Potential marker subset of blood-circulating cytokines on hematopoietic progenitor-to-Th1 pathway in COVID-19
Copyright © 2024 Takashima, Inaba, Matsuyama, Yoshii, Tanaka, Matsumoto, Sudo, Tokuda, Omi, Nakano, Nakaya, Fujita, Sotozono, Sawa, Tashiro and Ohta..
In this study, we analyzed a relatively large subset of proteins, including 109 kinds of blood-circulating cytokines, and precisely described a cytokine storm in the expression level and the range of fluctuations during hospitalization for COVID-19. Of the proteins analyzed in COVID-19, approximately 70% were detected with Bonferroni-corrected significant differences in comparison with disease severity, clinical outcome, long-term hospitalization, and disease progression and recovery. Specifically, IP-10, sTNF-R1, sTNF-R2, sCD30, sCD163, HGF, SCYB16, IL-16, MIG, SDF-1, and fractalkine were found to be major components of the COVID-19 cytokine storm. Moreover, the 11 cytokines (i.e., SDF-1, SCYB16, sCD30, IL-11, IL-18, IL-8, IFN-γ, TNF-α, sTNF-R2, M-CSF, and I-309) were associated with the infection, mortality, disease progression and recovery, and long-term hospitalization. Increased expression of these cytokines could be explained in sequential pathways from hematopoietic progenitor cell differentiation to Th1-derived hyperinflammation in COVID-19, which might also develop a novel strategy for COVID-19 therapy with recombinant interleukins and anti-chemokine drugs.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
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Enthalten in: |
Frontiers in medicine - 11(2024) vom: 23., Seite 1319980 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Takashima, Yasuo [VerfasserIn] |
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Links: |
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Themen: |
Blood-circulating cytokine |
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Anmerkungen: |
Date Revised 14.03.2024 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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doi: |
10.3389/fmed.2024.1319980 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM369661613 |
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520 | |a In this study, we analyzed a relatively large subset of proteins, including 109 kinds of blood-circulating cytokines, and precisely described a cytokine storm in the expression level and the range of fluctuations during hospitalization for COVID-19. Of the proteins analyzed in COVID-19, approximately 70% were detected with Bonferroni-corrected significant differences in comparison with disease severity, clinical outcome, long-term hospitalization, and disease progression and recovery. Specifically, IP-10, sTNF-R1, sTNF-R2, sCD30, sCD163, HGF, SCYB16, IL-16, MIG, SDF-1, and fractalkine were found to be major components of the COVID-19 cytokine storm. Moreover, the 11 cytokines (i.e., SDF-1, SCYB16, sCD30, IL-11, IL-18, IL-8, IFN-γ, TNF-α, sTNF-R2, M-CSF, and I-309) were associated with the infection, mortality, disease progression and recovery, and long-term hospitalization. Increased expression of these cytokines could be explained in sequential pathways from hematopoietic progenitor cell differentiation to Th1-derived hyperinflammation in COVID-19, which might also develop a novel strategy for COVID-19 therapy with recombinant interleukins and anti-chemokine drugs | ||
650 | 4 | |a Journal Article | |
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650 | 4 | |a cytokine storm | |
650 | 4 | |a timelapse monitoring | |
700 | 1 | |a Inaba, Tohru |e verfasserin |4 aut | |
700 | 1 | |a Matsuyama, Tasuku |e verfasserin |4 aut | |
700 | 1 | |a Yoshii, Kengo |e verfasserin |4 aut | |
700 | 1 | |a Tanaka, Masami |e verfasserin |4 aut | |
700 | 1 | |a Matsumoto, Kazumichi |e verfasserin |4 aut | |
700 | 1 | |a Sudo, Kazuki |e verfasserin |4 aut | |
700 | 1 | |a Tokuda, Yuichi |e verfasserin |4 aut | |
700 | 1 | |a Omi, Natsue |e verfasserin |4 aut | |
700 | 1 | |a Nakano, Masakazu |e verfasserin |4 aut | |
700 | 1 | |a Nakaya, Takaaki |e verfasserin |4 aut | |
700 | 1 | |a Fujita, Naohisa |e verfasserin |4 aut | |
700 | 1 | |a Sotozono, Chie |e verfasserin |4 aut | |
700 | 1 | |a Sawa, Teiji |e verfasserin |4 aut | |
700 | 1 | |a Tashiro, Kei |e verfasserin |4 aut | |
700 | 1 | |a Ohta, Bon |e verfasserin |4 aut | |
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