10.1371/journal.pone.0180505en
dc.identifier.urihttp://hdl.handle.net/10754/625314-
dc.description.abstractShigellosis or bacillary dysentery is an important cause of diarrhea, with the majority of the cases occurring in developing countries. Considering the high disease burden, increasing antibiotic resistance, serotype-specific immunity and the post-infectious sequelae associated with shigellosis, there is a pressing need of an effective vaccine against multiple serotypes of the pathogen. In the present study, we used bio-informatics approach to identify antigens shared among multiple serotypes of Shigella spp. This approach led to the identification of many immunogenic peptides. The five most promising peptides based on MHC binding efficiency were a putative lipoprotein (EL PGI I), a putative heat shock protein (EL PGI II), Spa32 (EL PGI III), IcsB (EL PGI IV) and a hypothetical protein (EL PGI V). These peptides were synthesized and the immunogenicity was evaluated in BALB/c mice by ELISA and cytokine assays. The putative heat shock protein (HSP) and the hypothetical protein elicited good humoral response, whereas putative lipoprotein, Spa32 and IcsB elicited good T-cell response as revealed by increased IFN-γ and TNF-α cytokine levels. The patient sera from confirmed cases of shigellosis were also evaluated for the presence of peptide specific antibodies with significant IgG and IgA antibodies against the HSP and the hypothetical protein, bestowing them as potential future vaccine candidates. The antigens reported in this study are novel and have not been tested as vaccine candidates against Shigella. This study offers time and cost-effective way of identifying unprecedented immunogenic antigens to be used as potential vaccine candidates. Moreover, this approach should easily be extendable to find new potential vaccine candidates for other pathogenic bacteria.en
dc.description.sponsorshipWe wish to thank the Indian Council of Medical Research (ICMR), New Delhi, India. The work has been granted an international patent by WIPO (World Intellectual Property Organization) in collaboration with ICMR. The Indian Council of Medical Research (ICMR), New Delhi, provided research fellowship to SP for carrying out this work as a part of her PhD thesis. The Department of Medical Microbiology, PGIMER, Chandigarh, India also funded a part of this work.en
dc.publisherPublic Library of Science (PLoS)en
dc.relation.urlhttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0180505en
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleIn silico analysis to identify vaccine candidates common to multiple serotypes of Shigella and evaluation of their immunogenicityen
dc.typeArticleen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentPathogen Genomics Laboratoryen
dc.identifier.journalPLOS ONEen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionDepartment of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, Indiaen
dc.contributor.institutionBioinformatics Centre, Institute of Microbial Technology, Chandigarh, Indiaen
dc.contributor.institutionCentre for Computational Biology, Indraprastha Institute of Information Technology, Delhi, Indiaen
kaust.authorAnsari, Hifzur Rahmanen
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