2009 Annual Report
2. Develop and test an interactive program to provide an optimal diet and exercise program for middle-aged and elderly overweight and obese subjects for weight loss and heart disease reduction.
3. Observe the interactions of nutritional factors, especially intake of calories, types of fat, types of carbohydrate, level of physical activity, and different genetic factors on lipoprotein subspecies, obesity, metabolic syndrome, inflammatory markers, and heart disease risk in overweight and obese subjects and subjects with premature cardiovascular disease as compared to age- and gender-matched control subjects within populations.
4. Determine the in vitro and in vivo effects of dietary fatty acids, cholesterol, carbohydrates, hormone levels, hormonal replacement, B vitamins, cholesterol biosynthesis inhibition and cholesteryl ester transfer protein inhibition on lipoprotein metabolism and gene expression, and inflammation in human liver cells (HepG2) and in human subjects under metabolic ward conditions using stable isotopes.
LAB: CARDIOVASCULAR NUTRITION 1. Assess the relationship between biomarkers of nutrient intake and heart health using plasma samples from the Women’s Health Initiative.
2. Characterize the relationship between plasma markers of cholesterol homeostasis, dietary intake and intestinal cholesterol absorption protein genotypes, and heart health using samples from the Framingham Offspring Study.
3. Assess the value of glycemic index (GI) as a component of dietary guidance to promote heart health and decrease the risk of chronic diseases associated with aging.
LAB: CARDIOVASCULAR NUTRITION In the next 5 years the Cardiovascular Nutrition Laboratory will assess the relationship between cardiovascular health and biomarkers of nutrient intake relative to food frequency data using Women’s Health Initiative samples by measuring nutrient intake biomarkers (plasma phospholipid trans fatty acids, eicosapentaenoic acid and docosahexaenoic acid, and phylloquinone and dihydrophylloquinone) and relating these data to cardiovascular health; identifying dietary patterns from food frequency questionnaire data and relating to cardiovascular health; and developing an algorithm using these data that best predicates cardiovascular health; assess the relationship between biomarkers of cholesterol homeostasis and modifiers thereof using plasma samples from the Framingham Offspring Study by measuring plasma cholesterol absorption (sitosterol, campesterol, cholestanol) and biosynthesis (desmosterol, lathosterol, squalene) marker concentrations and relating these data to cardiovascular health as modified by dietary intake and selected genotypes; and evaluate glycemic index (GI) as a component of dietary guidance to decrease chronic diseases risk by determining the reproducibility and variability of GI value determinations in volunteers differing in BMI, age, and gender; assessing the effect of macronutrient amounts and combinations, and fiber on GI and glycemic load (GL) value determinations; and determining the effect of macronutrient composition (carbohydrate, fat, and protein) of a prior meal (“second meal” effect) on GI and GL value determinations.