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Ct Values Do Not Predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmissibility in College Students
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly contagious and has caused significant medical/socioeconomic impacts. Other than vaccination, effective public health measures, including contact tracing, isolation, and quarantine, is critical for deterring viral transmission, pr...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178946/ https://www.ncbi.nlm.nih.gov/pubmed/34102313 http://dx.doi.org/10.1016/j.jmoldx.2021.05.012 |
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author | Tian, Di Lin, Zhen Kriner, Ellie M. Esneault, Dalton J. Tran, Jonathan DeVoto, Julia C. Okami, Naima Greenberg, Rachel M. Yanofsky, Sarah Ratnayaka, Swarnamala Tran, Nicholas Livaccari, Maeghan Lampp, Marla L. Wang, Noel Tim, Scott Norton, Patrick Scott, John Hu, Tony Y. Garry, Robert Hamm, Lee Delafontaine, Patrice Yin, Xiao-Ming |
author_facet | Tian, Di Lin, Zhen Kriner, Ellie M. Esneault, Dalton J. Tran, Jonathan DeVoto, Julia C. Okami, Naima Greenberg, Rachel M. Yanofsky, Sarah Ratnayaka, Swarnamala Tran, Nicholas Livaccari, Maeghan Lampp, Marla L. Wang, Noel Tim, Scott Norton, Patrick Scott, John Hu, Tony Y. Garry, Robert Hamm, Lee Delafontaine, Patrice Yin, Xiao-Ming |
author_sort | Tian, Di |
collection | PubMed |
description | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly contagious and has caused significant medical/socioeconomic impacts. Other than vaccination, effective public health measures, including contact tracing, isolation, and quarantine, is critical for deterring viral transmission, preventing infection progression and resuming normal activities. Viral transmission is affected by many factors, but the viral load and vitality could be among the most important ones. Although in vitro studies have indicated that the amount of virus isolated from infected individuals affects the successful rate of virus isolation, whether the viral load carried at the individual level would determine the transmissibility was unknown. We examined whether the cycle threshold (Ct) value, a measurement of viral load by RT-PCR assay, could differentiate the spreaders from the non-spreaders in a population of college students. Our results indicate that while at the population level the Ct value is lower, suggesting a higher viral load, in the symptomatic spreaders than that in the asymptomatic non-spreaders, there is a significant overlap in the Ct values between the two groups. Thus, Ct value, or the viral load, at the individual level could not predict the transmissibility. Instead, a sensitive method to detect the presence of virus is needed to identify asymptomatic individuals who may carry a low viral load but can still be infectious. |
format | Online Article Text |
id | pubmed-8178946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81789462021-06-05 Ct Values Do Not Predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmissibility in College Students Tian, Di Lin, Zhen Kriner, Ellie M. Esneault, Dalton J. Tran, Jonathan DeVoto, Julia C. Okami, Naima Greenberg, Rachel M. Yanofsky, Sarah Ratnayaka, Swarnamala Tran, Nicholas Livaccari, Maeghan Lampp, Marla L. Wang, Noel Tim, Scott Norton, Patrick Scott, John Hu, Tony Y. Garry, Robert Hamm, Lee Delafontaine, Patrice Yin, Xiao-Ming J Mol Diagn Regular Article Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly contagious and has caused significant medical/socioeconomic impacts. Other than vaccination, effective public health measures, including contact tracing, isolation, and quarantine, is critical for deterring viral transmission, preventing infection progression and resuming normal activities. Viral transmission is affected by many factors, but the viral load and vitality could be among the most important ones. Although in vitro studies have indicated that the amount of virus isolated from infected individuals affects the successful rate of virus isolation, whether the viral load carried at the individual level would determine the transmissibility was unknown. We examined whether the cycle threshold (Ct) value, a measurement of viral load by RT-PCR assay, could differentiate the spreaders from the non-spreaders in a population of college students. Our results indicate that while at the population level the Ct value is lower, suggesting a higher viral load, in the symptomatic spreaders than that in the asymptomatic non-spreaders, there is a significant overlap in the Ct values between the two groups. Thus, Ct value, or the viral load, at the individual level could not predict the transmissibility. Instead, a sensitive method to detect the presence of virus is needed to identify asymptomatic individuals who may carry a low viral load but can still be infectious. Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. 2021-09 2021-06-05 /pmc/articles/PMC8178946/ /pubmed/34102313 http://dx.doi.org/10.1016/j.jmoldx.2021.05.012 Text en © 2021 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Regular Article Tian, Di Lin, Zhen Kriner, Ellie M. Esneault, Dalton J. Tran, Jonathan DeVoto, Julia C. Okami, Naima Greenberg, Rachel M. Yanofsky, Sarah Ratnayaka, Swarnamala Tran, Nicholas Livaccari, Maeghan Lampp, Marla L. Wang, Noel Tim, Scott Norton, Patrick Scott, John Hu, Tony Y. Garry, Robert Hamm, Lee Delafontaine, Patrice Yin, Xiao-Ming Ct Values Do Not Predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmissibility in College Students |
title | Ct Values Do Not Predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmissibility in College Students |
title_full | Ct Values Do Not Predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmissibility in College Students |
title_fullStr | Ct Values Do Not Predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmissibility in College Students |
title_full_unstemmed | Ct Values Do Not Predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmissibility in College Students |
title_short | Ct Values Do Not Predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmissibility in College Students |
title_sort | ct values do not predict severe acute respiratory syndrome coronavirus 2 (sars-cov-2) transmissibility in college students |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178946/ https://www.ncbi.nlm.nih.gov/pubmed/34102313 http://dx.doi.org/10.1016/j.jmoldx.2021.05.012 |
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