Fig. 2: Distinct fecal metabolome profiles owing to the presence of microbiota. | Nature Communications

Fig. 2: Distinct fecal metabolome profiles owing to the presence of microbiota.

From: High-coverage metabolomics uncovers microbiota-driven biochemical landscape of interorgan transport and gut-brain communication in mice

Fig. 2

a, b Principal component analysis score plot (a) and scree plot (b) for assessing fecal metabolomic data comparing GF (N = 12) and CONV-R mice (N = 12) under heated ESI+ mode. c Metabolomic total ion chromatogram cloudplot of significant ion features in feces between groups (p value < 0.01, fold change ≥ 1.5, two-sided Welch’s t test) using heated ESI+ data as an example; larger circle size indicated larger fold change values ranging from 1.5 to 5300.6. d Chemical similarity enrichment analysis (ChemRICH) clustering of 533 identified altered fecal metabolites by chemical similarity with x-axis of mediation logarithmic additive octanol-water partition coefficients (XlogP) and y-axis for sets statistical significance based on the Kolmogorov–Smirnov test; the node size depicted total compound numbers for each cluster set and node color scale the proportion of GF-enriched vs. CONV-R enriched metabolites. e Quantitative metabolite set enrichment analysis (qMSEA) based on 99 a priori defined sets of metabolites identified a total of 71 significantly perturbed fecal metabolic pathways (adjusted p < 0.05) with top 50 shown. Dim dimension, LC/MS liquid chromatography-mass spectrometry, TIC total ion chromatogram, TriHOME trihydroxyoctadecenoic acid, FA fatty acid, HODE hydroxyoctadecadienoic acid, CoA coenzyme A.

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