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Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19
We present an integrated analysis of the clinical measurements, immune cells, and plasma multi-omics of 139 COVID-19 patients representing all levels of disease severity, from serial blood draws collected during the first week of infection following diagnosis. We identify a major shift between mild...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598382/ https://www.ncbi.nlm.nih.gov/pubmed/33171100 http://dx.doi.org/10.1016/j.cell.2020.10.037 |
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author | Su, Yapeng Chen, Daniel Yuan, Dan Lausted, Christopher Choi, Jongchan Dai, Chengzhen L. Voillet, Valentin Duvvuri, Venkata R. Scherler, Kelsey Troisch, Pamela Baloni, Priyanka Qin, Guangrong Smith, Brett Kornilov, Sergey A. Rostomily, Clifford Xu, Alex Li, Jing Dong, Shen Rothchild, Alissa Zhou, Jing Murray, Kim Edmark, Rick Hong, Sunga Heath, John E. Earls, John Zhang, Rongyu Xie, Jingyi Li, Sarah Roper, Ryan Jones, Lesley Zhou, Yong Rowen, Lee Liu, Rachel Mackay, Sean O’Mahony, D. Shane Dale, Christopher R. Wallick, Julie A. Algren, Heather A. Zager, Michael A. Wei, Wei Price, Nathan D. Huang, Sui Subramanian, Naeha Wang, Kai Magis, Andrew T. Hadlock, Jenn J. Hood, Leroy Aderem, Alan Bluestone, Jeffrey A. Lanier, Lewis L. Greenberg, Philip D. Gottardo, Raphael Davis, Mark M. Goldman, Jason D. Heath, James R. |
author_facet | Su, Yapeng Chen, Daniel Yuan, Dan Lausted, Christopher Choi, Jongchan Dai, Chengzhen L. Voillet, Valentin Duvvuri, Venkata R. Scherler, Kelsey Troisch, Pamela Baloni, Priyanka Qin, Guangrong Smith, Brett Kornilov, Sergey A. Rostomily, Clifford Xu, Alex Li, Jing Dong, Shen Rothchild, Alissa Zhou, Jing Murray, Kim Edmark, Rick Hong, Sunga Heath, John E. Earls, John Zhang, Rongyu Xie, Jingyi Li, Sarah Roper, Ryan Jones, Lesley Zhou, Yong Rowen, Lee Liu, Rachel Mackay, Sean O’Mahony, D. Shane Dale, Christopher R. Wallick, Julie A. Algren, Heather A. Zager, Michael A. Wei, Wei Price, Nathan D. Huang, Sui Subramanian, Naeha Wang, Kai Magis, Andrew T. Hadlock, Jenn J. Hood, Leroy Aderem, Alan Bluestone, Jeffrey A. Lanier, Lewis L. Greenberg, Philip D. Gottardo, Raphael Davis, Mark M. Goldman, Jason D. Heath, James R. |
author_sort | Su, Yapeng |
collection | PubMed |
description | We present an integrated analysis of the clinical measurements, immune cells, and plasma multi-omics of 139 COVID-19 patients representing all levels of disease severity, from serial blood draws collected during the first week of infection following diagnosis. We identify a major shift between mild and moderate disease, at which point elevated inflammatory signaling is accompanied by the loss of specific classes of metabolites and metabolic processes. Within this stressed plasma environment at moderate disease, multiple unusual immune cell phenotypes emerge and amplify with increasing disease severity. We condensed over 120,000 immune features into a single axis to capture how different immune cell classes coordinate in response to SARS-CoV-2. This immune-response axis independently aligns with the major plasma composition changes, with clinical metrics of blood clotting, and with the sharp transition between mild and moderate disease. This study suggests that moderate disease may provide the most effective setting for therapeutic intervention. |
format | Online Article Text |
id | pubmed-7598382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75983822020-11-02 Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19 Su, Yapeng Chen, Daniel Yuan, Dan Lausted, Christopher Choi, Jongchan Dai, Chengzhen L. Voillet, Valentin Duvvuri, Venkata R. Scherler, Kelsey Troisch, Pamela Baloni, Priyanka Qin, Guangrong Smith, Brett Kornilov, Sergey A. Rostomily, Clifford Xu, Alex Li, Jing Dong, Shen Rothchild, Alissa Zhou, Jing Murray, Kim Edmark, Rick Hong, Sunga Heath, John E. Earls, John Zhang, Rongyu Xie, Jingyi Li, Sarah Roper, Ryan Jones, Lesley Zhou, Yong Rowen, Lee Liu, Rachel Mackay, Sean O’Mahony, D. Shane Dale, Christopher R. Wallick, Julie A. Algren, Heather A. Zager, Michael A. Wei, Wei Price, Nathan D. Huang, Sui Subramanian, Naeha Wang, Kai Magis, Andrew T. Hadlock, Jenn J. Hood, Leroy Aderem, Alan Bluestone, Jeffrey A. Lanier, Lewis L. Greenberg, Philip D. Gottardo, Raphael Davis, Mark M. Goldman, Jason D. Heath, James R. Cell Article We present an integrated analysis of the clinical measurements, immune cells, and plasma multi-omics of 139 COVID-19 patients representing all levels of disease severity, from serial blood draws collected during the first week of infection following diagnosis. We identify a major shift between mild and moderate disease, at which point elevated inflammatory signaling is accompanied by the loss of specific classes of metabolites and metabolic processes. Within this stressed plasma environment at moderate disease, multiple unusual immune cell phenotypes emerge and amplify with increasing disease severity. We condensed over 120,000 immune features into a single axis to capture how different immune cell classes coordinate in response to SARS-CoV-2. This immune-response axis independently aligns with the major plasma composition changes, with clinical metrics of blood clotting, and with the sharp transition between mild and moderate disease. This study suggests that moderate disease may provide the most effective setting for therapeutic intervention. Cell Press 2020-12-10 /pmc/articles/PMC7598382/ /pubmed/33171100 http://dx.doi.org/10.1016/j.cell.2020.10.037 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Su, Yapeng Chen, Daniel Yuan, Dan Lausted, Christopher Choi, Jongchan Dai, Chengzhen L. Voillet, Valentin Duvvuri, Venkata R. Scherler, Kelsey Troisch, Pamela Baloni, Priyanka Qin, Guangrong Smith, Brett Kornilov, Sergey A. Rostomily, Clifford Xu, Alex Li, Jing Dong, Shen Rothchild, Alissa Zhou, Jing Murray, Kim Edmark, Rick Hong, Sunga Heath, John E. Earls, John Zhang, Rongyu Xie, Jingyi Li, Sarah Roper, Ryan Jones, Lesley Zhou, Yong Rowen, Lee Liu, Rachel Mackay, Sean O’Mahony, D. Shane Dale, Christopher R. Wallick, Julie A. Algren, Heather A. Zager, Michael A. Wei, Wei Price, Nathan D. Huang, Sui Subramanian, Naeha Wang, Kai Magis, Andrew T. Hadlock, Jenn J. Hood, Leroy Aderem, Alan Bluestone, Jeffrey A. Lanier, Lewis L. Greenberg, Philip D. Gottardo, Raphael Davis, Mark M. Goldman, Jason D. Heath, James R. Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19 |
title | Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19 |
title_full | Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19 |
title_fullStr | Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19 |
title_full_unstemmed | Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19 |
title_short | Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19 |
title_sort | multi-omics resolves a sharp disease-state shift between mild and moderate covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598382/ https://www.ncbi.nlm.nih.gov/pubmed/33171100 http://dx.doi.org/10.1016/j.cell.2020.10.037 |
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