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Engineering a multi-epitope vaccine candidate against Leishmania infantum using comprehensive Immunoinformatics methods

Visceral leishmaniasis (VL) is a severe disease with particular endemicity in over 80 countries worldwide. There is no approved human vaccine against VL in the market. This study was aimed at designing and evaluation of a multimeric vaccine candidate against Leishmania infantum through utilization o...

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Autores principales: Shams, Morteza, Nourmohammadi, Hassan, Majidiani, Hamidreza, Shariatzadeh, Seyyed Ali, Asghari, Ali, Fatollahzadeh, Mohammad, Irannejad, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628819/
https://www.ncbi.nlm.nih.gov/pubmed/34866641
http://dx.doi.org/10.1007/s11756-021-00934-3
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author Shams, Morteza
Nourmohammadi, Hassan
Majidiani, Hamidreza
Shariatzadeh, Seyyed Ali
Asghari, Ali
Fatollahzadeh, Mohammad
Irannejad, Hamid
author_facet Shams, Morteza
Nourmohammadi, Hassan
Majidiani, Hamidreza
Shariatzadeh, Seyyed Ali
Asghari, Ali
Fatollahzadeh, Mohammad
Irannejad, Hamid
author_sort Shams, Morteza
collection PubMed
description Visceral leishmaniasis (VL) is a severe disease with particular endemicity in over 80 countries worldwide. There is no approved human vaccine against VL in the market. This study was aimed at designing and evaluation of a multimeric vaccine candidate against Leishmania infantum through utilization of helper T lymphocyte (HTL) and cytotoxic T lymphocyte (CTL) immunodominant proteins from histone H1, KMP11, LACK and LeIF antigens. Top-ranked mouse MHC-I, MHC-II binders and CTL epitopes were predicted and joined together via spacers. Also, a TLR-4 agonist (RS-09 synthetic protein) and His-tag were added to the N- and C-terminal of the vaccine sequence, respectively. The final chimeric vaccine had a length of 184 amino acids with a molecular weight of 18.99 kDa. Physico-chemical features showed a soluble, highly-antigenic and non-allergenic candidate. Secondary and tertiary structures were predicted, and subsequent analyses confirmed the construct stability that was capable to properly interact with TLR-4/MD2 receptor. Immunoinformatics simulation displayed potent stimulation of T cell immune responses, with particular rise in IFN-γ, upon vaccination with the proposed multi-epitope candidate. In conclusion, immunoinformatics data demonstrated a highly antigenic vaccine candidate in mouse, which could develop considerable levels clearance mechanisms and other components of cellular immune profile, and can be directed for VL prophylactic purposes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11756-021-00934-3.
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spelling pubmed-86288192021-11-30 Engineering a multi-epitope vaccine candidate against Leishmania infantum using comprehensive Immunoinformatics methods Shams, Morteza Nourmohammadi, Hassan Majidiani, Hamidreza Shariatzadeh, Seyyed Ali Asghari, Ali Fatollahzadeh, Mohammad Irannejad, Hamid Biologia (Bratisl) Original Article Visceral leishmaniasis (VL) is a severe disease with particular endemicity in over 80 countries worldwide. There is no approved human vaccine against VL in the market. This study was aimed at designing and evaluation of a multimeric vaccine candidate against Leishmania infantum through utilization of helper T lymphocyte (HTL) and cytotoxic T lymphocyte (CTL) immunodominant proteins from histone H1, KMP11, LACK and LeIF antigens. Top-ranked mouse MHC-I, MHC-II binders and CTL epitopes were predicted and joined together via spacers. Also, a TLR-4 agonist (RS-09 synthetic protein) and His-tag were added to the N- and C-terminal of the vaccine sequence, respectively. The final chimeric vaccine had a length of 184 amino acids with a molecular weight of 18.99 kDa. Physico-chemical features showed a soluble, highly-antigenic and non-allergenic candidate. Secondary and tertiary structures were predicted, and subsequent analyses confirmed the construct stability that was capable to properly interact with TLR-4/MD2 receptor. Immunoinformatics simulation displayed potent stimulation of T cell immune responses, with particular rise in IFN-γ, upon vaccination with the proposed multi-epitope candidate. In conclusion, immunoinformatics data demonstrated a highly antigenic vaccine candidate in mouse, which could develop considerable levels clearance mechanisms and other components of cellular immune profile, and can be directed for VL prophylactic purposes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11756-021-00934-3. Springer International Publishing 2021-11-29 2022 /pmc/articles/PMC8628819/ /pubmed/34866641 http://dx.doi.org/10.1007/s11756-021-00934-3 Text en © Institute of Molecular Biology, Slovak Academy of Sciences 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Shams, Morteza
Nourmohammadi, Hassan
Majidiani, Hamidreza
Shariatzadeh, Seyyed Ali
Asghari, Ali
Fatollahzadeh, Mohammad
Irannejad, Hamid
Engineering a multi-epitope vaccine candidate against Leishmania infantum using comprehensive Immunoinformatics methods
title Engineering a multi-epitope vaccine candidate against Leishmania infantum using comprehensive Immunoinformatics methods
title_full Engineering a multi-epitope vaccine candidate against Leishmania infantum using comprehensive Immunoinformatics methods
title_fullStr Engineering a multi-epitope vaccine candidate against Leishmania infantum using comprehensive Immunoinformatics methods
title_full_unstemmed Engineering a multi-epitope vaccine candidate against Leishmania infantum using comprehensive Immunoinformatics methods
title_short Engineering a multi-epitope vaccine candidate against Leishmania infantum using comprehensive Immunoinformatics methods
title_sort engineering a multi-epitope vaccine candidate against leishmania infantum using comprehensive immunoinformatics methods
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8628819/
https://www.ncbi.nlm.nih.gov/pubmed/34866641
http://dx.doi.org/10.1007/s11756-021-00934-3
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