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Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach

Leptospirosis is the most widespread zoonotic disease, estimated to cause severe infection in more than one million people each year, particularly in developing countries of tropical areas. Several factors such as variable and nonspecific clinical manifestation, existence of large number of serovars...

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Autores principales: Lata, Kumari Snehkant, Kumar, Swapnil, Vaghasia, Vibhisha, Sharma, Priyanka, Bhairappanvar, Shivarudrappa B., Soni, Subhash, Das, Jayashankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932004/
https://www.ncbi.nlm.nih.gov/pubmed/29720698
http://dx.doi.org/10.1038/s41598-018-25281-3
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author Lata, Kumari Snehkant
Kumar, Swapnil
Vaghasia, Vibhisha
Sharma, Priyanka
Bhairappanvar, Shivarudrappa B.
Soni, Subhash
Das, Jayashankar
author_facet Lata, Kumari Snehkant
Kumar, Swapnil
Vaghasia, Vibhisha
Sharma, Priyanka
Bhairappanvar, Shivarudrappa B.
Soni, Subhash
Das, Jayashankar
author_sort Lata, Kumari Snehkant
collection PubMed
description Leptospirosis is the most widespread zoonotic disease, estimated to cause severe infection in more than one million people each year, particularly in developing countries of tropical areas. Several factors such as variable and nonspecific clinical manifestation, existence of large number of serovars and asymptomatic hosts spreading infection, poor sanitation and lack of an effective vaccine make prophylaxis difficult. Consequently, there is an urgent need to develop an effective vaccine to halt its spread all over the world. In this study, an immunoinformatics approach was employed to identify the most vital and effective immunogenic protein from the proteome of Leptospira interrogans serovar Copenhageni strain L1-130 that may be suitable to stimulate a significant immune response aiding in the development of peptide vaccine against leptospirosis. Both B-cell and T-cell (Helper T-lymphocyte (HTL) and cytotoxic T lymphocyte (CTL)) epitopes were predicted for the conserved and most immunogenic outer membrane lipoprotein. Further, the binding interaction of CTL epitopes with Major Histocompatibility Complex class I (MHC-I) was evaluated using docking techniques. A Molecular Dynamics Simulation study was also performed to evaluate the stability of the resulting epitope-MHC-I complexes. Overall, this study provides novel vaccine candidates and may prompt further development of vaccines against leptospirosis.
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spelling pubmed-59320042018-08-29 Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach Lata, Kumari Snehkant Kumar, Swapnil Vaghasia, Vibhisha Sharma, Priyanka Bhairappanvar, Shivarudrappa B. Soni, Subhash Das, Jayashankar Sci Rep Article Leptospirosis is the most widespread zoonotic disease, estimated to cause severe infection in more than one million people each year, particularly in developing countries of tropical areas. Several factors such as variable and nonspecific clinical manifestation, existence of large number of serovars and asymptomatic hosts spreading infection, poor sanitation and lack of an effective vaccine make prophylaxis difficult. Consequently, there is an urgent need to develop an effective vaccine to halt its spread all over the world. In this study, an immunoinformatics approach was employed to identify the most vital and effective immunogenic protein from the proteome of Leptospira interrogans serovar Copenhageni strain L1-130 that may be suitable to stimulate a significant immune response aiding in the development of peptide vaccine against leptospirosis. Both B-cell and T-cell (Helper T-lymphocyte (HTL) and cytotoxic T lymphocyte (CTL)) epitopes were predicted for the conserved and most immunogenic outer membrane lipoprotein. Further, the binding interaction of CTL epitopes with Major Histocompatibility Complex class I (MHC-I) was evaluated using docking techniques. A Molecular Dynamics Simulation study was also performed to evaluate the stability of the resulting epitope-MHC-I complexes. Overall, this study provides novel vaccine candidates and may prompt further development of vaccines against leptospirosis. Nature Publishing Group UK 2018-05-02 /pmc/articles/PMC5932004/ /pubmed/29720698 http://dx.doi.org/10.1038/s41598-018-25281-3 Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lata, Kumari Snehkant
Kumar, Swapnil
Vaghasia, Vibhisha
Sharma, Priyanka
Bhairappanvar, Shivarudrappa B.
Soni, Subhash
Das, Jayashankar
Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach
title Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach
title_full Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach
title_fullStr Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach
title_full_unstemmed Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach
title_short Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach
title_sort exploring leptospiral proteomes to identify potential candidates for vaccine design against leptospirosis using an immunoinformatics approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932004/
https://www.ncbi.nlm.nih.gov/pubmed/29720698
http://dx.doi.org/10.1038/s41598-018-25281-3
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