Evidence map›Paper›PMID 41409295›Full record

ArticleFrontiers in immunology2025

Serum profiling of uPA, PAI-1, and suPAR in systemic sclerosis: a preliminary study on analytical aspects and associations with microvascular and fibrotic manifestations.

Filomena Napolitano, Ilaria Mormile, Gabriele Mignogna, Amato de Paulis, Francesca Wanda Rossi, Nunzia Montuori

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Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Filomena NapolitanoDepartment of Translational Medical Sciences, University of Naples Federico II, Naples, Italy.
Ilaria MormileDepartment of Translational Medical Sciences, University of Naples Federico II, Naples, Italy.
Gabriele MignognaDepartment of Translational Medical Sciences, University of Naples Federico II, Naples, Italy.
Amato de PaulisDepartment of Translational Medical Sciences, University of Naples Federico II, Naples, Italy.
Francesca Wanda RossiDepartment of Translational Medical Sciences, University of Naples Federico II, Naples, Italy.
Nunzia MontuoriDepartment of Translational Medical Sciences, University of Naples Federico II, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In systemic sclerosis (SSc), the laboratory panel lacks biomarkers able to predict the disease course and/or reflect the fibrotic activity in the skin and internal organs. We assessed the association of the serum levels of urokinase (urokinase plasminogen activator, uPA), plasminogen activator inhibitor-1 (PAI-1), and soluble urokinase plasminogen activator receptor (suPAR) with the microvascular and fibrotic manifestations. Methods: A total of 21 patients with SSc were enrolled in the study. The serum levels of PAI-1, uPA, and suPAR were measured using ELISA, and the diagnostic performance of two widely debated suPAR ELISA kits, i.e., Human suPAR ELISA (Biovendor R&D, Brno, Czech Republic) and suPARnostic ELISA (Virogates, Copenaghen, Denmark), was examined in patients with SSc and in healthy controls. The serum uPA, PAI-1, and suPAR levels were correlated with the typical fibrotic and vascular markers, such as TGF-β1 and VEGF-A, the anti-Scl-70 antibodies, and the nailfold capillaroscopic abnormalities and pulmonary function indicators. Results: Lower circulating uPA (3,226 ± 2,444 pg/ml) and higher PAI-1 (95.30 ± 22.80 ng/ml) and suPAR (2.522 ± 1.186 ng/ml with Human suPAR ELISA and 3.835 ± 2.944 ng/ml with suPARnostic ELISA) levels were found in patients with SSc. Both suPAR assays showed high sensitivity and specificity for SSc. However, suPAR measured using the suPARnostic assay displayed stronger associations with the clinical manifestations, indicating its potential as a marker of disease severity. uPA was negatively correlated with TGF-β1 ( Conclusion: This preliminary study provides meaningful evidence supporting the potential of suPAR as a marker of disease severity in SSc and the impact of method-related differences in the levels of suPAR.

Indexed as

MicrovesselsPlasminogen Activator Inhibitor 1Receptors, Urokinase Plasminogen ActivatorScleroderma, SystemicUrokinase-Type Plasminogen ActivatorAdultAgedBiomarkersFemaleFibrosisHumansMaleMiddle AgedBiomarkersPlasminogen Activator Inhibitor 1PLAUR protein, humanReceptors, Urokinase Plasminogen ActivatorSERPINE1 protein, humanUrokinase-Type Plasminogen Activatorfibrosismicrovascular abnormalitiesplasminogen activator inhibitor-1soluble urokinase plasminogen activatorsystemic sclerosisurokinase

Identifiers

PMID41409295
PMCPMC12705569

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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 OpenQuestion graph.