Pyridobenzothiazolone derivatives are a promising class of broad-spectrum antivirals. However, the mode of action of these compounds remains poorly understood. The HeE1-17Y derivative has already been shown to be a potent compound against a variety of flaviviruses of global relevance. In this work, the mode of action of HeE1-17Y has been studied for West Nile virus taking advantage of reporter replication particles (RRPs). Viral infectivity was drastically reduced by incubating the compound with the virus before infection, thus suggesting a direct interaction with the viral particles. Indeed, RRPs incubated with the inhibitor appeared to be severely compromised in electron microscopy analysis. HeE1-17Y is active against other enveloped viruses, including SARS-CoV-2, but not against two non-enveloped viruses, suggesting a virucidal mechanism that involves the alteration of the viral membrane.
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http://dx.doi.org/10.3390/v14061157 | DOI Listing |
Toxins (Basel)
December 2024
Laboratory of Plant Pathology, Department of Crop Science, Agricultural University of Athens, 118 55 Athens, Greece.
is considered one of the main fungi responsible for black and sour rot in grapes, as well as the production of the carcinogenic mycotoxin ochratoxin A. The global regulatory methyltransferase protein controls the production of various secondary metabolites in species, as well as influences sexual and asexual reproduction and morphology. The goal of this study was to investigate the role of the regulatory gene in physiology, virulence, and ochratoxin A (OTA) production by deleting this gene from the genome of a wild-type strain.
View Article and Find Full Text PDFVet Sci
December 2024
Laboratoire d'Exploration et Valorisation des Écosystèmes Steppiques, Faculty of Natural and Life Sciences, University of Djelfa, PO Box 3117, Djelfa 17000, Algeria.
Toxoplasmosis is a major veterinary and public health issue affecting humans and animals, where felids represent the definitive hosts of the causative agent . While the infections are mostly asymptomatic, the disease could be severe in immune-compromised patients and pregnant women. This study was conducted to evaluate the level of knowledge, practice, and attitude toward this disease among a sample of Algerian women.
View Article and Find Full Text PDFJ Fungi (Basel)
January 2025
Gastro-Intestinal Microbiology and Biotechnology Unit, Agricultural Research Council-Animal Production, Private Bag X02, Irene, Pretoria 0062, South Africa.
Postharvest decay of vegetables and fruits presents a significant threat confronting sustainable food production worldwide, and in the recent times, applying synthetic fungicides has become the most popular technique of managing postharvest losses. However, there are concerns and reported proofs of hazardous impacts on consumers' health and the environment, traceable to the application of chemical treatments as preservatives on fresh produce. Physical methods, on the other hand, cause damage to fresh produce, exposing it to even more infections.
View Article and Find Full Text PDFJ Fungi (Basel)
January 2025
School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 611731, China.
Since the domestication of plants, pathogenic fungi have consistently threatened crop production, evolving genetically to develop increased virulence under various selection pressures. Understanding their evolutionary trends is crucial for predicting and designing control measures against future disease outbreaks. This paper reviews the evolution of fungal pathogens from natural habitats to agricultural settings, focusing on eight significant phytopathogens: , , spp.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy.
As the leading cause of dementia worldwide, Alzheimer's Disease (AD) has prompted significant interest in developing Deep Learning (DL) approaches for its classification. However, it currently remains unclear whether these models rely on established biological indicators. This work compares a novel DL model using structural connectivity (namely, BC-GCN-SE adapted from functional connectivity tasks) with an established model using structural magnetic resonance imaging (MRI) scans (namely, ResNet18).
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