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| http://dx.doi.org/10.1164/rccm.202004-1293LE | DOI Listing |
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Unveiling the ghost: machine learning's impact on the landscape of virology.
J Gen Virol
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Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
The complexity and speed of evolution in viruses with RNA genomes makes predictive identification of variants with epidemic or pandemic potential challenging. In recent years, machine learning has become an increasingly capable technology for addressing this challenge, as advances in methods and computational power have dramatically improved the performance of models and led to their widespread adoption across industries and disciplines. Nascent applications of machine learning technology to virus research have now expanded, providing new tools for handling large-scale datasets and leading to a reshaping of existing workflows for phenotype prediction, phylogenetic analysis, drug discovery and more.
View Article and Find Full Text PDFIs there a causal association between temporomandibular disorders and COVID-19 risk? A genetic instrumental variables analysis.
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Department of Stomatology, Suzhou Wujiang District Hospital of Traditional Chinese Medicine, 215221 Suzhou, Jiangsu, China.
The coronavirus disease 2019 (COVID-19) and temporomandibular joint disorders (TMD) as the two major diseases are being focused by the public in modern societies. Previous epidemiological studies have shown increase in TMD prevalence during COVID-19 pandemic era. This study was aimed to verify the causal association between two sides using bidirectional mendelian randomization (MR) analysis.
View Article and Find Full Text PDFEvolution of Omicron lineage towards increased fitness in the upper respiratory tract in the absence of severe lung pathology.
Nat Commun
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Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA.
The emergence of the Omicron lineage represented a major genetic drift in SARS-CoV-2 evolution. This was associated with phenotypic changes including evasion of pre-existing immunity and decreased disease severity. Continuous evolution within the Omicron lineage raised concerns of potential increased transmissibility and/or disease severity.
View Article and Find Full Text PDFPost-COVID metabolic enzyme alterations in K18-hACE2 mice exacerbate alcohol-induced liver injury through transcriptional regulation.
Free Radic Biol Med
January 2025
Korea Mouse Phenotyping Center, Seoul National University, Seoul 08826, Republic of Korea; Laboratory of Developmental Biology and Genomics, Research Institute for Veterinary Science, and BK21 PLUS Program for Creative Veterinary Science Research, College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea; Interdisciplinary Program for Bioinformatics, Program for Cancer Biology and BIO-MAX/N-Bio Institute, Seoul National University, Seoul 08826, Republic of Korea. Electronic address:
Article Synopsis
- COVID-19, caused by SARS-CoV-2, poses serious global health risks, including the potential for secondary liver injury related to metabolic enzyme changes.
- This study explores how prior infection with SARS-CoV-2 affects alcohol-induced liver damage, using transgenic mice that express human ACE2.
- Results showed that infected mice experienced worsened liver injury after alcohol consumption, with alterations in metabolic enzymes and increased levels of a toxic alcohol byproduct, indicating a complex interaction between COVID-19 and alcohol effects on the liver.
A β-Thalassemia Cell Biobank: Updates, Further Validation in Genetic and Therapeutic Research and Opportunities During (and After) the COVID-19 Pandemic.
J Clin Med
January 2025
Department of Life Sciences and Biotechnology, Ferrara University, 44121 Ferrara, Italy.
: Cellular biobanks are of great interest for performing studies finalized in the development of personalized approaches for genetic diseases, including β-thalassemia and sickle cell disease (SCD), important diseases affecting the hematopoietic system. These inherited genetic diseases are characterized by a global distribution and the need for intensive health care. The aim of this report is to present an update on the composition of a cellular Thal-Biobank, to describe its utilization since 2016, to present data on its application in studies on fetal hemoglobin induction and on gene editing, and to discuss its employment as a "unique tool" during and after the COVID-19 pandemic.
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