Full - transcriptome analysis of miRNA expression in mononuclear cells in patients with acute decompensation of chronic heart failure of various etiologies

Abstract

It is known that micro RNAs are an important regulatory element in the pathogenesis of many diseases, including cardiovascular diseases. Different levels of expression of these molecules in various pathologies makes miRNA a potential diagnostic and prognostic biomarker. Aim. Analysis of miRNA expression levels in mononuclear blood cells (MBC) of patients with acute decompensation f chronic heart failure (CHF) of various etiologies and evaluation of the possibility of their use as a biological marker. Materials and methods. 7 male patients with acute decompensation of CHF with a reduced ejection fraction (EF), NYHA functional class II-IV (FC) according to NYHA [mean (M) EF 29.2%, standard deviation (SD) 13.27%] in age 38 to 65 years old [median (Me) 58 years]. In 3 patients, heart failure developed as a result of dilated cardiomyopathy (DCMP), in 4 patients - against the background of post - infarction cardiosclerosis of the ischemic nature [group of patients with coronary heart disease (CHD)]. The control group - 5 age - matched (from 41 to 57 years old, Me 49 years old) healthy male volunteers. A complete transcript analysis of miRNA expression in MNCs was performed for all patients and healthy volunteers. Results. Differentially expressed miRNAs were determined in patients with CHF (regardless of etiology) compared with healthy individuals: miR-182, miR-144, miR-183, miR-486-5p, miR-143 (log2FC >1, FDR p - value

Role of miR-182 in cardiovascular and cerebrovascular diseases

“…These signs and symptoms sum up to an unspecific clinical picture; thus it is urgent to explore invasive and non-invasive diagnostic tools to obtain accurate diagnosis, treatment and prognosis ( Tanai and Frantz, 2015 ). miR-182 was shown to be upregulated in the sera of HF patients (stable, acute decompensated), and which may be a potential prognostic marker by ROC analysis and Cox regression analysis ( Cakmak et al, 2015 ) ( Zhirov et al, 2019 ). miR-182 was found to be inversely correlated with left ventricular mass index in symptomatic HF patients with systolic dysfunction ( Ikitimur et al, 2015 ).…”