Evidence map›Paper›PMID 38313435›Full record

ArticleFrontiers in immunology2023

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

Tetiana Yatsenko, Ricardo Rios, Tatiane Nogueira, Satoshi Takahashi, Yoko Tabe, Toshio Naito, Kazuhisa Takahashi, Koichi Hattori, Beate Heissig

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Coagulation Markers and Myocardial Blush Grade in STEMI: Identifying Potential Predictors of Microvascular Reperfusion.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Tetiana YatsenkoDepartment of Research Support Utilizing Bioresource Bank, Graduate School of Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Ricardo RiosInstitute of Computing, Federal University of Bahia, Salvador, Bahia, Brazil.
Tatiane NogueiraInstitute of Computing, Federal University of Bahia, Salvador, Bahia, Brazil.
Satoshi TakahashiDivision of Clinical Precision Research Platform, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan.
Yoko TabeDepartment of Research Support Utilizing Bioresource Bank, Graduate School of Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Toshio NaitoDepartment of Research Support Utilizing Bioresource Bank, Graduate School of Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Kazuhisa TakahashiDepartment of Research Support Utilizing Bioresource Bank, Graduate School of Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Koichi HattoriCenter for Genome and Regenerative Medicine, Juntendo University, Graduate School of Medicine, Tokyo, Japan.
Beate HeissigDepartment of Research Support Utilizing Bioresource Bank, Graduate School of Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Juntendo University · JPThe University of Tokyo · JPUniversidade Federal da Bahia · BRPalladin Institute of Biochemistry · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Respiratory Distress SyndromeThrombosisAdultBiomarkersFibrinolysinHumansPlasminogen Activator Inhibitor 1Retrospective StudiesUrokinase-Type Plasminogen ActivatorBiomarkersFibrinolysinPlasminogen Activator Inhibitor 1Urokinase-Type Plasminogen ActivatorCOVID-19C-reactive proteinfibrinolysisinterleukin-6plasminogen activator inhibitor-1respiratory distress syndromethrombosisurokinase-type plasminogen activator

Identifiers

PMID38313435
PMCPMC10835145
OpenAlexW4390741427

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.