Co-expression network analysis identified novel potential Signature Genes Associated with human left ventricle cardiomyopathies arises from different etiologies
Abstract Background: Heat disease is worldwide pandemic and brings huge healthcare burden to global society. However, it is still illusive that the whole transcription disorder pattern of cardiomyopathies arises from different etiologies. We applied Weighted Gene Co-Expression Network Analysis (WGCNA) to construct and screen functional gene significantly related to 8 subtypes of cardiomyopathies. Through co-expression and protein-protein interaction (PPI) networks enrichment analysis, the hub genes and key pathways were identified, which highly correlated with pathologic traits. Compared with expression profile of healthy group, potential disease signature genes were validated through another independently investigations of cardiomyopathies via cardiovascular disease bioportal. Results: The novel potential disease signature genes were identified and assembled into three axes that shared among five cardiomyopathies groups, including idiopathic cardiomyopathy, familial cardiomyopathy, post-partum cardiomyopathy, Ischemic cardiomyopathy and viral cardiomyopathy. Four disease signature genes (MDM4, CFLAR, RPS6KB1, PKD1L2) were shared by ischemic and ischemic cardiomyopathy group. Eight signature genes (MAPK1, MAPK11, MAPK14, LMNA, RAC1, PECAM1, XIAP, CREB1) were overlapped by Ischemic Cardiomyopathy with Post. Partum/Familiar/Idiopathic Cardiomyopathy groups. The signature genes (TFAM, RHEB) were common genes among Viral Cardiomyopathy and Post. Partum / Familiar /Idiopathic Cardiomyopathy groups. These some novel signature genes were highlighted as potential biomarkers for cardiomyopathies. The majority disorder functions and pathways enriched in metabolic processes and concentrated on MAPK signaling pathway, protein processing in endoplasmic reticulum, regulation of actin cytoskeleton pathway. Conclusion: It strongly suggests that expression disorder of these signature genes may contribute the cardiac dysregulation and relapse into cardiomyopathies. Taken together, these novel signature genes could be utilized as diagnostic biomarkers or therapy targets and benefit the precise clinical diagnostics with better outcome. In summary, this study will attract great interest of clinical research scientists as well as medical scientists that work on heart diseases.