Evidence map›Paper›PMID 27665403›Full record

ArticleInternational journal of cardiology2016

miRNA-93-5p and other miRNAs as predictors of coronary artery disease and STEMI.

John F O Sullivan, Antoinette Neylon, Catherine McGorrian, Gavin J Blake

Abstract read
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Article in International journal of cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

36 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
  2. Review
  3. Observational
  4. Article
  5. Observational
  6. New Biomarkers for Cardiovascular Disease.Texas Heart Institute journal · 2023
    Review
  7. Article
  8. Article
  9. MiRNA-93: a novel signature in human disorders and drug resistance.Cell communication and signaling : CCS · 2023
    Review
  10. Article
  11. Review
  12. Article
  13. Genomic Variants and Multilevel Regulation ofJournal of cardiovascular development and disease · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Role of MicroRNAs in the Pathogenesis of Coronary Artery Disease.Frontiers in cardiovascular medicine · 2021
    Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 3 countries.

John F O SullivanCardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.; Heart Research Institute, Newtown, NSW 2042, Australia.; Charles Perkins Centre, Johns Hopkins Drive, The University of Sydney, NSW 2006, Australia; Department of Cardiology, Mater Misericordiae University Hospital, Eccles Street, Dublin 7, Ireland.. Electronic address: john.jos.osullivan@gmail.com.
Antoinette NeylonDepartment of Cardiology, Mater Misericordiae University Hospital, Eccles Street, Dublin 7, Ireland.
Catherine McGorrianDepartment of Cardiology, Mater Misericordiae University Hospital, Eccles Street, Dublin 7, Ireland.; A/Prof, University College Dublin, Dublin, Ireland.
Gavin J BlakeDepartment of Cardiology, Mater Misericordiae University Hospital, Eccles Street, Dublin 7, Ireland.; A/Prof, University College Dublin, Dublin, Ireland.
Mater Misericordiae University Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs), small non-coding RNAs, have been implicated as regulators of all mediators of atherosclerosis, and some reports have suggested increased levels in coronary artery disease (CAD) and acute myocardial infarction (AMI). However, the potential of miRNAs as biomarkers or predictors of disease remains to be established.

methodsWe designed a study comprising 150 patients (50 Control, 50 Stable CAD, and 50 ST Elevation Myocardial Infarction (STEMI)), and measured plasma miRNAs in each. We then determined the ability of differential miRNAs, adjusting for Framingham Heart Study (FHS) risk factors, to discriminate between CAD vs Control, and STEMI vs Control.

resultsThree miRNAs (miR15a-5p, miR16-5p, and miR93-5p) were significantly increased in Stable CAD vs Control groups and one (miR146a-5p) was significantly decreased in Stable CAD vs Control. One miRNA - miR499a-5p - was significantly increased in the STEMI group compared to Controls. After adjustment for FHS risk factors, miR93-5p levels remained an independent predictor of the presence of CAD (Odds Ratio [OR]=8.76, P=0.002). All 4 miRNAs improved discriminatory power for CAD over FHS alone in ROC analysis. Similarly, after adjustment for risk factors miR499-5p remained an independent predictor of STEMI (OR=3.03, P=0.001) and improved discriminatory power for STEMI in ROC analyses.

conclusionWe identified 4 miRNAs that were differentially expressed among stable CAD and control patients, and 1 miRNA that was elevated in STEMI patients vs controls. MiR93-5p was the strongest predictor of CAD after adjustment for traditional risk factors, suggesting potential diagnostic utility.

Indexed as

AgedBiomarkersCoronary AngiographyCoronary Artery DiseaseFemaleHumansMaleMicroRNAsMiddle AgedPredictive Value of TestsST Elevation Myocardial InfarctionBiomarkersMicroRNAsMIRN93 microRNA, humanMyocardial infarctionPlasma microRNAStable coronary artery disease

Identifiers

PMID27665403
OpenAlexW2520240665

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.