The Influence of Nutrigenetics on the Lipid Profile: Interaction Between Genes and Dietary Habits

Andrade, Fabiana Michelsen de; Bulhões, Andréa Cristina da Silva; Maluf, Sharbel Weidner; Schuch, Jaqueline Bohrer; Voigt, Francine; Lucatelli, Juliana F.; Barros, Alessandra C.; Hutz, Mara H.

doi:10.1007/s10528-010-9331-6

Cited by 14 publications

(15 citation statements)

References 34 publications

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“…The absence of this gene SNP-dietary pattern interaction in men suggests that a combined set of polygenic variants may be relevant to this condition [6]; the difference in sex hormones and fat metabolism may be related to the rate of gene transcription, but the reasons for this are not well understood [36,37]. …”

Section: Discussionmentioning

confidence: 99%

Western Dietary Pattern Interaction with APOC3 Polymorphism in the Risk of Metabolic Syndrome: Tehran Lipid and Glucose Study

Hosseini-Esfahani

Mirmiran²,

Daneshpour³

et al. 2014

Lifestyle Genomics

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Background/Aims: Gene-dietary pattern interactions may contribute to the determination of a susceptibility to metabolic syndrome (MetS). The aim of this study was to evaluate the potential interactions of dietary patterns with the common genetic variant of APOC3 in relation to MetS in adults. Methods: In this individual matched nested case-control study, 755 MetS subjects and 755 controls were selected from among participants in the Tehran Lipid and Glucose Study. Dietary patterns were determined by factor analysis. APOC3 3238C>G rs5128 was genotyped by polymerase chain reaction and restriction fragment length polymorphism. Results: Fat-sweet, healthy and Western dietary patterns (WDP) were extracted from the data. In the joint analysis, the associations of the WDP and APOC3 rs5128 with MetS risk tended to be dependent on APOC3 3238C>G gene variants (p for interaction = 0.009) in women. The MetS risk was increased in women with the CC genotype with increasing tertiles of WDP scores compared with women with the CG + GG genotype, whose MetS risk was decreased with increasing tertiles of WDP scores. In addition, we found that intakes of fast food, salty snacks and soft drinks showed significant interactions with the rs5128 genotypes in relation to MetS risk (p for interactions <0.05). Conclusion: The results obtained demonstrate a diet-gene interaction between APOC3 rs5128 polymorphism and the WDP in relation to MetS risk.

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Section: Discussionmentioning

confidence: 99%

Western Dietary Pattern Interaction with APOC3 Polymorphism in the Risk of Metabolic Syndrome: Tehran Lipid and Glucose Study

Hosseini-Esfahani

Mirmiran²,

Daneshpour³

et al. 2014

Lifestyle Genomics

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“…Saito et al reported similar results in patients with type 2 diabetes after a 14 day reduced fat diet therapy, showing a mean reduction of 15.6% for LDL-cholesterol and of 16.3% for total cholesterol in the ApoE3/4 group compared to 0.7 and 6.6%, respectively in the ApoE3/3 group (Saito et al, 2004). Variation in HDL-cholesterol following a diet rich in polyunsaturated fat is unclear (Masson et al, 2003; De Andrade et al, 2010); however, physical activity, particularly in ApoE4 carriers (Bernstein et al, 2002), increases HDL cholesterol (Marrugat et al, 1996; Kokkinos and Fernhall, 1999). These findings are encouraging because they suggest that alternative and/or complementary approaches can be use to control metabolic variation in ApoE4 carriers.…”

Section: Treatmentmentioning

confidence: 99%

The potential applications of Apolipoprotein E in personalized medicine

Villeneuve

Brisson

Marchant

et al. 2014

Front. Aging Neurosci.

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Personalized medicine uses various individual characteristics to guide medical decisions. Apolipoprotein (ApoE), the most studied polymorphism in humans, has been associated with several diseases. The purpose of this review is to elucidate the potential role of ApoE polymorphisms in personalized medicine, with a specific focus on neurodegenerative diseases, by giving an overview of its influence on disease risk assessment, diagnosis, prognosis, and therapy. This review is not a systematic inventory of the literature, but rather a summary and discussion of novel, influential and promising works in the field of ApoE research that could be valuable for personalized medicine. Empirical evidence suggests that ApoE genotype informs pre-symptomatic risk for a wide variety of diseases, is valuable for the diagnosis of type III dysbetalipoproteinemia, increases risk of dementia in neurodegenerative diseases, and is associated with a poor prognosis following acute brain damage. ApoE status appears to influence the efficacy of certain drugs, outcome of clinical trials, and might also give insight into disease prevention. Assessing ApoE genotype might therefore help to guide medical decisions in clinical practice.

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“…Some studies have reported that diet may influence the effect of APOE polymorphism on blood lipid levels [13]–[15]. The data indicated that carriers of the ε4 allele were more responsive to high fat and cholesterol intake than those without the ε4 allele.…”

Section: Introductionmentioning

confidence: 99%

Associations between Apolipoprotein E Genotype, Diet, Body Mass Index, and Serum Lipids in Lithuanian Adult Population

et al. 2012

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BackgroundApolipoprotein E (APOE) polymorphism is associated with lipid levels. Some studies have reported that blood lipid response to diet or obesity varies depending on APOE genotypes. The aim of this study was to assess the effect of APOE genotypes, the intake of saturated fatty acids (SFA), and obesity on serum lipid levels in Lithuanian adult population.Methodology/Principal FindingsA cross-sectional health survey was carried out in five municipalities of Lithuania. The random sample was obtained from lists of 25–64 year-old inhabitants registered at primary health care centres. The data from 996 subjects (416 men and 580 women) were analysed in this study. Two single-nucleotide polymorphisms (rs429358 and rs7412) were assessed using a real-time polymerase chain reaction. 24-hour recall and food frequency questionnaire were used for evaluation of dietary habits. Serum lipids were determined using enzymatic methods.Men and women with the APOE2 genotype had the lowest level of total cholesterol (TC) (p = 0.002 for men, and p = 0.02 for women) and low-density lipoprotein cholesterol (LDL-C) (p<0.001). Multivariate linear regression analysis showed that age, genotype APOE2, SFA intake, and body mass index (BMI) were significant determinants of TC and LDL-C level (with p values ranging from 0.043 to 0.001). Our data did not reveal any statistically significant interactions between APOE genotype and SFA intake or between APOE genotype and BMI regarding TC and LDL-C level (all p>0.05). However, the predictive power of the regression model for LDL-C improved when gene-BMI interaction and gene-BMI interaction plus gene-nutrient interaction were added (p = 0.04 and p = 0.032 for R2 change, respectively).Conclusions/Significance APOE genotypes, SFA intake, and obesity were found to be associated with blood lipid levels in Lithuanian adult population. Analysis of gene-diet and gene-obesity interactions did not confirm that the effects of diet and obesity on TC and LDL-C level significantly depended on APOE genotype.

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The Influence of Nutrigenetics on the Lipid Profile: Interaction Between Genes and Dietary Habits

Cited by 14 publications

References 34 publications

Western Dietary Pattern Interaction with APOC3 Polymorphism in the Risk of Metabolic Syndrome: Tehran Lipid and Glucose Study

Western Dietary Pattern Interaction with APOC3 Polymorphism in the Risk of Metabolic Syndrome: Tehran Lipid and Glucose Study

The potential applications of Apolipoprotein E in personalized medicine

Associations between Apolipoprotein E Genotype, Diet, Body Mass Index, and Serum Lipids in Lithuanian Adult Population

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