The Mouth as a Site of SARS-CoV-2 Infection

Current Oral Health Reports, Journal Year: 2024, Volume and Issue: 11(2), P. 167 - 176

Published: Feb. 21, 2024

Abstract Purpose of Review During the height coronavirus pandemic, oral cavity was recognized as a critically important site for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. The purpose this review is to analyze literature surrounding SARS-CoV-2 entry, replication, and transmission resulting impact on host tissues in cavity. Recent Findings detection viral genetic material saliva allows widespread surveillance testing emphasizes importance through shed saliva. As cohort patients who have recovered from infection grows, several questions remain about long-term impacts tissues, including whether may serve persistent reservoir. Therefore, thorough understanding life cycle diverse warranted. We conclude with broad outlook effects how these relate post-acute sequelae experienced by patients. Summary can enter replicate be spread between individuals via Several manifestations been reported, lingering are an area ongoing investigation.

Language: Английский

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Editorial: The interaction between the oral microbiota and systemic diseases

Frontiers in Dental Medicine, Journal Year: 2024, Volume and Issue: 5

Published: April 9, 2024

EDITORIAL article Front. Dent. Med, 09 April 2024Sec. Systems Integration Volume 5 - 2024 | https://doi.org/10.3389/fdmed.2024.1390188

Language: Английский

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MD3F: Multivariate Distance Drift Diffusion Framework for High-Dimensional Datasets

Genes, Journal Year: 2024, Volume and Issue: 15(5), P. 582 - 582

Published: May 3, 2024

High-dimensional biomedical datasets have become easier to collect in the last two decades with advent of multi-omic and single-cell experiments. These can generate over 1000 measurements per sample or cell. More recently, focus has been drawn toward need for longitudinal datasets, appreciation that important dynamic changes occur along transitions between health disease. Analysis omics data comes many challenges, including type I error inflation corresponding loss power when thousands hypothesis tests are needed. Multivariate analysis yield approaches higher statistical power; however, multivariate methods currently limited. We propose a distance-based drift-diffusion framework (MD3F) tackle approach longitudinal, high-throughput datasets. show MD3F result surprisingly simple yet valid powerful testing estimation using generalized linear models. Through simulation application studies, we is robust offer broadly applicable method assessing dynamics data.

Language: Английский

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Random Forest Approach to Identifying Microbial Biomarkers Relating to COVID-19 Severity

Published: June 13, 2024

Language: Английский

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Reply to the letter of Thiruchelvam K. et al

Journal of Medical Virology, Journal Year: 2024, Volume and Issue: 96(8)

Published: Aug. 1, 2024

Language: Английский

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