Key result
Multi-omics integration in cardiomyopathy enables patient stratification and guides precision medicine.
Multi-omics integration offers a pathway to better understand cardiomyopathy phenotypes and develop precision medicine strategies.
Hypothesis-generating for omics stratification in cardiomyopathy; requires prospective validation before clinical adoption.
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.
No takes yet. Share an insight, caveat, or question.
Seitaro Nomura (2018) conducted a review in Cardiomyopathy. Integration of multi-omics data in cardiomyopathy enables omics-based patient stratification and elucidates inter-omics associations to guide precision medicine.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: