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Predicting the pathogenesis of influenza from genomic response: a step toward early diagnosis

Infection with influenza virus does not always lead to symptomatic illness, but it is not currently possible to predict who will be severely affected and who will have mild or no symptoms. Gene expression profiling of biofluids might unlock the complex dynamics of response to acute respiratory virus...

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Detalles Bibliográficos
Autores principales: Bortz, Eric, García-Sastre, Adolfo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239229/
https://www.ncbi.nlm.nih.gov/pubmed/22023877
http://dx.doi.org/10.1186/gm283
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author Bortz, Eric
García-Sastre, Adolfo
author_facet Bortz, Eric
García-Sastre, Adolfo
author_sort Bortz, Eric
collection PubMed
description Infection with influenza virus does not always lead to symptomatic illness, but it is not currently possible to predict who will be severely affected and who will have mild or no symptoms. Gene expression profiling of biofluids might unlock the complex dynamics of response to acute respiratory virus infections such as influenza. A recent article by Alfred Hero and colleagues used transcriptional microarray analyses to follow the response to symptomatic and asymptomatic influenza infection over time, and revealed a role for type I IFN (IFNβ and IFNα) signaling and the NLRP3 inflammasome in determining the outcome in human infections.
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spelling pubmed-32392292011-12-16 Predicting the pathogenesis of influenza from genomic response: a step toward early diagnosis Bortz, Eric García-Sastre, Adolfo Genome Med Research Highlight Infection with influenza virus does not always lead to symptomatic illness, but it is not currently possible to predict who will be severely affected and who will have mild or no symptoms. Gene expression profiling of biofluids might unlock the complex dynamics of response to acute respiratory virus infections such as influenza. A recent article by Alfred Hero and colleagues used transcriptional microarray analyses to follow the response to symptomatic and asymptomatic influenza infection over time, and revealed a role for type I IFN (IFNβ and IFNα) signaling and the NLRP3 inflammasome in determining the outcome in human infections. BioMed Central 2011-10-24 /pmc/articles/PMC3239229/ /pubmed/22023877 http://dx.doi.org/10.1186/gm283 Text en Copyright ©2011 BioMed Central Ltd.
spellingShingle Research Highlight
Bortz, Eric
García-Sastre, Adolfo
Predicting the pathogenesis of influenza from genomic response: a step toward early diagnosis
title Predicting the pathogenesis of influenza from genomic response: a step toward early diagnosis
title_full Predicting the pathogenesis of influenza from genomic response: a step toward early diagnosis
title_fullStr Predicting the pathogenesis of influenza from genomic response: a step toward early diagnosis
title_full_unstemmed Predicting the pathogenesis of influenza from genomic response: a step toward early diagnosis
title_short Predicting the pathogenesis of influenza from genomic response: a step toward early diagnosis
title_sort predicting the pathogenesis of influenza from genomic response: a step toward early diagnosis
topic Research Highlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239229/
https://www.ncbi.nlm.nih.gov/pubmed/22023877
http://dx.doi.org/10.1186/gm283
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