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

Abstract 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...

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Autores principales:	Kumari Snehkant Lata, Swapnil Kumar, Vibhisha Vaghasia, Priyanka Sharma, Shivarudrappa B. Bhairappanvar, Subhash Soni, Jayashankar Das
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/391b37f7e9554e21b6387cb2478ab09e
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spelling	oai:doaj.org-article:391b37f7e9554e21b6387cb2478ab09e2021-12-02T15:07:51ZExploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach10.1038/s41598-018-25281-32045-2322https://doaj.org/article/391b37f7e9554e21b6387cb2478ab09e2018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25281-3https://doaj.org/toc/2045-2322Abstract 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.Kumari Snehkant LataSwapnil KumarVibhisha VaghasiaPriyanka SharmaShivarudrappa B. BhairappanvarSubhash SoniJayashankar DasNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-15 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kumari Snehkant Lata Swapnil Kumar Vibhisha Vaghasia Priyanka Sharma Shivarudrappa B. Bhairappanvar Subhash Soni Jayashankar Das Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach
description	Abstract 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.
format	article
author	Kumari Snehkant Lata Swapnil Kumar Vibhisha Vaghasia Priyanka Sharma Shivarudrappa B. Bhairappanvar Subhash Soni Jayashankar Das
author_facet	Kumari Snehkant Lata Swapnil Kumar Vibhisha Vaghasia Priyanka Sharma Shivarudrappa B. Bhairappanvar Subhash Soni Jayashankar Das
author_sort	Kumari Snehkant Lata
title	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_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_sort	exploring leptospiral proteomes to identify potential candidates for vaccine design against leptospirosis using an immunoinformatics approach
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/391b37f7e9554e21b6387cb2478ab09e
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Exploring Leptospiral proteomes to identify potential candidates for vaccine design against Leptospirosis using an immunoinformatics approach

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