Massive usage of antiviral compounds during a pandemic creates an ideal ground for emergence of resistant strains. Remdesivir, a broad-spectrum inhibitor of the viral RNA-dependent RNA polymerase (RdRp), was extensively prescribed under emergency use authorization during the first 18 months of the COVID19 pandemic, before randomized controlled trials showed poor efficacy in hospitalized patients. RdRp mutations conferring resistance to remdesivir are well known from in vitro studies, and the huge SARS-CoV-2 sequencing effort during the ongoing COVID19 pandemic represents an unprecedented opportunity to assess emergence and fitness of antiviral resistance in vivo. We mined the GISAID database to extrapolate the frequency of remdesivir escape mutations. Our analysis reveals very low levels of remdesivir resistance worldwide despite massive usage.
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http://dx.doi.org/10.1016/j.antiviral.2022.105247 | DOI Listing |
Alzheimers Dement
December 2024
Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA.
Background: Although high-throughput DNA/RNA sequencing technologies have generated massive genetic and genomic data in human disease, translation of these findings into new patient treatment has not materialized by lack of effective approaches, such as Artificial Intelligence (AL) and Machine Learning (ML) tools.
Method: To address this problem, we have used AI/ML approaches, Mendelian randomization (MR), and large patient's genetic and functional genomic data to evaluate druggable targets using Alzheimer's disease (AD) as a prototypical example. We utilized the genomic instruments from 9 expression quantitative trait loci (eQTL) and 3 protein quantitative trait loci (pQTL) datasets across five human brain regions from three biobanks.
BMC Oral Health
December 2024
Prosthodontics Department, Faculty of Dentistry, Ibb University, Salabat Alsyedah Arwa, 70270, Ibb, Yemen.
Background: The evidence on the effect of printing orientation on dimensional accuracy and properties of resinous dental models is unclear. This systematic review aimed to assess the impact of printing orientation on the accuracy and properties of additively manufactured resinous dental models, besides the cost, material consumption, and time efficiency at different orientations.
Methods: A comprehensive web search (PubMed, Scopus, Cochrane) was performed in July 2024 without language restrictions.
OMICS
December 2024
OMICS: A Journal of Integrative Biology, New Rochelle, New York, USA.
Artificial intelligence (AI) and its applications in digital health, bioengineering, and society have significant material impacts on the environment owing to AI's vast energy demands and energy consumption, carbon footprints, and water usage to cool data centers and generate electricity to power the data centers. Yet, the environmental footprints of AI remain underappreciated and inadequately acknowledged. This is significant, particularly in this era of climate emergency and ongoing threats to planetary energy and water supplies.
View Article and Find Full Text PDFEur Eat Disord Rev
November 2024
Child and Adolescent Psychiatry Unit, Salvator University Hospital, Public Assistance-Marseille Hospitals, Aix-Marseille University, Marseille, France.
Biofabrication
November 2024
Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu 641003, India.
In modern agriculture, nanotechnology was recognized as a potentially transformative innovation. Nanopolymers as coating matrix in nano-biofertilizer has a massive impact on agricultural productivity. The integration of nanotechnology with biofertilizers has led to the creation of nano-biofertilizer formulations that enhance nutrient delivery, improve plant growth, and increase resistance to environmental stress.
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