Evidence map›Paper›PMID 31031831›Full record

ArticleHeart Asia2019

MiR-93-5p is a novel predictor of coronary in-stent restenosis.

John F O'Sullivan, Antoinette Neylon, Eoin F Fahy, Pengyi Yang, Catherine McGorrian, Gavin J Blake

Open access · diamondAbstract read
In one paragraph

Article in Heart Asia, 2019. 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
1.1field-weighted citation impact, top 26% 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, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Increased intracellular miR-142 in adults with Type 1 diabetes.Journal of diabetes and its complications · 2023
    Article
  4. MiRNA-93: a novel signature in human disorders and drug resistance.Cell communication and signaling : CCS · 2023
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. MiR-149 Aggravates Pyroptosis in Myocardial Ischemia-Reperfusion Damage via Silencing FoxO3.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  11. Review
  12. 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

6 authors at 3 institutions in 2 countries.

John F O'Sullivan *Department of Cardiology, Mater Misericordiae University Hospital, Dublin, Ireland.ORCID 0000-0001-8016-5128
Antoinette Neylon *Department of Cardiology, Mater Misericordiae University Hospital, Dublin, Ireland.
Eoin F FahyDepartment of Cardiology, Mater Misericordiae University Hospital, Dublin, Ireland.
Pengyi YangThe University of Sydney - Computational Trans-Regulatory Biology Group, School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia.
Catherine McGorrianDepartment of Cardiology, Mater Misericordiae University Hospital, Dublin, Ireland.
Gavin J BlakeDepartment of Cardiology, Mater Misericordiae University Hospital, Dublin, Ireland.
Mater Misericordiae University Hospital · IEThe University of Sydney · AUUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsMicroRNAs (miRNAs), small non-coding RNAs, have been implicated as regulators of multiple phases of atherothrombosis, and some reports have suggested altered levels in coronary artery in-stent restenosis (ISR). We recently demonstrated that miR-93-5 p was able to discriminate between patients with stable coronary artery disease (CAD) and those with no CAD, after adjusting for traditional risk factors (RFs). Thus, we wanted to determine if circulating miRNAs could predict coronary ISR.

objectiveTo determine if circulating miRNAs have diagnostic capability for determining ISR in a cohort of matched patients with and without ISR. APPROACH AND

resultsTo determine if miRNA plasma levels are elevated in coronary ISR, we conducted a study comprising 78 patients (39 with no ISR and 39 with ISR) and measured plasma miRNAs in each. We then determined the predictive ability of differential miRNAs, adjusting for Framingham Heart Study (FHS) RFs, and stent length and diameter, to discriminate between ISR and no ISR. After correction for multiple testing, two miRNAs-miR425-5p and miR-93-5 p-were differential between patients with ISR and patients without ISR. Only miR-93-5 p remained a strong independent predictor of ISR after correction for FHS RFs (OR 6.30, p=0.008) and FHS RFs plus stent length and diameter (OR 4.80, p=0.02) and improved discriminatory power for ISR over FHS RFs alone in receiver operator characteristic curve analysis.

conclusionThis novel finding that miR-93-5 p independently predicts ISR extends our recent observation that miR-93-5 p predicted CAD after adjustment for traditional CAD RFs. These data suggest further potential diagnostic utility.

Indexed as

coronary stentMicroRNArestenosis

Identifiers

PMID31031831
PMCPMC6454319
OpenAlexW2917673017

What OpenQuestion holds

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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.