Document detail
ID

doi:10.1038/s42003-022-04013-4...

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
Langue
en
Editor

Nature

Category

Life Sciences

Year

2022

listing date

10/12/2022

Keywords
h1n1 combined influenza
Metrics

Abstract

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.

When combined with interferon lambda, virucidal sialylated cyclodextrins inhibit the replication of a clinical H1N1 influenza strain in ex vivo human airway epithelia more efficiently than when delivered alone.

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, 2022, An anti-influenza combined therapy assessed by single cell RNA-sequencing, Nature

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