Open Access

Effects of FADS and ELOVL polymorphisms on indexes of desaturase and elongase activities: results from a pre-post fish oil supplementation

  • Hubert Cormier1, 2,
  • Iwona Rudkowska3, 4,
  • Simone Lemieux1, 2,
  • Patrick Couture1, 4,
  • Pierre Julien4 and
  • Marie-Claude Vohl1, 2, 4Email author
Genes & NutritionStudying the relationship between genetics and nutrition in the improvement of human health20149:437

https://doi.org/10.1007/s12263-014-0437-z

Received: 15 August 2014

Accepted: 17 October 2014

Published: 4 November 2014

Abstract

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 δ-5 desaturase activity increased by 25.7 ± 28.8 % (p < 0.0001), whereas the index of δ-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.

Keywords

Omega-3 fatty acids Diet and dietary lipids Genomics Fish oil Omega-6 fatty acids Genotype

Introduction

Elongation and desaturation of long-chain (LC) polyunsaturated fatty acids (PUFA) of the omega-3 (n-3) family are made possible by enzymes called desaturases and elongases. Figure 1 shows the metabolic pathway of n-3 and omega-6 (n-6) fatty acids (FA) with an emphasis on enzymes required for synthesis of LC-PUFAs. The use of the δ-6 desaturases (D6D) twice in the conversion of alpha-linolenic acid (ALA) to docosahexaenoic acid (DHA) suggests that this enzyme may play a key regulatory role in the PUFA metabolism (Portolesi et al. 2007).
Fig. 1

Synthesis of n-3 and n-6 PUFAs in humans. Elongases and desaturases are the enzymes responsible for the conversion of α-linolenic acid (ALA, C18:3n-3) to eicosapentaenoic acid (EPA, C20:5n-3) and docosahexaenoic acid (DHA, C22:6n-3). They are also involved in the synthesis of omega-6′s products, mainly the arachidonic acid (AA, C20:4n-6) which leads to the production of proinflammatory mediators. Desaturases and elongases are both involved in the fatty acid metabolism. These enzymes are encoded by genes from the FADS gene cluster and the ELOVL gene family

Fatty acid desaturase 1 and 2 (FADS1 and FADS2, respectively) genes encode for key enzymes in the PUFA metabolism, the δ-5 desaturase (D5D) and D6D, respectively (Malerba et al. 2008). These desaturases are responsible for the double bond formation between two carbons leading to more unsaturated FAs. Elongases are encoded by genes within the ELOVL family and catalyzes the elongation of the aliphatic chain of carbons leading to the formation of LC-PUFAs (Jakobsson et al. 2006). Two elongases are involved in LC-PUFA synthesis, the fatty acid elongase-2 and the fatty acid elongase-5, encoded, respectively, by ELOVL2 and ELOVL5 genes. A high desaturase activity may lead to an increased bioavailability of arachidonic acid (AA) with dominant synthesis of AA-derived proinflammatory eicosanoids, possibly leading to vascular damage, especially in populations eating a Western diet (Martinelli et al. 2009). Excessive amounts of n-6 FAs from the diet and from the endogenous synthesis, as seen in today’s Western diets, promote the pathogenesis of many diseases including cardiovascular disease, cancers as well as inflammatory and autoimmune diseases, whereas increased levels of n-3 FA (a lower n-6/n-3 ratio) exert suppressive effects (Simopoulos 2008). In opposition to a diet rich in n-6 PUFA, a diet rich in n-3 FAs could result in a preferential synthesis of anti-inflammatory eicosanoids in addition to a high desaturase activity (Martinelli et al. 2009). A shift from n-6 to n-3 induces changes in the eicosanoid profile, which may lead to a decrease inflammatory state (Calder 2009).

There is a high affinity of D6D for ALA (D’Andrea et al. 2002), thus favouring the n-3 FA pathway at the expense of the n-6 pathway (Sprecher 2002). These two classes of FAs compete for a number of enzyme systems which can influence inflammatory responses, vascular reactivity, and platelet aggregation (Harris 2006). Moreover, oleic acid (18:1n-9) from the omega-9 (n-9) pathway is also metabolized by D5D and D6D (Das 2007). As a result, all these series of FAs, i.e., n-3, n-6, and n-9, compete for the same set of enzymes, although a preferential affinity has been demonstrated according to the following sequence: n-3 > n-6 > n-9 (Das 2007).

Recent studies suggested that some common SNPs of the FADS gene cluster and of the ELOVL gene family (Tanaka et al. 2009) are associated with plasma n-6 and n-3 FA levels. Accordingly, Lemaitre et al. (2011) have shown, in a genome-wide association studies in five population-based cohorts comprising 8,866 subjects of European ancestry, that SNPs from the FADS gene cluster and from ELOVL2 gene were associated with plasma eicosapentaenoic acid, DHA and ALA levels measured in plasma phospholipids. SNPs within the FADS gene cluster, in particular rs175547, are also believed to alter desaturase activity in two different ethnic populations, Caucasian and Asian, as shown by Merino et al. (2011).

The objectives of the present study are to test whether n-3 FA supplementation is associated with indexes of desaturase and elongase activities as determined by product-to-precursor ratios in addition to verify whether SNPs in the FADS gene cluster and the ELOVL gene family modulate enzyme activities of desaturases and elongases following an n-3 FA supplementation.

Materials and methods

Sociodemographics

Two hundred and fifty-four unrelated subjects from the greater Quebec City metropolitan area were recruited between September 2009 and December 2011 through advertisements in local newspapers as well as by electronic messages sent to university students/employees. To be eligible for the study, subjects had to be aged between 18 and 50 years with a body mass index (BMI) between 25 and 40 kg/m2. They had to be non-smokers and free of any thyroid or metabolic disorders such as hypo/hyperthyroidism, dyslipidemia, and type 2 diabetes among others. Subjects were excluded if they had taken fish oil supplements for at least 6 months prior to the beginning of the study and if their baseline triglyceride levels were above 4.0 mmol/l. Statistical analyses were performed on 210 individuals who completed the supplementation period.

Study design

The complete study design has been previously reported (Cormier et al. 2012). Briefly, subjects followed a run-in period of 2 weeks where a trained registered dietitian gave individual dietary instructions. Recommendations were drawn from the Canada’s Food Guide to Healthy Eating (Eating Well with Canada’s Food Guide 2007). After a 2-week run-in period, each participant received a bottle containing n-3 FA capsules (Ocean Nutrition, Nova Scotia, Canada) covering the following 6-week period. They had to take five capsules per day, which gave them a total of 3–3.3 g of n-3 FA (1.9–2.2 g EPA and 1.1 g DHA) per day. Subjects had to report any deviations that may have occurred during the protocol. They also had to write down their alcohol and fish consumption on a log sheet. Before each phase of the study, subjects received written and oral dietary instructions by a registered dietitian.

SNPs selection and genotyping

SNPs in FADS1, FADS2, FADS3, ELOVL2 and ELOVL5 were identified using the International HapMap Project SNP database, based on the NCBI B36 assembly Data Rel 28. phase II + III, build 126. The FADS gene cluster is made of three genes that are located very close to each other among chromosome 11. Because of the head-to-head orientation of FADS1 and FADS2 and the tail-to-tail orientation of FADS2 and FADS3, we added 500-kilo base pairs (kbp) downstream of FADS1 and 2,500-kbp upstream of FADS3 to cover the 5′UTR and 3′UTR regions. Intergenic areas comprised between FADS1 and FADS2 and between FADS2 and FADS3 were also covered. ELOVL2 and ELOVL5 genes are both located on chromosome 6. Gene Tagger procedure in Haploview V4.2 was used to determine tag SNPs using a minor allele frequency ≥1 % and pairwise tagging (r 2 ≥ 0.8). Subsequently, we examined linkage disequilibrium out of the nineteen SNPs of the FADS gene cluster area, the 4 tSNPs of the ELOVL5 gene, and the 6 tSNPs of the ELOVL2 gene using the LD Plot procedure in Haploview V4.2. The SIGMA GenElute Gel Extraction Kit (Sigma-Aldrich Co. St.Louis. Missouri. USA) has been used to extract genomic DNA. Selected SNPs of the FADS gene cluster (rs174456, rs174627, rs482548, rs2072114, rs12807005, rs174448, rs2845573, rs7394871, rs7942717, rs74823126, rs174602, rs498793, rs7935946, rs174546, rs174570, rs174579, rs174611, rs174616 and rs968567) and of the ELOVL genes (rs209492, rs2073040, rs2294852, rs9370194, rs13204015, rs12195587, rs4532436, rs3734397, rs2281591 and rs3798710) have been genotyped using validated primers and TaqMan probes (Life Technologies Corporation, Burlington, On.) (Livak 1999). DNA was mixed with TaqMan Universal PCR Master Mix (Life Technologies Corporation, Burlington, On.), with a gene-specific primer and with probe mixture (predeveloped TaqMan SNP Genotyping Assays; Life Technologies Corporation, Burlington, On.) in a final volume of 10 μl. Genotypes were determined using a 7500 RT-PCR System and analyzed using ABI Prism SDS version 2.0.5 (Life Technologies Corporation, Burlington, On.).

Measurement of FA composition in plasma phospholipids

Subjects arrived at the research center following an overnight fast. FA composition of plasma phospholipids was determined by gas chromatography. Venous blood was drawn into EDTA tubes, and plasma was immediately separated by centrifugation at 500 g for 6 min and stored at −80 °C for subsequent analyses. Plasma lipids were extracted with chloroform:methanol (2:1, by volume) according to a modified Folch method (Shaikh and Downar 1981). Total phospholipids were then isolated with isopropyl ether:acetic acid (96:4) by thin layer chromatography (Lepage and Roy 1986). Isolated plasma phospholipids were then methylated (Lepage and Roy 1986). FA profiles were obtained after methylation in methanol/benzene 4:1 (v/v) (Lepage and Roy 1986) and capillary gas chromatography using a temperature gradient on a HP5890 gas chromatograph (Hewlett Packard, Toronto, Canada) equipped with a HP-88 capillary column (100 m × 0.25 mm i.d. × 0.20 µm film thickness; Agilent Technologies, Palo Atto, CA) coupled with a flame ionization detector (FID). Helium was used as carrier gas (split ratio 1:80). FA were identified according to their retention time, using the following standard mixtures as a basis for comparison: the FAME 37 mix (Supelco Inc., Bellefonte, PA) and the GLC-411 FA mix (NuChek Prep Inc, Elysian, MN), as well as the following methylated FAs C22:5n-6 (Larodan AB, Malmö, Sweden) and C22:5n-3 (Supelco Inc., Bellefonte, PA). Phospholipids FA profiles were expressed as the relative percentage areas of total FAs. The database and ontology of Chemical Entities of Biological Interest (ChEBI) has been used to identify FAs herein.

Estimates of D5D and D6D activities were computed using product-to-precursor ratios: (C20:4n-6, AA):(C20:3n-6, dihomo-γ-linolenic acid (DGLA)), and (C20:3n-6, DGLA):(C18:2n-6, linoleic acid (LA)), respectively, as previously described (Bokor et al. 2010). The index of elongase activity was calculated using the (C22:4n-6):(C20:4n-6, AA) ratio.

Statistical analysis

All genotype distributions were tested for any deviation from Hardy–Weinberg equilibrium (HWE) using the ALLELE procedure in S.A.S Genetics v9.3 (S.A.S Institute Inc., Cary, North Carolina, USA). Significance testing for linkage disequilibrium coefficient D was obtained using a Chi-square test, likelihood ratio and Fisher’s exact test (p ≤ 0.01). All other statistical analyses were carried out using S.A.S statistical software v9.3 (S.A.S Institute Inc., Cary, North Carolina, USA). Normal distribution was evaluated using the box-plot, as well as skewness and kurtosis ranges. When needed, variables non-normally distributed were log10-transformed. A linear regression using the stepwise bidirectional elimination approach was used to assess which SNPs could explain part of the enzyme activity’s variance where the effects of the SNPs, age, sex, and BMI were included in the statistical model and where the effect of baseline enzyme activity was added (in post-supplementation only). The MIXED procedure was used to test for the effects of the genotype, the supplementation (effect of time) and the genotype × supplementation interaction for each SNP on estimates of enzyme activities when age, sex and BMI were included in the model. The repeated statement was used to indicate the within subjects (repeated) variables. Genotype groups were assessed as three groups expressed as major allele homozygotes, heterozygotes and minor allele homozygotes. For some SNPs, heterozygotes and minor allele homozygotes were grouped if the genotype frequency was under 5 %. The statistical significance was defined as p ≤ 0.05. Since polymorphisms tested in complex diseases rarely account for a large proportion of the variance, results are thus presented before correction for multiple testing and using a p ≤ 0.05.

Results

Subjects’ characteristics pre- and post-supplementation are presented in Table 1. Estimates of D5D activity increased by 25.7 ± 28.8 % (Mean ± SD, p < 0.0001), whereas surrogate estimates of D6D activity decreased by 17.7 ± 18.2 % (p < 0.0001) after the supplementation. Index of elongase activity decreased by 39.5 ± 27.9 % (p < 0.0001) (Table 1). Triglyceride, insulin, total-cholesterol and LDL-cholesterol levels were inversely associated with D5D activity and positively associated with D6D activity after the supplementation (data not shown, p < 0.008 for all). Moreover, a decrease in plasma levels of n-6 FAs was observed: LA (−9.85 ± 10.76 %, p < 0.0001); AA (−11.20 ± 9.99 %, p < 0.0001); as well as a decrease in plasma levels of ALA (−31.44 ± 50.44 %, p = 0.0002) following the intervention. On the n-3 FAs side, an increase was observed for plasma levels of EPA (+331.11 ± 214.74 %, p < 0.0001) and DHA (+46.31 ± 27.46 %, p < 0.0001). The same pattern was also observed for absolute quantities of FAs (μg/ml) where similar rates of change were revealed as shown in Table 1.
Table 1

Characteristics of the subjects

 

Pre-n-3 PUFA supplementation

Post-n-3 PUFA supplementation

Δ

p value

Sex (men/women)

97/113

  

Age (years)

30.8 ± 8.7

  

Weight (kg)

81.3 ± 13.9

81.6 ± 14.2

 

0.82

BMI (kg/m2)

27.8 ± 3.7

27.9 ± 3.8

 

0.81

Plasma desaturase activity

 D5D (20:4n-6/20:3n-6)

3.57 ± 1.15

4.34 ± 1.25

25.71 ± 28.83 (n = 210)

<0.0001

 D6D (20:3n-6/18:2n-6)

0.17 ± 0.05

0.14 ± 0.04

−17.68 ± 18.15 (n = 210)

<0.0001

Plasma elongase activity

 ELOVL2 (22:4n-6/20:4n-6)

0.0318 ± 0.0064

0.0193 ± 0.0093

−39.52 ± 27.89 (n = 209)

<0.0001

Omega-6 (% of total FAs)

 Linoleic acid, C18:2n-6, LA

19.71 ± 2.08

17.69 ± 2.22

−9.85 ± 10.76

<0.0001

 Arachidonic acid, C20:4n-6, AA

11.05 ± 1.74

9.74 ± 1.44

−11.20 ± 9.99

<0.0001

Omega-3 (% of total FAs)

 Alpha-linolenic acid, C18:3n-3, ALA

0.18 ± 0.15

0.14 ± 0.12

−31.44 ± 50.44

0.0002

 Eicosapentaenoic acid, C20:5n-3, EPA

1.12 ± 0.52

4.10 ± 1.28

331.11 ± 214.74

<0.0001

 Docosahexaenoic acid, C22:6n-3, DHA

3.53 ± 0.77

5.03 ± 0.86

46.31 ± 27.46

<0.0001

Omega-6 (μg/ml)

Linoleic acid C18:2n-6, LA

227.26 ± 44.46

199.16 ± 45.38

−11.63 ± 15.82

<0.0001

 Arachidonic acid, C20:4n-6, AA

128.14 ± 32.77

109.63 ± 27.03

−13.04 ± 14.26

<0.0001

Omega-3 (μg/ml)

    

 Alpha-linolenic acid, C18:3n-3, ALA

2.22 ± 1.89

1.72 ± 1.52

−32.08 ± 51.42

<0.0001

 Eicosapentaenoic acid, C20:5n-3, EPA

12.92 ± 6.41

46.15 ± 16.99

328.79 ± 227.51

<0.0001

 Docosahexaenoic acid, C22:6n-3, DHA

40.97 ± 12.54

57.04 ± 16.05

43.55 ± 33.50

<0.0001

Measurements made prior to- and after a 6-week n-3 FA supplementation; values are mean ± SD

The rate of change (Δ) expressed as the relative variation of plasma FAs as a percentage (%) or absolute quantities (μg/ml) between the pre- and post-n-3 PUFA period. Differences between the pre- and post-n-3 PUFA supplementation were tested using a pairwise Student’s t test

All SNPs were in HWE except rs7935946 (FADS) that was not considered for further analyses. All selected SNPs are presented in Table 2 and LD tables are presented in Tables 3, 4, and 5.  To validate the presence of associations between surrogate estimates of enzyme activities involved in the n-3 FA synthesis pathway with SNPs of the FADS gene cluster or ELOVL gene family, all SNPs were included in a stepwise regression model adjusted for the effects of age, sex and BMI. Prior to the n-3 FA supplementation, three SNPs were associated with the estimates of D5D activity: rs968567 (R 2 = 13.83 %, p < 0.0001), rs2845573 (R 2 = 11.65 %, p < 0.0001) and rs7394871 (R 2 = 4.25 %, p < 0.0001), one SNP was associated with estimates of D6D activity: rs968567 (R 2 = 2.86 %, p = 0.01) and two SNPs were associated with the index of elongase activity: rs2281591 (R 2 = 3.21 %, p = 0.008) and rs3798710 (R 2 = 2.79 %, p = 0.01). To account for the 6-week supplementation, the same statistical model was used with data post-n-3 FA supplementation as the dependent variable, adjusted for baseline data, age, sex and BMI. With the use of the stepwise bidirectional selection method, five SNPs were associated with the post-supplementation estimates of D5D activity: rs174546 (R 2 = 8.26 %, p < 0.0001), rs968567 (R 2 = 2.47 %, p = 0.004), rs7935946 (R 2 = 2.42 %, p = 0.004), rs2072114 (R 2 = 2.92 %, p = 0.001) and rs12807005 (R 2 = 1.20 %, p = 0.04); one SNP was associated with post-supplementation estimates of D6D activity: rs12807005 (R 2 = 0.92 %, p = 0.04); and none of the SNPs were associated with the index of elongase activity after an n-3 FA supplementation (data not shown) (Tables 6, 7, 8).
Table 2

Characteristics of SNPs within the FADS gene cluster and ELOVL gene family

dbSNP no.a

Sequenceb

Position

Alleles (major/minor)

n c (%)

MAF

AA

CC

CA

CG

CT

GA

GG

GT

TT

FADS1

 rs174546

TGC[C/T]TTG

3′UTR

C/T

 

103 (49.8)

  

86 (41.2)

   

10 (9.1)

T = 29.8

FADS2

 rs482548

CAC[C/T]GTG

3′UTR

C/T

 

161 (77.8)

  

40 (19.3)

   

6 (2.9)

T = 12.4

 rs2072114

TTC[A/G]GGT

Intron

A/G

167 (79.9)

    

38 (18.2)

4 (1.9)

  

G = 10.9

 rs2845573

TCA[C/T]GTT

Intron

A/G

177 (84.7)

    

30 (14.4)

2 (1.0)

  

G = 8.1

 rs174602

CCC[A/G]TCC

Intron

T/C

 

9 (4.3)

  

59 (28.2)

   

141 (67.5)

C = 18.8

 rs498793

AAC[A/G]CAG

Intron

C/T

 

62 (9.8)

  

99 (71.7)

   

43 (18.6)

T = 42.0

 rs174570

TGA[C/T]GTA

Intron

C/T

 

159 (76.4)

  

46 (22.1)

   

3 (1.4)

T = 12.4

 rs174579

TTT[C/T]CAG

Intron

C/T

 

127 (61.1)

  

78 (37.5)

   

3 (1.4)

T = 20.3

 rs174611

GGA[C/T]CCT

Intron

T/C

 

12 (5.7)

  

84 (40.2)

   

113 (54.1)

C = 25.9

 rs174616

TCA[C/T]GTT

Intron

G/A

51 (24.4)

    

158 (51.7)

50 (23.9)

  

G = 49.5

 rs968567

CGG[A/G]AGC

5′UTR

G/A

2 (1.0)

    

63 (30.1)

144 (68.9)

  

A = 7.1

 rs7935946

TTC[C/T]GGG

Intron

  

195 (93.3)

  

11 (5.3)

   

3 (1.4)

 

FADS3

 rs174456

TAC[A/C]TGG

Intron

A/C

102 (48.8)

18 (8.6)

89 (42.6)

      

C = 30.0

 rs7394871

GAC[A/C]CCT

Intron

C/A

2 (1.0)

181 (86.6)

26 (12.4)

      

A = 7.1

 rs7942717

ACG[A/G]GTG

Intron

A/G

161 (77.0)

    

47 (22.5)

1 (0.5)

  

G = 11.7

Intergenic regions within the FADS gene cluster

 rs174627

CTG[C/T]GTA

Intergenic

G/A

2 (1.0)

    

48 (23.0)

159 (76.1)

  

A = 12.6

 rs12807005

ATG[A/G]ATC

Intergenic

G/A

0 (0)

    

5 (2.4)

204 (97.6)

  

A = 1.2

 rs174448

TGA[C/T]TTC

Intergenic

A/G

78 (37.5)

    

109 (52.4)

21 (10.1)

  

G = 36.3

 rs7482316

CAA[A/G]CTG

Intergenic

A/G

168 (80.4)

    

39 (18.7)

2 (1.0)

  

G = 10.2

ELOVL2

 rs13204015

TTC[C/T]TTT

Intron

T/C

 

0 (0)

  

17 (8.1)

   

191 (91.9)

C = 4.1

 rs12195587

AAC[A/G]TAA

Exon

G/A

1 (0.5)

    

59 (28.2)

149 (71.3)

  

A = 14.6

 rs4532436

AGC[C/G]AAT

3′UTR

C/G

 

43 (21.0)

 

121 (59.0)

  

41 (20.0)

  

G = 49.5

rs3734397

CTC[A/G]GTA

3′UTR

C/G

 

129 (61.4)

   

69 (32.9)

15 (5.7)

  

G = 22.1

 rs2281591

TCT[A/G]TTT

Intron

A/G

102 (48.6)

    

93 (44.4)

15 (7.1)

  

G = 29.3

 rs3798710

TTT[C/G]AAC

Intron

C/G

 

139 (66.2)

 

62 (29.5)

  

9 (4.3)

  

G = 19.1

ELOVL5

 rs209492

TTG[C/T]TTA

Intron

T/C

 

4 (1.9)

  

47 (22.4)

   

159 (75.7)

C = 13.1

 rs2073040

AGC[A/G]GAT

Intron

A/G

82 (39.1)

    

102 (48.6)

26 (12.4)

  

G = 36.7

 rs2294852

CCA[C/G]GTT

Intron

C/G

 

59 (28.1)

 

103 (49.1)

  

48 (22.9)

  

G = 47.4

 rs9370194

GAC[C/T]GTT

Intron

C/T

 

104 (49.5)

  

96 (45.7)

   

10 (4.8)

T = 27.6

MAF Minor allele frequency from the FAS cohort, calculated with the ALLELE procedure in SAS Genetics v9.3

adbSNP no. from HapMap Data Rel 28 Phase II + III, August 10 on NCBI b36 Assembly dbSNP b126 database

bGenes sequences from dbSNP short genetics variations NCBI reference assembly

cNumber of subjects for each genotype

Table 3

Linkage disequilibrium (R 2) of the tagging SNPs within the FADS gene cluster

 

rs174546

rs12807005

rs968567

rs174570

rs2845573

rs2072114

rs174579

rs7935946

rs174602

rs498793

rs174611

rs174616

rs482548

rs174627

rs174448

rs7482316

rs7942717

rs7394871

rs174456

rs174546

 

0.016

0.424

0.304

0.159

0.223

0.568

0.054

0.229

0.04

0.452

0.287

0.047

0.232

0.363

0.067

0.021

0.037

0.222

rs12807005

0.016

 

0.007

0.005

0.003

0.004

0.01

0.001

0.007

0.02

0.003

0.001

0.029

0

0.004

0.003

0.002

0.002

0.001

rs968567

0.424

0.007

 

0.038

0.02

0.014

0.636

0

0.02

0.038

0.351

0.204

0.02

0.486

0.261

0.009

0.002

0.012

0.292

rs174570

0.304

0.005

0.038

 

0.522

0.345

0.028

0.005

0.1

0.01

0.033

0.035

0.014

0.013

0.037

0.124

0.008

0.177

0.001

rs2845573

0.159

0.003

0.02

0.522

 

0.714

0.029

0.003

0.021

0.03

0.026

0.016

0

0.008

0.015

0.154

0.007

0.357

0.002

rs2072114

0.223

0.004

0.014

0.345

0.714

 

0.04

0.242

0.004

0.001

0.036

0.031

0.008

0.006

0.037

0.191

0.018

0.249

0

rs174579

0.568

0.01

0.636

0.028

0.029

0.04

 

0.01

0.203

0.025

0.34

0.227

0.029

0.371

0.312

0.001

0.004

0.018

0.292

rs7935946

0.054

0.001

0

0.005

0.003

0.242

0.01

 

0.066

0.019

0.008

0.014

0.003

0

0.022

0.031

0.011

0.002

0.002

rs174602

0.229

0.007

0.02

0.1

0.021

0.004

0.203

0.066

 

0.002

0.11

0.123

0.021

0.005

0.199

0.094

0.085

0.013

0.034

rs498793

0.04

0.02

0.038

0.01

0.03

0.001

0.025

0.019

0.002

 

0.109

0.121

0.033

0.033

0.049

0.025

0.002

0.017

0.022

rs174611

0.452

0.003

0.351

0.033

0.026

0.036

0.34

0.008

0.11

0.109

 

0.622

0.046

0.475

0.729

0.202

0.014

0.066

0.342

rs174616

0.287

0.001

0.204

0.035

0.016

0.031

0.227

0.014

0.123

0.121

0.622

 

0.068

0.323

0.68

0.125

0.043

0.035

0.369

rs482548

0.047

0.029

0.02

0.014

0

0.008

0.029

0.003

0.021

0.033

0.046

0.068

 

0.024

0.053

0.009

0.004

0.005

0.032

rs174627

0.232

0

0.486

0.013

0.008

0.006

0.371

0

0.005

0.033

0.475

0.323

0.024

 

0.408

0.029

0.017

0.001

0.484

rs174448

0.363

0.004

0.261

0.037

0.015

0.037

0.312

0.022

0.199

0.049

0.729

0.68

0.053

0.408

 

0.174

0.098

0.053

0.568

rs7482316

0.067

0.003

0.009

0.124

0.154

0.191

0.001

0.031

0.094

0.025

0.202

0.125

0.009

0.029

0.174

 

0

0.283

0.02

rs7942717

0.021

0.002

0.002

0.008

0.007

0.018

0.004

0.011

0.085

0.002

0.014

0.043

0.004

0.017

0.098

0

 

0.003

0.161

rs7394871

0.037

0.002

0.012

0.177

0.357

0.249

0.018

0.002

0.013

0.017

0.066

0.035

0.005

0.001

0.053

0.283

0.003

 

0.02

rs174456

0.222

0.001

0.292

0.001

0.002

0

0.292

0.002

0.034

0.022

0.342

0.369

0.032

0.484

0.568

0.02

0.161

0.02

 
Table 4

Linkage disequilibrium (R 2) of the tagging SNPs within the ELOVL2 gene

 

rs4532436

rs12195587

rs2281591

rs911196

rs976081

rs13204015

rs4532436

 

0.169

0.372

0.301

0.237

0.061

rs12195587

0.169

 

0.063

0.051

0.056

0.297

rs2281591

0.372

0.063

 

0.08

0.088

0.023

rs911196

0.301

0.051

0.08

 

0.071

0.019

rs976081

0.237

0.056

0.088

0.071

 

0.001

rs13204015

0.061

0.297

0.023

0.019

0.001

 
Table 5

Linkage disequilibrium (R 2) of the tagging SNPs within the ELOVL5 gene cluster

 

rs2073040

rs2294852

rs9370194

rs209492

rs2073040

 

0.576

0.737

0.153

rs2294852

0.576

 

0.423

0.067

rs9370194

0.737

0.423

 

0.02

rs209492

0.153

0.067

0.02

 
Table 6

δ-5 Desaturase indexes (AA:DGLA) after a 6-week n-3 PUFA supplementation according to genotype for each SNPs of the FADS gene cluster (n = 208)

 

Pre-n-3 PUFA D5D activitya

Post-n-3 PUFA D5D activitya

p values

11

12 or 12 + 22

22

11

12 or 12 + 22

22

SNPs

Suppl.

Interaction

FADS1

 rs174546

4.132 ± 1.179

3.166 ± 0.807

2.376 ± 0.572

4.787 ± 1.138

4.091 ± 1.123

3.086 ± 0.739

<0.0001

<0.0001

0.20

FADS2

 rs498793

3.457 ± 1.413

3.567 ± 1.076

3.816 ± 0.815

4.317 ± 1.291

4.383 ± 1.178

4.304 ± 1.391

0.09

<0.0001

0.63

 rs174579

3.860 ± 1.222

3.130 ± 0.886

4.575 ± 1.282

3.981 ± 1.108

<0.0001

<0.0001

0.32

 rs174611

2.934 ± 0.760

3.209 ± 0.949

3.919 ± 1.226

4.544 ± 1.152

4.167 ± 1.385

3.735 ± 0.666

<0.0001

<0.0001

0.08

 rs174616

3.272 ± 1.203

3.563 ± 1.162

3.904 ± 0.019

4.485 ± 1.098

4.469 ± 1.298

3.948 ± 1.129

0.04

<0.0001

0.09

FADS3

 rs174456

3.706 ± 0.993

3.377 ± 1.106

3.767 ± 1.951

4.468 ± 1.258

4.187 ± 1.154

4.436 ± 1.592

0.07

<0.0001

0.86

Intergenic regions

 rs174627

3.732 ± 1.200

3.080 ± 0.847

4.444 ± 1.251

4.017 ± 1.194

0.0006

<0.0001

0.14

 rs12807005

3.569 ± 1.150

3.700 ± 1.547

4.360 ± 1.257

3.609 ± 0.488

0.56

0.02

0.07

 rs174448

3.859 ± 0.990

3.526 ± 1.268

2.800 ± 0.717

4.539 ± 1.113

4.327 ± 1.372

3.681 ± 0.792

0.001

<0.0001

0.59

Repeated MIXED procedure implemented in S.A.S statistical software v. 9.3 adjusted for age, sex and BMI

aValues are mean ± SD

Table 7

δ-6 Desaturase indexes (DGLA:LA) after a 6-week n-3 PUFA supplementation according to genotype for each SNPs of the FADS gene cluster

 

Pre-n-3 PUFA D6D activitya

Post-n-3 PUFA D6D activitya

p values

11

12 or 12 + 22

22

11

12 or 12 + 22

22

SNPs

Suppl.

Interaction

FADS1

 rs174546

0.160 ± 0.043

0.179 ± 0.046

0.180 ± 0.054

0.132 ± 0.038

0.143 ± 0.042

0.142 ± 0.041

0.02

<0.0001

0.23

FADS2

 rs498793

0.172 ± 0.049

0.169 ± 0.042

0.169 ± 0.054

0.138 ± 0.044

0.134 ± 0.037

0.145 ± 0.045

0.64

<0.0001

0.51

 rs174579

0.166 ± 0.044

0.176 ± 0.048

0.135 ± 0.041

0.141 ± 0.040

0.04

<0.0001

0.23

 rs174611

0.165 ± 0.050

0.179 ± 0.048

0.163 ± 0.043

0.137 ± 0.039

0.139 ± 0.043

0.132 ± 0.035

0.23

<0.0001

0.01

 rs174616

0.178 ± 0.045

0.168 ± 0.048

0.164 ± 0.043

0.139 ± 0.036

0.132 ± 0.041

0.147 ± 0.043

0.34

<0.0001

0.11

FADS3

 rs174456

0.166 ± 0.042

0.172 ± 0.051

0.177 ± 0.044

0.136 ± 0.039

0.137 ± 0.041

0.143 ± 0.048

0.73

<0.0001

0.57

Intergenic regions

 rs174627

0.167 ± 0.045

0.178 ± 0.048

0.137 ± 0.041

0.137 ± 0.037

0.29

<0.0001

0.02

 rs12807005

0.170 ± 0.046

0.177 ± 0.035

0.137 ± 0.041

0.163 ± 0.033

0.29

<0.0001

0.20

 rs174448

0.162 ± 0.041

0.172 ± 0.049

0.184 ± 0.047

0.135 ± 0.037

0.139 ± 0.044

0.140 ± 0.037

0.30

<0.0001

0.09

Repeated MIXED procedure implemented in S.A.S statistical software v. 9.3 adjusted for age, sex and BMI

aValues are mean ± SD

Table 8

Index of elongase activity (22:4n-6/20:4n-6) after a 6-week n-3 PUFA supplementation according to genotype for each SNPs of the ELOVL gene family

 

Pre-n-3 PUFA index of elongase activitya

Post-n-3 PUFA index of elongase activitya

p values

11

12 or 12 + 22

22

11

12 or 12 + 22

22

SNPs

Suppl.

Interaction

ELOVL2

 rs13204015

3.06E−2±0.53E−2

3.20E−2±0.65E−2

2.09E−2±0.64E−2

1.92E−2±0.96E−2

0.89

<0.0001

0.15

 rs12195587

3.23E−2±0.62E−2

3.08E−2±0.69E−2

1.88E−2±0.96E−2

2.04E−2±0.86E−2

0.98

0.0005

0.02

 rs4532436

3.01E−2±0.49E−2

3.18E−2−2±0.66E−2

3.40E−2±0.68E−2

1.89E−2±0.75E−2

1.97E−2±0.96E−2

1.86E−2±1.04E−2

0.52

<0.0001

0.05

 rs3734397

3.20E−2±0.67E−2

3.22E−2±0.56E−2

2.87E−2±0.65E−2

1.93E−2±0.99E−2

2.00E−2±0.81E−2

1.51E−2±0.95E−2

0.11

<0.0001

0.85

 rs2281591

3.20E−2±0.62E−2

3.11E−2±0.65E−2

3.64E−2±0.52E−2

2.05E−2±0.89E−2

1.76E−2±0.95E−2

2.22E−2±0.99E−2

0.01

<0.0001

0.22

 rs3798710

3.14E−2±0.61E−2

3.29E−2±0.69E−2

1.89E−2±0.90E−2

2.01E−2±1.00E−2

0.06

<0.0001

0.83

ELOVL5

 rs209492

3.17E−2−2±0.62E−2

3.24E−2±0.69E−2

1.91E−2±0.92E−2

1.99E−2±0.98E−2

0.45

<0.0001

0.94

 rs2073040

3.18E−2±0.65E−2

3.19E−2±0.61E−2

3.22E−2±0.72E−2

1.83E−2±1.05E−2

1.97E−2±0.87E−2

2.07E−2±0.75E−2

0.63

<0.0001

0.43

 rs2294852

3.15E−2±0.73E−2

3.22E−2±0.60E−2

3.16E−2±0.61E−2

1.84E−2±1.01E−2

1.95E−2±0.96E−2

2.00E−2±0.78E−2

0.83

<0.0001

0.62

 rs9370194

3.21E−2±0.67E−2

3.17E−2±0.61E−2

1.87E−2±1.07E−2

1.98E−2±0.79E−2

0.98

<0.0001

0.20

Repeated MIXED procedure implemented in S.A.S statistical software v. 9.3 adjusted for age, sex, and BMI

aValues are mean ± SD

In a MIXED model for repeated measures including the effects of time (supplementation), genotype and the interaction (genotype × supplementation) adjusted for age, sex and BMI, ten SNPs of the FADS gene cluster (rs174546, rs2072114, rs2845573, rs174570, rs174579, rs174611, rs174616, rs968567, rs174627 and rs174448) were associated with estimates of D5D activity (p < 0.04, for all). Three SNPs were associated with surrogate estimates of D6D activity (rs174546, rs175579 and rs968567, p < 0.04, for all), and one SNP was associated with the index of elongase activity: rs2281591 (p = 0.01) (Tables 6, 7, 8). Results in Tables 6, 7, and 8 were only provided for frequent SNPs with MAFs >20 % and/or for significant gene–diet interaction effects. Some gene–diet interaction effects with SNPs within the FADS gene cluster or the ELOVL gene family were found and could potentially modulate the enzyme activities of desaturases and elongases following the n-3 FA supplementation. Two gene–diet interactions on D6D activities were found with SNPs of the FADS gene cluster for rs174611 (p = 0.01) and rs174627 (p = 0.02) after the n-3 FA supplementation, and two gene–diet interactions on the elongase activity were also found with SNPs of the ELOVL gene family for rs12195587 (p = 0.02) and rs4532436 (p = 0.05) (Fig. 2).
Fig. 2

Gene–diet interaction effects modulating indexes of enzyme activities after an n-3 fatty acid supplementation

Discussion

In this study, we tested whether a 6-week supplementation with high doses of n-3 FA above 3 g/day led to differences in enzyme activities expressed as surrogate estimates of D5D and D6D activities and index of elongase activity, as well as if SNPs of genes encoding for these enzymes modulate the enzyme activity following a 6-week n-3 FA supplementation. To do so, 28 SNPs were selected from five genes (FADS1, FADS2, FADS3, ELOVL2 and ELOVL5) covering at least 85 % of the common genetic variations.

In the present study, a decrease in plasma levels of n-6 FAs (LA, DGLA, AA and adrenic acid) was observed as well as a decrease in plasma levels of ALA, an essential n-3 FA that is also the precursor for the synthesis of EPA and DHA. Subsequently, an increase in the estimate of D5D activity and a decrease in the estimate of D6D activity and the index of elongase activity were observed. D5D activity was negatively associated with cardio-metabolic risk factors, while D6D activity was positively associated. Minor alleles of some SNPs in the FADS gene cluster are associated with higher D6D activity and with lower D5D activity in French Canadians while minor allele of SNPs from the ELOVL gene family are associated with higher elongase activity following a 6-week supplementation with 5 g/day of fish oil.

The endogenous synthesis of LC-PUFAs is made possible by concerted actions between elongases and desaturases. Index of elongase activity has been much less extensively studied in the context of CVD than desaturase activity was, but Sethom et al. (2011) have shown that elongase and D5D activities tended to decrease according to the number of metabolic syndrome features in Tunisian patients (Sethom et al. 2011). In the current study, we observed a significant increase of D5D activity following an n-3 FA supplementation meaning that the n-3 FA supplementation may exert beneficial effects on CVD risk factors thus potentially impacting on obesity and metabolic syndrome features. A recent study suggested that fatty acid elongase-5 (encoded by ELOVL5 gene) plays a key role in regulating hepatic lipid and carbohydrate metabolism (Wang et al. 2008). Fatty acid elongase-5 elongates γ-linolenic acid (GLA, C18:3n-6) to form DGLA (C20:3n-6) which is converted to AA (C20:4n-6) by the D5D (FADS1) in the n-6 metabolism (Moon et al. 2009; Qin et al. 2009).

There is a competition between ALA and C24:5n-3 (tetracosapentaenoic acid) for the D6D, which could lead to decreased levels of DHA after certain intakes of dietary ALA (Gregory et al. 2011). However, in the present study, EPA + DHA was given directly via fish oil supplements, increasing considerably DHA intake and favoring the incorporation of n-3 FA in plasma phospholipids at the expense of the incorporation of n-6 s. Thus, we hypothesized that the D6D (FADS2) is more likely to be used to convert ALA in C18:4n-3 as shown by decreased ALA levels in plasma phospholipids (Table 1). Gregory et al. (2011)also observed a saturation of the second FA elongase-2 reaction (DPA, C22:5n-3 → C24:5n3) that could potentially explain the accumulation of DPA when EPA is provided in the diet. In the present study, plasma phospholipid EPA levels increased by 330.0 ± 214.1 % after the 6-week supplementation and DPA increased by 49.0 ± 36.8 % (Table 1).

Since D6D is the rate-limiting enzyme in the PUFA metabolism (Sprecher 2002) and is not specific to a single pathway, one could pretend that giving high doses of n-3 possibly activates the n-3 FA pathway and favors the incorporation of n-3 FAs at the expense of the incorporation of n-6 FAs. Moreover, the use of D6D twice in the conversion of LC-PUFAs suggests that this enzyme may play a key regulatory role in the PUFA metabolism (Portolesi et al. 2008).

In the present study, we found two gene–diet interactions with SNPs from the FADS gene cluster and the n-3 FA supplementation modulating surrogate estimates of D6D activity where carriers of the minor allele had the lowest activity. Warensjo et al. confirmed that estimates of D5D activity are inversely related to obesity and insulin resistance, whereas D6D activity shows positive associations (Warensjo et al. 2009). Increased estimates of D6D activities and decreased estimates of D5D and elongase activities were also associated with adverse profiles of several metabolic risk factors in a group of free-living young Japanese women (Murakami et al. 2008). After the 6-week n-3 FA supplementation, we observed an increase in the estimates of D5D activity and a decrease in the estimates of D6D activity meaning that n-3 FA supplements may be beneficial in the prevention of obesity and insulin resistance. SNPs within the FADS gene cluster are believed to alter desaturase activity as shown in a recent paper by Merino et al. (2011), especially rs175547 (in high LD with rs174546, r 2 = 1.0) thought to be a causal SNP in the FADS gene cluster (Merino et al. 2011). Herein, minor allele homozygotes of all SNPs (or minor allele homozygotes + heterozygotes for SNPs included in the dominant model) that were associated with estimates of D5D activity always exhibited the lowest desaturase activity after the 6-week n-3 FA supplementation, suggesting that they may be at higher risk to develop obesity-related metabolic complications.

Previous studies have also reported associations between SNPs within the FADS gene cluster and estimates of desaturase activities (Bokor et al. 2010; Martinelli et al. 2008). Recently, Gillingham et al. (2013) have studied the effects of diets enriched in flaxseed oil or high-oleic acid canola oil and SNPs from FADS1-2 genes on plasma FAs and found several SNPs associated with [U-13C]ALA metabolism, a precise measure of desaturase activity. Al-Hilal et al. (2013) have shown that genotypes of three SNPs located in the FADS1/FADS2 gene cluster were strongly associated with proportions of LC-PUFAs and desaturase activities estimated in plasma and in erythrocytes. The same research group has also shown that a higher EPA + DHA dosage reduced n-6 and increased n-3 LC-PUFA proportions and that D5D desaturase activity increased which is concomitant with results observed here (Al-Hilal et al. 2013). In the present study, we have found three significant gene–diet interactions after a 6-week n-3 FA supplementation. In addition, some SNPs were associated with indexes of desaturase or elongase activities independently of the supplementation.

Strengths and limitations

Indexes of desaturase and elongase activities were estimated using product-to-precursor ratios as surrogate markers of desaturase or elongase activities, because direct measures were not possible. The quantification of the GLA FA was not feasible resulting from low proportions of that specific FA in plasma phospholipids. Although there is an elongation step comprise in the (20:3n-6)/(18:2n-6) ratio, it should be noted that this is not considered as the rate-limiting step in the n-6 Fas synthesis. Consequently, the (20:3n-6)/(18:2n-6) ratio was considered as good estimates and was used to assess the estimate of D6D activity (Bokor et al. 2010; Krachler et al. 2008; Warensjo et al. 2008). Indexes of desaturase and elongase activities depend not only on enzyme activities, but also on PUFA intake.

Conclusions

In summary, a 6-week fish oil supplementation decreased plasma levels of n-6 and increased plasma n-3 FA levels impacting desaturase and elongase activities. Genetic predispositions on genes coding for these enzymes may lead to more or less LC-PUFA conversion depending on the genotype. Some SNPs of the FADS gene cluster and the ELOVL gene family may play an important role in the enzyme activity of desaturases and elongases, suggesting that a supplementation with n-3 FA may affect PUFA metabolism.

Abbreviations

FADS1

Fatty acid desaturase 1

FADS2

Fatty acid desaturase 2

FADS3

Fatty acid desaturase 3

ELOVL2

Fatty acid elongase 2

ELOVL5

Fatty acid elongase 5

n-3: 

Omega-3

n-6: 

Omega-6

n-9: 

Omega-9

MAF: 

Minor allele frequency

ALA: 

Alpha-linolenic

D5D: 

δ-5 Desaturase

D6D: 

δ-6 Desaturase

DHA: 

Docosahexaenoic acid

EPA: 

Eicosapentaenoic acid

AA: 

Arachidonic acid

LC: 

Long chain

UTR: 

Untranslated region

FA: 

Fatty acid

PUFA: 

Polyunsaturated fatty acids

BMI: 

Body mass index

DGLA: 

Dihomo-γ-linolenic acid

LA: 

Linoleic acid

GLA: 

γ-Linolenic acid

Declarations

Acknowledgments

We thank Catherine Raymond, Ann-Marie Paradis, Élisabeth Thifault, Catherine Ouellette, Véronique Garneau, Frédéric Guénard and Annie Bouchard-Mercier who contributed to the success of this study. This work was supported by an operating grant from the Canadian Institutes of Health Research (CIHR) (MOP-110975). Hubert Cormier is the recipient of the Frederick Banting and Charles Best Canada Graduate Scholarships Doctoral Awards from the Canadian Institutes of Health Research (CIHR). Iwona Rudkowska is recipient of a scholarship from the Fonds de recherche du QuébecSanté. Marie-Claude Vohl holds a Canada Research Chair in Genomics Applied to Nutrition and Health.

Conflict of interest

Hubert Cormier, Iwona Rudkowska, Simone Lemieux, Patrick Couture, Pierre Julien, and Marie-Claude Vohl declare no conflict of interest.

Ethical standard

The ethics committees of Laval University Hospital Research Center and Laval University approved the experimental protocol. This clinical trial was registered at clinicaltrials.gov (NCT01343342).

Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

Authors’ Affiliations

(1)
Institute of Nutrition and Functional Foods (INAF), Laval University
(2)
School of Nutrition, Laval University
(3)
Department of Kinesiology, Laval University
(4)
Endocrinology and Nephrology, CHU de Québec Research Center

References

  1. Al-Hilal M et al (2013) Genetic variation at the FADS1-FADS2 gene locus influences delta-5 desaturase activity and LC-PUFA proportions after fish oil supplement. J Lipid Res 54:542–551. doi:https://doi.org/10.1194/jlr.P032276 PubMed CentralPubMedView ArticleGoogle Scholar
  2. Bokor S et al (2010) Single nucleotide polymorphisms in the FADS gene cluster are associated with delta-5 and delta-6 desaturase activities estimated by serum fatty acid ratios. J Lipid Res 51:2325–2333. doi:https://doi.org/10.1194/jlr.M006205 PubMed CentralPubMedView ArticleGoogle Scholar
  3. Calder PC (2009) Polyunsaturated fatty acids and inflammatory processes: new twists in an old tale. Biochimie 91:791–795. doi:https://doi.org/10.1016/j.biochi.2009.01.008 PubMedView ArticleGoogle Scholar
  4. Cormier H et al (2012) Association between polymorphisms in the fatty acid desaturase gene cluster and the plasma triacylglycerol response to an n-3 PUFA supplementation. Nutrients 4:1026–1041. doi:https://doi.org/10.3390/nu4081026 PubMed CentralPubMedView ArticleGoogle Scholar
  5. D’Andrea S et al (2002) The same rat Delta6-desaturase not only acts on 18-but also on 24-carbon fatty acids in very-long-chain polyunsaturated fatty acid biosynthesis. Biochem J 364:49–55PubMed CentralPubMedGoogle Scholar
  6. Das UN (2007) A defect in the activity of Delta6 and Delta5 desaturases may be a factor in the initiation and progression of atherosclerosis. Prostaglandins Leukot Essent Fatty Acids 76:251–268. doi:https://doi.org/10.1016/j.plefa.2007.03.001 PubMedView ArticleGoogle Scholar
  7. Eating Well with Canada’s Food Guide (2007) Health CanadaGoogle Scholar
  8. Gillingham LG, Harding SV, Rideout TC, Yurkova N, Cunnane SC, Eck PK, Jones PJ (2013) Dietary oils and FADS1-FADS2 genetic variants modulate [13C]alpha-linolenic acid metabolism and plasma fatty acid composition. Am J Clin Nutr 97:195–207. doi:https://doi.org/10.3945/ajcn.112.043117 PubMedView ArticleGoogle Scholar
  9. Gregory MK, Gibson RA, Cook-Johnson RJ, Cleland LG, James MJ (2011) Elongase reactions as control points in long-chain polyunsaturated fatty acid synthesis. PLoS ONE 6:e29662. doi:https://doi.org/10.1371/journal.pone.0029662 PubMed CentralPubMedView ArticleGoogle Scholar
  10. Harris WS (2006) The omega-6/omega-3 ratio and cardiovascular disease risk: uses and abuses. Current atherosclerosis reports 8:453–459PubMedView ArticleGoogle Scholar
  11. Jakobsson A, Westerberg R, Jacobsson A (2006) Fatty acid elongases in mammals: their regulation and roles in metabolism. Prog Lipid Res 45:237–249. doi:https://doi.org/10.1016/j.plipres.2006.01.004 PubMedView ArticleGoogle Scholar
  12. Krachler B et al (2008) Fatty acid profile of the erythrocyte membrane preceding development of type 2 diabetes mellitus. Nutr Metabol Cardiovasc Dis NMCD 18:503–510. doi:https://doi.org/10.1016/j.numecd.2007.04.005 View ArticleGoogle Scholar
  13. Lemaitre RN et al (2011) Genetic loci associated with plasma phospholipid n-3 fatty acids: a meta-analysis of genome-wide association studies from the CHARGE Consortium. PLoS Genet 7:e1002193. doi:https://doi.org/10.1371/journal.pgen.1002193 PubMed CentralPubMedView ArticleGoogle Scholar
  14. Lepage G, Roy CC (1986) Direct transesterification of all classes of lipids in a one-step reaction. J Lipid Res 27:114–120PubMedGoogle Scholar
  15. Livak KJ (1999) Allelic discrimination using fluorogenic probes and the 5′ nuclease assay. Genet Anal Biomol Eng 14:143–149View ArticleGoogle Scholar
  16. Malerba G et al (2008) SNPs of the FADS gene cluster are associated with polyunsaturated fatty acids in a cohort of patients with cardiovascular disease. Lipids 43:289–299. doi:https://doi.org/10.1007/s11745-008-3158-5 PubMedView ArticleGoogle Scholar
  17. Martinelli N et al (2008) FADS genotypes and desaturase activity estimated by the ratio of arachidonic acid to linoleic acid are associated with inflammation and coronary artery disease. Am J Clin Nutr 88:941–949PubMedGoogle Scholar
  18. Martinelli N, Consoli L, Olivieri O (2009) A ‘desaturase hypothesis’ for atherosclerosis: Janus-faced enzymes in omega-6 and omega-3 polyunsaturated fatty acid metabolism. J Nutrigenet Nutrigenomics 2:129–139. doi:https://doi.org/10.1159/000238177 PubMedView ArticleGoogle Scholar
  19. Merino DM et al (2011) Polymorphisms in FADS1 and FADS2 alter desaturase activity in young Caucasian and Asian adults. Mol Genet Metab 103:171–178. doi:https://doi.org/10.1016/j.ymgme.2011.02.012 PubMedView ArticleGoogle Scholar
  20. Moon YA, Hammer RE, Horton JD (2009) Deletion of ELOVL5 leads to fatty liver through activation of SREBP-1c in mice. J Lipid Res 50:412–423. doi:https://doi.org/10.1194/jlr.M800383-JLR200 PubMed CentralPubMedView ArticleGoogle Scholar
  21. Murakami K et al (2008) Lower estimates of delta-5 desaturase and elongase activity are related to adverse profiles for several metabolic risk factors in young Japanese women. Nutr Res 28:816–824. doi:https://doi.org/10.1016/j.nutres.2008.08.009 PubMedView ArticleGoogle Scholar
  22. Portolesi R, Powell BC, Gibson RA (2007) Competition between 24:5n-3 and ALA for Delta 6 desaturase may limit the accumulation of DHA in HepG2 cell membranes. J Lipid Res 48:1592–1598. doi:https://doi.org/10.1194/jlr.M700081-JLR200 PubMedView ArticleGoogle Scholar
  23. Portolesi R, Powell BC, Gibson RA (2008) Delta6 desaturase mRNA abundance in HepG2 cells is suppressed by unsaturated fatty acids. Lipids 43:91–95. doi:https://doi.org/10.1007/s11745-007-3122-9 PubMedView ArticleGoogle Scholar
  24. Qin Y, Dalen KT, Gustafsson JA, Nebb HI (2009) Regulation of hepatic fatty acid elongase 5 by LXRalpha-SREBP-1c. Biochim Biophys Acta 1791:140–147. doi:https://doi.org/10.1016/j.bbalip.2008.12.003 PubMedView ArticleGoogle Scholar
  25. Sethom MM et al (2011) Plasma fatty acids profile and estimated elongase and desaturases activities in Tunisian patients with the metabolic syndrome. Prostaglandins Leukot Essent Fatty Acids 85:137–141. doi:https://doi.org/10.1016/j.plefa.2011.06.006 PubMedView ArticleGoogle Scholar
  26. Shaikh NA, Downar E (1981) Time course of changes in porcine myocardial phospholipid levels during ischemia. A reassessment of the lysolipid hypothesis. Circ Res 49:316–325PubMedView ArticleGoogle Scholar
  27. Simopoulos AP (2008) The importance of the omega-6/omega-3 fatty acid ratio in cardiovascular disease and other chronic diseases. Exp Biol Med 233:674–688. doi:https://doi.org/10.3181/0711-MR-311 View ArticleGoogle Scholar
  28. Sprecher H (2002) The roles of anabolic and catabolic reactions in the synthesis and recycling of polyunsaturated fatty acids. Prostaglandins Leukot Essent Fatty Acids 67:79–83PubMedView ArticleGoogle Scholar
  29. Tanaka T et al (2009) Genome-wide association study of plasma polyunsaturated fatty acids in the InCHIANTI Study. PLoS Genet 5:e1000338. doi:https://doi.org/10.1371/journal.pgen.1000338 PubMed CentralPubMedView ArticleGoogle Scholar
  30. Wang Y, Torres-Gonzalez M, Tripathy S, Botolin D, Christian B, Jump DB (2008) Elevated hepatic fatty acid elongase-5 activity affects multiple pathways controlling hepatic lipid and carbohydrate composition. J Lipid Res 49:1538–1552. doi:https://doi.org/10.1194/jlr.M800123-JLR200 PubMed CentralPubMedView ArticleGoogle Scholar
  31. Warensjo E, Riserus U, Gustafsson IB, Mohsen R, Cederholm T, Vessby B (2008) Effects of saturated and unsaturated fatty acids on estimated desaturase activities during a controlled dietary intervention. Nutr Metab Cardiovasc Dis NMCD 18:683–690. doi:https://doi.org/10.1016/j.numecd.2007.11.002 View ArticleGoogle Scholar
  32. Warensjo E, Rosell M, Hellenius ML, Vessby B, De Faire U, Riserus U (2009) Associations between estimated fatty acid desaturase activities in serum lipids and adipose tissue in humans: links to obesity and insulin resistance. Lipids Health Dis 8:37. doi:https://doi.org/10.1186/1476-511X-8-37 PubMed CentralPubMedView ArticleGoogle Scholar

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