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. 2022 Oct 25;9:989716. doi: 10.3389/fnut.2022.989716

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Copyright © 2022 Potter, Horgan, Wanders, Zandstra, Zock, Fisk, Minihane, Calder, Mathers and de Roos.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Cluster plots of datasets containing baseline variables and data collected prior to intervention with 0.7 g/day EPA + DHA. Each participant is displayed as one data point, by visualizing the clusters using the first of the imputed datasets. (A) Visualization of hierarchical clusters, cluster 1 _° (black, n = 161), cluster 2 Δ (gray, n = 149). (B) PCA plot of pre-0.7 g/day data visualizing clusters across the first two principal components (clusters as described in A). (C) Clustering as shown in a with gradation of shading relating to change in plasma PC EPA + DHA (as% of total fatty acids) after 0.7 g/day EPA + DHA intervention, with darker shading corresponding to greatest increases in EPA + DHA. Legend in top right shows range of EPA + DHA change. PC, plasma phosphatidylcholine; PCA, principal components analysis.