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. 2022 Mar 20;14(1):2044722. doi: 10.1080/19490976.2022.2044722

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© 2022 The Author(s). Published with license by Taylor & Francis Group, LLC.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 6. — Correlation between metagenomic features and clinical variables (n=39).

Heatmap of Spearman’s correlation coefficient between deltas (after – before multi-fiber bread) of metagenomics features impacted by MF bread (in rows) and deltas of clinical variables related to cholesterol and glucose metabolisms (in columns). The right side bar stands for the metagenomics features Cliff’s Delta (red: decreased with MF, green: increased with MF). Black dots stand for correlations that are significant after Benjamini-Hochberg correction (q ≤ 0.1). Empty circles stand for correlations that are significant regarding non-corrected p-values (p ≤ 0.05). P. distasonis and the modules/CAZymes it carries are denoted with ‘*’ at the end of their name. CD: Cliff’s Delta; GH: glycoside hydrolase; GT: glycosyl-transferase; PL: polysaccharide lyase.