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. 2023 Feb 16;12:e82785. doi: 10.7554/eLife.82785

Figure 5. Microbiome-associated metabolites are affected in HIV clusters (A) Heatmap representing abundances of microbiome-derived metabolites differing in at least one comparison.

Figure 5.

Data were Z-score transformed. Significant logFC (limma, FDR <0.05) of pairwise comparisons between conditions, groups, and under groups of microbiome-derived metabolites are displayed on the right. (B) Cytoscape network showing significant positive and negative associations between clinical parameters and microbiome-derived metabolites (univariate linear regression, FDR <0.05). Clinical parameters are colored based on categories. (C) Co-expression network of metabolomics data in PWH. Metabolites are grouped by communities, and microbiome-derived metabolites are labeled and colored based on the subgroup. (D) The subset of microbiome-derived metabolites from the co-expression network. Non-significant metabolites in all comparisons are displayed with transparency. Significant microbiome-derived metabolites between at least two conditions are labeled.

Figure 5—source data 1. Univariate linear regression between clinical parameters and microbiome-derived metabolites differing groups.