Literature DB >> 19339403

Genetic influences on blood lipids and cardiovascular disease risk: tools for primary prevention.

José M Ordovas1.   

Abstract

Genetic polymorphism in human populations is part of the evolutionary process that results from the interaction between the environment and the human genome. Recent changes in diet have upset this equilibrium, potentially influencing the risk of most common morbidities such as cardiovascular diseases, obesity, diabetes, and cancer. Reduction of these conditions is a major public health concern, and such a reduction could be achieved by improving our ability to detect disease predisposition early in life and by providing more personalized behavioral recommendations for successful primary prevention. In terms of cardiovascular diseases, polymorphisms at multiple genes have been associated with differential effects in terms of lipid metabolism; however, the connection with cardiovascular disease has been more elusive, and considerable heterogeneity exists among studies regarding the predictive value of genetic markers. This may be because of experimental limitations, the intrinsic complexity of the phenotypes, and the aforementioned interactions with environmental factors. The integration of genetic and environmental complexity into current and future research will drive the field toward the implementation of clinical tools aimed at providing dietary advice optimized for the individual's genome. This may imply that dietary changes are implemented early in life to gain maximum benefit. However, it is important to highlight that most reported studies have focused on adult populations and to extrapolate these findings to children and adolescents may not be justified until proper studies have been carried out in these populations and until the ethical and legal issues associated with this new field are adequately addressed.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19339403      PMCID: PMC2677003          DOI: 10.3945/ajcn.2009.27113E

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  108 in total

1.  Impact of dietary intervention, sex, and apolipoprotein E phenotype on tracking of serum lipids and apolipoproteins in 1- to 5-year-old children: the Special Turku Coronary Risk Factor Intervention Project (STRIP).

Authors:  Leena Rask-Nissilä; Eero Jokinen; Jorma Viikari; Anne Tammi; Tapani Rönnemaa; Jukka Marniemi; Pia Salo; Taina Routi; Hans Helenius; Ilkka Välimäki; Olli Simell
Journal:  Arterioscler Thromb Vasc Biol       Date:  2002-03-01       Impact factor: 8.311

2.  Quantitative effects of dietary fat on serum cholesterol in man.

Authors:  D M Hegsted; R B McGandy; M L Myers; F J Stare
Journal:  Am J Clin Nutr       Date:  1965-11       Impact factor: 7.045

3.  Variability in individual serum cholesterol response to change in diet.

Authors:  D R Jacobs; J T Anderson; P Hannan; A Keys; H Blackburn
Journal:  Arteriosclerosis       Date:  1983 Jul-Aug

4.  Interaction between a common variant of the cholesteryl ester transfer protein gene and the apolipoprotein E polymorphism: effects on plasma lipids and lipoproteins in a cohort of 7-year-old children.

Authors:  P Rump; R P Mensink; G Hornstra
Journal:  Nutr Metab Cardiovasc Dis       Date:  2002-12       Impact factor: 4.222

5.  Apolipoprotein E polymorphism is related to plasma lipids and apolipoproteins in Mexican adolescents.

Authors:  Aida X Medina-Urrutia; Guillermo C Cardoso-Saldaña; José Zamora-González; Yamamoto K Liria; Carlos Posadas-Romero
Journal:  Hum Biol       Date:  2004-08       Impact factor: 0.553

6.  The effect of apolipoprotein E isoform difference on postprandial lipoprotein in patients matched for triglycerides, LDL-cholesterol, and HDL-cholesterol.

Authors:  H R Superko; W L Haskell
Journal:  Artery       Date:  1991

7.  Apolipoprotein E isoform phenotyping methodology and population frequency with identification of apoE1 and apoE5 isoforms.

Authors:  J M Ordovas; L Litwack-Klein; P W Wilson; M M Schaefer; E J Schaefer
Journal:  J Lipid Res       Date:  1987-04       Impact factor: 5.922

8.  Impact of peroxisome proliferator-activated receptors gamma and delta on adiposity in toddlers and preschoolers in the GENESIS Study.

Authors:  Vasiliki Lagou; Robert A Scott; Yannis Manios; Tun-Li Joshua Chen; Guan Wang; Evangelia Grammatikaki; Christine Kortsalioudaki; Thodoris Liarigkovinos; George Moschonis; Eleftheria Roma-Giannikou; Yannis P Pitsiladis
Journal:  Obesity (Silver Spring)       Date:  2008-01-31       Impact factor: 5.002

9.  Torcetrapib and carotid intima-media thickness in mixed dyslipidaemia (RADIANCE 2 study): a randomised, double-blind trial.

Authors:  Michiel L Bots; Frank L Visseren; Gregory W Evans; Ward A Riley; James H Revkin; Charles H Tegeler; Charles L Shear; William T Duggan; Ralph M Vicari; Diederick E Grobbee; John J Kastelein
Journal:  Lancet       Date:  2007-07-14       Impact factor: 79.321

Review 10.  Dietary fat and serum lipids: an evaluation of the experimental data.

Authors:  D M Hegsted; L M Ausman; J A Johnson; G E Dallal
Journal:  Am J Clin Nutr       Date:  1993-06       Impact factor: 7.045

View more
  13 in total

1.  Web-enabled and improved software tools and data are needed to measure nutrient intakes and physical activity for personalized health research.

Authors:  Phyllis J Stumbo; Rick Weiss; John W Newman; Jean A Pennington; Katherine L Tucker; Paddy L Wiesenfeld; Anne-Kathrin Illner; David M Klurfeld; Jim Kaput
Journal:  J Nutr       Date:  2010-10-27       Impact factor: 4.798

2.  Association of ATP-binding cassette transporter-A1 polymorphism with apolipoprotein AI level in Tehranian population.

Authors:  Sohrab Halalkhor; Seyed Alireza Mesbah-Namin; Maryam Sadat Daneshpour; Mehdi Hedayati; Fereidoun Azizi
Journal:  J Genet       Date:  2011-04       Impact factor: 1.166

3.  The genomics of micronutrient requirements.

Authors:  Jacqueline Pontes Monteiro; Martin Kussmann; Jim Kaput
Journal:  Genes Nutr       Date:  2015-05-19       Impact factor: 5.523

Review 4.  Nutrigenomics and personalized diets: What will they mean for food?

Authors:  J Bruce German; Angela M Zivkovic; David C Dallas; Jennifer T Smilowitz
Journal:  Annu Rev Food Sci Technol       Date:  2011

5.  Novel variants at KCTD10, MVK, and MMAB genes interact with dietary carbohydrates to modulate HDL-cholesterol concentrations in the Genetics of Lipid Lowering Drugs and Diet Network Study.

Authors:  Mireia Junyent; Laurence D Parnell; Chao-Qiang Lai; Yu-Chi Lee; Caren E Smith; Donna K Arnett; Michael Y Tsai; Edmond K Kabagambe; Robert J Straka; Michael Province; Ping An; Ingrid Borecki; José M Ordovás
Journal:  Am J Clin Nutr       Date:  2009-07-15       Impact factor: 7.045

6.  Epigenetic mechanisms for nutrition determinants of later health outcomes.

Authors:  Steven H Zeisel
Journal:  Am J Clin Nutr       Date:  2009-03-04       Impact factor: 7.045

7.  Childhood obesity: are genetic differences involved?

Authors:  Claude Bouchard
Journal:  Am J Clin Nutr       Date:  2009-03-04       Impact factor: 7.045

Review 8.  Early determinants of development: a lipid perspective.

Authors:  Susan E Carlson
Journal:  Am J Clin Nutr       Date:  2009-03-25       Impact factor: 7.045

9.  PPARα gene variants as predicted performance-enhancing polymorphisms in professional Italian soccer players.

Authors:  Patrizia Proia; Antonino Bianco; Gabriella Schiera; Patrizia Saladino; Valentina Contrò; Giovanni Caramazza; Marcello Traina; Keith A Grimaldi; Antonio Palma; Antonio Paoli
Journal:  Open Access J Sports Med       Date:  2014-12-08

10.  Oxidized eicosapentaenoic acids more potently reduce LXRα-induced cellular triacylglycerol via suppression of SREBP-1c, PGC-1β and GPA than its intact form.

Authors:  Tharnath Nanthirudjanar; Hidehiro Furumoto; Takashi Hirata; Tatsuya Sugawara
Journal:  Lipids Health Dis       Date:  2013-05-16       Impact factor: 3.876

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.