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Molecular Characterization of Influenza Strains in Patients Admitted to Intensive Care Units during the 2017–2018 Season

This study aimed at assessing the frequency and the distribution of influenza virus types/subtypes in 172 laboratory-confirmed influenza-positive patients admitted to intensive care units (ICUs) during the 2017–2018 season in the Lombardy region (Northern Italy), and to investigate the presence of m...

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Autores principales: Piralla, Antonio, Pariani, Elena, Giardina, Federica, Galli, Cristina, Sapia, Davide, Pellegrinelli, Laura, Novazzi, Federica, Anselmi, Giovanni, Rovida, Francesca, Mojoli, Francesco, Cereda, Danilo, Senatore, Sabrina, Baldanti, Fausto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600310/
https://www.ncbi.nlm.nih.gov/pubmed/31151205
http://dx.doi.org/10.3390/ijms20112664
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author Piralla, Antonio
Pariani, Elena
Giardina, Federica
Galli, Cristina
Sapia, Davide
Pellegrinelli, Laura
Novazzi, Federica
Anselmi, Giovanni
Rovida, Francesca
Mojoli, Francesco
Cereda, Danilo
Senatore, Sabrina
Baldanti, Fausto
author_facet Piralla, Antonio
Pariani, Elena
Giardina, Federica
Galli, Cristina
Sapia, Davide
Pellegrinelli, Laura
Novazzi, Federica
Anselmi, Giovanni
Rovida, Francesca
Mojoli, Francesco
Cereda, Danilo
Senatore, Sabrina
Baldanti, Fausto
author_sort Piralla, Antonio
collection PubMed
description This study aimed at assessing the frequency and the distribution of influenza virus types/subtypes in 172 laboratory-confirmed influenza-positive patients admitted to intensive care units (ICUs) during the 2017–2018 season in the Lombardy region (Northern Italy), and to investigate the presence of molecular pathogenicity markers. A total of 102/172 (59.3%) patients had influenza A infections (83 A/H1N1pdm09, 2 H3N2 and 17 were untyped), while the remaining 70/172 (40.7%) patients had influenza B infections. The 222G/N mutation in the hemagglutinin gene was identified in 33.3% (3/9) of A/H1N1pdm09 strains detected in the lower respiratory tract (LRT) samples and was also associated with more severe infections, whereas no peculiar mutations were observed for influenza B strains. A single-point evolution was observed in site 222 of A/H1N1pdm09 viruses, which might advantage viral evolution by favouring virus binding and replication in the lungs. Data from 17 paired upper respiratory tract (URT) and LRT samples showed that viral load in LRT samples was mostly higher than that detected in URT samples. Of note, influenza viruses were undetectable in 35% of paired URT samples. In conclusion, LRT samples appear to provide more accurate clinical information than URT samples, thus ensuring correct diagnosis and appropriate treatment of patients with severe respiratory infections requiring ICU admission.
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spelling pubmed-66003102019-07-16 Molecular Characterization of Influenza Strains in Patients Admitted to Intensive Care Units during the 2017–2018 Season Piralla, Antonio Pariani, Elena Giardina, Federica Galli, Cristina Sapia, Davide Pellegrinelli, Laura Novazzi, Federica Anselmi, Giovanni Rovida, Francesca Mojoli, Francesco Cereda, Danilo Senatore, Sabrina Baldanti, Fausto Int J Mol Sci Article This study aimed at assessing the frequency and the distribution of influenza virus types/subtypes in 172 laboratory-confirmed influenza-positive patients admitted to intensive care units (ICUs) during the 2017–2018 season in the Lombardy region (Northern Italy), and to investigate the presence of molecular pathogenicity markers. A total of 102/172 (59.3%) patients had influenza A infections (83 A/H1N1pdm09, 2 H3N2 and 17 were untyped), while the remaining 70/172 (40.7%) patients had influenza B infections. The 222G/N mutation in the hemagglutinin gene was identified in 33.3% (3/9) of A/H1N1pdm09 strains detected in the lower respiratory tract (LRT) samples and was also associated with more severe infections, whereas no peculiar mutations were observed for influenza B strains. A single-point evolution was observed in site 222 of A/H1N1pdm09 viruses, which might advantage viral evolution by favouring virus binding and replication in the lungs. Data from 17 paired upper respiratory tract (URT) and LRT samples showed that viral load in LRT samples was mostly higher than that detected in URT samples. Of note, influenza viruses were undetectable in 35% of paired URT samples. In conclusion, LRT samples appear to provide more accurate clinical information than URT samples, thus ensuring correct diagnosis and appropriate treatment of patients with severe respiratory infections requiring ICU admission. MDPI 2019-05-30 /pmc/articles/PMC6600310/ /pubmed/31151205 http://dx.doi.org/10.3390/ijms20112664 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Piralla, Antonio
Pariani, Elena
Giardina, Federica
Galli, Cristina
Sapia, Davide
Pellegrinelli, Laura
Novazzi, Federica
Anselmi, Giovanni
Rovida, Francesca
Mojoli, Francesco
Cereda, Danilo
Senatore, Sabrina
Baldanti, Fausto
Molecular Characterization of Influenza Strains in Patients Admitted to Intensive Care Units during the 2017–2018 Season
title Molecular Characterization of Influenza Strains in Patients Admitted to Intensive Care Units during the 2017–2018 Season
title_full Molecular Characterization of Influenza Strains in Patients Admitted to Intensive Care Units during the 2017–2018 Season
title_fullStr Molecular Characterization of Influenza Strains in Patients Admitted to Intensive Care Units during the 2017–2018 Season
title_full_unstemmed Molecular Characterization of Influenza Strains in Patients Admitted to Intensive Care Units during the 2017–2018 Season
title_short Molecular Characterization of Influenza Strains in Patients Admitted to Intensive Care Units during the 2017–2018 Season
title_sort molecular characterization of influenza strains in patients admitted to intensive care units during the 2017–2018 season
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600310/
https://www.ncbi.nlm.nih.gov/pubmed/31151205
http://dx.doi.org/10.3390/ijms20112664
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