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. Author manuscript; available in PMC: 2014 Dec 26.
Published in final edited form as: Neuroscience. 2013 Sep 14;0:10.1016/j.neuroscience.2013.09.012. doi: 10.1016/j.neuroscience.2013.09.012

Figure 3.

Figure 3

PLS-DA model validation and metabolite impact. (A) Prediction accuracy training permutation test validate the PLS-DA model by showing a significant observed statistic (p < 0.01). (B) The variable influence on projection (VIP) analyses, which reflect the importance of metabolites showed the significant contribution of selective NAEs, endocannabinoids, endocannabinoid glycerols, and O3PUFA-derived glycerophospho ethanolamines (GP-NAEs) in our PLS model. The colored boxes on the right indicate the relative concentrations of the corresponding metabolite in each group under study. Abbreviations: GP, glycerophospho; EPEA, eicosapentaenoyl ethanolamine; DPEA, docosapentaenoyl ethanolamine; AEA, arachidonoyl ethanolamine; EG, eicosenoyl glycerol; LEA, linoleoyl ethanolamine; 2-AG, 2-arachidonoyl glycerol; 2-PG, 2-palmitoyl glycerol; 1-OG, 1-oleoyl glycerol; PEA, palmitoyl ethanolamine.