Cargando…

Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis

Despite extensive work on influenza, a number of questions still remain open about why individuals are differently susceptible to the disease and why only some strains lead to epidemics. Here we study the effect of human leukocyte antigen (HLA) genotype heterogeneity on possible cytotoxic T-lymphocy...

Descripción completa

Detalles Bibliográficos
Autores principales: Mukherjee, Sumanta, Chandra, Nagasuma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232073/
https://www.ncbi.nlm.nih.gov/pubmed/25505972
http://dx.doi.org/10.1038/cti.2014.17
_version_ 1782344525937639424
author Mukherjee, Sumanta
Chandra, Nagasuma
author_facet Mukherjee, Sumanta
Chandra, Nagasuma
author_sort Mukherjee, Sumanta
collection PubMed
description Despite extensive work on influenza, a number of questions still remain open about why individuals are differently susceptible to the disease and why only some strains lead to epidemics. Here we study the effect of human leukocyte antigen (HLA) genotype heterogeneity on possible cytotoxic T-lymphocyte (CTL) response to 186 influenza H1N1 genomes. To enable such analysis, we reconstruct HLA genotypes in different populations using a probabilistic method. We find that epidemic strains in general correlate with poor CTL response in populations. Our analysis shows that large populations can be classified into a small number of groups called response-types, specific to a given viral strain. Individuals of a response-type are expected to exhibit similar CTL responses. Extent of CTL responses varies significantly across different populations and increases with increase in genetic heterogeneity. Overall, our analysis presents a conceptual advance towards understanding how genetic heterogeneity influences disease susceptibility in individuals and in populations. We also obtain lists of top-ranking epitopes and proteins, ranked on the basis of conservation, antigenic cross-reactivity and population coverage, which provide ready short-lists for rational vaccine design. Our method is fairly generic and has the potential to be applied for studying other viruses.
format Online
Article
Text
id pubmed-4232073
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-42320732014-12-11 Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis Mukherjee, Sumanta Chandra, Nagasuma Clin Transl Immunology Original Article Despite extensive work on influenza, a number of questions still remain open about why individuals are differently susceptible to the disease and why only some strains lead to epidemics. Here we study the effect of human leukocyte antigen (HLA) genotype heterogeneity on possible cytotoxic T-lymphocyte (CTL) response to 186 influenza H1N1 genomes. To enable such analysis, we reconstruct HLA genotypes in different populations using a probabilistic method. We find that epidemic strains in general correlate with poor CTL response in populations. Our analysis shows that large populations can be classified into a small number of groups called response-types, specific to a given viral strain. Individuals of a response-type are expected to exhibit similar CTL responses. Extent of CTL responses varies significantly across different populations and increases with increase in genetic heterogeneity. Overall, our analysis presents a conceptual advance towards understanding how genetic heterogeneity influences disease susceptibility in individuals and in populations. We also obtain lists of top-ranking epitopes and proteins, ranked on the basis of conservation, antigenic cross-reactivity and population coverage, which provide ready short-lists for rational vaccine design. Our method is fairly generic and has the potential to be applied for studying other viruses. Nature Publishing Group 2014-08-08 /pmc/articles/PMC4232073/ /pubmed/25505972 http://dx.doi.org/10.1038/cti.2014.17 Text en Copyright © 2014 Australasian Society for Immunology Inc. http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Original Article
Mukherjee, Sumanta
Chandra, Nagasuma
Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis
title Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis
title_full Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis
title_fullStr Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis
title_full_unstemmed Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis
title_short Grouping of large populations into few CTL immune ‘response-types' from influenza H1N1 genome analysis
title_sort grouping of large populations into few ctl immune ‘response-types' from influenza h1n1 genome analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232073/
https://www.ncbi.nlm.nih.gov/pubmed/25505972
http://dx.doi.org/10.1038/cti.2014.17
work_keys_str_mv AT mukherjeesumanta groupingoflargepopulationsintofewctlimmuneresponsetypesfrominfluenzah1n1genomeanalysis
AT chandranagasuma groupingoflargepopulationsintofewctlimmuneresponsetypesfrominfluenzah1n1genomeanalysis