Fig. 4
Trans-omics integration of lipidome and metabolome changes. (A) MEGENA network illustrates differential correlations between lipid and metabolites in first infection (n = 28) relative to healthy controls (n = 20). Only lipid/metabolite pairs with significant differential correlations (pValDiff < 0.0001) were included. Sign/sign indicates direction and strength of correlation in healthy controls and first infection, respectively, and number that follows indicates number of lipid/metabolite pairs in the global network exhibiting this pattern of change. For instance, mustard yellow edges +/0 (357) in the upper legend of the global network indicates that correlation between connected lipid/metabolite pair was positive + in healthy controls, and the correlation was lost (became 0) in first infection patients. Two modules of interest were boxed and enlarged for emphasis. (B) Over-representation analysis of dysregulated pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database based on differential metabolites (P < 0.05 from Student’s t-test) between first infection patients (n = 28) relative to healthy controls (n = 20). (C) Boxplots of changes in specific metabolites and lipids from Module I (upper panel) and Module II (lower panel) of the global differential correlation network. In all box plots, the median is indicated by the horizontal line and the first and third quartiles are represented by the box edges. The lower and upper whiskers extend from the hinges to the smallest and largest values, respectively, with individual samples indicated as dots. P values from Student’s t-test were indicated using a letter-based representation with two groups sharing a common letter being not statistically different at P < 0.05. TCA, tricarboxylic acid; PE-O, plasmalogen phosphatidylethanolamine; TAG, triacylglycerol.
