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Transcriptomic profiling facilitates classification of response to influenza challenge
ABSTRACT: Despite increases in vaccination coverage, reductions in influenza-related mortality have not been observed. Better vaccines are therefore required and influenza challenge studies can be used to test the efficacy of new vaccines. However, this requires the accurate post-challenge classific...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4281383/ https://www.ncbi.nlm.nih.gov/pubmed/25345603 http://dx.doi.org/10.1007/s00109-014-1212-8 |
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author | Davenport, Emma E. Antrobus, Richard D. Lillie, Patrick J. Gilbert, Sarah Knight, Julian C. |
author_facet | Davenport, Emma E. Antrobus, Richard D. Lillie, Patrick J. Gilbert, Sarah Knight, Julian C. |
author_sort | Davenport, Emma E. |
collection | PubMed |
description | ABSTRACT: Despite increases in vaccination coverage, reductions in influenza-related mortality have not been observed. Better vaccines are therefore required and influenza challenge studies can be used to test the efficacy of new vaccines. However, this requires the accurate post-challenge classification of subjects by outcome, which is limited in current methods that use artificial thresholds to assign ‘symptomatic’ and ‘asymptomatic’ phenotypes. We present data from an influenza challenge study in which 22 healthy adults (11 vaccinated) were inoculated with H3N2 influenza (A/Wisconsin/67/2005). We generated genome-wide gene expression data from peripheral blood taken immediately before the challenge and at 12, 24 and 48 h post-challenge. Variation in symptomatic scoring was found amongst those with laboratory confirmed influenza. By combining the dynamic transcriptomic data with the clinical parameters this variability can be reduced. We identified four subjects with severe laboratory confirmed influenza that show differential gene expression in 1103 probes 48 h post-challenge compared to the remaining subjects. We have further reduced this profile to six genes (CCL2, SEPT4, LAMP3, RTP4, MT1G and OAS3) that can be used to define these subjects. We have used this gene set to predict symptomatic infection from an independent study. This analysis gives further insight into host-pathogen interactions during influenza infection. However, the major potential value is in the clinical trial setting by providing a more quantitative method to better classify symptomatic individuals post influenza challenge. KEY MESSAGE: Differential gene expression signatures are seen following influenza challenge. Expression of six predictive genes can classify response to influenza challenge. The genomic influenza response classification replicates in an independent dataset. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00109-014-1212-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4281383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-42813832015-01-05 Transcriptomic profiling facilitates classification of response to influenza challenge Davenport, Emma E. Antrobus, Richard D. Lillie, Patrick J. Gilbert, Sarah Knight, Julian C. J Mol Med (Berl) Original Article ABSTRACT: Despite increases in vaccination coverage, reductions in influenza-related mortality have not been observed. Better vaccines are therefore required and influenza challenge studies can be used to test the efficacy of new vaccines. However, this requires the accurate post-challenge classification of subjects by outcome, which is limited in current methods that use artificial thresholds to assign ‘symptomatic’ and ‘asymptomatic’ phenotypes. We present data from an influenza challenge study in which 22 healthy adults (11 vaccinated) were inoculated with H3N2 influenza (A/Wisconsin/67/2005). We generated genome-wide gene expression data from peripheral blood taken immediately before the challenge and at 12, 24 and 48 h post-challenge. Variation in symptomatic scoring was found amongst those with laboratory confirmed influenza. By combining the dynamic transcriptomic data with the clinical parameters this variability can be reduced. We identified four subjects with severe laboratory confirmed influenza that show differential gene expression in 1103 probes 48 h post-challenge compared to the remaining subjects. We have further reduced this profile to six genes (CCL2, SEPT4, LAMP3, RTP4, MT1G and OAS3) that can be used to define these subjects. We have used this gene set to predict symptomatic infection from an independent study. This analysis gives further insight into host-pathogen interactions during influenza infection. However, the major potential value is in the clinical trial setting by providing a more quantitative method to better classify symptomatic individuals post influenza challenge. KEY MESSAGE: Differential gene expression signatures are seen following influenza challenge. Expression of six predictive genes can classify response to influenza challenge. The genomic influenza response classification replicates in an independent dataset. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00109-014-1212-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2014-10-28 2015 /pmc/articles/PMC4281383/ /pubmed/25345603 http://dx.doi.org/10.1007/s00109-014-1212-8 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Original Article Davenport, Emma E. Antrobus, Richard D. Lillie, Patrick J. Gilbert, Sarah Knight, Julian C. Transcriptomic profiling facilitates classification of response to influenza challenge |
title | Transcriptomic profiling facilitates classification of response to influenza challenge |
title_full | Transcriptomic profiling facilitates classification of response to influenza challenge |
title_fullStr | Transcriptomic profiling facilitates classification of response to influenza challenge |
title_full_unstemmed | Transcriptomic profiling facilitates classification of response to influenza challenge |
title_short | Transcriptomic profiling facilitates classification of response to influenza challenge |
title_sort | transcriptomic profiling facilitates classification of response to influenza challenge |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4281383/ https://www.ncbi.nlm.nih.gov/pubmed/25345603 http://dx.doi.org/10.1007/s00109-014-1212-8 |
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