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

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:11

Enthalten in:

Frontiers in medicine - 11(2024) vom: 23., Seite 1319980

Sprache:

Englisch

Beteiligte Personen:

Takashima, Yasuo [VerfasserIn]
Inaba, Tohru [VerfasserIn]
Matsuyama, Tasuku [VerfasserIn]
Yoshii, Kengo [VerfasserIn]
Tanaka, Masami [VerfasserIn]
Matsumoto, Kazumichi [VerfasserIn]
Sudo, Kazuki [VerfasserIn]
Tokuda, Yuichi [VerfasserIn]
Omi, Natsue [VerfasserIn]
Nakano, Masakazu [VerfasserIn]
Nakaya, Takaaki [VerfasserIn]
Fujita, Naohisa [VerfasserIn]
Sotozono, Chie [VerfasserIn]
Sawa, Teiji [VerfasserIn]
Tashiro, Kei [VerfasserIn]
Ohta, Bon [VerfasserIn]

Links:

Volltext

Themen:

Blood-circulating cytokine
COVID-19
Coefficient of variation
Cytokine storm
Journal Article
Timelapse monitoring

Anmerkungen:

Date Revised 14.03.2024

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.3389/fmed.2024.1319980

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369661613