Cargando…
COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts
The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading across the world despite vast global vaccination efforts. Consequently, many studies have looked for potential human host factors and immune mechanisms associated with the...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388772/ https://www.ncbi.nlm.nih.gov/pubmed/35991542 http://dx.doi.org/10.3389/fgene.2022.929887 |
_version_ | 1784770285822541824 |
---|---|
author | Välikangas, Tommi Junttila, Sini Rytkönen, Kalle T. Kukkonen-Macchi, Anu Suomi, Tomi Elo, Laura L. |
author_facet | Välikangas, Tommi Junttila, Sini Rytkönen, Kalle T. Kukkonen-Macchi, Anu Suomi, Tomi Elo, Laura L. |
author_sort | Välikangas, Tommi |
collection | PubMed |
description | The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading across the world despite vast global vaccination efforts. Consequently, many studies have looked for potential human host factors and immune mechanisms associated with the disease. However, most studies have focused on comparing COVID-19 patients to healthy controls, while fewer have elucidated the specific host factors distinguishing COVID-19 from other infections. To discover genes specifically related to COVID-19, we reanalyzed transcriptome data from nine independent cohort studies, covering multiple infections, including COVID-19, influenza, seasonal coronaviruses, and bacterial pneumonia. The identified COVID-19-specific signature consisted of 149 genes, involving many signals previously associated with the disease, such as induction of a strong immunoglobulin response and hemostasis, as well as dysregulation of cell cycle-related processes. Additionally, potential new gene candidates related to COVID-19 were discovered. To facilitate exploration of the signature with respect to disease severity, disease progression, and different cell types, we also offer an online tool for easy visualization of the selected genes across multiple datasets at both bulk and single-cell levels. |
format | Online Article Text |
id | pubmed-9388772 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93887722022-08-20 COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts Välikangas, Tommi Junttila, Sini Rytkönen, Kalle T. Kukkonen-Macchi, Anu Suomi, Tomi Elo, Laura L. Front Genet Genetics The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading across the world despite vast global vaccination efforts. Consequently, many studies have looked for potential human host factors and immune mechanisms associated with the disease. However, most studies have focused on comparing COVID-19 patients to healthy controls, while fewer have elucidated the specific host factors distinguishing COVID-19 from other infections. To discover genes specifically related to COVID-19, we reanalyzed transcriptome data from nine independent cohort studies, covering multiple infections, including COVID-19, influenza, seasonal coronaviruses, and bacterial pneumonia. The identified COVID-19-specific signature consisted of 149 genes, involving many signals previously associated with the disease, such as induction of a strong immunoglobulin response and hemostasis, as well as dysregulation of cell cycle-related processes. Additionally, potential new gene candidates related to COVID-19 were discovered. To facilitate exploration of the signature with respect to disease severity, disease progression, and different cell types, we also offer an online tool for easy visualization of the selected genes across multiple datasets at both bulk and single-cell levels. Frontiers Media S.A. 2022-08-05 /pmc/articles/PMC9388772/ /pubmed/35991542 http://dx.doi.org/10.3389/fgene.2022.929887 Text en Copyright © 2022 Välikangas, Junttila, Rytkönen, Kukkonen-Macchi, Suomi and Elo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Välikangas, Tommi Junttila, Sini Rytkönen, Kalle T. Kukkonen-Macchi, Anu Suomi, Tomi Elo, Laura L. COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts |
title | COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts |
title_full | COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts |
title_fullStr | COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts |
title_full_unstemmed | COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts |
title_short | COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts |
title_sort | covid-19-specific transcriptomic signature detectable in blood across multiple cohorts |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388772/ https://www.ncbi.nlm.nih.gov/pubmed/35991542 http://dx.doi.org/10.3389/fgene.2022.929887 |
work_keys_str_mv | AT valikangastommi covid19specifictranscriptomicsignaturedetectableinbloodacrossmultiplecohorts AT junttilasini covid19specifictranscriptomicsignaturedetectableinbloodacrossmultiplecohorts AT rytkonenkallet covid19specifictranscriptomicsignaturedetectableinbloodacrossmultiplecohorts AT kukkonenmacchianu covid19specifictranscriptomicsignaturedetectableinbloodacrossmultiplecohorts AT suomitomi covid19specifictranscriptomicsignaturedetectableinbloodacrossmultiplecohorts AT elolaural covid19specifictranscriptomicsignaturedetectableinbloodacrossmultiplecohorts |