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Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
Published on: August 8, 2022
Identification of biomarkers correlated with hypertrophic cardiomyopathy with co-expression analysis
Ran Chen1, Tiantian Ge1, Wanying Jiang1
1Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, P.R. China.
Insights
Hypertrophic cardiomyopathy (HCM) involves immune system genes. Researchers identified nine key genes and two modules significantly associated with HCM, offering potential therapeutic targets for this common genetic heart disease.
Area of Science:
- Cardiovascular Genetics
- Molecular Biology
- Immunology
Background:
- Hypertrophic cardiomyopathy (HCM) is the most prevalent genetic heart condition.
- Identifying biomarkers is crucial for understanding HCM prognosis and developing treatments.
Purpose of the Study:
- To identify key gene modules and candidate biomarkers associated with the clinical prognosis of patients with HCM.
- To explore the role of the immune system in HCM pathogenesis.
Main Methods:
- Weighted Gene Co-expression Network Analysis (WGCNA) was used to construct a co-expression network of hub genes.
- Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed.
- Quantitative real-time polymerase chain reaction (RT-PCR) was used to validate hub gene expression.
Main Results:
- Two gene modules (yellow and blue) and nine hub genes (TYROBP, STAT3, CSF1R, ITGAM, SYK, ITGB2, LILRB2, LYN, HCK) were significantly correlated with HCM.
- Enrichment analyses indicated that differentially expressed genes were primarily associated with immune system processes.
- Validation confirmed increased expression of TYROBP, CSF1R, and SYK in a rat model of HCM.
Conclusions:
- The study identified key molecular players and pathways implicated in HCM.
- The findings highlight a significant role for the immune system in HCM.
- The identified genes and pathways represent potential future therapeutic targets for HCM.
Abstract:
Hypertrophic cardiomyopathy (HCM) is reported to be the most common genetic heart disease. To identify key module and candidate biomarkers correlated with clinical prognosis of patients with HCM, we carried out this study with co-expression analysis. To construct a co-expression network of hub genes correlated with HCM, the Weighted Gene Co-expression Network Analysis (WGCNA) was performed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed by Database for Annotation, Visualization and Integrated Discovery (DAVID). The protein-protein interaction network analysis of central genes was performed to recognize the interactions of central genes. Gene set enrichment analyses were carried out to discover the possible mechanisms involved in the pathways promoted by hub genes. To validate the hub genes, quantitative real-time polymerase chain reaction (RT-PCR) was performed. Based on the results of topological overlap measure based clustering, 2,351 differentially expressed genes (DEGs) were identified. Those genes were included in six different modules. Of these modules, the yellow and the blue modules showed a pivotal correlation with HCM. DEGs were enriched in immune system procedure associated GO terms and KEGG pathways. We identified nine hub genes (TYROBP, STAT3, CSF1R, ITGAM, SYK, ITGB2, LILRB2, LYN, and HCK) affected the immune system significantly. Among the genes we validated with RT-PCR, TYROBP, CSF1R, and SYK showed significant increasing expression levels in model HCM rats. In conclusion, we identified two modules and nine hub genes, which were prominently associated with HCM. We found that immune system may play a crucial role in the HCM. Accordingly, those genes and pathways might become therapeutic targets with clinical usefulness in the future.
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