Detection Methods for Foodborne Viruses: Current State-of-Art and Future Perspectives

Journal of Agricultural and Food Chemistry, Journal Year: 2023, Volume and Issue: 71(8), P. 3551 - 3563

Published: Jan. 19, 2023

Foodborne viruses have been recognized as important threats to food safety and human health. Rapid accurate detection is one of the most crucial measures for control. With development biology, chemistry, nanoscience, related interdisciplines, strategies devised advanced continuously. This review mainly focuses on progress methods foodborne viruses. The current are summarized, including traditional electron microscopy cultural isolation, immunoassay, molecular technology, biosensors, newly emerging CRISPR/Cas-based technology. Furthermore, a comparison was objectively discussed. provides comprehensive account virus from fundamentals state-of-the-art illustrates advantages disadvantages proposes future trends directions detection. It hoped that this can update knowledge present blueprints in order accelerate futuristic development.

Language: Английский

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Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

Viruses, Journal Year: 2023, Volume and Issue: 15(2), P. 587 - 587

Published: Feb. 20, 2023

Epidemics and pandemics have occurred since the beginning of time, resulting in millions deaths. Many such disease outbreaks are caused by viruses. Some viruses, particularly RNA characterized their high genetic variability, this can affect certain phenotypic features: tropism, antigenicity, susceptibility to antiviral drugs, vaccines, host immune response. The best strategy face emergence new infectious genomes is prompt identification. However, currently available diagnostic tests often limited for detecting agents. High-throughput next-generation sequencing technologies based on metagenomics may be solution detect properly diagnose diseases. Metagenomic techniques enable identification characterization disease-causing agents, but they require a large amount material involve complex bioinformatic analyses. A wide variety analytical tools used quality control pre-processing metagenomic data, filtering untargeted sequences, assembly reads, taxonomic profiling sequences identify viruses ones that been sequenced uploaded dedicated databases. Although there huge advances field metagenomics, still lack consensus about which various approaches should specific data analysis tasks. In review, we provide some background study viral infections, describe contribution field, place special emphasis (with capabilities limitations) use analyses pathogens.

Language: Английский

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SARS-CoV-2 particles promote airway epithelial differentiation and ciliation

Frontiers in Bioengineering and Biotechnology, Journal Year: 2023, Volume and Issue: 11

Published: Nov. 2, 2023

Introduction: The Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), which caused the disease 2019 (COVID-19) pandemic, enters human body via epithelial cells of airway tract. To trap and eject pathogens, epithelium is composed ciliated secretory that produce mucus expelled through a process called mucociliary clearance. Methods: This study examines early stages contact between SARS-CoV-2 particles epithelium, utilizing 3D tri-culture models exposed to ultraviolet light-irradiated virus particles. These cultures are endothelial tracheal mesenchymal in fibrin hydrogel matrix covered by mucociliated cells. Results: We found trigger significant increase ciliation on surface instructed differentiation club basal stem with also provoked loss cell-cell tight junctions impaired barrier integrity. Further immunofluorescence analyses revealed an FOXJ1 expression PAK1/2 phosphorylation associated particle-induced ciliation. Discussion: An understanding responses may be instrumental prevent or treat infectious diseases such as COVID-19.

Language: Английский

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Analyzing atomic force microscopy images of virus-like particles by expectation-maximization

npj Vaccines, Journal Year: 2024, Volume and Issue: 9(1)

Published: June 20, 2024

Abstract Analysis of virus-like particles (VLPs) is an essential task in optimizing their implementation as vaccine antigens for virus-initiated diseases. Interrogating VLP collections elasticity by probing with a rigid atomic force microscopy (AFM) tip potential method determining morphological changes. During change, it not expected that all VLPs would be the same state. This leads to open question whether may change continuous or stepwise fashion. For statistical distribution observed properties single distribution, while lead multimodal properties. study presents application Gaussian mixture model (GMM), fit Expectation-Maximization (EM) algorithm, identify different states AFM imaging.

Language: Английский

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