2022  1,200
2021  1,540
2020  1,374
2019  1,023
2018  0,932
2017  0,977
2016  0,799
2015  0,662
2014  0,740
2013  0,739
2012  0,637
2011  0,658
2010  0,654
2009  0,570
2008  0,849
2007  0,805
2006  0,330
2005  0,435
2004  0,623
2003  0,567
2002  0,641
2001  0,490
2000  0,477
1999  0,762
1998  0,785
1997  0,507
1996  0,518
1995  0,502
Vol 54(2020) N 6 p. 840-850; DOI 10.1134/S0026893320060023 Full Text

N.M. Baulina1*, I.S. Kiselev1, O.S. Chumakova1, O.O. Favorova1

Hypertrophic Cardiomyopathy as an Oligogenic Disease: Transcriptomic Arguments

1National Medical Research Center for Cardiology, Moscow, 121552 Russia

Received - 2020-07-10; Revised - 2020-07-14; Accepted - 2020-07-14

Hypertrophic cardiomyopathy (HCM) is the most common genetically determined heart pathology and is often accompanied by fatal complications. Today, the traditional view of the monogenic origin of HCM is being replaced by the idea of it as an oligogenic disease, the clinical phenotype of which is determined not only by mutations in the genes encoding sarcomere proteins in cardiomyocytes, but also by the contribution of other genes (other sarcomeric genes, non-sarcomeric protein-coding modifier genes, and regulatory non-coding RNA genes). Transcriptome analysis is an informative approach for elucidating the nature of HCM, which allows one to evaluate the expression of all genes, evaluate the effect of mutations in a gene on its transcript level, and reveal the mechanisms involved in the regulation of gene expression. This review presents an analysis of published data on the spectra of genes whose differential expression has been detected in the myocardium during the development of HCM in humans and model animals. Special attention is paid to the genes of non-coding regulatory RNAs: miRNAs and long non-coding RNAs, which may be involved in the pathogenesis of the disease. We analyzed studies devoted to the investigation of miRNA levels in the blood of HCM patients to explore the available diagnostic and prognostic biomarkers of the disease. The totality of the reviewed data, despite their relative scarcity, indicates the effectiveness of transcriptome profiling in studying the molecular mechanisms of HCM pathogenesis.

hypertrophic cardiomyopathy, monogenic diseases, oligogenic diseases, transcriptome profiling, gene expression, regulatory non-coding RNA, miRNA, long non-coding RNA