P6431Association of circulating miR-765, miR-93-5p and miR-433-3p with obstructive coronary heart disease evaluated by cardiac computed tomography

Abstract

Abstract Background Although advances in diagnosis, treatment and prognosis, coronary heart disease (CHD) is still the most prevalent cause of mortality and morbidity worldwide. Thus, there is still the need to identify both novel diagnostic and prognostic biomarkers to improve the clinical decision-making and help to stratify patients for early preventive treatment. Epigenetic-sensitive mechanisms may be related both to pathogenesis and prognosis of CHD. Among the epigenetic hallmarks, microRNAs (miRNAs), acting as flexible modulators of gene expression, could represent attractive candidate biomarkers useful in clinical practice. Purpose We prospectively investigated the expression pattern of circulating miRNAs in patients undergoing Cardiac Computed Tomography (CCT) for suspected CHD (n=95) with the aim to integrate molecular findings with morphological and clinical parameters derived by CCT. Methods CCT was performed with a third-generation dual source multidetector computed tomography scanner. Peripheral venous blood samples were collected into EDTA after a 12 h fasting in the same day of CCT, before imaging execution and the levels of 42 selected plasmatic miRNAs were analyzed by qRT-PCR. Results Let-7c-5p, miR-765, miR-483-5p, miR-31-5p and miR-206 were upregulated in CHD patients (n=66) vs healthy subjects HS (n=29) as well as let-7c-5p, miR-765, miR- 483-5p showed higher expression in obstructive CHD (n=36) compared to no obstructive CHD patients (n=66). In addition, miR-93-5p and miR-433-3p showed an upregulation in patients with critical coronary stenosis. Multivariate regression analysis demonstrated that miR-765, miR-31-5p and miR-206 were independently associated with CHD also in combination with Framingham risk score. Relevantly, miR-765, miR-93-5p and miR-433-3p were obstructive CHD predictors. ROC curve analysis also revealed a good performance for miR-765, miR-93-5p and miR-433-3p on predicting CHD severity. Circulating microRNA expression Conclusions Our study represents a combined epigenetic/imaging approach useful to support the diagnosis and prediction of CHD. Acknowledgement/Funding Italian Ministry of Health grants: “Giovani Ricercatori 2011-12” (project code GR-2011-02349436) and “Ricerca Corrente 2018”