Evidence map›Paper›PMID 33824379›Full record

ArticleScientific reports2021

Plasma microrna expression profile for reduced ejection fraction in dilated cardiomyopathy.

Maria Calderon-Dominguez, Thalía Belmonte, Maribel Quezada-Feijoo, Mónica Ramos, Juan Calderon-Dominguez, Oscar Campuzano, Alipio Mangas, Rocio Toro

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
  7. miRNAs in Heart Development and Disease.International journal of molecular sciences · 2024
    Review
  8. Posttranscriptional Regulation by Proteins and Noncoding RNAs.Advances in experimental medicine and biology · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. 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

8 authors at 5 institutions in 1 country.

Maria Calderon-DominguezBiomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Av/Ana de Viya 21, 11009, Cadiz, Spain. mariacalderond@gmail.com.
Thalía BelmonteBiomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Av/Ana de Viya 21, 11009, Cadiz, Spain.
Maribel Quezada-FeijooCardiology Department, Cruz Roja Hospital, Madrid, Spain.
Mónica RamosCardiology Department, Cruz Roja Hospital, Madrid, Spain.
Juan Calderon-DominguezBiomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Av/Ana de Viya 21, 11009, Cadiz, Spain.
Oscar CampuzanoCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Alipio MangasBiomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Av/Ana de Viya 21, 11009, Cadiz, Spain.
Rocio ToroBiomedical Research and Innovation Institute of Cadiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Av/Ana de Viya 21, 11009, Cadiz, Spain. rocio.toro@uca.es.
Biomedical Research and Innovation Institute of Cadiz · ESUniversidad Alfonso X el Sabio · ESCentro de Investigación Biomédica en Red · ESHospital Universitario Puerta del Mar · ESUniversidad de Cádiz · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The left ventricular (LV) ejection fraction (EF) is key to prognosis in dilated cardiomyopathy (DCM). Circulating microRNAs have emerged as reliable biomarkers for heart diseases, included DCM. Clinicians need improved tools for greater clarification of DCM EF categorization, to identify high-risk patients. Thus, we investigated whether microRNA profiles can categorize DCM patients based on their EF. 179-differentially expressed circulating microRNAs were screened in two groups: (1) non-idiopathic DCM; (2) idiopathic DCM. Then, 26 microRNAs were identified and validated in the plasma of ischemic-DCM (n = 60), idiopathic-DCM (n = 55) and healthy individuals (n = 44). We identified fourteen microRNAs associated with echocardiographic variables that differentiated idiopathic DCM according to the EF degree. A predictive model of a three-microRNA (miR-130b-3p, miR-150-5p and miR-210-3p) combined with clinical variables (left bundle branch block, left ventricle end-systolic dimension, lower systolic blood pressure and smoking habit) was obtained for idiopathic DCM with a severely reduced-EF. The receiver operating characteristic curve analysis supported the discriminative potential of the diagnosis. Bioinformatics analysis revealed that miR-150-5p and miR-210-3p target genes might interact with each other with a high connectivity degree. In conclusion, our results revealed a three-microRNA signature combined with clinical variables that highly discriminate idiopathic DCM categorization. This is a potential novel prognostic biomarker with high clinical value.

Indexed as

AgedBiomarkersCardiomyopathy, DilatedCirculating MicroRNAFemaleGene ExpressionGene Expression ProfilingGene Expression RegulationHeart VentriclesHumansMaleMicroRNAsMiddle AgedPlasmaPrognosisROC CurveBiomarkersCirculating MicroRNAMicroRNAs

Identifiers

PMID33824379
PMCPMC8024336
OpenAlexW3143580711

What Socratic holds

Textmetadata
LicenceCC BY
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.