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. 2020 Dec 16;14:611393. doi: 10.3389/fnins.2020.611393

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Copyright © 2020 Fonteh, Chiang, Arakaki, Edminster and Harrington.

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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Phosphocholine glycerophospholipids and hierarchical clustering of all phosphatidylcholine (PC) glycerophospholipids in the supernatant fluids (SF) and nanoparticles (NP) fractions – Levels of lysophosphatidylcholine (LPC; A), PAF_LL (B), and the LPC to PC (C) ratios were determined in the SF fraction of CH-NAT, CH-PAT, and AD. LPC (D), and PAF_LL (E) and the LPC/PC ratio (F) were similarly determined in the NP fractions. Group comparisons were made using One way ANOVA (Kruskal–Wallis test) combined with Dunn’s multiple comparisons. The p-values are from One way ANOVA, while significant changes (p < 0.05) from Dunn’s are indicated with an asterisk (*). The heatmap displays the hierarchical clustering of PC-glycerophospholipids in the SF fraction (G) and the NP fraction (H). Distance measures of the heatmap use Euclidean while the clustering algorithm uses Ward on the Metabanalyst 4.0 platform.