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Association of oily fish intake, sex, age, BMI and APOE genotype with plasma long-chain n-3 fatty acid composition

Published online by Cambridge University Press:  06 May 2018

Helena L. Fisk*
Affiliation:
Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
Michael Irvine
Affiliation:
Norwich Medical School, The Faculty of Medicine and Health Sciences, University of East Anglia, Norwich NR4 7TJ, UK
Elizabeth A. Miles
Affiliation:
Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
Georg Lietz
Affiliation:
Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
John C. Mathers
Affiliation:
Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
Chris J. Packard
Affiliation:
College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
Christopher K. Armah
Affiliation:
The School of Chemistry, Food Biosciences and Pharmacy, University of Reading, Reading RG6 6AP, UK
Bettina M. Kofler
Affiliation:
The School of Chemistry, Food Biosciences and Pharmacy, University of Reading, Reading RG6 6AP, UK
Peter J. Curtis
Affiliation:
Norwich Medical School, The Faculty of Medicine and Health Sciences, University of East Anglia, Norwich NR4 7TJ, UK
Anne M. Minihane
Affiliation:
Norwich Medical School, The Faculty of Medicine and Health Sciences, University of East Anglia, Norwich NR4 7TJ, UK
Philip C. Calder
Affiliation:
Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK The National Institute for Health Research Southampton Biomedical Research Centre, University Hospital Southampton National Health Service Foundation Trust and University of Southampton, Southampton SO16 6YD, UK
*
*Corresponding author: H. L. Fisk, email h.fisk@soton.ac.uk
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Abstract

n-3 Fatty acids are associated with better cardiovascular and cognitive health. However, the concentration of EPA, DPA and DHA in different plasma lipid pools differs and factors influencing this heterogeneity are poorly understood. Our aim was to evaluate the association of oily fish intake, sex, age, BMI and APOE genotype with concentrations of EPA, DPA and DHA in plasma phosphatidylcholine (PC), NEFA, cholesteryl esters (CE) and TAG. Healthy adults (148 male, 158 female, age 20–71 years) were recruited according to APOE genotype, sex and age. The fatty acid composition was determined by GC. Oily fish intake was positively associated with EPA in PC, CE and TAG, DPA in TAG, and DHA in all fractions (P≤0·008). There was a positive association between age and EPA in PC, CE and TAG, DPA in NEFA and CE, and DHA in PC and CE (P≤0·034). DPA was higher in TAG in males than females (P<0·001). There was a positive association between BMI and DPA and DHA in TAG (P<0·006 and 0·02, respectively). APOE genotype×sex interactions were observed: the APOE4 allele associated with higher EPA in males (P=0·002), and there was also evidence for higher DPA and DHA (P≤0·032). In conclusion, EPA, DPA and DHA in plasma lipids are associated with oily fish intake, sex, age, BMI and APOE genotype. Such insights may be used to better understand the link between plasma fatty acid profiles and dietary exposure and may influence intake recommendations across population subgroups.

Information

Type
Full Papers
Copyright
© The Authors 2018 
Figure 0

Fig. 1 Absolute concentrations (µg/ml) of EPA in phosphatidylcholine (PC), NEFA, cholesteryl esters (CE) and TAG lipid fractions in male and female subjects according to APOE genotype. Distribution of participants in each APOE allele group are as follows; PC: males: E2/E2=1, E2/E3=32, E3/E3=40, E3/E4=51 and E4/E4=2, total: 126. PC: females: E2/E2=3, E2/E3=39, E3/E3=44, E3/E4=43 and E4/E4=10, total: 139. NEFA: males: E2/E2=2, E2/E3=29, E3/E3=45, E3/E4=50 and E4/E4=2, total: 128. NEFA: females: E2/E2=3, E2/E3=42, E3/E3=44, E3/E4=45 and E4/E4=10, total: 144. CE: males: E2/E2=2, E2/E3=33, E3/E3=50, E3/E4=52 and E4/E4=2, total: 139. CE: females: E2/E2=3, E2/E3=44, E3/E3=48, E3/E4=49 and E4/E4=10, total: 154. TAG: males: E2/E2=2, E2/E3=32, E3/E3=50, E3/E4=53 and E4/E4=2, total: 139. TAG: females: E2/E2=3, E2/E3=45, E3/E3=49, E3/E4=48 and E4/E4=10, total: 155. , APOE2; , APOE3; , APOE4. * P<0·050. † P=0·053. P values were obtained using log10 data in univariate general linear model (GLM) analysis controlling for covariates (age, BMI and oily fish intake). Where there was a significant association with APOE genotype, significance between specific APOE alleles was assessed using parameter estimates obtained from the GLM results.

Figure 1

Fig. 2 Absolute concentrations (µg/ml) of DPA in phosphatidylcholine (PC), NEFA, cholesteryl esters (CE) and TAG lipid fractions in male and female subjects according to APOE genotype. Distribution of participants in each APOE allele group are as follows; PC: males: E2/E2=1, E2/E3=32, E3/E3=40, E3/E4=51 and E4/E4=2, total: 126. PC: females: E2/E2=3, E2/E3=39, E3/E3=44, E3/E4=43 and E4/E4=10, total: 139. NEFA: males: E2/E2=2, E2/E3=29, E3/E3=45, E3/E4=50 and E4/E4=2, total: 128. NEFA: females: E2/E2=3, E2/E3=42, E3/E3=44, E3/E4=45 and E4/E4=10, total: 144. CE: males: E2/E2=2, E2/E3=33, E3/E3=50, E3/E4=52 and E4/E4=2, total: 139. CE: females: E2/E2=3, E2/E3=44, E3/E3=48, E3/E4=49 and E4/E4=10, total: 154. TAG: males: E2/E2=2, E2/E3=32, E3/E3=50, E3/E4=53 and E4/E4=2, total: 139. TAG: females: E2/E2=3, E2/E3=45, E3/E3=49, E3/E4=48 and E4/E4=10, total: 155. , APOE2; , APOE3; , APOE4. * P<0·050. † P=0·053. P values were obtained using log10 data in univariate general linear model (GLM) analysis controlling for covariates (age, BMI and oily fish intake). Where there was a significant association with APOE genotype, significance between specific APOE alleles was assessed using parameter estimates obtained from the GLM results.

Figure 2

Fig. 3 Absolute concentrations (µg/ml) of DHA in phosphatidylcholine (PC), NEFA, cholesteryl esters (CE) and TAG lipid fractions in male and female subjects according to APOE genotype. Distribution of participants in each APOE allele group are as follows; PC: males: E2/E2=1, E2/E3=32, E3/E3=40, E3/E4=51 and E4/E4=2, total: 126. PC: females: E2/E2=3, E2/E3=39, E3/E3=44, E3/E4=43 and E4/E4=10, total: 139. NEFA: males: E2/E2=2, E2/E3=29, E3/E3=45, E3/E4=50 and E4/E4=2, total: 128. NEFA: females: E2/E2=3, E2/E3=42, E3/E3=44, E3/E4=45 and E4/E4=10, total: 144. CE: males: E2/E2=2, E2/E3=33, E3/E3=50, E3/E4=52 and E4/E4=2, total: 139. CE: females: E2/E2=3, E2/E3=44, E3/E3=48, E3/E4=49 and E4/E4=10, total: 154. TAG: males: E2/E2=2, E2/E3=32, E3/E3=50, E3/E4=53 and E4/E4=2, total: 139. TAG: females: E2/E2=3, E2/E3=45, E3/E3=49, E3/E4=48 and E4/E4=10, total: 155. , APOE2; , APOE3; , APOE4. * P=0·021. P values were obtained using log10 data in univariate general linear model (GLM) analysis controlling for covariates (age, BMI and oily fish intake). Where there was a significant association with APOE genotype, significance between specific APOE alleles was assessed using parameter estimates obtained from the GLM results.

Figure 3

Table 1 EPA, DPA and DHA in the plasma lipid fractions and statistical significance (P) of the association of oily fish intake, sex, age and BMI on absolute and relative concentrations of these LC n-3 PUFA* (Medians and 25th, 75th percentiles)

Figure 4

Table 2 Statistical significance (P) of the associations between oily fish intake, sex, age, BMI and long-chain (LC) n-3 PUFA in males and females*

Figure 5

Table 3 Blood cholesterol (mmol/l) concentration according to sex, age, BMI, APOE genotype and oily fish intake (Mean values with their standard errors)

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