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The quest for cardiovascular health in the genomic era: nutrigenetics and plasma lipoproteins

Published online by Cambridge University Press:  07 March 2007

Jose M. Ordovas
Jose M. Ordovas*
Affiliation:
Nutrition and Genomics Laboratory, JM-USDA-Human Nutrition Research Center on Aging at Tufts University, Boston, MA 02111, USA
*
Corresponding author: Professor J. M. Ordovas, fax +1 617 556 3211, jordov01@tufts.edu
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Abstract

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Nutrigenetics and nutrigenomics are promising multidisciplinary fields that focus on studying the interactions between nutritional factors, genetic factors and health outcomes. Their goal is to achieve more efficient individual dietary intervention strategies aimed at preventing disease, improving quality of life and achieving healthy aging. Our studies, and those of many other investigators, using population-based and intervention studies have found evidence for interactions between dietary factors, genetic variants and biochemical markers of CVD. Now, the characterization of individuals who may respond better to one type of dietary recommendation than another can be begun. Thus, a low-fat low-cholesterol strategy may be particularly efficacious in lowering the plasma cholesterol levels of those subjects carrying the apoE4 allele at the APOE gene. HDL-cholesterol (HDL-C) levels are also modulated by dietary, behavioural and genetic factors. It has been reported that the effect of PUFA intake on HDL-C concentrations is modulated by an APOA1 genetic polymorphism. Thus, subjects carrying the A allele at the –75 G/A polymorphism show an increase in HDL-C with increased intakes of PUFA, whereas those homozygotes for the more common G allele have the expected lowering of HDL-C levels with increased intake of PUFA. Variability at the hepatic lipase gene is also associated with interactions between intake of fat and HDL-C concentrations that could shed some light on the different abilities of certain ethnic groups to adapt to new nutritional environments. This knowledge should lead to successful dietary recommendations partly based on genetic factors that may help to reduce cardiovascular risk more efficiently than the current universal recommendations.

Keywords

NutrigeneticsCardiovascular healthPlasma lipoproteins
Type
Symposium on ‘New sights into variability in lipid requirements’
Information
Proceedings of the Nutrition Society , Volume 63 , Issue 1 , February 2004 , pp. 145 - 152
Copyright
Copyright © The Nutrition Society 2004

References

Abate, N & Chandalia, M (2003) The impact of ethnicity on type 2 diabetes. Journal of Diabetes Complications 17, 39–58.CrossRefGoogle ScholarPubMed
Acton, S, Osgood, D, Donoghue, M, Corella, D, Pocovi, M, Cenarro, A, Mozas, P, Keilty, J, Squazzo, S, Woolf, EA & Ordovas, JM (1999) Association of polymorphisms at the SR-BI gene locus with plasma lipid levels and body mass index in a white population. Arteriosclerosis, Thrombosis and Vascular Biology 19, 1734–1743.CrossRefGoogle Scholar
Baroukh, N, Ostos, MA, Vergnes, L, Recalde, D, Staels, B, Fruchart, J, Ochoa, A, Castro, G & Zakin, MM (2001) Expression of human apolipoprotein A-I/C-III/A-IV gene cluster in mice reduces atherogenesis in response to a high fat-high cholesterol diet. FEBS Letters 502, 16–20.CrossRefGoogle Scholar
Birmingham, K (2000) New data show life is longer, better, but more expensive. Nature Medicine 6, 722.CrossRefGoogle ScholarPubMed
Brotman, DJ & Girod, JP (2002) The metabolic syndrome: a tug-of-war with no winner. Cleveland Clinical Journal of Medicine 69, 990–994.CrossRefGoogle ScholarPubMed
Chagnon, YC, Rankinen, T, Snyder, EE, Weisnagel, SJ, Pérusse, L & Bouchard, C (2003) The human obesity gene map: The 2002 update. Obesity Research 11, 313–367.CrossRefGoogle ScholarPubMed
Cox, NJ (2002) Calpain 10 and genetics of type 2 diabetes. Current Diabetes Reports 2, 186–190.CrossRefGoogle ScholarPubMed
Dawber, TR, Meadors, GF & Moore, FEJ (1951) Epidemiological approaches to heart disease: the Framingham Study. American Journal of Public Health 41, 279–286.CrossRefGoogle ScholarPubMed
Deckelbaum, RJ, Fisher, EA, Winston, M, Kumanyika, S, Lauer, RM, Pi-Sunyer, FX, St Jeor, S, Schaefer, EJ & Weinstein, IB (1999) Summary of a scientific conference on preventive nutrition: pediatrics to geriatrics. Circulation 100, 450–456.CrossRefGoogle ScholarPubMed
Elosua, R, Demissie, S, Cupples, LA, Meigs, JB, Wilson, PWF, Schaefer, EJ, Corella, D & Ordovas, JM (2003) Obesity modulates the association between apolipoprotein E genotype and fasting insulinemia and glucose in men. The Framingham Offspring Study. Obesity Research 11, 1502–1508.CrossRefGoogle Scholar
German, JB, Roberts, MA & Watkins, SM (2003) Genomics and metabolomics as markers for the interaction of diet and health: lessons from lipids. Journal of Nutrition 133, 2078S–2083S.CrossRefGoogle ScholarPubMed
Gloyn, AL (2003) The search for type 2 diabetes genes. Ageing Research Reviews 2, 111–127.CrossRefGoogle ScholarPubMed
Hanson, RL & Knowler, WC (2003) Quantitative trait linkage studies of diabetes-related traits. Current Diabetes Reports 3, 176–183.CrossRefGoogle ScholarPubMed
Hernan, WH, Brandle, M, Zhang, P, Williamson, DF, Matulik, MJ, Ratner, RE, Lachin, JM & Engelgau, MM (2003) Costs associated with the primary prevention of type 2 diabetes mellitus in the diabetes prevention program. Diabetes Care 26, 36–47.Google ScholarPubMed
Hu, FB (2003) The Mediterranean diet and mortality – olive oil and beyond. New England Journal of Medicine 348, 2595–2596.CrossRefGoogle ScholarPubMed
Kirkwood, TB (2002) Evolution of ageing. Mechanisms of Ageing and Development 123, 737–745.CrossRefGoogle ScholarPubMed
Lindpaintner, K (2002) The impact of pharmacogenetics and pharmacogenomics on drug discovery. Nature Reviews Drug Discovery 1, 463–469.CrossRefGoogle ScholarPubMed
McCarthy, MI (2003) Growing evidence for diabetes susceptibility genes from genome scan data. Current Diabetes Reports 3, 159–167.CrossRefGoogle ScholarPubMed
McCrae, T (1912) Osler's Principles and Practice of Medicine, p. 836. London: Appleton.Google Scholar
Mahaney, MC, Blangero, J, Rainwater, DL, Mott, GE, Comuzzie, AG, MacCluer, JW, VandeBerg, JL (1999) Pleiotropy and genotype by diet interaction in a baboon model for atherosclerosis: a multivariate quantitative genetic analysis of HDL subfractions in two dietary environments. Arteriosclerosis, Thrombosis and Vascular Biology 19, 1134–1141.CrossRefGoogle Scholar
Mandell, BF (2002) Who is conducting the deadly quartet?. Cleveland Clinical Journal of Medicine 69, 927.CrossRefGoogle ScholarPubMed
Masson, LF, McNeill, G, Avenell, A (2003) Genetic variation and the lipid response to dietary intervention: a systematic review. American Journal of Clinical Nutrition 77, 1098–1111.CrossRefGoogle ScholarPubMed
Meigs, JB (2003) Epidemiology of the insulin resistance syndrome. Current Diabetes Reports 3, 73–79.CrossRefGoogle ScholarPubMed
Mercado, MM, McLenithan, JC, Silver, KD & Shuldiner, AR (2002) Genetics of insulin resistance. Current Diabetes Reports 2, 83–95.CrossRefGoogle ScholarPubMed
Muller, M & Kersten, S (2003) Nutrigenomics: goals and strategies. Nature Reviews Genetics 4, 315–322.CrossRefGoogle ScholarPubMed
Nambi, V, Hoogwerf, RJ & Sprecher, DL (2002) A truly deadly quartet: obesity, hypertension, hypertriglyceridemia, and hyperinsulinemia. Cleveland Clinical Journal of Medicine 69, 985–989.CrossRefGoogle ScholarPubMed
National Cholesterol Education Program Adult Treatment Panel III (2002) Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 106, 3143–3421.CrossRefGoogle Scholar
Ordovas, JM (2002) Gene-diet interaction and plasma lipid responses to dietary intervention. Biochemical Society Transactions 30, 68–73.CrossRefGoogle ScholarPubMed
Ordovas, JM (2003) Cardiovascular disease genetics: a long and winding road. Current Opinion in Lipidology 14, 47–54.CrossRefGoogle ScholarPubMed
Ordovas, JM, Corella, D, Cupples, LA, Demissie, S, Kelleher, A, Coltell, O, Wilson, PW, Schaefer, EJ & Tucker, K (2002 a) Polyunsaturated fatty acids modulate the effects of the APOA1 G-A polymorphism on HDL-cholesterol concentrations in a sex-specific manner: the Framingham Study. American Journal of Clinical Nutrition 75, 38–46.CrossRefGoogle Scholar
Ordovas, JM, Corella, D, Demissie, S, Cupples, LA, Couture, P, Coltell, O, Wilson, PW, Schaefer, EJ & Tucker, KL (2002 b) Dietary fat intake determines the effect of a common polymorphism in the hepatic lipase gene promoter on high-density lipoprotein metabolism: evidence of a strong dose effect in this gene-nutrient interaction in the Framingham Study. Circulation 106, 2315–2321.CrossRefGoogle Scholar
Peregrin, T (2001) The new frontier of nutrition science: nutrigenomics. Journal of the American Dietetic Association 101, 1306.CrossRefGoogle ScholarPubMed
Perez-Martinez, P, Ordovas, JM, Lopez-Miranda, J, Gomez, P, Marin, C, Moreno, J, Fuentes, F, Fernandez de la Puebla, RA, Perez-Jimenez, F (2003) Polymorphism exon 1 variant at the locus of the scavenger receptor class B type I gene: influence on plasma LDL cholesterol in healthy subjects during the consumption of diets with different fat contents. American Journal of Clinical Nutrition 77, 809–813.CrossRefGoogle Scholar
Quinn, L (2003) Behavior and biology: the prevention of type 2 diabetes. Journal of Cardiovascular Nursing 18, 62–68.CrossRefGoogle ScholarPubMed
Rainwater, DL, Kammerer, CM, Carey, KD, Dyke, B, VandeBerg, JF, Shelledy, WR, Moore, PH Jr, Mahaney, MC, McGill, HC Jr & VandeBerg, JL (2002 a) Genetic determination of HDL variation and response to diet in baboons. Atherosclerosis 161, 335–343.CrossRefGoogle ScholarPubMed
Rainwater, DL, Kammerer, CM, Cox, LA, Rogers, J, Carey, KD, Dyke, B, Mahaney, MC, McGill, HC Jr & VandeBerg, JL (2002 b) A major gene influences variation in large HDL particles and their response to diet in baboons. Atherosclerosis 163, 241–248.CrossRefGoogle Scholar
Rainwater, DL, Kammerer, CM & VandeBerg, JL (1999) Evidence that multiple genes influence baseline concentrations and diet response of Lp(a) in baboons. Arteriosclerosis, Thrombosis and Vascular Biology 19, 2696–2700.CrossRefGoogle ScholarPubMed
Ravussin, E & Bogardus, C (2000) Energy balance and weight regulation: genetics versus environment. British Journal of Nutrition 83, Suppl. 1, S17–S20.CrossRefGoogle ScholarPubMed
Tai, ES, Ordovas, JM, Corella, D, Deurenberg-Yap, M, Chan, E, Adiconis, X, Chew, SK, Loh, LM & Tan, CE (2003) The TaqIB and -629C>A polymorphisms at the cholesteryl ester transfer protein locus: associations with lipid levels in a multiethnic population. The 1998 Singapore National Health Survey. Clinical Genetics 63, 19–30.CrossRefGoogle Scholar
The Diabetes Prevention Program Research Group (2000) The Diabetes Prevention Program: baseline characteristics of the randomized cohort. Diabetes Care 23, 19–29.Google Scholar
Tinker, A (2002) The social implications of an ageing population. Mechanisms of Ageing and Development 123, 729–735.CrossRefGoogle ScholarPubMed
Trayhurn, P (2003) Nutritional genomics – 'Nutrigenomics'. British Journal of Nutrition 89, 1–2.CrossRefGoogle ScholarPubMed
Tuomilehto, J, Lindstrom, J, Eriksson, JG, Valle, TT, Hamalainen, H, Ilanne-Parikka, P, Keinanen-Kiukaanniemi, S, Laakso, M, Louheranta, A, Rastas, M, Salminen, V & Uusitupa, M (2001) Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. New England Journal of Medicine 344, 1343–1350.CrossRefGoogle ScholarPubMed
US Department of Health and Human Services (2001) The Surgeon General's Call to Action to Prevent and Decrease Overweight and Obesity. Rockville, MD: US Department of Health and Human Services, Public Health Service, Office of the Surgeon General.Google Scholar
Van Ommen, B & Stierum, R (2002) Nutrigenomics: exploiting systems biology in the nutrition and health arena. Current Opinion in Biotechnology 13, 517–521.CrossRefGoogle ScholarPubMed
Vincent, S, Planells, R, Defoort, C, Bernard, MC, Gerber, M, Prudhomme, J, Vague, P & Lairon, D (2002) Genetic polymorphisms and lipoprotein responses to diets. Proceedings of the Nutrition Society 61, 427–434.CrossRefGoogle ScholarPubMed
Wareham, NJ, Franks, PW & Harding, AH (2002) Establishing the role of gene-environment interactions in the etiology of type 2 diabetes. Endocrinology and Metabolism Clinics of North America 31, 553–566.CrossRefGoogle ScholarPubMed
Wilson, PW, D'Agostino, RB, Levy, D, Belanger, AM, Silbershatz, H & Kannel, WB (1998) Prediction of coronary heart disease using risk factor categories. Circulation 97, 1837–1847.CrossRefGoogle ScholarPubMed
World Health Organization (2000) World Health Report 2000. Health Systems: Improving Performance. Geneva: WHO.Google Scholar
World Health Organization (2002) World Health Report 2002. Reducing Risks, Promoting Healthy Life. Geneva: WHO.Google Scholar