Cardiac MR of Subclin CVD: Impact of Age

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DESCRIPTION (Verbatim from the Applicant's Abstract): Coronary heart disease and stroke are leading causes of mortality for men and women in the United States. Our current understanding of the pathogenesis of and the risk factors for cardiovascular disease (CVD) is derived largely from prospective studies of clinically overt disease. Unfortunately, clinical risk factors for CVD defined by these methods fail to predict a large proportion of CVD events, and some subjects at high clinical risk fail to develop overt disease. Subclinical disease precedes clinical events by years/decades but is difficult to quantify. For example, left ventricular hypertrophy (LVH) and aortic atherosclerosis are strong predictors of CVD events, but are difficult to accurately non-invasively quantify, especially among the elderly and overweight subjects (both growing populations in the U.S.). MRI perrnits accurate assessment of cardiac anatomy/function and subclinical aortic atherosclerosis. The underlying hypothesis of this proposal is that subclinical CVD is a precursor to overt CVD, and that MRI measures of subclinical aortic and cardiac anatomic disease are superior for the characterization of risk as compared with current measures of risk factors as well as more conventional imaging (e.g., carotid ultrasound, echo). Longitudinal/time-averaged indexes of all established risk factors for CVD have been collected in the Framingham Heart Study (FHS). These time-averaged indexes are stronger predictors of clinical CVD than single measures. In a Pilot study of 312 FHS Offspring subjects, MRI measures of LV mass were successfully acquired in a larger proportion of subjects than echo, and MR evidence of LVH and subclinical aortic disease correlated more strongly (than echo and carotid ultrasound measures) with these time-averaged indexes. Application of MRI methods in the FHS offers an opportunity to identify subclinical atherosclerosis and LVH in this well-characterized cohort and to relate these data with conventional imaging measures already acquired in this cohort. Importantly, the near-concurrent acquisition of brain MRI/neuropsychologic examination in the same FHS cohort offer the unique contemporaneous opportunity to examine subclinical cerebrovascular disease with MRI indexes of subclinical atherosclerosis. We propose to expand our Pilot study to perform heart and thoracic/abdominal aorta MRI studies in 2400 FHS participants to allow for identification of individual CVD risk factors for subclinical atherosclerosis. These population-based data will extend our knowledge of the distribution and severity of atherosclerosis in adult men and women and their relations to existing echo, carotid ultrasound and brain MRI measures. This study provides the rare opportunity to examine associations of quantitative MRI measures of aortic atherosclerosis and LVH with both cross-sectional and time-averaged measures of individual atherosclerotic risk factors (e.g., blood pressure, cigarette smoking, and cholesterol) and with novel inflammatory markers (e.g., C-reactive protein, MCP-1). Further, because the FHS consists of hundreds of sibships for which a DNA repository has been established, we propose to determine the heritability of MRI indexes of atherosclerosis and LVH, laying the groundwork for future genetic studies.