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An anti-influenza combined therapy assessed by single cell RNA-sequencing

Influenza makes millions of people ill every year, placing a large burden on the healthcare system and the economy. To develop a treatment against influenza, we combined virucidal sialylated cyclodextrins with interferon lambda and demonstrated, in human airway epithelia, that the two compounds inhi...

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Autores principales: Medaglia, Chiara, Kolpakov, Ilya, Zwygart, Arnaud Charles-Antoine, Zhu, Yong, Constant, Samuel, Huang, Song, Cagno, Valeria, Dermitzakis, Emmanouil T., Stellacci, Francesco, Xenarios, Ioannis, Tapparel, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549038/
https://www.ncbi.nlm.nih.gov/pubmed/36216966
http://dx.doi.org/10.1038/s42003-022-04013-4
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author Medaglia, Chiara
Kolpakov, Ilya
Zwygart, Arnaud Charles-Antoine
Zhu, Yong
Constant, Samuel
Huang, Song
Cagno, Valeria
Dermitzakis, Emmanouil T.
Stellacci, Francesco
Xenarios, Ioannis
Tapparel, Caroline
author_facet Medaglia, Chiara
Kolpakov, Ilya
Zwygart, Arnaud Charles-Antoine
Zhu, Yong
Constant, Samuel
Huang, Song
Cagno, Valeria
Dermitzakis, Emmanouil T.
Stellacci, Francesco
Xenarios, Ioannis
Tapparel, Caroline
author_sort Medaglia, Chiara
collection PubMed
description Influenza makes millions of people ill every year, placing a large burden on the healthcare system and the economy. To develop a treatment against influenza, we combined virucidal sialylated cyclodextrins with interferon lambda and demonstrated, in human airway epithelia, that the two compounds inhibit the replication of a clinical H1N1 strain more efficiently when administered together rather than alone. We investigated the mechanism of action of the combined treatment by single cell RNA-sequencing analysis and found that both the single and combined treatments impair viral replication to different extents across distinct epithelial cell types. We showed that each cell type comprises multiple sub-types, whose proportions are altered by H1N1 infection, and assessed the ability of the treatments to restore them. To the best of our knowledge this is the first study investigating the effectiveness of an antiviral therapy against influenza virus by single cell transcriptomic studies.
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spelling pubmed-95490382022-10-11 An anti-influenza combined therapy assessed by single cell RNA-sequencing Medaglia, Chiara Kolpakov, Ilya Zwygart, Arnaud Charles-Antoine Zhu, Yong Constant, Samuel Huang, Song Cagno, Valeria Dermitzakis, Emmanouil T. Stellacci, Francesco Xenarios, Ioannis Tapparel, Caroline Commun Biol Article Influenza makes millions of people ill every year, placing a large burden on the healthcare system and the economy. To develop a treatment against influenza, we combined virucidal sialylated cyclodextrins with interferon lambda and demonstrated, in human airway epithelia, that the two compounds inhibit the replication of a clinical H1N1 strain more efficiently when administered together rather than alone. We investigated the mechanism of action of the combined treatment by single cell RNA-sequencing analysis and found that both the single and combined treatments impair viral replication to different extents across distinct epithelial cell types. We showed that each cell type comprises multiple sub-types, whose proportions are altered by H1N1 infection, and assessed the ability of the treatments to restore them. To the best of our knowledge this is the first study investigating the effectiveness of an antiviral therapy against influenza virus by single cell transcriptomic studies. Nature Publishing Group UK 2022-10-10 /pmc/articles/PMC9549038/ /pubmed/36216966 http://dx.doi.org/10.1038/s42003-022-04013-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Medaglia, Chiara
Kolpakov, Ilya
Zwygart, Arnaud Charles-Antoine
Zhu, Yong
Constant, Samuel
Huang, Song
Cagno, Valeria
Dermitzakis, Emmanouil T.
Stellacci, Francesco
Xenarios, Ioannis
Tapparel, Caroline
An anti-influenza combined therapy assessed by single cell RNA-sequencing
title An anti-influenza combined therapy assessed by single cell RNA-sequencing
title_full An anti-influenza combined therapy assessed by single cell RNA-sequencing
title_fullStr An anti-influenza combined therapy assessed by single cell RNA-sequencing
title_full_unstemmed An anti-influenza combined therapy assessed by single cell RNA-sequencing
title_short An anti-influenza combined therapy assessed by single cell RNA-sequencing
title_sort anti-influenza combined therapy assessed by single cell rna-sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549038/
https://www.ncbi.nlm.nih.gov/pubmed/36216966
http://dx.doi.org/10.1038/s42003-022-04013-4
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