Nutrigenomics, Lipid Metabolism and Cardiovascular Disease





Jose M. Ordovas

Nutrition and Genomics Laboratory. JM-USDA-HNRCA at Tufts Univ., Boston, USA



Nutrigenomics is an emerging and promising multidisciplinary field that focuses on studying the interactions between nutritional, genetic factors, and health outcomes, using the new technical and conceptual developments derived, in part, from the human genome project. The ultimate goal of nutrigenomics is to elaborate more efficient individual dietary intervention strategies aimed to preventing disease and improving health status. To date, gene-diet interactions have been carried out using the "candidate gene" approach. Our studies using the Framingham Heart study as well as other population and intervention studies have found already significant evidence for interactions between dietary factors, genetic variants and biochemical markers of cardiovascular disease. The traditional approach of recommending low fat, low cholesterol diets for the entire population has been the subject of heated discussion, based on the fact that some populations with relatively high intakes of non-saturated fats have very low rates of cardiovascular diseases and other chronic disorders. Now, we can begin to characterize individuals that may respond better to one type of recommendation or another. Therefore, a low fat, low cholesterol strategy may be especially beneficial in terms of lowering plasma cholesterol levels to those subjects carrying the apoE4 allele at the APOE gene. The levels of HDL are modulated also by dietary, behavioral and genetic factors. We have recently reported that the effect of dietary PUFA intake on HDL-cholesterol concentrations is modulated by a common genetic polymorphism in the promoter region of the APOA1 gene. Thus, subjects carrying the A allele at the -75 G/A polymorphism show an increase on HDL-C concentrations with increased intakes of PUFA; whereas those homozygotes for the more common G allele have the expected lowering on HDL-C levels as the intake of PUFA goes up. We have also found significant interactions between intake of fat and variability at the hepatic lipase locus that could also shed some light to the different ability of certain ethnic groups to adapt to new nutritional environments. At this regard we are carrying gene-diet interactions studies in Singapore, a country inhabited by three ethnic groups (Chinese, Indians and Malays). Our data is being contrasted with those obtained in Framingham in order to gain more understanding about potential gene-diet-ethnicity interactions. This knowledge could pave the way for most successful dietary recommendations based on genetic factors that may help to reduce cardiovascular risk more efficiently than the current universal recommendations.




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