Plasma hsa-miR-22-3p Might Serve as an Early Predictor of Ventricular Function Recovery after ST-Elevation Acute Myocardial Infarction

• Published in: Biomedicines Vol. 11; no. 8; p. 2289
• Main Authors: Maries, Liana, Moatar, Alexandra Ioana, Chis, Aimee Rodica, Marian, Catalin, Luca, Constantin Tudor, Sirbu, Ioan-Ovidiu, Gaiță, Dan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2023; MDPI
• Subjects: acute myocardial infarction; Biomarkers; Cardiovascular disease; Clopidogrel; Congestive heart failure; Coronary vessels; Diabetes mellitus; Ejection fraction; Erythrocytes; Ethylenediaminetetraacetic acid; Health savings accounts; Heart attack; Heart attacks; Heart failure; Hematocrit; Hospitals; Ischemia; left ventricular remodeling; MicroRNA; MicroRNAs; miR-22; miRNA; Mortality; Myocardial infarction; Patients; Plasma; Plasma levels; Polymerase chain reaction; Ticagrelor; Tomography; Troponin; Vein & artery diseases; Ventricle; Romania; United States > US
• ISSN: 2227-9059; 2227-9059
• DOI: 10.3390/biomedicines11082289

Left ventricle remodeling (LVR) after acute myocardial infarction (aMI) leads to impairment of both systolic and diastolic function, a major contributor to heart failure (HF). Despite extensive research, predicting post-aMI LVR and HF is still a challenge. Several circulant microRNAs have been proposed as LVR predictors; however, their clinical value is controversial. Here, we used real-time quantitative polymerase chain reaction (qRT-PCR) to quantify hsa-miR-22-3p (miR-22) plasma levels on the first day of hospital admission of ST-elevation aMI (STEMI) patients. We analyzed miR-22 correlation to the patients’ clinical and paraclinical variables and evaluated its ability to discriminate between post-aMI LVR and non-LVR. We show that miR-22 is an excellent aMI discriminator and can distinguish between LVR and non-LVR patients. The discriminative performance of miR-22 significantly improves the predictive power of a multiple logistic regression model based on four continuous variables (baseline ejection fraction and end-diastolic volume, CK-MB, and troponin). Furthermore, we found that diabetes mellitus, hematocrit level, and the number of erythrocytes significantly influence its levels. These data suggest that miR-22 might be used as a predictor of ventricular function recovery in STEMI patients.