Urokinase-type plasminogen activator and plasminogen activator inhibitor-1 complex as a serum biomarker for COVID-19.

C-reactive protein COVID-19 fibrinolysis interleukin-6 plasminogen activator inhibitor-1 respiratory distress syndrome thrombosis urokinase-type plasminogen activator

Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2023
Historique:
received: 23 09 2023
accepted: 19 12 2023
medline: 5 2 2024
pubmed: 5 2 2024
entrez: 5 2 2024
Statut: epublish

Résumé

Patients with coronavirus disease-2019 (COVID-19) have an increased risk of thrombosis and acute respiratory distress syndrome (ARDS). Thrombosis is often attributed to increases in plasminogen activator inhibitor-1 (PAI-1) and a shut-down of fibrinolysis (blood clot dissolution). Decreased urokinase-type plasminogen activator (uPA), a protease necessary for cell-associated plasmin generation, and increased tissue-type plasminogen activator (tPA) and PAI-1 levels have been reported in COVID-19 patients. Because these factors can occur in free and complexed forms with differences in their biological functions, we examined the predictive impact of uPA, tPA, and PAI-1 in their free forms and complexes as a biomarker for COVID-19 severity and the development of ARDS. In this retrospective study of 69 Japanese adults hospitalized with COVID-19 and 20 healthy donors, we found elevated free, non-complexed PAI-1 antigen, low circulating uPA, and uPA/PAI-1 but not tPA/PAI-1 complex levels to be associated with COVID-19 severity and ARDS development. This biomarker profile was typical for patients in the complicated phase. Lack of PAI-1 activity in circulation despite free, non-complexed PAI-1 protein and plasmin/α2anti-plasmin complex correlated with suPAR and sVCAM levels, markers indicating endothelial dysfunction. Furthermore, uPA/PAI-1 complex levels positively correlated with TNFα, a cytokine reported to trigger inflammatory cell death and tissue damage. Those levels also positively correlated with lymphopenia and the pro-inflammatory factors interleukin1β (IL1β), IL6, and C-reactive protein, markers associated with the anti-viral inflammatory response. These findings argue for using uPA and uPA/PAI-1 as novel biomarkers to detect patients at risk of developing severe COVID-19, including ARDS.

Identifiants

pubmed: 38313435
doi: 10.3389/fimmu.2023.1299792
pmc: PMC10835145
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1299792

Informations de copyright

Copyright © 2024 Yatsenko, Rios, Nogueira, Takahashi, Tabe, Naito, Takahashi, Hattori and Heissig.

Déclaration de conflit d'intérêts

The authors TY, KH and BH have a patent pending for using uPA and uPA/PAI-1 complex measurements to determine disease severity in inflammatory diseases such as COVID-19 as demonstrated in this research. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Tetiana Yatsenko (T)

Department of Research Support Utilizing Bioresource Bank, Graduate School of Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Department of Enzymes Chemistry and Biochemistry, Palladin Institute of Biochemistry of the National Academy of Science of Ukraine, Kyiv, Ukraine.

Ricardo Rios (R)

Institute of Computing, Federal University of Bahia, Salvador, Bahia, Brazil.

Tatiane Nogueira (T)

Institute of Computing, Federal University of Bahia, Salvador, Bahia, Brazil.

Satoshi Takahashi (S)

Division of Clinical Precision Research Platform, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan.

Yoko Tabe (Y)

Department of Research Support Utilizing Bioresource Bank, Graduate School of Medicine, Juntendo University School of Medicine, Tokyo, Japan.

Toshio Naito (T)

Department of Research Support Utilizing Bioresource Bank, Graduate School of Medicine, Juntendo University School of Medicine, Tokyo, Japan.

Kazuhisa Takahashi (K)

Department of Research Support Utilizing Bioresource Bank, Graduate School of Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Department of Respiratory Medicine, Juntendo University School of Medicine, Tokyo, Japan.

Koichi Hattori (K)

Center for Genome and Regenerative Medicine, Juntendo University, Graduate School of Medicine, Tokyo, Japan.
Department of Hematology/Oncology, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan.

Beate Heissig (B)

Department of Research Support Utilizing Bioresource Bank, Graduate School of Medicine, Juntendo University School of Medicine, Tokyo, Japan.

Classifications MeSH