Abstract

Mucus in the lung plays an essential role as a barrier to infection by viral pathogens such as influenza A virus (IAV). Previous work determined mucin-associated sialic acid acts as a decoy receptor for IAV hemagglutinin (HA) binding and the sialic-acid cleaving enzyme, neuraminidase (NA), facilitates virus passage through mucus. However, it has yet to be fully addressed how the physical structure of the mucus gel influences its barrier function and its ability to trap viruses via glycan mediated interactions to prevent infection. To address this, IAV and nanoparticle diffusion in human airway mucus and mucin-based hydrogels is quantified using fluorescence video microscopy. We find the mobility of IAV in mucus is significantly influenced by the mesh structure of the gel and in contrast to prior reports, these effects likely influence virus passage through mucus gels to a greater extent than HA and NA activity. In addition, an analytical approach is developed to estimate the binding affinity of IAV to the mucus meshwork, yielding dissociation constants in the mM range, indicative of weak IAV-mucus binding. Our results provide important insights on how the adhesive and physical barrier properties of mucus influence the dissemination of IAV within the lung microenvironment.

Influenza A virus movement in mucus is found to be affected by the mesh structure of the gel network and further analysis reveals weak IAV-mucus binding.

Details

Title
Influenza A virus diffusion through mucus gel networks
Author
Kaler Logan 1   VIAFID ORCID Logo  ; Iverson, Ethan 2 ; Bader Shahed 3 ; Song, Daniel 3 ; Scull, Margaret A 2 ; Duncan, Gregg A 4   VIAFID ORCID Logo 

 University of Maryland, Biophysics Program, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177) 
 University of Maryland, Department of Cell Biology & Molecular Genetics, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177) 
 University of Maryland, Fischell Department of Bioengineering, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177) 
 University of Maryland, Biophysics Program, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177); University of Maryland, Fischell Department of Bioengineering, College Park, USA (GRID:grid.164295.d) (ISNI:0000 0001 0941 7177) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2641743009
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.