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Transcriptional Profiling of Immune and Inflammatory Responses in the Context of SARS-CoV-2 Fungal Superinfection in a Human Airway Epithelial Model
An increasing amount of evidence indicates a relatively high prevalence of superinfections associated with coronavirus disease 2019 (COVID-19), including invasive aspergillosis, but the underlying mechanisms remain to be characterized. In the present study, to better understand the biological impact...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764715/ https://www.ncbi.nlm.nih.gov/pubmed/33322535 http://dx.doi.org/10.3390/microorganisms8121974 |
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author | Nicolas de Lamballerie, Claire Pizzorno, Andrés Fouret, Julien Szpiro, Lea Padey, Blandine Dubois, Julia Julien, Thomas Traversier, Aurélien Dulière, Victoria Brun, Pauline Lina, Bruno Rosa-Calatrava, Manuel Terrier, Olivier |
author_facet | Nicolas de Lamballerie, Claire Pizzorno, Andrés Fouret, Julien Szpiro, Lea Padey, Blandine Dubois, Julia Julien, Thomas Traversier, Aurélien Dulière, Victoria Brun, Pauline Lina, Bruno Rosa-Calatrava, Manuel Terrier, Olivier |
author_sort | Nicolas de Lamballerie, Claire |
collection | PubMed |
description | An increasing amount of evidence indicates a relatively high prevalence of superinfections associated with coronavirus disease 2019 (COVID-19), including invasive aspergillosis, but the underlying mechanisms remain to be characterized. In the present study, to better understand the biological impact of superinfection, we determine and compare the host transcriptional response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) versus Aspergillus superinfection, using a model of reconstituted human airway epithelium. Our analyses reveal that both simple infection and superinfection induce strong deregulation of core components of innate immune and inflammatory responses, with a stronger response to superinfection in the bronchial epithelial model compared to its nasal counterpart. Our results also highlight unique transcriptional footprints of SARS-CoV-2 Aspergillus superinfection, such as an imbalanced type I/type III IFN, and an induction of several monocyte and neutrophil associated chemokines, that could be useful for the understanding of Aspergillus-associated COVID-19 and also the management of severe forms of aspergillosis in this specific context. |
format | Online Article Text |
id | pubmed-7764715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77647152020-12-27 Transcriptional Profiling of Immune and Inflammatory Responses in the Context of SARS-CoV-2 Fungal Superinfection in a Human Airway Epithelial Model Nicolas de Lamballerie, Claire Pizzorno, Andrés Fouret, Julien Szpiro, Lea Padey, Blandine Dubois, Julia Julien, Thomas Traversier, Aurélien Dulière, Victoria Brun, Pauline Lina, Bruno Rosa-Calatrava, Manuel Terrier, Olivier Microorganisms Article An increasing amount of evidence indicates a relatively high prevalence of superinfections associated with coronavirus disease 2019 (COVID-19), including invasive aspergillosis, but the underlying mechanisms remain to be characterized. In the present study, to better understand the biological impact of superinfection, we determine and compare the host transcriptional response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) versus Aspergillus superinfection, using a model of reconstituted human airway epithelium. Our analyses reveal that both simple infection and superinfection induce strong deregulation of core components of innate immune and inflammatory responses, with a stronger response to superinfection in the bronchial epithelial model compared to its nasal counterpart. Our results also highlight unique transcriptional footprints of SARS-CoV-2 Aspergillus superinfection, such as an imbalanced type I/type III IFN, and an induction of several monocyte and neutrophil associated chemokines, that could be useful for the understanding of Aspergillus-associated COVID-19 and also the management of severe forms of aspergillosis in this specific context. MDPI 2020-12-11 /pmc/articles/PMC7764715/ /pubmed/33322535 http://dx.doi.org/10.3390/microorganisms8121974 Text en © 2020 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 Nicolas de Lamballerie, Claire Pizzorno, Andrés Fouret, Julien Szpiro, Lea Padey, Blandine Dubois, Julia Julien, Thomas Traversier, Aurélien Dulière, Victoria Brun, Pauline Lina, Bruno Rosa-Calatrava, Manuel Terrier, Olivier Transcriptional Profiling of Immune and Inflammatory Responses in the Context of SARS-CoV-2 Fungal Superinfection in a Human Airway Epithelial Model |
title | Transcriptional Profiling of Immune and Inflammatory Responses in the Context of SARS-CoV-2 Fungal Superinfection in a Human Airway Epithelial Model |
title_full | Transcriptional Profiling of Immune and Inflammatory Responses in the Context of SARS-CoV-2 Fungal Superinfection in a Human Airway Epithelial Model |
title_fullStr | Transcriptional Profiling of Immune and Inflammatory Responses in the Context of SARS-CoV-2 Fungal Superinfection in a Human Airway Epithelial Model |
title_full_unstemmed | Transcriptional Profiling of Immune and Inflammatory Responses in the Context of SARS-CoV-2 Fungal Superinfection in a Human Airway Epithelial Model |
title_short | Transcriptional Profiling of Immune and Inflammatory Responses in the Context of SARS-CoV-2 Fungal Superinfection in a Human Airway Epithelial Model |
title_sort | transcriptional profiling of immune and inflammatory responses in the context of sars-cov-2 fungal superinfection in a human airway epithelial model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764715/ https://www.ncbi.nlm.nih.gov/pubmed/33322535 http://dx.doi.org/10.3390/microorganisms8121974 |
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