Systems-Level Immunomonitoring from Acute to Recovery Phase of Severe COVID-19
© 2020 The Author(s)..
Severe disease of SARS-CoV-2 is characterized by vigorous inflammatory responses in the lung, often with a sudden onset after 5-7 days of stable disease. Efforts to modulate this hyperinflammation and the associated acute respiratory distress syndrome rely on the unraveling of the immune cell interactions and cytokines that drive such responses. Given that every patient is captured at different stages of infection, longitudinal monitoring of the immune response is critical and systems-level analyses are required to capture cellular interactions. Here, we report on a systems-level blood immunomonitoring study of 37 adult patients diagnosed with COVID-19 and followed with up to 14 blood samples from acute to recovery phases of the disease. We describe an IFNγ-eosinophil axis activated before lung hyperinflammation and changes in cell-cell co-regulation during different stages of the disease. We also map an immune trajectory during recovery that is shared among patients with severe COVID-19.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:1 |
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| Enthalten in: |
Cell reports. Medicine - 1(2020), 5 vom: 25. Aug., Seite 100078 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Rodriguez, Lucie [VerfasserIn] |
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| Links: |
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| Themen: |
82115-62-6 |
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| Anmerkungen: |
Date Completed 22.02.2022 Date Revised 22.02.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.xcrm.2020.100078 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM314117873 |
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| 520 | |a © 2020 The Author(s). | ||
| 520 | |a Severe disease of SARS-CoV-2 is characterized by vigorous inflammatory responses in the lung, often with a sudden onset after 5-7 days of stable disease. Efforts to modulate this hyperinflammation and the associated acute respiratory distress syndrome rely on the unraveling of the immune cell interactions and cytokines that drive such responses. Given that every patient is captured at different stages of infection, longitudinal monitoring of the immune response is critical and systems-level analyses are required to capture cellular interactions. Here, we report on a systems-level blood immunomonitoring study of 37 adult patients diagnosed with COVID-19 and followed with up to 14 blood samples from acute to recovery phases of the disease. We describe an IFNγ-eosinophil axis activated before lung hyperinflammation and changes in cell-cell co-regulation during different stages of the disease. We also map an immune trajectory during recovery that is shared among patients with severe COVID-19 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
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| 650 | 4 | |a human immunology | |
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| 650 | 4 | |a plasma proteins | |
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| 700 | 1 | |a Pekkarinen, Pirkka T |e verfasserin |4 aut | |
| 700 | 1 | |a Lakshmikanth, Tadepally |e verfasserin |4 aut | |
| 700 | 1 | |a Tan, Ziyang |e verfasserin |4 aut | |
| 700 | 1 | |a Consiglio, Camila Rosat |e verfasserin |4 aut | |
| 700 | 1 | |a Pou, Christian |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Yang |e verfasserin |4 aut | |
| 700 | 1 | |a Mugabo, Constantin Habimana |e verfasserin |4 aut | |
| 700 | 1 | |a Nguyen, Ngoc Anh |e verfasserin |4 aut | |
| 700 | 1 | |a Nowlan, Kirsten |e verfasserin |4 aut | |
| 700 | 1 | |a Strandin, Tomas |e verfasserin |4 aut | |
| 700 | 1 | |a Levanov, Lev |e verfasserin |4 aut | |
| 700 | 1 | |a Mikes, Jaromir |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Jun |e verfasserin |4 aut | |
| 700 | 1 | |a Kantele, Anu |e verfasserin |4 aut | |
| 700 | 1 | |a Hepojoki, Jussi |e verfasserin |4 aut | |
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| 700 | 1 | |a Heinonen, Santtu |e verfasserin |4 aut | |
| 700 | 1 | |a Kekäläinen, Eliisa |e verfasserin |4 aut | |
| 700 | 1 | |a Brodin, Petter |e verfasserin |4 aut | |
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