Whole blood gene expression profiles to assess pathogenesis and disease severity in infants with respiratory syncytial virus infection.

<h4>Background</h4>Respiratory syncytial virus (RSV) is the leading cause of viral lower respiratory tract infection (LRTI) and hospitalization in infants. Mostly because of the incomplete understanding of the disease pathogenesis, there is no licensed vaccine, and treatment remains symp...

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Autores principales: Asuncion Mejias, Blerta Dimo, Nicolas M Suarez, Carla Garcia, M Carmen Suarez-Arrabal, Tuomas Jartti, Derek Blankenship, Alejandro Jordan-Villegas, Monica I Ardura, Zhaohui Xu, Jacques Banchereau, Damien Chaussabel, Octavio Ramilo
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Publicado: Public Library of Science (PLoS) 2013
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spelling oai:doaj.org-article:4cd1512db74145c89c4017247684b19d2021-11-18T05:43:04ZWhole blood gene expression profiles to assess pathogenesis and disease severity in infants with respiratory syncytial virus infection.1549-12771549-167610.1371/journal.pmed.1001549https://doaj.org/article/4cd1512db74145c89c4017247684b19d2013-11-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24265599/pdf/?tool=EBIhttps://doaj.org/toc/1549-1277https://doaj.org/toc/1549-1676<h4>Background</h4>Respiratory syncytial virus (RSV) is the leading cause of viral lower respiratory tract infection (LRTI) and hospitalization in infants. Mostly because of the incomplete understanding of the disease pathogenesis, there is no licensed vaccine, and treatment remains symptomatic. We analyzed whole blood transcriptional profiles to characterize the global host immune response to acute RSV LRTI in infants, to characterize its specificity compared with influenza and human rhinovirus (HRV) LRTI, and to identify biomarkers that can objectively assess RSV disease severity.<h4>Methods and findings</h4>This was a prospective observational study over six respiratory seasons including a cohort of infants hospitalized with RSV (n = 135), HRV (n = 30), and influenza (n = 16) LRTI, and healthy age- and sex-matched controls (n = 39). A specific RSV transcriptional profile was identified in whole blood (training cohort, n = 45 infants; Dallas, Texas, US) and validated in three different cohorts (test cohort, n = 46, Dallas, Texas, US; validation cohort A, n = 16, Turku, Finland; validation cohort B, n = 28, Columbus, Ohio, US) with high sensitivity (94% [95% CI 87%-98%]) and specificity (98% [95% CI 88%-99%]). It classified infants with RSV LRTI versus HRV or influenza LRTI with 95% accuracy. The immune dysregulation induced by RSV (overexpression of neutrophil, inflammation, and interferon genes, and suppression of T and B cell genes) persisted beyond the acute disease, and immune dysregulation was greatly impaired in younger infants (<6 mo). We identified a genomic score that significantly correlated with outcomes of care including a clinical disease severity score and, more importantly, length of hospitalization and duration of supplemental O2.<h4>Conclusions</h4>Blood RNA profiles of infants with RSV LRTI allow specific diagnosis, better understanding of disease pathogenesis, and assessment of disease severity. This study opens new avenues for biomarker discovery and identification of potential therapeutic or preventive targets, and demonstrates that large microarray datasets can be translated into a biologically meaningful context and applied to the clinical setting. Please see later in the article for the Editors' Summary.Asuncion MejiasBlerta DimoNicolas M SuarezCarla GarciaM Carmen Suarez-ArrabalTuomas JarttiDerek BlankenshipAlejandro Jordan-VillegasMonica I ArduraZhaohui XuJacques BanchereauDamien ChaussabelOctavio RamiloPublic Library of Science (PLoS)articleMedicineRENPLoS Medicine, Vol 10, Iss 11, p e1001549 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
spellingShingle Medicine
R
Asuncion Mejias
Blerta Dimo
Nicolas M Suarez
Carla Garcia
M Carmen Suarez-Arrabal
Tuomas Jartti
Derek Blankenship
Alejandro Jordan-Villegas
Monica I Ardura
Zhaohui Xu
Jacques Banchereau
Damien Chaussabel
Octavio Ramilo
Whole blood gene expression profiles to assess pathogenesis and disease severity in infants with respiratory syncytial virus infection.
description <h4>Background</h4>Respiratory syncytial virus (RSV) is the leading cause of viral lower respiratory tract infection (LRTI) and hospitalization in infants. Mostly because of the incomplete understanding of the disease pathogenesis, there is no licensed vaccine, and treatment remains symptomatic. We analyzed whole blood transcriptional profiles to characterize the global host immune response to acute RSV LRTI in infants, to characterize its specificity compared with influenza and human rhinovirus (HRV) LRTI, and to identify biomarkers that can objectively assess RSV disease severity.<h4>Methods and findings</h4>This was a prospective observational study over six respiratory seasons including a cohort of infants hospitalized with RSV (n = 135), HRV (n = 30), and influenza (n = 16) LRTI, and healthy age- and sex-matched controls (n = 39). A specific RSV transcriptional profile was identified in whole blood (training cohort, n = 45 infants; Dallas, Texas, US) and validated in three different cohorts (test cohort, n = 46, Dallas, Texas, US; validation cohort A, n = 16, Turku, Finland; validation cohort B, n = 28, Columbus, Ohio, US) with high sensitivity (94% [95% CI 87%-98%]) and specificity (98% [95% CI 88%-99%]). It classified infants with RSV LRTI versus HRV or influenza LRTI with 95% accuracy. The immune dysregulation induced by RSV (overexpression of neutrophil, inflammation, and interferon genes, and suppression of T and B cell genes) persisted beyond the acute disease, and immune dysregulation was greatly impaired in younger infants (<6 mo). We identified a genomic score that significantly correlated with outcomes of care including a clinical disease severity score and, more importantly, length of hospitalization and duration of supplemental O2.<h4>Conclusions</h4>Blood RNA profiles of infants with RSV LRTI allow specific diagnosis, better understanding of disease pathogenesis, and assessment of disease severity. This study opens new avenues for biomarker discovery and identification of potential therapeutic or preventive targets, and demonstrates that large microarray datasets can be translated into a biologically meaningful context and applied to the clinical setting. Please see later in the article for the Editors' Summary.
format article
author Asuncion Mejias
Blerta Dimo
Nicolas M Suarez
Carla Garcia
M Carmen Suarez-Arrabal
Tuomas Jartti
Derek Blankenship
Alejandro Jordan-Villegas
Monica I Ardura
Zhaohui Xu
Jacques Banchereau
Damien Chaussabel
Octavio Ramilo
author_facet Asuncion Mejias
Blerta Dimo
Nicolas M Suarez
Carla Garcia
M Carmen Suarez-Arrabal
Tuomas Jartti
Derek Blankenship
Alejandro Jordan-Villegas
Monica I Ardura
Zhaohui Xu
Jacques Banchereau
Damien Chaussabel
Octavio Ramilo
author_sort Asuncion Mejias
title Whole blood gene expression profiles to assess pathogenesis and disease severity in infants with respiratory syncytial virus infection.
title_short Whole blood gene expression profiles to assess pathogenesis and disease severity in infants with respiratory syncytial virus infection.
title_full Whole blood gene expression profiles to assess pathogenesis and disease severity in infants with respiratory syncytial virus infection.
title_fullStr Whole blood gene expression profiles to assess pathogenesis and disease severity in infants with respiratory syncytial virus infection.
title_full_unstemmed Whole blood gene expression profiles to assess pathogenesis and disease severity in infants with respiratory syncytial virus infection.
title_sort whole blood gene expression profiles to assess pathogenesis and disease severity in infants with respiratory syncytial virus infection.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/4cd1512db74145c89c4017247684b19d
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