MiRNAs as biomarkers of myocardial infarction: a meta-analysis.

Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. State Key Laboratory for Medical Genomics, Shanghai Institute of Hematology, Rui-Jin Hospital affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai, China. Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. Department of Cardiovascular Medicine, The Central Hospital of Wuhan, Wuhan, China. Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China ; Department of Cardiovascular Surgery, The Central Hospital of Wuhan, Wuhan, China.

PloS one. 2014;(2):e88566

Abstract

BACKGROUND Recent studies have demonstrated that acute myocardial infarction induces a distinctive miRNA signature, suggesting that miRNAs may serve as diagnostic markers. Although many studies have investigated the use of miRNAs in the detection of cardiac injury, some had small sample sizes (<100 patients) or reported different results for the same miRNA. Here, the role of circulating miRNAs for use as biomarkers of myocardial infarction is summarized and analyzed. METHODS AND RESULTS Medline, SCI, Embase, and Cochrane databases were searched up to January 2013 for studies that evaluated associations between miRNAs and myocardial infarction. Relevant publications were identified by searching for combinations of "myocardial infarction," "miRNAs," and their synonyms. Methodological quality was scored using a standardized list of criteria, and diagnostic performance was assessed using estimates of test sensitivity and specificity. These values were summarized using summary receiver-operating characteristic curves. Nineteen studies met the inclusion criteria: 15 studies reported sensitivity, specificity, and AUC, but 4 studies did not. Total miRNAs: sensitivity: 0.78 (95%CI: 0.77-0.80; P = 0.0000); specificity: 0.82 (95%CI: 0.80-0.83; P = 0.0000). miR-499: sensitivity: 0.88 (95%CI:0.86-0.90; P = 0.0000); specificity: 0.87 (95%CI:0.84-0.90; P = 0.0000). miR-1: sensitivity: 0.63 (95%CI:0.59-0.66; P = 0.0000); specificity: 0.76 (95%CI:0.71-0.80; P = 0.0000). miR-133a: sensitivity: 0.89 (95%CI:0.83-0.94; P = 0.0047); specificity: 0.87 (95%CI:0.79-0.92; P = 0.0262). miR-208b: sensitivity: 0.78 (95%CI:0.76-0.81; P = 0.0581); specificity: 0.88 (95%CI:0.84-0.91; P = 0.0000). The correlation between miRNAs and other diagnostic biomarkers of myocardial infarction was obvious. CONCLUSION MiRNAs, especially miR-499 and miR-133a, may be suitable for use as diagnostic biomarkers of myocardial infarction.

Methodological quality

Publication Type : Meta-Analysis

Metadata

MeSH terms : Biomarkers ; MicroRNAs