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. 2021 Oct 6;49(21):e126. doi: 10.1093/nar/gkab815

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© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 3. — SMETANA simulations uncover differences in metabolism across conditions. (A) Alluvial diagram showing top 10 compounds exchanged with statistical significance across conditions between eight species, representing 279 interactions (NGT n = 61, IGT n = 58, T2D n = 160) across 41 samples (NGT n = 12, IGT n = 12, T2D n = 17). Thickness of lines are proportional to magnitude of SMETANA score. (B) Radar plot of average SMETANA scores based on 543 interactions (NGT n = 50, IGT n = 161, T2D n = 249) across 18 samples (NGT n = 4, IGT n = 6, T2D n = 8) grouped by metabolite class across conditions for receiver Faecalibacterium prausnitzii C. (C) Network diagrams of interactions involving Faecalibacterium prausnitzii C (centered in each subgraph) as a receiver across conditions. Thickness of lines are proportional to magnitude of SMETANA score.