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Predominant SARS-CoV-2 variant impacts accuracy when screening for infection using exhaled breath vapor
BACKGROUND: New technologies with novel and ambitious approaches are being developed to diagnose or screen for SARS-CoV-2, including breath tests. The US FDA approved the first breath test for COVID-19 under emergency use authorization in April 2022. Most breath-based assays measure volatile metabol...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731983/ https://www.ncbi.nlm.nih.gov/pubmed/36482179 http://dx.doi.org/10.1038/s43856-022-00221-5 |
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author | McCartney, Mitchell M. Borras, Eva Rojas, Dante E. Hicks, Tristan L. Hamera, Katherine L. Tran, Nam K. Tham, Tina Juarez, Maya M. Lopez, Enrique Kenyon, Nicholas J. Davis, Cristina E. |
author_facet | McCartney, Mitchell M. Borras, Eva Rojas, Dante E. Hicks, Tristan L. Hamera, Katherine L. Tran, Nam K. Tham, Tina Juarez, Maya M. Lopez, Enrique Kenyon, Nicholas J. Davis, Cristina E. |
author_sort | McCartney, Mitchell M. |
collection | PubMed |
description | BACKGROUND: New technologies with novel and ambitious approaches are being developed to diagnose or screen for SARS-CoV-2, including breath tests. The US FDA approved the first breath test for COVID-19 under emergency use authorization in April 2022. Most breath-based assays measure volatile metabolites exhaled by persons to identify a host response to infection. We hypothesized that the breathprint of COVID-19 fluctuated after Omicron became the primary variant of transmission over the Delta variant. METHODS: We collected breath samples from 142 persons with and without a confirmed COVID-19 infection during the Delta and Omicron waves. Breath samples were analyzed by gas chromatography-mass spectrometry. RESULTS: Here we show that based on 63 exhaled compounds, a general COVID-19 model had an accuracy of 0.73 ± 0.06, which improved to 0.82 ± 0.12 when modeling only the Delta wave, and 0.84 ± 0.06 for the Omicron wave. The specificity improved for the Delta and Omicron models (0.79 ± 0.21 and 0.74 ± 0.12, respectively) relative to the general model (0.61 ± 0.13). CONCLUSIONS: We report that the volatile signature of COVID-19 in breath differs between the Delta-predominant and Omicron-predominant variant waves, and accuracies improve when samples from these waves are modeled separately rather than as one universal approach. Our findings have important implications for groups developing breath-based assays for COVID-19 and other respiratory pathogens, as the host response to infection may significantly differ depending on variants or subtypes. |
format | Online Article Text |
id | pubmed-9731983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97319832022-12-10 Predominant SARS-CoV-2 variant impacts accuracy when screening for infection using exhaled breath vapor McCartney, Mitchell M. Borras, Eva Rojas, Dante E. Hicks, Tristan L. Hamera, Katherine L. Tran, Nam K. Tham, Tina Juarez, Maya M. Lopez, Enrique Kenyon, Nicholas J. Davis, Cristina E. Commun Med (Lond) Article BACKGROUND: New technologies with novel and ambitious approaches are being developed to diagnose or screen for SARS-CoV-2, including breath tests. The US FDA approved the first breath test for COVID-19 under emergency use authorization in April 2022. Most breath-based assays measure volatile metabolites exhaled by persons to identify a host response to infection. We hypothesized that the breathprint of COVID-19 fluctuated after Omicron became the primary variant of transmission over the Delta variant. METHODS: We collected breath samples from 142 persons with and without a confirmed COVID-19 infection during the Delta and Omicron waves. Breath samples were analyzed by gas chromatography-mass spectrometry. RESULTS: Here we show that based on 63 exhaled compounds, a general COVID-19 model had an accuracy of 0.73 ± 0.06, which improved to 0.82 ± 0.12 when modeling only the Delta wave, and 0.84 ± 0.06 for the Omicron wave. The specificity improved for the Delta and Omicron models (0.79 ± 0.21 and 0.74 ± 0.12, respectively) relative to the general model (0.61 ± 0.13). CONCLUSIONS: We report that the volatile signature of COVID-19 in breath differs between the Delta-predominant and Omicron-predominant variant waves, and accuracies improve when samples from these waves are modeled separately rather than as one universal approach. Our findings have important implications for groups developing breath-based assays for COVID-19 and other respiratory pathogens, as the host response to infection may significantly differ depending on variants or subtypes. Nature Publishing Group UK 2022-12-08 /pmc/articles/PMC9731983/ /pubmed/36482179 http://dx.doi.org/10.1038/s43856-022-00221-5 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article McCartney, Mitchell M. Borras, Eva Rojas, Dante E. Hicks, Tristan L. Hamera, Katherine L. Tran, Nam K. Tham, Tina Juarez, Maya M. Lopez, Enrique Kenyon, Nicholas J. Davis, Cristina E. Predominant SARS-CoV-2 variant impacts accuracy when screening for infection using exhaled breath vapor |
title | Predominant SARS-CoV-2 variant impacts accuracy when screening for infection using exhaled breath vapor |
title_full | Predominant SARS-CoV-2 variant impacts accuracy when screening for infection using exhaled breath vapor |
title_fullStr | Predominant SARS-CoV-2 variant impacts accuracy when screening for infection using exhaled breath vapor |
title_full_unstemmed | Predominant SARS-CoV-2 variant impacts accuracy when screening for infection using exhaled breath vapor |
title_short | Predominant SARS-CoV-2 variant impacts accuracy when screening for infection using exhaled breath vapor |
title_sort | predominant sars-cov-2 variant impacts accuracy when screening for infection using exhaled breath vapor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731983/ https://www.ncbi.nlm.nih.gov/pubmed/36482179 http://dx.doi.org/10.1038/s43856-022-00221-5 |
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