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Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients
The IMPACC cohort, composed of >1,000 hospitalized COVID-19 participants, contains five illness trajectory groups (TGs) during acute infection (first 28 days), ranging from milder (TG1–3) to more severe disease course (TG4) and death (TG5). Here, we report deep immunophenotyping, profiling of >...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203880/ https://www.ncbi.nlm.nih.gov/pubmed/37327781 http://dx.doi.org/10.1016/j.xcrm.2023.101079 |
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author | Diray-Arce, Joann Fourati, Slim Doni Jayavelu, Naresh Patel, Ravi Maguire, Cole Chang, Ana C. Dandekar, Ravi Qi, Jingjing Lee, Brian H. van Zalm, Patrick Schroeder, Andrew Chen, Ernie Konstorum, Anna Brito, Anderson Gygi, Jeremy P. Kho, Alvin Chen, Jing Pawar, Shrikant Gonzalez-Reiche, Ana Silvia Hoch, Annmarie Milliren, Carly E. Overton, James A. Westendorf, Kerstin Cairns, Charles B. Rouphael, Nadine Bosinger, Steven E. Kim-Schulze, Seunghee Krammer, Florian Rosen, Lindsey Grubaugh, Nathan D. van Bakel, Harm Wilson, Michael Rajan, Jayant Steen, Hanno Eckalbar, Walter Cotsapas, Chris Langelier, Charles R. Levy, Ofer Altman, Matthew C. Maecker, Holden Montgomery, Ruth R. Haddad, Elias K. Sekaly, Rafick P. Esserman, Denise Ozonoff, Al Becker, Patrice M. Augustine, Alison D. Guan, Leying Peters, Bjoern Kleinstein, Steven H. |
author_facet | Diray-Arce, Joann Fourati, Slim Doni Jayavelu, Naresh Patel, Ravi Maguire, Cole Chang, Ana C. Dandekar, Ravi Qi, Jingjing Lee, Brian H. van Zalm, Patrick Schroeder, Andrew Chen, Ernie Konstorum, Anna Brito, Anderson Gygi, Jeremy P. Kho, Alvin Chen, Jing Pawar, Shrikant Gonzalez-Reiche, Ana Silvia Hoch, Annmarie Milliren, Carly E. Overton, James A. Westendorf, Kerstin Cairns, Charles B. Rouphael, Nadine Bosinger, Steven E. Kim-Schulze, Seunghee Krammer, Florian Rosen, Lindsey Grubaugh, Nathan D. van Bakel, Harm Wilson, Michael Rajan, Jayant Steen, Hanno Eckalbar, Walter Cotsapas, Chris Langelier, Charles R. Levy, Ofer Altman, Matthew C. Maecker, Holden Montgomery, Ruth R. Haddad, Elias K. Sekaly, Rafick P. Esserman, Denise Ozonoff, Al Becker, Patrice M. Augustine, Alison D. Guan, Leying Peters, Bjoern Kleinstein, Steven H. |
author_sort | Diray-Arce, Joann |
collection | PubMed |
description | The IMPACC cohort, composed of >1,000 hospitalized COVID-19 participants, contains five illness trajectory groups (TGs) during acute infection (first 28 days), ranging from milder (TG1–3) to more severe disease course (TG4) and death (TG5). Here, we report deep immunophenotyping, profiling of >15,000 longitudinal blood and nasal samples from 540 participants of the IMPACC cohort, using 14 distinct assays. These unbiased analyses identify cellular and molecular signatures present within 72 h of hospital admission that distinguish moderate from severe and fatal COVID-19 disease. Importantly, cellular and molecular states also distinguish participants with more severe disease that recover or stabilize within 28 days from those that progress to fatal outcomes (TG4 vs. TG5). Furthermore, our longitudinal design reveals that these biologic states display distinct temporal patterns associated with clinical outcomes. Characterizing host immune responses in relation to heterogeneity in disease course may inform clinical prognosis and opportunities for intervention. |
format | Online Article Text |
id | pubmed-10203880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102038802023-05-23 Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients Diray-Arce, Joann Fourati, Slim Doni Jayavelu, Naresh Patel, Ravi Maguire, Cole Chang, Ana C. Dandekar, Ravi Qi, Jingjing Lee, Brian H. van Zalm, Patrick Schroeder, Andrew Chen, Ernie Konstorum, Anna Brito, Anderson Gygi, Jeremy P. Kho, Alvin Chen, Jing Pawar, Shrikant Gonzalez-Reiche, Ana Silvia Hoch, Annmarie Milliren, Carly E. Overton, James A. Westendorf, Kerstin Cairns, Charles B. Rouphael, Nadine Bosinger, Steven E. Kim-Schulze, Seunghee Krammer, Florian Rosen, Lindsey Grubaugh, Nathan D. van Bakel, Harm Wilson, Michael Rajan, Jayant Steen, Hanno Eckalbar, Walter Cotsapas, Chris Langelier, Charles R. Levy, Ofer Altman, Matthew C. Maecker, Holden Montgomery, Ruth R. Haddad, Elias K. Sekaly, Rafick P. Esserman, Denise Ozonoff, Al Becker, Patrice M. Augustine, Alison D. Guan, Leying Peters, Bjoern Kleinstein, Steven H. Cell Rep Med Article The IMPACC cohort, composed of >1,000 hospitalized COVID-19 participants, contains five illness trajectory groups (TGs) during acute infection (first 28 days), ranging from milder (TG1–3) to more severe disease course (TG4) and death (TG5). Here, we report deep immunophenotyping, profiling of >15,000 longitudinal blood and nasal samples from 540 participants of the IMPACC cohort, using 14 distinct assays. These unbiased analyses identify cellular and molecular signatures present within 72 h of hospital admission that distinguish moderate from severe and fatal COVID-19 disease. Importantly, cellular and molecular states also distinguish participants with more severe disease that recover or stabilize within 28 days from those that progress to fatal outcomes (TG4 vs. TG5). Furthermore, our longitudinal design reveals that these biologic states display distinct temporal patterns associated with clinical outcomes. Characterizing host immune responses in relation to heterogeneity in disease course may inform clinical prognosis and opportunities for intervention. Elsevier 2023-05-23 /pmc/articles/PMC10203880/ /pubmed/37327781 http://dx.doi.org/10.1016/j.xcrm.2023.101079 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Diray-Arce, Joann Fourati, Slim Doni Jayavelu, Naresh Patel, Ravi Maguire, Cole Chang, Ana C. Dandekar, Ravi Qi, Jingjing Lee, Brian H. van Zalm, Patrick Schroeder, Andrew Chen, Ernie Konstorum, Anna Brito, Anderson Gygi, Jeremy P. Kho, Alvin Chen, Jing Pawar, Shrikant Gonzalez-Reiche, Ana Silvia Hoch, Annmarie Milliren, Carly E. Overton, James A. Westendorf, Kerstin Cairns, Charles B. Rouphael, Nadine Bosinger, Steven E. Kim-Schulze, Seunghee Krammer, Florian Rosen, Lindsey Grubaugh, Nathan D. van Bakel, Harm Wilson, Michael Rajan, Jayant Steen, Hanno Eckalbar, Walter Cotsapas, Chris Langelier, Charles R. Levy, Ofer Altman, Matthew C. Maecker, Holden Montgomery, Ruth R. Haddad, Elias K. Sekaly, Rafick P. Esserman, Denise Ozonoff, Al Becker, Patrice M. Augustine, Alison D. Guan, Leying Peters, Bjoern Kleinstein, Steven H. Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients |
title | Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients |
title_full | Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients |
title_fullStr | Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients |
title_full_unstemmed | Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients |
title_short | Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients |
title_sort | multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized covid-19 patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203880/ https://www.ncbi.nlm.nih.gov/pubmed/37327781 http://dx.doi.org/10.1016/j.xcrm.2023.101079 |
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