10.6084/m9.figshare.11815056.v1 Yong Zhong Yong Zhong Ying-Hao Pei Ying-Hao Pei Jun Wang Jun Wang Jiao Chen Jiao Chen Shi-Sen Jiang Shi-Sen Jiang Jian-Bin Gong Jian-Bin Gong MicroRNA expression profile in myocardial bridging patients Taylor & Francis Group 2020 Eerum microRNA myocardial bridge biomarker diagnosis qRT-PCR 2020-02-06 10:01:29 Journal contribution https://tandf.figshare.com/articles/journal_contribution/MicroRNA_expression_profile_in_myocardial_bridging_patients/11815056 <p><b><i>Background</i>.</b> Myocardial bridging (MB), a common benign coronary anomaly, may bring about some unwanted complications such as angina-like chest pain. The only way of MB detection is coronary arteriography or coronary computed tomographic angiography, which is costly and invasive. This study intended to profile a panel of circulating microRNAs (miRNAs) as potential biomarkers for the diagnosis of MB. <b><i>Methods</i>.</b> Using TaqMan Low-Density Array followed by quantitative reverse transcriptase PCR (qRT-PCR) validation, we analyzed the expression of miRNAs in serum samples from 90 MB patients and 50 non-MB controls. <b><i>Results</i>.</b> The Low-Density Array data showed that 196 miRNAs were differentially expressed in MB patient sera in comparison with controls. After qRT-PCR validation and receiver operating characteristic (ROC) analysis, a list of five miRNAs (miR-29b, miR-151-3p, miR-126, miR-503-3p and miR-645) showed the ability to distinguish MB patients from controls. The area under curve (AUC) values range from 0.722–0.938. <b><i>Conclusions</i>.</b> We have demonstrated that this panel of five serum miRNAs is expected to become potential non-invasive biomarkers for detection of MB.</p>