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Updated: Jan 25, 2026

A Murine Model of Stent Implantation in the Carotid Artery for the Study of Restenosis
Published on: May 14, 2013
MiR-93-5p is a novel predictor of coronary in-stent restenosis
John F O'Sullivan1,2, Antoinette Neylon1, Eoin F Fahy1
1Department of Cardiology, Mater Misericordiae University Hospital, Dublin, Ireland.
Aims:
MicroRNAs (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.
Objective:
To determine if circulating miRNAs have diagnostic capability for determining ISR in a cohort of matched patients with and without ISR.
Approach And Results:
To 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.
Conclusion:
This 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.
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