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Bioinformatics characterization of envelope glycoprotein from Kyasanur Forest disease virus

BACKGROUND & OBJECTIVES: Kyasanur Forest disease (KFD) is a febrile illness characterized by haemorrhages and caused by KFD virus (KFDV), which belongs to the Flaviviridae family. It is reported to be an endemic disease in Shimoga district of Karnataka State, India, especially in forested and ad...

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Autores principales: Shil, Pratip, Yadav, Pragya Dhruv, Patil, Avinash A., Balasubramanian, R., Mourya, Devendra T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991130/
https://www.ncbi.nlm.nih.gov/pubmed/29806609
http://dx.doi.org/10.4103/ijmr.IJMR_1445_16
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author Shil, Pratip
Yadav, Pragya Dhruv
Patil, Avinash A.
Balasubramanian, R.
Mourya, Devendra T.
author_facet Shil, Pratip
Yadav, Pragya Dhruv
Patil, Avinash A.
Balasubramanian, R.
Mourya, Devendra T.
author_sort Shil, Pratip
collection PubMed
description BACKGROUND & OBJECTIVES: Kyasanur Forest disease (KFD) is a febrile illness characterized by haemorrhages and caused by KFD virus (KFDV), which belongs to the Flaviviridae family. It is reported to be an endemic disease in Shimoga district of Karnataka State, India, especially in forested and adjoining areas. Several outbreaks have been reported in newer areas, which raised queries regarding the changing nature of structural proteins if any. The objective of the study was to investigate amino acid composition and antigenic variability if any, among the envelope glycoprotein (E-proteins) from old and new strains of KFDV. METHODS: Bioinformatic tools and techniques were used to predict B-cell epitopes and three-dimensional structures and to compare envelope glycoprotein (E-proteins) between the old strains of KFDV and those from emerging outbreaks till 2015. RESULTS: The strain from recent outbreak in Thirthahalli, Karnataka State (2014), was similar to the older strain of KFDV (99.2%). Although mutations existed in strains from 2015 in Kerala KFD sequences, these did not alter the epitopes. INTERPRETATION & CONCLUSIONS: The study revealed that though mutations existed, there were no drastic changes in the structure or antigenicity of the E-proteins from recent outbreaks. Hence, no correlation could be established between the mutations and detection in new geographical areas. It seems that KFDV must be present earlier also in many States and due to availability of testing system and alertness coming into notice now.
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spelling pubmed-59911302018-06-21 Bioinformatics characterization of envelope glycoprotein from Kyasanur Forest disease virus Shil, Pratip Yadav, Pragya Dhruv Patil, Avinash A. Balasubramanian, R. Mourya, Devendra T. Indian J Med Res Original Article BACKGROUND & OBJECTIVES: Kyasanur Forest disease (KFD) is a febrile illness characterized by haemorrhages and caused by KFD virus (KFDV), which belongs to the Flaviviridae family. It is reported to be an endemic disease in Shimoga district of Karnataka State, India, especially in forested and adjoining areas. Several outbreaks have been reported in newer areas, which raised queries regarding the changing nature of structural proteins if any. The objective of the study was to investigate amino acid composition and antigenic variability if any, among the envelope glycoprotein (E-proteins) from old and new strains of KFDV. METHODS: Bioinformatic tools and techniques were used to predict B-cell epitopes and three-dimensional structures and to compare envelope glycoprotein (E-proteins) between the old strains of KFDV and those from emerging outbreaks till 2015. RESULTS: The strain from recent outbreak in Thirthahalli, Karnataka State (2014), was similar to the older strain of KFDV (99.2%). Although mutations existed in strains from 2015 in Kerala KFD sequences, these did not alter the epitopes. INTERPRETATION & CONCLUSIONS: The study revealed that though mutations existed, there were no drastic changes in the structure or antigenicity of the E-proteins from recent outbreaks. Hence, no correlation could be established between the mutations and detection in new geographical areas. It seems that KFDV must be present earlier also in many States and due to availability of testing system and alertness coming into notice now. Medknow Publications & Media Pvt Ltd 2018-02 /pmc/articles/PMC5991130/ /pubmed/29806609 http://dx.doi.org/10.4103/ijmr.IJMR_1445_16 Text en Copyright: © 2018 Indian Journal of Medical Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Shil, Pratip
Yadav, Pragya Dhruv
Patil, Avinash A.
Balasubramanian, R.
Mourya, Devendra T.
Bioinformatics characterization of envelope glycoprotein from Kyasanur Forest disease virus
title Bioinformatics characterization of envelope glycoprotein from Kyasanur Forest disease virus
title_full Bioinformatics characterization of envelope glycoprotein from Kyasanur Forest disease virus
title_fullStr Bioinformatics characterization of envelope glycoprotein from Kyasanur Forest disease virus
title_full_unstemmed Bioinformatics characterization of envelope glycoprotein from Kyasanur Forest disease virus
title_short Bioinformatics characterization of envelope glycoprotein from Kyasanur Forest disease virus
title_sort bioinformatics characterization of envelope glycoprotein from kyasanur forest disease virus
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991130/
https://www.ncbi.nlm.nih.gov/pubmed/29806609
http://dx.doi.org/10.4103/ijmr.IJMR_1445_16
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