Xian Liu1, Zhanwei Fan2, Tianshu Zhao3, Wei Cao4, Lan Zhang1, He Li1, Qing Xie5, Ye Tian6, Baichun Wang7. 1. Department of Cardiology, The Fourth Clinical Hospital of Harbin Medical University, Harbin 150001, Heilongjiang Province, China. 2. Department of Cardiac Surgery, The Fourth Clinical Hospital of Harbin Medical University, Harbin 150001, Heilongjiang Province, China. 3. Department of Neurosurgery, The Fourth Clinical Hospital of Harbin Medical University, Harbin 150001, Heilongjiang Province, China. 4. Department of Cardiology, The Second Clinical Hospital of Harbin Medical University, Harbin 150001, Heilongjiang Province, China. 5. Department of Clinical Laboratory, Beijing Shijiantan Hospital, Capital Medical University, Beijing 100038, China. 6. Department of Cardiology, The First Clinical Hospital of Harbin Medical University, Harbin 150081, Heilongjiang Province, China. Electronic address: drtianye01@yeah.net. 7. Department of Cardiac Surgery, The Fourth Clinical Hospital of Harbin Medical University, Harbin 150001, Heilongjiang Province, China. Electronic address: zhan_jinjin@163.com.
Abstract
BACKGROUND: It has been demonstrated that circulating muscle-enriched miR-1 and the cardiac-specific miR-208 and miR-499 might leak out of the necrotic myocardium and release into the circulation during the early stages of acute myocardial infarction (AMI). This study aims to investigate potential predictive value of the three miRNAs in AMI. METHODS: Plasma samples were taken from 70 AMI patients and 72 healthy controls. The expression levels of target miRNAs were measured by qRT-PCR. Student's t test and χ(2) test were applied to test the significance of the differences between AMI patients and controls. Additionally, a meta-analysis about the prediction accuracy of the three miRNAs in AMI was performed to summarize all the results from available studies. RESULTS: The expression of plasma miR-1, miR-208 and miR-499 were all significantly elevated in AMI patients compared with controls. By receiver operating characteristic (ROC) curve analysis, plasma miR-1, miR-208 and miR-499 were demonstrated to be potential biomarkers for the prediction of AMI with AUC values of 0.81, 0.72, and 0.88, respectively. The meta-analysis consisted of nine studies for miR-1, eight studies for miR-208 and eight studies for miR-499. The summary estimates of miR-1, miR-208 and miR-499 were 0.73, 0.80 and 0.83 for sensitivity, 0.82, 0.95 and 0.90 for specificity, 0.84, 0.89 and 0.91 for AUC, respectively. CONCLUSION: In summary, we confirmed the predictive values of plasma miR-1, miR-208 and miR-499 in AMI. In contrast to miR-1, the cardiac-specific miR-208 and miR-499 were supposed to be more reliable as biomarkers in AMI screening and prediction.
BACKGROUND: It has been demonstrated that circulating muscle-enriched miR-1 and the cardiac-specific miR-208 and miR-499 might leak out of the necrotic myocardium and release into the circulation during the early stages of acute myocardial infarction (AMI). This study aims to investigate potential predictive value of the three miRNAs in AMI. METHODS: Plasma samples were taken from 70 AMI patients and 72 healthy controls. The expression levels of target miRNAs were measured by qRT-PCR. Student's t test and χ(2) test were applied to test the significance of the differences between AMI patients and controls. Additionally, a meta-analysis about the prediction accuracy of the three miRNAs in AMI was performed to summarize all the results from available studies. RESULTS: The expression of plasma miR-1, miR-208 and miR-499 were all significantly elevated in AMI patients compared with controls. By receiver operating characteristic (ROC) curve analysis, plasma miR-1, miR-208 and miR-499 were demonstrated to be potential biomarkers for the prediction of AMI with AUC values of 0.81, 0.72, and 0.88, respectively. The meta-analysis consisted of nine studies for miR-1, eight studies for miR-208 and eight studies for miR-499. The summary estimates of miR-1, miR-208 and miR-499 were 0.73, 0.80 and 0.83 for sensitivity, 0.82, 0.95 and 0.90 for specificity, 0.84, 0.89 and 0.91 for AUC, respectively. CONCLUSION: In summary, we confirmed the predictive values of plasma miR-1, miR-208 and miR-499 in AMI. In contrast to miR-1, the cardiac-specific miR-208 and miR-499 were supposed to be more reliable as biomarkers in AMI screening and prediction.
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