Extended Data Fig. 5: Metabolite-of-interest analysis pipeline.
From: Gut microbial factors predict disease severity in a mouse model of multiple sclerosis
a, Pearson’s correlation of metabolite concentrations with key EAE-associated readouts (AUC, Max, RelM, and SusO). Only samples from EAE-induced mice were used for analysis. Significant correlations are shown in either blue (positive) or red (negative). Non-significant correlations are not shown. Metabolites are listed under their KEGG ID (for GABA, C00334). A list of metabolite names with corresponding KEGG IDs is provided in Supplementary Table 2. b, Volcano plots of groupwise comparisons as indicated by the colour-coded legend for log2-normalized metabolite concentrations based on unpaired t-tests with p-value adjustment using the Benjamini-Hochberg method. Each dot represents one metabolite. Metabolites with significantly different (adjusted p < 0.05) concentrations are highlighted in red. c, Criteria intersection analysis of the 175 detected metabolites that were identified in at least 50% of the samples of at least one group. Criteria were categorized into correlation criteria, summarizing the results of either statistically significant positive (PCor) or statistically significant negative (NCor) Spearman correlations across all samples of all groups (both EAE-induced and non-induced mice) and groupwise comparison criteria. Correlations referring to EAE-associated readouts were calculated using samples from EAE-induced mice only. Groupwise comparisons include metabolites found to be significantly different (adjusted p < 0.05) based on unpaired t-tests of log2-normalized concentrations with p-value adjustment using the Benjamini-Hochberg method.
