Evidence map›Paper›PMID 33866193›Full record

ArticleEBioMedicine2021

Differential miRNAs in acute spontaneous coronary artery dissection: Pathophysiological insights from a potential biomarker.

Marta Lozano-Prieto, David Adlam, Marcos García-Guimaraes, Ancor Sanz-García, Paula Vera-Tomé, Fernando Rivero, Javier Cuesta, Teresa Bastante, Anna A Baranowska-Clarke, Alicia Vara and 7 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 3 countries.

Marta Lozano-PrietoDepartment of Immunology, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
David AdlamDepartment of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
Marcos García-GuimaraesDepartment of Cardiology, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Madrid, Spain; Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
Ancor Sanz-GarcíaData Analysis Unit, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Madrid, Spain.
Paula Vera-ToméDepartment of Immunology, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Fernando RiveroDepartment of Cardiology, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Madrid, Spain.
Javier CuestaDepartment of Cardiology, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Madrid, Spain.
Teresa BastanteDepartment of Cardiology, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Madrid, Spain.
Anna A Baranowska-ClarkeDepartment of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
Alicia VaraDepartment of Immunology, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Enrique Martin-GayoDepartment of Immunology, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Madrid, Spain; Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.
Miguel Vicente-ManzanaresInstituto de Biología Molecular y Celular del Cáncer USAL-CSIC, 37007, Salamanca, Spain.
Pilar MartínVascular Pathophysiology Area, Centro Nacional de Investigaciones Cardiovasculares,; CIBER de Enfermedades Cardiovasculares, Spain.
Nilesh J SamaniDepartment of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
Francisco Sánchez-MadridDepartment of Immunology, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Madrid, Spain; Vascular Pathophysiology Area, Centro Nacional de Investigaciones Cardiovasculares,; CIBER de Enfermedades Cardiovasculares, Spain.
Fernando AlfonsoDepartment of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK; CIBER de Enfermedades Cardiovasculares, Spain.
Hortensia de la FuenteDepartment of Immunology, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Madrid, Spain; CIBER de Enfermedades Cardiovasculares, Spain. Electronic address: hortensia.fuente@salud.madrid.org.
Hospital Universitario de La Princesa · ESCentro de Investigación en Red en Enfermedades Cardiovasculares · ESUniversity of Leicester · GBCentro de Investigación del Cáncer · ESGlenfield Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpontaneous Coronary Artery Dissection (SCAD) is an important cause of acute coronary syndromes, particularly in young to middle-aged women. Differentiating acute SCAD from coronary atherothrombosis remains a major clinical challenge.

methodsA case-control study was used to explore the usefulness of circulating miRNAs to discriminate both clinical entities. The profile of miRNAs was evaluated using an unbiased human RT-PCR platform and confirmed using individual primers. miRNAs were evaluated in plasma samples from acute SCAD and atherothrombotic acute myocardial infarction (AT-AMI) from two independent cohorts; discovery cohort (SCAD n = 15, AT-AMI n = 15), and validation cohort (SCAD n = 11, AT-AMI n = 41) with 9 healthy control subjects. Plasma levels of IL-8, TGFB1, TGBR1, Endothelin-1 and MMP2 were analysed by ELISA assays.

findingsFrom 15 differentially expressed miRNAs detected in cohort 1, we confirmed in cohort 2 the differential expression of 4 miRNAs: miR-let-7f-5p, miR-146a-5p, miR-151a-3p and miR-223-5p, whose expression was higher in SCAD compared to AT-AMI. The combined expression of these 4 miRNAs showed the best predictive value to distinguish between both entities (AUC: 0.879, 95% CI 0.72-1.0) compared to individual miRNAs. Functional profiling of target genes identified an association with blood vessel biology, TGF-beta pathway and cytoskeletal traction force. ELISA assays showed high plasma levels of IL-8, TGFB1, TGFBR1, Endothelin-1 and MMP2 in SCAD patients compared to AT-AMI.

interpretationWe present a novel signature of plasma miRNAs in patients with SCAD. miR-let-7f-5p, miR-146a-5p, miR-151a-3p and miR-223-5p discriminate SCAD from AT-AMI patients and also shed light on the pathological mechanisms underlying this condition.

fundingSpanish Ministry of Economy and Competitiveness (MINECO): Plan Nacional de Salud SAF2017-82886-R, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV). Fundación BBVA a equipos de Investigación Científica 2018 and from Caixa Banking Foundation under the project code HR17-00016 to F.S.M. Instituto de Salud Carlos III (AES 2019): PI19/00565 to F.R, PI19/00545 to P.M. CAM (S2017/BMD-3671-INFLAMUNE-CM) from Comunidad de Madrid to FSM and PM. The UK SCAD study was supported by BeatSCAD, the British Heart Foundation (BHF) PG/13/96/30608 the NIHR rare disease translational collaboration and the Leicester NIHR Biomedical Research Centre.

Indexed as

BiomarkersGene Expression RegulationAdultCase-Control StudiesCirculating MicroRNACoronary Vessel AnomaliesDiagnosis, DifferentialDisease SusceptibilityFemaleHumansMaleMicroRNAsMiddle AgedMyocardial InfarctionRNA InterferenceRNA, MessengerBiomarkersCirculating MicroRNAMicroRNAsRNA, MessengerAcute myocardial infarctionBiomarkermicroRNAsSpontaneous coronary artery dissection

Identifiers

PMID33866193
PMCPMC8079473
OpenAlexW3155980645

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.