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Bimodal distribution pattern associated with the PCR cycle threshold (Ct) and implications in COVID-19 infections

SARS-CoV-2 is notable for its extremely high level of viral replication in respiratory epithelial cells, relative to other cell types. This may partially explain the high transmissibility and rapid global dissemination observed during the COVID-19 pandemic. Polymerase chain reaction (PCR) cycle thre...

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Autores principales: Yang, Doris, Hansel, Donna E., Curlin, Marcel E., Townes, John M., Messer, William B., Fan, Guang, Qin, Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406279/
https://www.ncbi.nlm.nih.gov/pubmed/36008543
http://dx.doi.org/10.1038/s41598-022-18735-2
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author Yang, Doris
Hansel, Donna E.
Curlin, Marcel E.
Townes, John M.
Messer, William B.
Fan, Guang
Qin, Xuan
author_facet Yang, Doris
Hansel, Donna E.
Curlin, Marcel E.
Townes, John M.
Messer, William B.
Fan, Guang
Qin, Xuan
author_sort Yang, Doris
collection PubMed
description SARS-CoV-2 is notable for its extremely high level of viral replication in respiratory epithelial cells, relative to other cell types. This may partially explain the high transmissibility and rapid global dissemination observed during the COVID-19 pandemic. Polymerase chain reaction (PCR) cycle threshold (Ct) number has been widely used as a proxy for viral load based on the inverse relationship between Ct number and amplifiable genome copies present in a sample. We examined two PCR platforms (Centers for Disease Control and Prevention 2019-nCoV Real-time RT-PCR, Integrated DNA Technologies; and TaqPath COVID-19 multi-plex combination kit, ThermoFisher Scientific) for their performance characteristics and Ct distribution patterns based on results generated from 208,947 clinical samples obtained between October 2020 and September 2021. From 14,231 positive tests, Ct values ranged from 8 to 39 and displayed a pronounced bimodal distribution. The bimodal distribution persisted when stratified by gender, age, and time period of sample collection during which different viral variants circulated. This finding may be a result of heterogeneity in disease progression or host response to infection irrespective of age, gender, or viral variants. Quantification of respiratory mucosal viral load may provide additional insight into transmission and clinical indicators helpful for infection control.
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spelling pubmed-94062792022-08-26 Bimodal distribution pattern associated with the PCR cycle threshold (Ct) and implications in COVID-19 infections Yang, Doris Hansel, Donna E. Curlin, Marcel E. Townes, John M. Messer, William B. Fan, Guang Qin, Xuan Sci Rep Article SARS-CoV-2 is notable for its extremely high level of viral replication in respiratory epithelial cells, relative to other cell types. This may partially explain the high transmissibility and rapid global dissemination observed during the COVID-19 pandemic. Polymerase chain reaction (PCR) cycle threshold (Ct) number has been widely used as a proxy for viral load based on the inverse relationship between Ct number and amplifiable genome copies present in a sample. We examined two PCR platforms (Centers for Disease Control and Prevention 2019-nCoV Real-time RT-PCR, Integrated DNA Technologies; and TaqPath COVID-19 multi-plex combination kit, ThermoFisher Scientific) for their performance characteristics and Ct distribution patterns based on results generated from 208,947 clinical samples obtained between October 2020 and September 2021. From 14,231 positive tests, Ct values ranged from 8 to 39 and displayed a pronounced bimodal distribution. The bimodal distribution persisted when stratified by gender, age, and time period of sample collection during which different viral variants circulated. This finding may be a result of heterogeneity in disease progression or host response to infection irrespective of age, gender, or viral variants. Quantification of respiratory mucosal viral load may provide additional insight into transmission and clinical indicators helpful for infection control. Nature Publishing Group UK 2022-08-25 /pmc/articles/PMC9406279/ /pubmed/36008543 http://dx.doi.org/10.1038/s41598-022-18735-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yang, Doris
Hansel, Donna E.
Curlin, Marcel E.
Townes, John M.
Messer, William B.
Fan, Guang
Qin, Xuan
Bimodal distribution pattern associated with the PCR cycle threshold (Ct) and implications in COVID-19 infections
title Bimodal distribution pattern associated with the PCR cycle threshold (Ct) and implications in COVID-19 infections
title_full Bimodal distribution pattern associated with the PCR cycle threshold (Ct) and implications in COVID-19 infections
title_fullStr Bimodal distribution pattern associated with the PCR cycle threshold (Ct) and implications in COVID-19 infections
title_full_unstemmed Bimodal distribution pattern associated with the PCR cycle threshold (Ct) and implications in COVID-19 infections
title_short Bimodal distribution pattern associated with the PCR cycle threshold (Ct) and implications in COVID-19 infections
title_sort bimodal distribution pattern associated with the pcr cycle threshold (ct) and implications in covid-19 infections
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406279/
https://www.ncbi.nlm.nih.gov/pubmed/36008543
http://dx.doi.org/10.1038/s41598-022-18735-2
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