Kaifeng Li1, Lorraine Brennan1, Breige A McNulty1, Jack F Bloomfield2, Dan J Duff2, Niamh F C Devlin1, Michael J Gibney1, Albert Flynn3, Janette Walton3, Anne P Nugent4. 1. School of Agriculture and Food Science, Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland. 2. Chemical Analysis Laboratories, Sandycove, Dublin, Ireland. 3. School of Food and Nutritional Sciences, University College Cork, Cork, Ireland. 4. School of Agriculture and Food Science, Institute of Food and Health, University College Dublin (UCD), Belfield, Dublin, Ireland. anne.nugent@ucd.ie.
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.
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.