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Cardiomyopathies represent the most common clinical and genetic heterogeneous group of diseases that affect the heart function. Though progress has been made to elucidate the process, molecular mechanisms of different classes of cardiomyopathies remain elusive. This paper aims to describe the similarities and differences in molecular features of dilated cardiomyopathy (DCM) and ischemic cardiomyopathy (ICM). We firstly detected the co-expressed modules using the weighted gene co-expression network analysis (WGCNA). Significant modules associated with DCM/ICM were identified by the Pearson correlation coefficient (PCC) between the modules and the phenotype of DCM/ICM. The differentially expressed genes in the modules were selected to perform functional enrichment. The potential transcription factors (TFs) prediction was conducted for transcription regulation of hub genes. Apoptosis and cardiac conduction were perturbed in DCM and ICM, respectively. TFs demonstrated that the biomarkers and the transcription regulations in DCM and ICM were different, which helps make more accurate discrimination between them at molecular levels. In conclusion, comprehensive analyses of the molecular features may advance our understanding of DCM and ICM causes and progression. Thus, this understanding may promote the development of innovative diagnoses and treatments.

The pathogenesis of hypertrophic cardiomyopathy (HCM) is very complicated, particularly regarding the role of circular RNA (circRNA). This research pays special attention to the relationships of the circRNA-mediated network, including RNA-RNA relationships and RNA-RNA binding protein (RNA-RBP) relationships. We use the parameter framework technology proposed in this paper to screen differentially expressed circRNA, messenger RNA (mRNA), and microRNA (miRNA) from the expression profile of samples related to HCM. And 31 pairs of circRNA and mRNA relationship pairs were extracted, combined with the miRNA targeting database; 145 miRNA-mRNA relationship pairs were extracted; 268 circRNA-mRNA-miRNA triads were established through the common mRNA in the 2 types of relationship pairs. Thus, 268 circRNA-miRNA regulatory relationships were deduced and 30 circRNA-RBP relationship pairs were analyzed at the protein level. On this basis, a circRNA-mediated regulatory network corresponding to the two levels of RNA-RNA and RNA-RBP was established. And then the roles of circRNA in HCM were analyzed through circRNA-mRNA, circRNA-miRNA, and circRNA-RBP, and the possible role in disease development was inferred.