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. 2021 Oct 19;12:6000. doi: 10.1038/s41467-021-26209-8

Fig. 5. Global effects of microbiota on host circulating blood metabolism.

Fig. 5

a, b Principal component analysis score plot (a) and scree loading plot (b) for assessing serum metabolomic data comparing GF (N = 12) and CONV-R mice (N = 12) under heated ESI+ mode. c Metabolomic total ion chromatogram cloudplot of significant features in serum between groups (p value < 0.01, fold change ≥ 1.5, two-sided Welch’s t test) using heated ESI+ as an example; larger circle size indicated larger fold change values ranging from 1.5-1,347.1. d Chemical similarity enrichment analysis (ChemRICH) clustering of 231 identified altered serum 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 57 significantly perturbed serum metabolic pathways (adjusted p < 0.05) with top 50 shown. LC/MS liquid chromatography-mass spectrometry, TIC total ion chromatogram, HETE 5-hydroxyeicosatetraenoic acid, FA fatty acid.