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Kinetic stability modulation of polymeric nanoparticles for enhanced detection of influenza virus via penetration of viral fusion peptides

Authors
CHAEWON PARKJONG-WOO LIMGEUNSEON PARKHyun-Ouk Kim권유리Seong-Eun KimMinjoo YeomWoonsung NaDaesub SongEUNJUNG KIMSEUNGJOO HAAMSojeong Lee
Issue Date
Dec-2021
Publisher
ROYAL SOC CHEMISTRY
Keywords
mechanistic analysis; influenza virus detection; polymeric nanoparticle; host-cell-mimic system
Citation
JOURNAL OF MATERIALS CHEMISTRY B, v.9, no.47, pp.9,658 - 9,669
Journal Title
JOURNAL OF MATERIALS CHEMISTRY B
Volume
9
Number
47
Start Page
9,658
End Page
9,669
URI
https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/6022
DOI
10.1039/D1TB01847G
ISSN
2050-750X
Abstract
Specific interactions between viruses and host cells provide essential insights into material science-based strategies to combat emerging viral diseases. pH-triggered viral fusion is ubiquitous to multiple viral families and is important for understanding the viral infection cycle. Inspired by this process, virus detection has been achieved using nanomaterials with host-mimetic membranes, enabling interactions with amphiphilic hemagglutinin fusion peptides of viruses. Most research has been on designing functional nanoparticles with fusogenic capability for virus detection, and there has been little exploitation of the kinetic stability to alter the ability of nanoparticles to interact with viral membranes and improve their sensing performance. In this study, a homogeneous fluorescent assay using self-assembled polymeric nanoparticles (PNPs) with tunable responsiveness to external stimuli is developed for rapid and straightforward detection of an activated influenza A virus. Dissociation of PNPs induced by virus insertion can be readily controlled by varying the fraction of hydrophilic segments in copolymers constituting PNPs, giving rise to fluorescence signals within 30 min and detection of various influenza viruses, including H9N2, CA04(H1N1), H4N6, and H6N8. Therefore, the designs demonstrated in this study propose underlying approaches for utilizing engineered PNPs through modulation of their kinetic stability for direct and sensitive identification of infectious viruses.
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