Metabolic Cardiomyopathy

Cardiovascular disease is the leading cause of death worldwide. Advanced cardiovascular imaging using Magnetic Resonance Imaging (MRI) has proven to be effective in providing gold standard myocardial tissue characterization. Moreover, the intrinsic advantage of MRI's lack of exposure to ionizing radiation is particularly beneficial. At the same time, blood work can be very useful in early detection of certain cardiomyopathy, such as amyloid. However, there is a lack of agreement of on which markers are the most sensitive. This multi-study will allow us the unique opportunity to form a more comprehensive understanding for various cardiovascular diseases. Our team has developed novel cardiac MRI techniques that leverages endogenous tissue properties to reveal a milieu of deep tissue phenotypes including myocardial inflammation, fibrosis, metabolism, and microstructural defects. Among these phenotypes, myocardial microstructure has proven to be most sensitive to early myocardial tissue damage and is predictive of myocardial regeneration. In this study, the investigators aim to further study the importance of cardiac microstructure revealed by MRI in patient and healthy population and compare this novel technology with conventional clinical biomarkers.

Cardiovascular disease is the leading cause of death worldwide. Advanced cardiovascular imaging using Magnetic Resonance Imaging (MRI) has proven to be effective in providing gold standard myocardial tissue characterization. Moreover, the intrinsic advantage of MRI's lack of exposure to ionizing radiation is particularly beneficial. At the same time, blood work can be very useful in early detection of certain cardiomyopathy, such as amyloid. However, there is a lack of agreement of on which markers are the most sensitive. This multi-study will allow the unique opportunity to form a more comprehensive understanding for various cardiovascular diseases. The study team has developed novel cardiac MRI techniques that leverages endogenous tissue properties to reveal a milieu of deep tissue phenotypes including myocardial inflammation, fibrosis, metabolism, and microstructural defects. Among these phenotypes, myocardial microstructure has proven to be most sensitive to early myocardial tissue damage and is predictive of myocardial regeneration. In this study, the investigators aim to further study the importance of cardiac microstructure revealed by MRI in patient and healthy population and compare this novel technology with conventional clinical biomarkers.

This study aims to further develop an imaging-guided cohort of rare cardiomyopathies based on the existing database. The investigators will standardize the construction of a cohort that integrates a clinical data repository, serum biobank, myocardial tissue bank, and imaging database. In the current cohort, the investigators will systematically screen for biomarkers indicative of pathological changes in challenging cardiomyopathies. Multidimensional data will be integrated to establish and optimize a heart failure risk assessment model, which will then be validated in a prospective cohort. The effectiveness of the model in assessing different risk groups will be evaluated, with the goal of achieving precise prevention of heart failure from the source.