71 research outputs found
Interaction between diets, polymorphisms and plasma lipid levels
Cardiovascular disease (CVD) is responsible for significant morbidity and mortality. Dietary guidelines that aim to manage fat intake reduce CVD, but an important interindividual variability in plasma lipid responsiveness is observed in individuals following these diets. This interdividual variability in response to diets may be attributable to several single nucleotide polymorphisms (SNPs) in genes encoding key proteins involved in lipoprotein metabolism. In this article, we discuss the effect of different diets, classified by type of dietary fats, on plasma lipid levels in relationship to various polymorphisms in key genes that may affect lipid and lipoprotein metabolism. In summary, various polymorphisms may predispose an individual to be more or less responsive to a specific dietary intervention; however, future studies need to be conducted to confirm the effect of these various SNPs. In conclusion, this article reinforces the importance of taking account genetic variability into account in order to personalize potential future dietary recommendations for the prevention and management of hyperlipidemia
Differences in Transcriptional Activation by the Two Allelic (L162V Polymorphic) Variants of PPARα after Omega-3 Fatty Acids Treatment
Omega-3 fatty acids (FAs) have the potential to regulate gene
expression via the peroxisome proliferator-activated receptor α (PPARα);
therefore, genetic variations in this gene may
impact its
transcriptional activity on target genes. It is hypothesized that
the transcriptional activity by wild-type L162-PPARα is enhanced
to a greater extent than the mutated variant (V162-PPARα) in the
presence of eicosapentaenoic acid (EPA), docosahexaenoic acid
(DHA) or a mixture of EPA:DHA. To examine the functional
difference of the two allelic variants on receptor activity,
transient co-transfections were performed in human hepatoma HepG2
cells activated with EPA, DHA and EPA:DHA mixtures. Results
indicate that the addition of EPA or DHA demonstrate potential to
increase the transcriptional activity by PPARα with respect to
basal level in both variants. Yet, the EPA:DHA mixtures enhanced
the transcriptional activity to a greater extent than individual
FAs indicating possible additive effects of EPA and DHA.
Additionally, the V162 allelic form of PPARα demonstrated
consistently lower transcriptional activation when incubated with
EPA, DHA or EPA:DHA mixtures than, the wild-type variant. In
conclusion, both allelic variants of the PPARα L162V are activated
by omega-3 FAs; however, the V162 allelic form displays a lower
transcriptional activity than the wild-type variant
Transcriptomic profiles of skeletal muscle tissue following an euglycemic-hyperinsulinemic clamp in insulin-resistant obese subjects
Insulin resistance in skeletal muscle is an early phenomenon in the pathogenesis of type 2 diabetes. Muscle is mainly responsible for insulin-stimulated glucose clearance from the bloodstream. Thus, regulation of gene expression in muscle tissue may be involved in the pathogenesis of insulin resistance. The objective was to investigate gene expression and metabolic pathways alterations in skeletal muscle tissue following an euglycemic-hyperinsulinemic clamp in obese insulin-resistant subjects. We carried out a transcriptome comparison of skeletal muscle tissue before and after a 3-h euglycemic-hyperinsulinemic clamp following 8-week supplementation with n-3 polyunsaturated fatty acid (PUFA) (1.8 g/day) with or without a supplement of fish gelatin (FG) (25 % of daily protein intake) in 16 obese insulin-resistant subjects. Results indicate that approximately 5 % (1932) of expressed transcripts were significantly changed after the clamp in both n-3 PUFA and n-3 PUFA + FG supplementation periods. Of these differentially expressed transcripts, 1394 genes associated with enzymes, transcription and translation regulators, transporters, G protein-coupled receptors, cytokines, and ligand-dependent nuclear receptors were modified. Metabolic pathways that were significantly modified included liver X receptor/retinoid X receptors (RXR) activation, vitamin D receptor/RXR activation, interleukin (IL)-8, acute phase response, IL10, triggering receptor expressed on myeloid cells 1, peroxisome proliferator-activated receptor, G-beta/gamma and hepatocyte growth factor and IL6 signaling. Taken together, results suggest that mainly inflammatory and transcription factors are modified following clamp in obese insulin-resistant subjects. Overall, understanding the changes in metabolic pathways due to insulin may be a potential target for the management of insulin resistance
Effects of FADS and ELOVL polymorphisms on indexes of desaturase and elongase activities: results from a pre-post fish oil supplementation
Polymorphisms (SNPs) within the FADS gene
cluster and the ELOVL gene family are believed to influence
enzyme activities after an omega-3 (n-3) fatty acid (FA)
supplementation. The objectives of the study are to test
whether an n-3 supplementation is associated with indexes
of desaturase and elongase activities in addition to verify
whether SNPs in the FADS gene cluster and the ELOVL
gene family modulate enzyme activities of desaturases and
elongases. A total 208 subjects completed a 6-week supplementation period with 5 g/day of fish oil (1.9–2.2 g/day
of EPA ? 1.1 g/day of DHA). FA profiles of plasma
phospholipids were obtained by gas chromatography
(n = 210). Desaturase and elongase indexes were estimated
using product-to-precursor ratios. Twenty-eight SNPs from
FADS1, FADS2, FADS3, ELOVL2 and ELOVL5 were
genotyped using TaqMan technology. Desaturase indexes
were significantly different after the 6-week n-3 supplementation. The index of d-5 desaturase activity increased by
25.7 ± 28.8 % (p\0.0001), whereas the index of d-6
desaturase activity decreased by 17.7 ± 18.2 %
(p\0.0001) post-supplementation. Index of elongase
activity decreased by 39.5 ± 27.9 % (p\0.0001). Some
gene–diet interactions potentially modulating the enzyme
activities of desaturases and elongases involved in the FA
metabolism post-supplementation were found. SNPs within
the FADS gene cluster and the ELOVL gene family may
play an important role in the enzyme activity of desaturases
and elongases, suggesting that an n-3 FAs supplementation
may affect PUFA metabolism
The metabolic signature associated with the Western dietary pattern : a cross-sectional study
Background: Metabolic profiles have been shown to be associated to obesity status and insulin sensitivity. Dietary
intakes influence metabolic pathways and therefore, different dietary patterns may relate to modifications in metabolic
signatures. The objective was to verify associations between dietary patterns and metabolic profiles composed of amino
acids (AAs) and acylcarnitines (ACs).
Methods: 210 participants were recruited in the greater Quebec City area between September 2009 and December 2011.
Dietary patterns had been previously derived using principal component analysis (PCA). The Prudent dietary pattern was
characterised by higher intakes of vegetables, fruits, whole grain products, non-hydrogenated fat and lower intakes
of refined grain products, whereas the Western dietary pattern was associated with higher intakes of refined grain
products, desserts, sweets and processed meats. Targeted metabolites were quantified in 37 participants with the
Biocrates Absolute IDQ p150 (Biocrates Life Sciences AG, Austria) mass spectrometry method (including 14 amino
acids and 41 acylcarnitines).
Results: PCA analysis with metabolites including AAs and ACs revealed two main components explaining the most
variance in overall data (13.8%). PC1 was composed mostly of medium- to long-chain ACs (C16:2, C14:2, C14:2-OH,
C16, C14:1-OH, C14:1, C10:2, C5-DC/C6-OH, C12, C18:2, C10, C4:1-DC/C6, C8:1 and C2) whereas PC2 included certain
AAs and short-chain ACs (xLeu, Met, Arg, Phe, Pro, Orn, His, C0, C3, C4 and C5). The Western dietary pattern
correlated negatively with PC1 and positively with PC2 (r = −0.34, p = 0.05 and r = 0.38, p = 0.03, respectively),
independently of age, sex and BMI.
Conclusion: These findings suggest that the Western dietary pattern is associated with a specific metabolite
signature characterized by increased levels of AAs including branched-chain AAs (BCAAs) and short-chain ACs
An interaction effect between glucokinase gene variation and carbohydrate intakes modulates the plasma triglyceride response to a fish oil supplementation
A large inter-individual variability in the plasma triglyceride (TG) response to fish oil consumption has been observed. The objective was to investigate the gene-diet interaction effects between single-nucleotide polymorphisms (SNPs) within glucokinase (GCK) gene and dietary carbohydrate intakes (CHO) on the plasma TG response to a fish oil supplementation. Two hundred and eight participants were recruited in the greater Quebec City area. The participants completed a 6-week fish oil supplementation (5 g fish oil/day: 1.9-2.2 g EPA and 1.1 g DHA). Thirteen SNPs within GCK gene were genotyped using TAQMAN methodology. A gene-diet interaction effect on the plasma TG response was observed with rs741038 and CHO adjusted for age, sex and BMI (p = 0.008). In order to compare the plasma TG response between genotypes according to CHO, participants were divided according to median CHO. Homozygotes of the minor C allele of rs741038 with high CHO >48.59 % had a greater decrease in their plasma TG concentrations following the intake of fish oil (p < 0.05) than C/C homozygotes with low CHO and also than the other genotypes either with high or low CHO. The plasma TG response to a fish oil supplementation may be modulated by gene-diet interaction effects involving GCK gene and CHO
Associations between dietary patterns and gene expression profiles of healthy men and women: a cross-sectional study
Background: Diet regulates gene expression profiles by several mechanisms. The objective of this study was to
examine gene expression in relation with dietary patterns.
Methods: Two hundred and fifty four participants from the greater Quebec City metropolitan area were recruited.
Two hundred and ten participants completed the study protocol. Dietary patterns were derived from a food
frequency questionnaire (FFQ) by factor analysis. For 30 participants (in fasting state), RNA was extracted from
peripheral blood mononuclear cells (PBMCs) and expression levels of 47,231 mRNA transcripts were assessed using
the Illumina Human-6 v3 Expression BeadChipsW. Microarray data was pre-processed with Flexarray software and
analysed with Ingenuity Pathway Analysis (IPA).
Results: Two dietary patterns were identified. The Prudent dietary pattern was characterised by high intakes of
vegetables, fruits, whole grain products and low intakes of refined grain products and the Western dietary pattern,
by high intakes of refined grain products, desserts, sweets and processed meats. When individuals with high scores
for the Prudent dietary pattern where compared to individuals with low scores, 2,083 transcripts were differentially
expressed in men, 1,136 transcripts in women and 59 transcripts were overlapping in men and women. For the
Western dietary pattern, 1,021 transcripts were differentially expressed in men with high versus low scores, 1,163
transcripts in women and 23 transcripts were overlapping in men and women. IPA reveals that genes differentially
expressed for both patterns were present in networks related to the immune and/or inflammatory response, cancer
and cardiovascular diseases.
Conclusion: Gene expression profiles were different according to dietary patterns, which probably modulate the
risk of chronic diseases
Gene-diet interactions with polymorphisms of the MGLL gene on plasma low-density lipoprotein cholesterol and size following an omega-3 polyunsaturated fatty acid supplementation : a clinical trial
Background: Omega-3 (n-3) polyunsaturated fatty acid (PUFA) consumption increases low-density lipoprotein
(LDL) cholesterol (C) concentrations and particle size. Studies showed that individuals with large, buoyant LDL
particles have decreased risk of cardiovascular diseases. However, a large inter-individual variability is observed in LDL
particle size. Genetic factors may explain the variability of LDL-C concentrations and particle size after an n-3 PUFA
supplementation. The monoglyceride lipase (MGLL) enzyme, encoded by the MGLL gene, plays an important role in
lipid metabolism, especially lipoprotein metabolism. The aim of this study was to investigate if polymorphisms (SNPs)
of the MGLL gene influence the variability of LDL-C and LDL particle size in response to an n-3 PUFA supplementation.
Methods: 210 subjects completed the study. They consumed 5 g/d of a fish oil supplement (1.9-2.2 g eicosapentaenoic
acid and 1.1 g docosaexaenoic acid) during 6 weeks. Plasma lipids were measured before and after the supplementation
period and 18 SNPs of the MGLL gene, covering 100% of common genetic variations (minor allele frequency ≥0.05),
have been genotyped using TaqMan technology (Life Technologies Inc., Burlington, ON, CA).
Results: Following the n-3 PUFA supplementation, 55% of subjects increased their LDL-C levels. In a model including the
supplementation, genotype and supplementation*genotype effects, gene-diet interaction effects on LDL-C concentrations
(rs782440, rs6776142, rs555183, rs6780384, rs6787155 and rs1466571) and LDL particle size (rs9877819 and rs13076593)
were observed for the MGLL gene SNPs (p < 0.05).
Conclusion: SNPs within the MGLL gene may modulate plasma LDL-C levels and particle size following an n-3 PUFA
supplementation. This trial was registered at clinicaltrials.gov as NCT01343342
Changes in plasma phospholipid fatty acid patterns and their impact on plasma triglyceride levels following fish oil supplementation
The objective of the present study was to test for associations between changes in fatty acids (FAs) and changes in plasma triglyceride (TG) levels after an n-3 FA supplementation and to test whether SNPs from the FADS gene cluster were associ-ated with plasma FA levels or with specific FA patterns. A total of 210 subjects completed a 2-wk run-in period followed by 6-wk supplementation with 5g/d of fish oil. FA profiles of plasma phospholipids (PPLs) were obtained and 19 SNPs from the FADS gene cluster were genotyped. Principal component analysis was conducted and scores were calculated. There was an increase in EPA, DPA and DHA levels in PPLs as well as a decrease in ALA and all n-6 FA levels after the supplementa-tion. Factor analysis suggested 4 post-n-3 FA supplementation patterns. Changes in AA, ALA, DGLA, as well as changes in total n-3 and omega-6 FAs in absolute quantities of FAs were all associated with a change in TG levels whereas the cor-relation remained significant only for AA and DGLA when FAs were expressed as percentage of total FAs. Several SNPs from the FADS gene cluster were associated with post-supplementation FA levels. These results suggest that FAs alone or regrouped in factors could play a role in modulating plasma TG levels after fish oil supplementation. SNPs from the FADSgene cluster interact with both FAs and/or factors to modulate TG levels
Genome-wide association study of dietary pattern scores
Dietary patterns, representing global food supplies rather than specific nutrients or food intakes, have been associated with cardiovascular disease (CVD) incidence and mortality. The contribution of genetic factors in the determination of food intakes, preferences and dietary patterns has been previously established. The current study aimed to identify novel genetic factors associated with reported dietary pattern scores. Reported dietary patterns scores were derived from reported dietary intakes for the preceding month and were obtained through a food frequency questionnaire and genome-wide association study (GWAS) conducted in a study sample of 141 individuals. Reported Prudent and Western dietary patterns demonstrated nominal associations (p < 1 × 10−5) with 78 and 27 single nucleotide polymorphisms (SNPs), respectively. Among these, SNPs annotated to genes previously associated with neurological disorders, CVD risk factors and obesity were identified. Further assessment of SNPs demonstrated an impact on gene expression levels in blood for SNPs located within/near BCKDHB (p = 0.02) and the hypothalamic glucosensor PFKFB3 (p = 0.0004) genes, potentially mediated through an impact on the binding of transcription factors (TFs). Overrepresentations of glucose/energy homeostasis and hormone response TFs were also observed from SNP-surrounding sequences. Results from the current GWAS study suggest an interplay of genes involved in the metabolic response to dietary patterns on obesity, glucose metabolism and food-induced response in the brain in the adoption of dietary patterns
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