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Deep RNA sequencing of intensive care unit patients with COVID-19

COVID-19 has impacted millions of patients across the world. Molecular testing occurring now identifies the presence of the virus at the sampling site: nasopharynx, nares, or oral cavity. RNA sequencing has the potential to establish both the presence of the virus and define the host’s response in C...

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Autores principales: Fredericks, Alger M., Jentzsch, Maximilian S., Cioffi, William G., Cohen, Maya, Fairbrother, William G., Gandhi, Shivam J., Harrington, Elizabeth O., Nau, Gerard J., Reichner, Jonathan S., Ventetuolo, Corey E., Levy, Mitchell M., Ayala, Alfred, Monaghan, Sean F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491252/
https://www.ncbi.nlm.nih.gov/pubmed/36130991
http://dx.doi.org/10.1038/s41598-022-20139-1
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author Fredericks, Alger M.
Jentzsch, Maximilian S.
Cioffi, William G.
Cohen, Maya
Fairbrother, William G.
Gandhi, Shivam J.
Harrington, Elizabeth O.
Nau, Gerard J.
Reichner, Jonathan S.
Ventetuolo, Corey E.
Levy, Mitchell M.
Ayala, Alfred
Monaghan, Sean F.
author_facet Fredericks, Alger M.
Jentzsch, Maximilian S.
Cioffi, William G.
Cohen, Maya
Fairbrother, William G.
Gandhi, Shivam J.
Harrington, Elizabeth O.
Nau, Gerard J.
Reichner, Jonathan S.
Ventetuolo, Corey E.
Levy, Mitchell M.
Ayala, Alfred
Monaghan, Sean F.
author_sort Fredericks, Alger M.
collection PubMed
description COVID-19 has impacted millions of patients across the world. Molecular testing occurring now identifies the presence of the virus at the sampling site: nasopharynx, nares, or oral cavity. RNA sequencing has the potential to establish both the presence of the virus and define the host’s response in COVID-19. Single center, prospective study of patients with COVID-19 admitted to the intensive care unit where deep RNA sequencing (> 100 million reads) of peripheral blood with computational biology analysis was done. All patients had positive SARS-CoV-2 PCR. Clinical data was prospectively collected. We enrolled fifteen patients at a single hospital. Patients were critically ill with a mortality of 47% and 67% were on a ventilator. All the patients had the SARS-CoV-2 RNA identified in the blood in addition to RNA from other viruses, bacteria, and archaea. The expression of many immune modulating genes, including PD-L1 and PD-L2, were significantly different in patients who died from COVID-19. Some proteins were influenced by alternative transcription and splicing events, as seen in HLA-C, HLA-E, NRP1 and NRP2. Entropy calculated from alternative RNA splicing and transcription start/end predicted mortality in these patients. Current upper respiratory tract testing for COVID-19 only determines if the virus is present. Deep RNA sequencing with appropriate computational biology may provide important prognostic information and point to therapeutic foci to be precisely targeted in future studies.
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spelling pubmed-94912522022-09-21 Deep RNA sequencing of intensive care unit patients with COVID-19 Fredericks, Alger M. Jentzsch, Maximilian S. Cioffi, William G. Cohen, Maya Fairbrother, William G. Gandhi, Shivam J. Harrington, Elizabeth O. Nau, Gerard J. Reichner, Jonathan S. Ventetuolo, Corey E. Levy, Mitchell M. Ayala, Alfred Monaghan, Sean F. Sci Rep Article COVID-19 has impacted millions of patients across the world. Molecular testing occurring now identifies the presence of the virus at the sampling site: nasopharynx, nares, or oral cavity. RNA sequencing has the potential to establish both the presence of the virus and define the host’s response in COVID-19. Single center, prospective study of patients with COVID-19 admitted to the intensive care unit where deep RNA sequencing (> 100 million reads) of peripheral blood with computational biology analysis was done. All patients had positive SARS-CoV-2 PCR. Clinical data was prospectively collected. We enrolled fifteen patients at a single hospital. Patients were critically ill with a mortality of 47% and 67% were on a ventilator. All the patients had the SARS-CoV-2 RNA identified in the blood in addition to RNA from other viruses, bacteria, and archaea. The expression of many immune modulating genes, including PD-L1 and PD-L2, were significantly different in patients who died from COVID-19. Some proteins were influenced by alternative transcription and splicing events, as seen in HLA-C, HLA-E, NRP1 and NRP2. Entropy calculated from alternative RNA splicing and transcription start/end predicted mortality in these patients. Current upper respiratory tract testing for COVID-19 only determines if the virus is present. Deep RNA sequencing with appropriate computational biology may provide important prognostic information and point to therapeutic foci to be precisely targeted in future studies. Nature Publishing Group UK 2022-09-21 /pmc/articles/PMC9491252/ /pubmed/36130991 http://dx.doi.org/10.1038/s41598-022-20139-1 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
Fredericks, Alger M.
Jentzsch, Maximilian S.
Cioffi, William G.
Cohen, Maya
Fairbrother, William G.
Gandhi, Shivam J.
Harrington, Elizabeth O.
Nau, Gerard J.
Reichner, Jonathan S.
Ventetuolo, Corey E.
Levy, Mitchell M.
Ayala, Alfred
Monaghan, Sean F.
Deep RNA sequencing of intensive care unit patients with COVID-19
title Deep RNA sequencing of intensive care unit patients with COVID-19
title_full Deep RNA sequencing of intensive care unit patients with COVID-19
title_fullStr Deep RNA sequencing of intensive care unit patients with COVID-19
title_full_unstemmed Deep RNA sequencing of intensive care unit patients with COVID-19
title_short Deep RNA sequencing of intensive care unit patients with COVID-19
title_sort deep rna sequencing of intensive care unit patients with covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491252/
https://www.ncbi.nlm.nih.gov/pubmed/36130991
http://dx.doi.org/10.1038/s41598-022-20139-1
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