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Published on: October 23, 2013
Genetic and non-genetic determinants of clinical phenotypes in cardiomyopathy
1Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Insights
Dilated cardiomyopathy (DCM) involves genetic and non-genetic factors, with titin and lamin A/C mutations causing distinct patient phenotypes. Multi-omics data integration offers new avenues for understanding DCM and developing precision cardiology treatments.
Area of Science:
- Cardiology
- Genomics
- Molecular Biology
Background:
- Cardiomyopathy is a significant global health issue, characterized by diverse causes and presentations.
- Dilated cardiomyopathy (DCM) is frequently linked to titin truncating and lamin A/C mutations, which influence patient outcomes and treatment responses.
- Understanding the molecular underpinnings of DCM is crucial for advancing patient care.
Purpose of the Study:
- To explore the multi-omics landscape of dilated cardiomyopathy (DCM).
- To identify key genetic determinants and molecular signatures associated with DCM.
- To investigate the potential for omics-based patient stratification and precision medicine in cardiology.
Main Methods:
- Analysis of genomic, transcriptomic, epigenomic, proteomic, and metabolomic data from DCM patients.
- Integration of multi-omics datasets to uncover inter-omics associations.
- Comparison of molecular profiles between different DCM genotypes and healthy controls.
Main Results:
- Identified titin truncating mutations and lamin A/C mutations as major genomic drivers of DCM with distinct phenotypic consequences.
- Revealed transcriptomic and epigenomic alterations including DNA damage response activation, metabolic reprogramming, and dedifferentiation in DCM.
- Characterized proteomic and metabolomic signatures of the DCM heart and blood, highlighting fatty acid dependency, stress response, immune activation, and microbiota links.
- Demonstrated the utility of multi-omics data integration for patient stratification.
Conclusions:
- Multi-omics data integration provides a comprehensive understanding of DCM etiology and pathogenesis.
- Distinct molecular profiles associated with specific genotypes offer opportunities for personalized treatment strategies.
- Omics-based patient stratification holds promise for advancing precision medicine in cardiology for cardiomyopathy patients.
Abstract:
Cardiomyopathy, a leading cause of death worldwide, is etiologically and phenotypically heterogeneous and is caused by a combination of genetic and non-genetic factors. Major genomic determinants of dilated cardiomyopathy (DCM) are titin truncating mutations and lamin A/C mutations. Patients with these two genotypes show critically different phenotypes, including penetrance, coexistence with a conduction system abnormality, cardiac prognosis, and treatment response. The transcriptomic and epigenomic characteristics of DCM include activation of the DNA damage response, metabolic reprogramming, and dedifferentiation. The proteomic and metabolomic signatures of the DCM heart include a rigorous dependency for free fatty acids, activation of the stress response, and metabolic reprogramming. Proteomic and metabolomic analyses of blood show a distinct immune response and an unexpected link with pathology-specific microbiota in DCM. The direct integration of multi-omics data will not only elucidate inter-omics associations but also enable omics-based patient stratification, which will lead to a deeper understanding of cardiomyopathy and the development of precision medicine in cardiology.
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