Evidence map›Paper›PMID 41079607›Full record

ArticleiScience2025

Multicomponent-based analyses of ACS-patient-derived extracellular vesicles as likely tools for tailored interventional approaches.

Saveria Femminò, Alessandro Sarcinella, Alberto Grosso, Francesca Mensitieri, Ovidio De Filippo, Francesco Bruno, Albino Coglianese, Marta Tapparo, Edoardo Pace, Sharad Kholia and 8 more

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

18 authors.

Saveria FemminòDepartment of Medical Sciences, University of Turin, Turin, Italy.
Alessandro SarcinellaDepartment of Medical Sciences, University of Turin, Turin, Italy.
Alberto GrossoDepartment of Medical Sciences, University of Turin, Turin, Italy.
Francesca MensitieriDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Salerno, Italy.
Ovidio De FilippoDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Italy.
Francesco BrunoDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Italy.
Albino CoglianeseDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Salerno, Italy.
Marta TapparoDepartment of Medical Sciences, University of Turin, Turin, Italy.
Edoardo PaceDepartment of Medical Sciences, University of Turin, Turin, Italy.
Sharad KholiaDepartment of Medical Sciences, University of Turin, Turin, Italy.
Stefania BrunoDepartment of Medical Sciences, University of Turin, Turin, Italy.
Rosa CiulloDepartment of Medical Sciences, University of Turin, Turin, Italy.
Fabrizio BuffoloDepartment of Medical Sciences, University of Turin, Turin, Italy.
Giovanni CamussiDepartment of Medical Sciences, University of Turin, Turin, Italy.
Gaetano Maria De FerrariDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Italy.
Fabrizio Dal PiazDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Salerno, Italy.
Fabrizio D'AscenzoDivision of Cardiology, Department of Medical Sciences, University of Turin, Turin, Italy.
Maria Felice BrizziDepartment of Medical Sciences, University of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable predictive biomarkers to reduce unnecessary coronary angiograms (CAGs) in non-ST-segment elevation myocardial infarction (NSTEMI) and unstable angina (UA) patients displaying high-risk features are still lacking. Here, we show that profiling patient-derived circulating extracellular vesicles (EVs) can not only improve their risk stratification but also reduce unnecessary CAGs. Analysis of EVs and their miR cargo revealed that CD62p+EVs enriched in miR-130a-3p correlated with the absence of non-critical coronary artery disease (CAD). Proteomic analysis identified nine proteins differentially enriched in patients with or without critical-CAD (NO CAD), irrespective of their diagnosis. Multivariate analysis identified miR-130a-3p (odds ratio [OR]:0.35 [0.19-0.67]), phospholipid transfer protein (OR 0.96 [0.94-0.98]), and subunit beta of mitochondrial trifunctional enzyme (OR:0.96 [0.94-0.98]) as predictors of NO CAD. Furthermore, EV-miR-130a-3p enrichment predicted the absence of multivessel disease (OR:0.46 [0.23-0.90]). These findings establish EV profiling as a valuable tool for stratifying and optimizing the clinical management of patients with acute coronary syndrome.

Indexed as

Cardiovascular medicineProteomics

Identifiers

PMID41079607
PMCPMC12513116

What Socratic holds

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LicenceCC BY-NC-ND
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.