Evidence map›Paper›PMID 40141024›Full record

ArticleInternational journal of molecular sciences2025

Characterization of Circulating Vesicles of Complicated and Uncomplicated Systemic Sclerosis Patients and Their Role in Vascular Dysfunction.

Elena Grossini, Mattia Bellan, Sakthipriyan Venkatesan, Mohammad Mostafa Ola Pour, Marco Mennuni, Domenico D'Amario, Stefania Bruno, Daniela Ferrante, Daniela Capello, Pier Paolo Sainaghi and 2 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Elena GrossiniLaboratory of Physiology, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0002-3012-259X
Mattia BellanInternal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, Azienda Ospedaliera Universitaria Maggiore della Carità, 28100 Novara, Italy.ORCID 0000-0003-1488-8736
Sakthipriyan VenkatesanLaboratory of Physiology, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0002-7517-2574
Mohammad Mostafa Ola PourLaboratory of Physiology, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0001-8810-4688
Marco MennuniCardiology Unit, Department of Translational Medicine, Università del Piemonte Orientale, Azienda Ospedaliera Universitaria Maggiore della Carità, 28100 Novara, Italy.
Domenico D'AmarioCardiology Unit, Department of Translational Medicine, Università del Piemonte Orientale, Azienda Ospedaliera Universitaria Maggiore della Carità, 28100 Novara, Italy.
Stefania BrunoLaboratory of Translational Research, Department of Medical Sciences, University of Torino, 10126 Torino, Italy.ORCID 0000-0002-8879-9536
Daniela FerranteStatistic Unit, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0003-4929-3759
Daniela CapelloLaboratory of Clinical Biochemistry, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0001-9157-8753
Pier Paolo SainaghiInternal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, Azienda Ospedaliera Universitaria Maggiore della Carità, 28100 Novara, Italy.ORCID 0000-0001-8322-9158
Mario PirisiInternal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, Azienda Ospedaliera Universitaria Maggiore della Carità, 28100 Novara, Italy.ORCID 0000-0001-9740-0155
Giuseppe PattiCardiology Unit, Department of Translational Medicine, Università del Piemonte Orientale, Azienda Ospedaliera Universitaria Maggiore della Carità, 28100 Novara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) could be involved in the onset of systemic sclerosis (SSc) through the modulation of vascular function. Anyway, available data are contradictory, and further investigation would be necessary to clarify this aspect. Here, we characterized circulating EVs isolated from SSc patients and evaluated their effects on human vascular endothelial cells (HUVECs) and smooth muscle cells. In EVs from 13 complicated and 27 uncomplicated SSc patients and five healthy controls (HCs), we analyzed the size, concentration, and surface marker expression. In addition, EVs were used to stimulate HUVECs, and we evaluated cell viability, mitochondrial membrane potential, and nitric oxide (NO) and mitochondrial reactive oxygen species (MitoROS) release. In smooth muscle cells, the effects of EVs on calcium movement were examined. The results showed that the EVs of SSc patients expressed markers of T-lymphocyte/platelet/endothelial cell origin and were larger and more concentrated than those from HCs. In addition, the EVs of SSc patients reduced cell viability and mitochondrial membrane potential and increased NO and MitoROS release in HUVECs and intracellular calcium in smooth muscle cells. In conclusion, we found a specific pattern for EVs isolated from SSc patients, which could have a pathogenic role through direct actions on endothelial and smooth muscle cells.

Indexed as

Extracellular VesiclesScleroderma, SystemicAdultAgedBiomarkersCalciumCase-Control StudiesCell SurvivalFemaleHumansHuman Umbilical Vein Endothelial CellsMaleMembrane Potential, MitochondrialMiddle AgedMyocytes, Smooth MuscleNitric OxideBiomarkersCalciumNitric OxideReactive Oxygen Speciesbiologic markersmitochondriaoxidative stressviability

Identifiers

PMID40141024
PMCPMC11942416

What OpenQuestion holds

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Registered trials

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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.