Gene expression analysis of ischemic and nonischemic cardiomyopathy: shared and distinct genes in the development of heart failure
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Michelle M Kittleson1, Khalid M Minhas, Rafael A Irizarry
1Division of Cardiology, Department of Medicine, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Insights
This study reveals distinct gene expression patterns in nonischemic (NICM) and ischemic (ICM) cardiomyopathy, offering new insights into heart failure causes and potential targeted therapies.
Area of Science:
- Cardiovascular Biology
- Molecular Genetics
- Genomics
Background:
- Cardiomyopathy pathogenesis involves diverse triggers but converges on ventricular dysfunction.
- Understanding shared and distinct molecular pathways in different cardiomyopathy etiologies is crucial.
Purpose of the Study:
- To compare gene expression profiles of nonischemic cardiomyopathy (NICM) and ischemic cardiomyopathy (ICM) against nonfailing (NF) hearts.
- To identify shared and unique differentially expressed genes between NICM and ICM.
- To explore potential therapeutic targets based on distinct gene expression patterns.
Main Methods:
- Utilized Affymetrix U133A GeneChips for transcriptome analysis.
- Employed significance analysis of microarrays (SAM) and nearest shrunken centroids.
- Compared gene expression data from 21 NICM, 10 ICM, and 6 NF heart samples.
Main Results:
- Identified 257 differentially expressed genes in NICM and 72 in ICM compared to NF hearts.
- Found only 41 shared genes, primarily in cell growth and signal transduction.
- Observed unique genes in NICM related to metabolism and in ICM related to catalytic activity, including upregulation of ACE2 in NICM.
Conclusions:
- NICM and ICM exhibit distinct molecular signatures, suggesting etiology-specific pathogenesis.
- Differential expression of genes like ACE2 may indicate varied therapeutic responses.
- Transcriptome analysis provides insights for developing pathogenesis-based therapies for heart failure.
Abstract:
Cardiomyopathy can be initiated by many factors, but the pathways from unique inciting mechanisms to the common end point of ventricular dilation and reduced cardiac output are unclear. We previously described a microarray-based prediction algorithm differentiating nonischemic (NICM) from ischemic cardiomyopathy (ICM) using nearest shrunken centroids. Accordingly, we tested the hypothesis that NICM and ICM would have both shared and distinct differentially expressed genes relative to normal hearts and compared gene expression of 21 NICM and 10 ICM samples with that of 6 nonfailing (NF) hearts using Affymetrix U133A GeneChips and significance analysis of microarrays. Compared with NF, 257 genes were differentially expressed in NICM and 72 genes in ICM. Only 41 genes were shared between the two comparisons, mainly involved in cell growth and signal transduction. Those uniquely expressed in NICM were frequently involved in metabolism, and those in ICM more often had catalytic activity. Novel genes included angiotensin-converting enzyme-2 (ACE2), which was upregulated in NICM but not ICM, suggesting that ACE2 may offer differential therapeutic efficacy in NICM and ICM. In addition, a tumor necrosis factor receptor was downregulated in both NICM and ICM, demonstrating the different signaling pathways involved in heart failure pathophysiology. These results offer novel insight into unique disease-specific gene expression that exists between end-stage cardiomyopathy of different etiologies. This analysis demonstrates that transcriptome analysis offers insight into pathogenesis-based therapies in heart failure management and complements studies using expression-based profiling to diagnose heart failure of different etiologies.
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