VLP-based model for the study of airborne viral pathogens
- PMID: 38752752
- PMCID: PMC11237701
- DOI: 10.1128/spectrum.00013-24
VLP-based model for the study of airborne viral pathogens
Abstract
The recent COVID-19 pandemic has underscored the danger of airborne viral pathogens. The lack of model systems to study airborne pathogens limits the understanding of airborne pathogen distribution as well as potential surveillance and mitigation strategies. In this work, we develop a novel model system to study airborne pathogens using virus-like particles (VLPs). Specifically, we demonstrate the ability to aerosolize VLP and detect and quantify aerosolized VLP RNA by reverse transcription-loop-mediated isothermal amplification in real-time fluorescent and colorimetric assays. Importantly, the VLP model presents many advantages for the study of airborne viral pathogens: (i) similarity in size and surface components; (ii) ease of generation and noninfectious nature enabling the study of biosafety level 3 and biosafety level 4 viruses; (iii) facile characterization of aerosolization parameters; (iv) ability to adapt the system to other viral envelope proteins, including those of newly discovered pathogens and mutant variants; and (v) the ability to introduce viral sequences to develop nucleic acid amplification assays.
Importance: The study and detection of airborne pathogens are hampered by the lack of appropriate model systems. In this work, we demonstrate that noninfectious virus-like particles (VLPs) represent attractive models to study airborne viral pathogens. Specifically, VLPs are readily prepared, are similar in size and composition to infectious viruses, and are amenable to highly sensitive nucleic acid amplification techniques.
Keywords: RT-LAMP; VLP; aerosols; airborne microorganisms; coronavirus; influenza; nucleic acid technology.
Conflict of interest statement
The authors declare no conflict of interest.
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VLP-Based Model for Study of Airborne Viral Pathogens.bioRxiv [Preprint]. 2024 Jan 3:2024.01.03.574055. doi: 10.1101/2024.01.03.574055. bioRxiv. 2024. Update in: Microbiol Spectr. 2024 Jun 4;12(6):e0001324. doi: 10.1128/spectrum.00013-24. PMID: 38260552 Free PMC article. Updated. Preprint.
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