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Wrapping and Blocking of Influenza A Viruses by Sialylated 2D Nanoplatforms

Sumati Bhatia Orcid Logo, Ievgen S. Donskyi, Stephan Block, Chuanxiong Nie, Angelique Burdinski, Daniel Lauster, Jörg Radnik, Andreas Herrmann, Rainer Haag, Kai Ludwig, Mohsen Adeli Orcid Logo

Advanced Materials Interfaces, Volume: 8, Issue: 12

Swansea University Author: Sumati Bhatia Orcid Logo

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DOI (Published version): 10.1002/admi.202100285

Abstract

Inhibition of respiratory viruses is one of the most urgent topics as underlined by different pandemics in the last two decades. This impels the development of new materials for binding and incapacitation of the viruses. In this work, we have demonstrated that an optimal deployment of influenza A vi...

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Published in: Advanced Materials Interfaces
ISSN: 2196-7350 2196-7350
Published: Wiley 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa64861
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spelling v2 64861 2023-11-01 Wrapping and Blocking of Influenza A Viruses by Sialylated 2D Nanoplatforms a6b1181ebdbe42bd03b24cbdb559d082 0000-0002-5123-4937 Sumati Bhatia Sumati Bhatia true false 2023-11-01 CHEM Inhibition of respiratory viruses is one of the most urgent topics as underlined by different pandemics in the last two decades. This impels the development of new materials for binding and incapacitation of the viruses. In this work, we have demonstrated that an optimal deployment of influenza A virus (IAV) targeting ligand sialic acid (SA) on a flexible 2D platform enables its binding and wrapping around IAV particles. A series of 2D sialylated platforms consisting graphene and polyglycerol are prepared with different degrees of SA functionalization around 10%, 30%, and 90% named as G-PG-SAL, G-PG-SAM, and G-PG-SAH, respectively. The cryo-electron tomography (Cryo-ET) analysis has proved wrapping of IAV particles by G-PG-SAM. A confocal-based colocalization assay established for these materials has offered the comparison of binding potential of sialylated and non-sialylated nanoplatforms for IAV. With this method, we have estimated the binding potential of the G-PG-SAM and G-PG-SAH sheets for IAV particles around 50 and 20 times higher than the control sheets, respectively, whereas the low functionalized G-PG-SAL have not shown any significant colocalization value. Moreover, optimized G-PG-SAM exhibits high potency to block IAV from binding with the MDCK cells. Journal Article Advanced Materials Interfaces 8 12 Wiley 2196-7350 2196-7350 2D materials, graphene, influenza A virus, sialic acid, wrapping 24 6 2021 2021-06-24 10.1002/admi.202100285 http://dx.doi.org/10.1002/admi.202100285 COLLEGE NANME Chemistry COLLEGE CODE CHEM Swansea University Deutsche Forschungsgemeinschaft DFG (Grant Number: SFB 765). 2024-01-02T11:28:11.7908934 2023-11-01T10:37:58.3766663 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemistry Sumati Bhatia 0000-0002-5123-4937 1 Ievgen S. Donskyi 2 Stephan Block 3 Chuanxiong Nie 4 Angelique Burdinski 5 Daniel Lauster 6 Jörg Radnik 7 Andreas Herrmann 8 Rainer Haag 9 Kai Ludwig 10 Mohsen Adeli 0000-0001-6895-8491 11
title Wrapping and Blocking of Influenza A Viruses by Sialylated 2D Nanoplatforms
spellingShingle Wrapping and Blocking of Influenza A Viruses by Sialylated 2D Nanoplatforms
Sumati Bhatia
title_short Wrapping and Blocking of Influenza A Viruses by Sialylated 2D Nanoplatforms
title_full Wrapping and Blocking of Influenza A Viruses by Sialylated 2D Nanoplatforms
title_fullStr Wrapping and Blocking of Influenza A Viruses by Sialylated 2D Nanoplatforms
title_full_unstemmed Wrapping and Blocking of Influenza A Viruses by Sialylated 2D Nanoplatforms
title_sort Wrapping and Blocking of Influenza A Viruses by Sialylated 2D Nanoplatforms
author_id_str_mv a6b1181ebdbe42bd03b24cbdb559d082
author_id_fullname_str_mv a6b1181ebdbe42bd03b24cbdb559d082_***_Sumati Bhatia
author Sumati Bhatia
author2 Sumati Bhatia
Ievgen S. Donskyi
Stephan Block
Chuanxiong Nie
Angelique Burdinski
Daniel Lauster
Jörg Radnik
Andreas Herrmann
Rainer Haag
Kai Ludwig
Mohsen Adeli
format Journal article
container_title Advanced Materials Interfaces
container_volume 8
container_issue 12
publishDate 2021
institution Swansea University
issn 2196-7350
2196-7350
doi_str_mv 10.1002/admi.202100285
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Chemistry{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemistry
url http://dx.doi.org/10.1002/admi.202100285
document_store_str 0
active_str 0
description Inhibition of respiratory viruses is one of the most urgent topics as underlined by different pandemics in the last two decades. This impels the development of new materials for binding and incapacitation of the viruses. In this work, we have demonstrated that an optimal deployment of influenza A virus (IAV) targeting ligand sialic acid (SA) on a flexible 2D platform enables its binding and wrapping around IAV particles. A series of 2D sialylated platforms consisting graphene and polyglycerol are prepared with different degrees of SA functionalization around 10%, 30%, and 90% named as G-PG-SAL, G-PG-SAM, and G-PG-SAH, respectively. The cryo-electron tomography (Cryo-ET) analysis has proved wrapping of IAV particles by G-PG-SAM. A confocal-based colocalization assay established for these materials has offered the comparison of binding potential of sialylated and non-sialylated nanoplatforms for IAV. With this method, we have estimated the binding potential of the G-PG-SAM and G-PG-SAH sheets for IAV particles around 50 and 20 times higher than the control sheets, respectively, whereas the low functionalized G-PG-SAL have not shown any significant colocalization value. Moreover, optimized G-PG-SAM exhibits high potency to block IAV from binding with the MDCK cells.
published_date 2021-06-24T11:28:13Z
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score 11.016235

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