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Atherosclerosis. 2017 Jun;261:19-25. doi: 10.1016/j.atherosclerosis.2017.03.041. Epub 2017 Mar 30.

Whole blood sequencing reveals circulating microRNA associations with high-risk traits in non-ST-segment elevation acute coronary syndrome.

Author information

1
Duke Clinical Research Institute, Durham, NC, United States.
2
Duke Molecular Physiology Institute, Durham, NC, United States.
3
St. Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
4
Canadian VIGOUR Centre and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
5
Green Lane Cardiovascular Service, Auckland City Hospital, Auckland, New Zealand.
6
Department of Cardiovascular Medicine, Duke University Medical Center, Durham, NC, United States.
7
Duke Molecular Physiology Institute, Durham, NC, United States. Electronic address: svati.shah@dm.duke.edu.
8
Division of Cardiology, Department of Medicine, National University of Singapore, Singapore. Electronic address: mark_chan@nuhs.edu.sg.

Abstract

BACKGROUND AND AIMS:

Although circulating microRNA (miRNAs) have emerged as biomarkers predicting mortality in acute coronary syndrome (ACS), more data are needed to understand these mechanisms. Mapping miRNAs to high-risk traits may identify miRNAs involved in pathways conferring risk for poor outcome in ACS. We aim to investigate the relationship between circulating miRNAs and high-risk traits in non-ST-segment elevation acute coronary syndrome (NSTE-ACS).

METHODS:

Whole-genome miRNA sequencing was performed on RNA extracted from whole blood of 199 patients with NSTE-ACS. Generalized linear models were used to test associations of miRNAs and 13 high-risk clinical traits, including the Global Registry of Acute Coronary Events (GRACE) score, a widely validated risk score for mortality in NSTE-ACS.

RESULTS:

There were 205 nominally significant miRNA-risk factor associations (p < 0.05) observed. Significant associations occurred most frequently with chronic heart failure (HF) (43 miRs), GRACE risk score (30 miRs), and renal function (32 miRs). In hierarchical cluster analysis, chronic HF and GRACE risk score clustered most tightly together, sharing 14 miRNAs with matching fold-change direction. Controlling for a false discovery rate of 5%, chronic HF was significantly associated with lower circulating levels of miR-3135b (p < 0.0006), miR-126-5p (p < 0.0001), miR-142-5p (p = 0.0004) and miR-144-5p (p = 0.0007), while increasing GRACE risk score inversely correlated with levels of miR-3135b (p < 0.0001) and positively correlated with levels of miR-28-3p (p = 0.0002).

CONCLUSIONS:

Circulating miRs clustered around two powerful traits for mortality risk in NSTE-ACS. MiR-3135b, which was under-expressed in chronic HF and increasing GRACE risk score, and miR-28-3p, which has no known association with cardiovascular disease, warrant further investigation.

KEYWORDS:

High-risk traits; MicroRNA; Non-STE acute coronary syndrome

[Indexed for MEDLINE]

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