The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineages that carry mutations in the spike gene are of concern for potential impact to treatment and prevention efforts. To monitor for new SARS-CoV-2 mutations, a panel of specimens were sequenced from both wave one (N = 96), and wave two (N = 117) of the pandemic in Senegal by whole genome next generation sequencing. Amongst these genomes, new combinations of SARS-CoV-2 spike mutations were identified, with E484K + N501T, L452R + N501Y, and L452M + S477N exclusively found in second wave specimens. These sequences are evidence of local diversification over the course of the pandemic and parallel evolution of escape mutations in different lineages.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655062 | PMC |
http://dx.doi.org/10.1038/s41598-021-02874-z | DOI Listing |
Biosensors (Basel)
December 2024
Department of Bioscience and Biotechnology, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea.
We developed a rapid and sensitive diagnostic platform that integrates isothermal viral gene amplification with a nucleic acid lateral flow assay (NALFA) to detect SARS-CoV-2 RNA. Isothermal gene amplification was performed by combining reverse transcription of viral RNA with recombinase polymerase amplification (RPA). In our diagnostic platform, DNA primers for the RPA reaction were modified by appending DNA tails, enabling the synthesis of tailed amplicon DNAs.
View Article and Find Full Text PDFJ Biomol Struct Dyn
December 2024
School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Although the COVID-19 pandemic has been brought under control to some extent globally, there is still debate in the industry about the feasibility of using artificial intelligence (AI) to generate COVID small-molecule inhibitors. In this study, we explored the feasibility of using AI to design effective inhibitors of COVID-19. By combining a generative model with reinforcement learning and molecular docking, we designed small-molecule inhibitors targeting the COVID-19 3CLpro enzyme.
View Article and Find Full Text PDFCureus
November 2024
Biotechnology, Laboratorio Nacional LANSEIDI, Mexico City, MEX.
Background and objective The use of ivermectin and nitazoxanide in the treatment of coronavirus disease 2019 (COVID-19) has been a subject of controversy. In this study, we aimed to describe our clinical experience in treating COVID-19 patients with these drugs in Mexico. Material and methods The study involved out- and inpatient clinical assessments of COVID-19 patients conducted in Mexico City from September 2020 to November 2021.
View Article and Find Full Text PDFBMJ Open
December 2024
Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
Objectives: Lockdowns and outing restrictions during the COVID-19 pandemic may have altered attitudes towards hospital visits. This study aimed to investigate changes in long-distance visits outside of secondary healthcare service areas (SHSA) among cancer patients in Japan.
Design: Retrospective observational study.
Lancet Digit Health
January 2025
Biomedical Engineering Department, Duke University, Durham, NC, USA; Biostatistics and Bioinformatics Department, Duke University, Durham, NC, USA. Electronic address:
Background: Longitudinal digital health studies combine passively collected information from digital devices, such as commercial wearable devices, and actively contributed data, such as surveys, from participants. Although the use of smartphones and access to the internet supports the development of these studies, challenges exist in collecting representative data due to low adherence and retention. We aimed to identify key factors related to adherence and retention in digital health studies and develop a methodology to identify factors that are associated with and might affect study participant engagement.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!