Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242562PMC
http://dx.doi.org/10.1002/jmv.27092DOI Listing

Publication Analysis

Top Keywords

emergence sars-cov-2
4
sars-cov-2 b117
4
b117 variant
4
variant observed
4
observed poitiers
4
poitiers university
4
university hospital
4
emergence
1
b117
1
variant
1

Similar Publications

Mathematical models of viral dynamics are crucial in understanding infection trajectories. However, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load data often includes limited sparse observations with significant heterogeneity. This study aims to: (1) understand the impact of patient characteristics in shaping the temporal viral load trajectory and (2) establish a data collection protocol (DCP) to reliably reconstruct individual viral load trajectories.

View Article and Find Full Text PDF

The meat processing industry was significantly impacted by the COVID-19 pandemic. Deemed essential, the meat processing workforce faced the risk of exposure to the SARS-CoV-2 virus. Along with other essential workforces, meat processing workers were prioritized in the national approach to receive COVID-19 vaccines by the Centers for Disease Control and Prevention Advisory Committee on Immunization Practices.

View Article and Find Full Text PDF

CRISPR-Cas-based lateral flow assays (LFAs) have emerged as a promising diagnostic tool for ultrasensitive detection of nucleic acids, offering improved speed, simplicity and cost-effectiveness compared to polymerase chain reaction (PCR)-based assays. However, visual interpretation of CRISPR-Cas-based LFA test results is prone to human error, potentially leading to false-positive or false-negative outcomes when analyzing test/control lines. To address this limitation, we have developed two neural network models: one based on a fully convolutional neural network and the other on a lightweight mobile-optimized neural network for automated interpretation of CRISPR-Cas-based LFA test results.

View Article and Find Full Text PDF

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus is the causative agent of the emerging zoonotic respiratory disease. One of the most important prerequisites for combating emerging diseases is the development of vaccines within a short period of time. In this study, antigen-irradiated, inactivated SARS-CoV-2 viruses and the disaccharide trehalose were used to enhance immune responses in the Syrian hamster.

View Article and Find Full Text PDF

This review assesses the antiviral capabilities of antimicrobial peptides (AMPs) against SARS-CoV-2 and other respiratory viruses, focussing on their therapeutic potential. AMPs, derived from natural sources, exhibit promising antiviral properties by disrupting viral membranes, inhibiting viral entry, and modulating host immune responses. Preclinical studies demonstrate that peptides such as defensins, cathelicidins, and lactoferrin can effectively reduce SARS-CoV-2 replication and inhibit viral spread.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!