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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2020
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.
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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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