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Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 Progressors

The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a rapid response by the scientific community to further understand and combat its associated pathologic etiology. A focal point has been on the immune responses mounted during the acute and post-acute...

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Autores principales: Drake, Katherine A., Talantov, Dimitri, Tong, Gary J., Lin, Jack T., Verheijden, Simon, Katz, Samuel, Leung, Jacqueline M., Yuen, Benjamin, Krishna, Vinod, Wu, Michelle J., Sutherland, Alex, Short, Sarah A., Kheradpour, Pouya, Mumbach, Maxwell, Franz, Kate, Trifonov, Vladimir, Lucas, Molly V., Merson, James, Kim, Charles C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246026/
https://www.ncbi.nlm.nih.gov/pubmed/37292797
http://dx.doi.org/10.1101/2023.05.25.542297
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author Drake, Katherine A.
Talantov, Dimitri
Tong, Gary J.
Lin, Jack T.
Verheijden, Simon
Katz, Samuel
Leung, Jacqueline M.
Yuen, Benjamin
Krishna, Vinod
Wu, Michelle J.
Sutherland, Alex
Short, Sarah A.
Kheradpour, Pouya
Mumbach, Maxwell
Franz, Kate
Trifonov, Vladimir
Lucas, Molly V.
Merson, James
Kim, Charles C.
author_facet Drake, Katherine A.
Talantov, Dimitri
Tong, Gary J.
Lin, Jack T.
Verheijden, Simon
Katz, Samuel
Leung, Jacqueline M.
Yuen, Benjamin
Krishna, Vinod
Wu, Michelle J.
Sutherland, Alex
Short, Sarah A.
Kheradpour, Pouya
Mumbach, Maxwell
Franz, Kate
Trifonov, Vladimir
Lucas, Molly V.
Merson, James
Kim, Charles C.
author_sort Drake, Katherine A.
collection PubMed
description The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a rapid response by the scientific community to further understand and combat its associated pathologic etiology. A focal point has been on the immune responses mounted during the acute and post-acute phases of infection, but the immediate post-diagnosis phase remains relatively understudied. We sought to better understand the immediate post-diagnosis phase by collecting blood from study participants soon after a positive test and identifying molecular associations with longitudinal disease outcomes. Multi-omic analyses identified differences in immune cell composition, cytokine levels, and cell subset-specific transcriptomic and epigenomic signatures between individuals on a more serious disease trajectory (Progressors) as compared to those on a milder course (Non-progressors). Higher levels of multiple cytokines were observed in Progressors, with IL-6 showing the largest difference. Blood monocyte cell subsets were also skewed, showing a comparative decrease in non-classical CD14(−)CD16(+) and intermediate CD14(+)CD16(+) monocytes. Additionally, in the lymphocyte compartment, CD8(+) T effector memory cells displayed a gene expression signature consistent with stronger T cell activation in Progressors. Importantly, the identification of these cellular and molecular immune changes occurred at the early stages of COVID-19 disease. These observations could serve as the basis for the development of prognostic biomarkers of disease risk and interventional strategies to improve the management of severe COVID-19.
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spelling pubmed-102460262023-06-08 Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 Progressors Drake, Katherine A. Talantov, Dimitri Tong, Gary J. Lin, Jack T. Verheijden, Simon Katz, Samuel Leung, Jacqueline M. Yuen, Benjamin Krishna, Vinod Wu, Michelle J. Sutherland, Alex Short, Sarah A. Kheradpour, Pouya Mumbach, Maxwell Franz, Kate Trifonov, Vladimir Lucas, Molly V. Merson, James Kim, Charles C. bioRxiv Article The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a rapid response by the scientific community to further understand and combat its associated pathologic etiology. A focal point has been on the immune responses mounted during the acute and post-acute phases of infection, but the immediate post-diagnosis phase remains relatively understudied. We sought to better understand the immediate post-diagnosis phase by collecting blood from study participants soon after a positive test and identifying molecular associations with longitudinal disease outcomes. Multi-omic analyses identified differences in immune cell composition, cytokine levels, and cell subset-specific transcriptomic and epigenomic signatures between individuals on a more serious disease trajectory (Progressors) as compared to those on a milder course (Non-progressors). Higher levels of multiple cytokines were observed in Progressors, with IL-6 showing the largest difference. Blood monocyte cell subsets were also skewed, showing a comparative decrease in non-classical CD14(−)CD16(+) and intermediate CD14(+)CD16(+) monocytes. Additionally, in the lymphocyte compartment, CD8(+) T effector memory cells displayed a gene expression signature consistent with stronger T cell activation in Progressors. Importantly, the identification of these cellular and molecular immune changes occurred at the early stages of COVID-19 disease. These observations could serve as the basis for the development of prognostic biomarkers of disease risk and interventional strategies to improve the management of severe COVID-19. Cold Spring Harbor Laboratory 2023-05-26 /pmc/articles/PMC10246026/ /pubmed/37292797 http://dx.doi.org/10.1101/2023.05.25.542297 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Drake, Katherine A.
Talantov, Dimitri
Tong, Gary J.
Lin, Jack T.
Verheijden, Simon
Katz, Samuel
Leung, Jacqueline M.
Yuen, Benjamin
Krishna, Vinod
Wu, Michelle J.
Sutherland, Alex
Short, Sarah A.
Kheradpour, Pouya
Mumbach, Maxwell
Franz, Kate
Trifonov, Vladimir
Lucas, Molly V.
Merson, James
Kim, Charles C.
Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 Progressors
title Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 Progressors
title_full Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 Progressors
title_fullStr Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 Progressors
title_full_unstemmed Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 Progressors
title_short Multi-omic Profiling Reveals Early Immunological Indicators for Identifying COVID-19 Progressors
title_sort multi-omic profiling reveals early immunological indicators for identifying covid-19 progressors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246026/
https://www.ncbi.nlm.nih.gov/pubmed/37292797
http://dx.doi.org/10.1101/2023.05.25.542297
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