Plasma fatty acid patterns reflect dietary habits and metabolic health: A cross-sectional study

Kaifeng Li; Lorraine Brennan; Breige A. McNulty; Jack F. Bloomfield; Dan J. Duff; Niamh F.C. Devlin; Michael J. Gibney; Albert Flynn; Janette Walton; Anne P. Nugent

doi:10.1002/mnfr.201500711

Plasma fatty acid patterns reflect dietary habits and metabolic health: A cross-sectional study

Kaifeng Li
, Lorraine Brennan
, Breige A. McNulty
, Jack F. Bloomfield
, Dan J. Duff
, Niamh F.C. Devlin
, Michael J. Gibney
, Albert Flynn
, Janette Walton
, Anne P. Nugent

Research output: Contribution to journal › Article › peer-review

Abstract

SCOPE: Using pattern analysis, we investigated the relationship between plasma fatty acid patterns, dietary intake, and biomarkers of metabolic health using data from the Irish National Adult Nutrition Survey.

METHODS AND RESULTS: Plasma fatty acid patterns were derived from 26 plasma fatty acids using k-means cluster analysis. Four clusters were identified, each with a distinct fatty acid profile. Cluster 1 included high proportions of linoleic acid (LA) and low proportions of stearic acid (SA); cluster 2 was higher in n-3 polyunsaturated fatty acids and SA; the profile of cluster 3 was higher in very-long-chain saturated fatty acid (VLCSFA) and lower in α-linolenic acid (ALA) (cluster 3); while cluster 4 was higher in fatty acids related to de novo lipogenesis and 20:3n-6 and lower in LA (cluster 4). In general, cluster 4 was associated with adverse metabolic profile and higher metabolic risk (p < 0.033). Clusters 2 and 3 were associated with healthier and protective phenotypes (p < 0.033).

CONCLUSION: Distinct fatty acid patterns were identified which were related to demographics, dietary habits, and metabolic profile. A pattern higher in VLCSFA and lower in ALA was associated with healthier metabolic outcome.

Original language	English
Pages (from-to)	2043-2052
Number of pages	10
Journal	Molecular nutrition & food research
Volume	60
Issue number	9
DOIs	https://doi.org/10.1002/mnfr.201500711
Publication status	Published - 1 Sep 2016

Keywords

k-means
Metabolic risk
Pattern analysis
Plasma fatty acids
Very-long-chain saturated fatty acid

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10.1002/mnfr.201500711

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title = "Plasma fatty acid patterns reflect dietary habits and metabolic health: A cross-sectional study",

abstract = "SCOPE: Using pattern analysis, we investigated the relationship between plasma fatty acid patterns, dietary intake, and biomarkers of metabolic health using data from the Irish National Adult Nutrition Survey. METHODS AND RESULTS: Plasma fatty acid patterns were derived from 26 plasma fatty acids using k-means cluster analysis. Four clusters were identified, each with a distinct fatty acid profile. Cluster 1 included high proportions of linoleic acid (LA) and low proportions of stearic acid (SA); cluster 2 was higher in n-3 polyunsaturated fatty acids and SA; the profile of cluster 3 was higher in very-long-chain saturated fatty acid (VLCSFA) and lower in α-linolenic acid (ALA) (cluster 3); while cluster 4 was higher in fatty acids related to de novo lipogenesis and 20:3n-6 and lower in LA (cluster 4). In general, cluster 4 was associated with adverse metabolic profile and higher metabolic risk (p < 0.033). Clusters 2 and 3 were associated with healthier and protective phenotypes (p < 0.033).CONCLUSION: Distinct fatty acid patterns were identified which were related to demographics, dietary habits, and metabolic profile. A pattern higher in VLCSFA and lower in ALA was associated with healthier metabolic outcome.",

keywords = "k-means, Metabolic risk, Pattern analysis, Plasma fatty acids, Very-long-chain saturated fatty acid",

author = "Kaifeng Li and Lorraine Brennan and McNulty, \{Breige A.\} and Bloomfield, \{Jack F.\} and Duff, \{Dan J.\} and Devlin, \{Niamh F.C.\} and Gibney, \{Michael J.\} and Albert Flynn and Janette Walton and Nugent, \{Anne P.\}",

note = "Publisher Copyright: {\textcopyright} 2016 WILEY-VCH Verlag GmbH \& Co. KGaA, Weinheim.",

year = "2016",

month = sep,

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doi = "10.1002/mnfr.201500711",

language = "English",

volume = "60",

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journal = "Molecular nutrition \& food research",

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TY - JOUR

T1 - Plasma fatty acid patterns reflect dietary habits and metabolic health

T2 - A cross-sectional study

AU - Li, Kaifeng

AU - Brennan, Lorraine

AU - McNulty, Breige A.

AU - Bloomfield, Jack F.

AU - Duff, Dan J.

AU - Devlin, Niamh F.C.

AU - Gibney, Michael J.

AU - Flynn, Albert

AU - Walton, Janette

AU - Nugent, Anne P.

PY - 2016/9/1

Y1 - 2016/9/1

N2 - SCOPE: Using pattern analysis, we investigated the relationship between plasma fatty acid patterns, dietary intake, and biomarkers of metabolic health using data from the Irish National Adult Nutrition Survey. METHODS AND RESULTS: Plasma fatty acid patterns were derived from 26 plasma fatty acids using k-means cluster analysis. Four clusters were identified, each with a distinct fatty acid profile. Cluster 1 included high proportions of linoleic acid (LA) and low proportions of stearic acid (SA); cluster 2 was higher in n-3 polyunsaturated fatty acids and SA; the profile of cluster 3 was higher in very-long-chain saturated fatty acid (VLCSFA) and lower in α-linolenic acid (ALA) (cluster 3); while cluster 4 was higher in fatty acids related to de novo lipogenesis and 20:3n-6 and lower in LA (cluster 4). In general, cluster 4 was associated with adverse metabolic profile and higher metabolic risk (p < 0.033). Clusters 2 and 3 were associated with healthier and protective phenotypes (p < 0.033).CONCLUSION: Distinct fatty acid patterns were identified which were related to demographics, dietary habits, and metabolic profile. A pattern higher in VLCSFA and lower in ALA was associated with healthier metabolic outcome.

AB - SCOPE: Using pattern analysis, we investigated the relationship between plasma fatty acid patterns, dietary intake, and biomarkers of metabolic health using data from the Irish National Adult Nutrition Survey. METHODS AND RESULTS: Plasma fatty acid patterns were derived from 26 plasma fatty acids using k-means cluster analysis. Four clusters were identified, each with a distinct fatty acid profile. Cluster 1 included high proportions of linoleic acid (LA) and low proportions of stearic acid (SA); cluster 2 was higher in n-3 polyunsaturated fatty acids and SA; the profile of cluster 3 was higher in very-long-chain saturated fatty acid (VLCSFA) and lower in α-linolenic acid (ALA) (cluster 3); while cluster 4 was higher in fatty acids related to de novo lipogenesis and 20:3n-6 and lower in LA (cluster 4). In general, cluster 4 was associated with adverse metabolic profile and higher metabolic risk (p < 0.033). Clusters 2 and 3 were associated with healthier and protective phenotypes (p < 0.033).CONCLUSION: Distinct fatty acid patterns were identified which were related to demographics, dietary habits, and metabolic profile. A pattern higher in VLCSFA and lower in ALA was associated with healthier metabolic outcome.

KW - k-means

KW - Metabolic risk

KW - Pattern analysis

KW - Plasma fatty acids

KW - Very-long-chain saturated fatty acid

UR - https://www.scopus.com/pages/publications/84987813300

U2 - 10.1002/mnfr.201500711

DO - 10.1002/mnfr.201500711

M3 - Article

C2 - 27028111

AN - SCOPUS:84987813300

SN - 1613-4125

VL - 60

SP - 2043

EP - 2052

JO - Molecular nutrition & food research

JF - Molecular nutrition & food research

IS - 9

ER -

Plasma fatty acid patterns reflect dietary habits and metabolic health: A cross-sectional study

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