Cargando…
An immunoinformatic approach driven by experimental proteomics: in silico design of a subunit candidate vaccine targeting secretory proteins of Leishmania donovani amastigotes
BACKGROUND: Visceral leishmaniasis (VL) caused by dimorphic Leishmania species is a parasitic disease with high socioeconomic burden in endemic areas worldwide. Sustaining control of VL in terms of proper and prevailing immunity development is a global necessity amid unavailability of a prophylactic...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160903/ https://www.ncbi.nlm.nih.gov/pubmed/32295617 http://dx.doi.org/10.1186/s13071-020-04064-8 |
_version_ | 1783522845199958016 |
---|---|
author | Khan, Md Anik Ashfaq Ami, Jenifar Quaiyum Faisal, Khaledul Chowdhury, Rajashree Ghosh, Prakash Hossain, Faria Abd El Wahed, Ahmed Mondal, Dinesh |
author_facet | Khan, Md Anik Ashfaq Ami, Jenifar Quaiyum Faisal, Khaledul Chowdhury, Rajashree Ghosh, Prakash Hossain, Faria Abd El Wahed, Ahmed Mondal, Dinesh |
author_sort | Khan, Md Anik Ashfaq |
collection | PubMed |
description | BACKGROUND: Visceral leishmaniasis (VL) caused by dimorphic Leishmania species is a parasitic disease with high socioeconomic burden in endemic areas worldwide. Sustaining control of VL in terms of proper and prevailing immunity development is a global necessity amid unavailability of a prophylactic vaccine. Screening of experimental proteome of the human disease propagating form of Leishmania donovani (amastigote) can be more pragmatic for in silico mining of novel vaccine candidates. METHODS: By using an immunoinformatic approach, CD4+ and CD8+ T cell-specific epitopes from experimentally reported L. donovani proteins having secretory potential and increased abundance in amastigotes were screened. A chimera linked with a Toll-like receptor 4 (TLR4) peptide adjuvant was constructed and evaluated for physicochemical characteristics, binding interaction with TLR4 in simulated physiological condition and the trend of immune response following hypothetical immunization. RESULTS: Selected epitopes from physiologically important L. donovani proteins were found mostly conserved in L. infantum, covering theoretically more than 98% of the global population. The multi-epitope chimeric vaccine was predicted as stable, antigenic and non-allergenic. Structural analysis of vaccine-TLR4 receptor docked complex and its molecular dynamics simulation suggest sufficiently stable binding interface along with prospect of non-canonical receptor activation. Simulation dynamics of immune response following hypothetical immunization indicate active and memory B as well as CD4+ T cell generation potential, and likely chance of a more Th1 polarized response. CONCLUSIONS: The methodological approach and results from this study could facilitate more informed screening and selection of candidate antigenic proteins for entry into vaccine production pipeline in future to control human VL. [Image: see text] |
format | Online Article Text |
id | pubmed-7160903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71609032020-04-21 An immunoinformatic approach driven by experimental proteomics: in silico design of a subunit candidate vaccine targeting secretory proteins of Leishmania donovani amastigotes Khan, Md Anik Ashfaq Ami, Jenifar Quaiyum Faisal, Khaledul Chowdhury, Rajashree Ghosh, Prakash Hossain, Faria Abd El Wahed, Ahmed Mondal, Dinesh Parasit Vectors Research BACKGROUND: Visceral leishmaniasis (VL) caused by dimorphic Leishmania species is a parasitic disease with high socioeconomic burden in endemic areas worldwide. Sustaining control of VL in terms of proper and prevailing immunity development is a global necessity amid unavailability of a prophylactic vaccine. Screening of experimental proteome of the human disease propagating form of Leishmania donovani (amastigote) can be more pragmatic for in silico mining of novel vaccine candidates. METHODS: By using an immunoinformatic approach, CD4+ and CD8+ T cell-specific epitopes from experimentally reported L. donovani proteins having secretory potential and increased abundance in amastigotes were screened. A chimera linked with a Toll-like receptor 4 (TLR4) peptide adjuvant was constructed and evaluated for physicochemical characteristics, binding interaction with TLR4 in simulated physiological condition and the trend of immune response following hypothetical immunization. RESULTS: Selected epitopes from physiologically important L. donovani proteins were found mostly conserved in L. infantum, covering theoretically more than 98% of the global population. The multi-epitope chimeric vaccine was predicted as stable, antigenic and non-allergenic. Structural analysis of vaccine-TLR4 receptor docked complex and its molecular dynamics simulation suggest sufficiently stable binding interface along with prospect of non-canonical receptor activation. Simulation dynamics of immune response following hypothetical immunization indicate active and memory B as well as CD4+ T cell generation potential, and likely chance of a more Th1 polarized response. CONCLUSIONS: The methodological approach and results from this study could facilitate more informed screening and selection of candidate antigenic proteins for entry into vaccine production pipeline in future to control human VL. [Image: see text] BioMed Central 2020-04-15 /pmc/articles/PMC7160903/ /pubmed/32295617 http://dx.doi.org/10.1186/s13071-020-04064-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Khan, Md Anik Ashfaq Ami, Jenifar Quaiyum Faisal, Khaledul Chowdhury, Rajashree Ghosh, Prakash Hossain, Faria Abd El Wahed, Ahmed Mondal, Dinesh An immunoinformatic approach driven by experimental proteomics: in silico design of a subunit candidate vaccine targeting secretory proteins of Leishmania donovani amastigotes |
title | An immunoinformatic approach driven by experimental proteomics: in silico design of a subunit candidate vaccine targeting secretory proteins of Leishmania donovani amastigotes |
title_full | An immunoinformatic approach driven by experimental proteomics: in silico design of a subunit candidate vaccine targeting secretory proteins of Leishmania donovani amastigotes |
title_fullStr | An immunoinformatic approach driven by experimental proteomics: in silico design of a subunit candidate vaccine targeting secretory proteins of Leishmania donovani amastigotes |
title_full_unstemmed | An immunoinformatic approach driven by experimental proteomics: in silico design of a subunit candidate vaccine targeting secretory proteins of Leishmania donovani amastigotes |
title_short | An immunoinformatic approach driven by experimental proteomics: in silico design of a subunit candidate vaccine targeting secretory proteins of Leishmania donovani amastigotes |
title_sort | immunoinformatic approach driven by experimental proteomics: in silico design of a subunit candidate vaccine targeting secretory proteins of leishmania donovani amastigotes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160903/ https://www.ncbi.nlm.nih.gov/pubmed/32295617 http://dx.doi.org/10.1186/s13071-020-04064-8 |
work_keys_str_mv | AT khanmdanikashfaq animmunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT amijenifarquaiyum animmunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT faisalkhaledul animmunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT chowdhuryrajashree animmunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT ghoshprakash animmunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT hossainfaria animmunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT abdelwahedahmed animmunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT mondaldinesh animmunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT khanmdanikashfaq immunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT amijenifarquaiyum immunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT faisalkhaledul immunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT chowdhuryrajashree immunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT ghoshprakash immunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT hossainfaria immunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT abdelwahedahmed immunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes AT mondaldinesh immunoinformaticapproachdrivenbyexperimentalproteomicsinsilicodesignofasubunitcandidatevaccinetargetingsecretoryproteinsofleishmaniadonovaniamastigotes |