Evidence map›Paper›PMID 41249267›Full record

ArticleScientific reports2025

MiRNAs profile of extracellular vesicles from differentiated endothelial cells treated with chemical environmental pollutant BPA.

Ylenia Della Rocca, Fanì Konstantinidou, Guya Diletta Marconi, Antonella Mazzone, Valentina Gatta, Liborio Stuppia, Marcos Fernando Xisto Braga Cavalcanti, Emanuela Mazzon, Roberta Szymanski, Oriana Trubiani and 2 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Ylenia Della RoccaDepartment of Innovative Technologies in Medicine & Dentistry, University "G. d'Annunzio" Chieti-Pescara, Via Dei Vestini, 31, 66100, Chieti, Italy.
Fanì KonstantinidouDepartment of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Via dei Vestini, 31, 66100, Chieti, Italy.
Guya Diletta MarconiDepartment of Innovative Technologies in Medicine & Dentistry, University "G. d'Annunzio" Chieti-Pescara, Via Dei Vestini, 31, 66100, Chieti, Italy.
Antonella MazzoneDepartment of Innovative Technologies in Medicine & Dentistry, University "G. d'Annunzio" Chieti-Pescara, Via Dei Vestini, 31, 66100, Chieti, Italy.
Valentina GattaDepartment of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Via dei Vestini, 31, 66100, Chieti, Italy.
Liborio StuppiaDepartment of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Via dei Vestini, 31, 66100, Chieti, Italy.
Marcos Fernando Xisto Braga CavalcantiUniversidade Nove de Julho, Av. Professor Luiz Ignácio Anhaia Mello, 1363, São Paulo-SP, 03155-000, Brasil.
Emanuela MazzonDepartment of Innovative Technologies in Medicine & Dentistry, University "G. d'Annunzio" Chieti-Pescara, Via Dei Vestini, 31, 66100, Chieti, Italy.
Roberta SzymanskiDepartment of Innovative Technologies in Medicine & Dentistry, University "G. d'Annunzio" Chieti-Pescara, Via Dei Vestini, 31, 66100, Chieti, Italy.
Oriana TrubianiDepartment of Innovative Technologies in Medicine & Dentistry, University "G. d'Annunzio" Chieti-Pescara, Via Dei Vestini, 31, 66100, Chieti, Italy. oriana.trubiani@unich.it.
Francesca DiomedeDepartment of Innovative Technologies in Medicine & Dentistry, University "G. d'Annunzio" Chieti-Pescara, Via Dei Vestini, 31, 66100, Chieti, Italy. francesca.diomede@unich.it.
Jacopo PizzicannellaDepartment of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Via dei Vestini, 31, 66100, Chieti, Italy.

Funding

Ministero dell'Università e della Ricerca ECS00000041Ministero dell'Università e della Ricerca P2022M3KKC
6 · The paper itself

Abstract

Daily, polluting substances are scattered in the atmosphere by industries, which can potentially damage human health. Particular concern derives from those substances defined as endocrine disruptors Chemicals, which mimic the actions of natural hormones and cause adverse effects on the normal functioning of developmental, metabolic, and reproductive processes like embryonic development, gonad formation, sexual differentiation, and growth, that may lead to the loss of homeostasis. Moreover, perinatal exposure to substances with estrogenic activity may be able to cross the placenta and produce long-lasting consequences in the fetus. Among the potentially contaminating substances involved in endocrine disruption, it is necessary to highlight Bisphenol A (BPA) due to its adverse effects on human health. We used an in vitro model of human periodontal ligament stem cells (hPDLSCs) differentiated into endothelial cells (e-hPDLSCs) to evaluate the angiogenesis effects of BPA. Our data showed that BPA (10 μM) presented a high expression of angiogenesis markers, such as PECAM-1, VEGF, VEGFR, and vWF in hPDLSCs in e-hPDLSCs. The epigenetic mechanism explains these adverse effects caused by BPA, as the vesicles obtained from BPA-treated e-hPDLSCs presented a lower expression of the miRNAs correlated with the angiogenic genes analyzed than the vesicles obtained from untreated e-hPDLSCs.

Indexed as

Benzhydryl CompoundsEndothelial CellsEnvironmental PollutantsExtracellular VesiclesMicroRNAsPhenolsBisphenol A CompoundsCell DifferentiationCells, CulturedEndocrine DisruptorsHumansStem CellsBenzhydryl Compoundsbisphenol ABisphenol A CompoundsEndocrine DisruptorsEnvironmental PollutantsMicroRNAsPhenolsAngiogenesisBisphenol AEndocrine disruptorsHuman periodontal ligament stem cells

Identifiers

PMID41249267
PMCPMC12623730

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.