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Fig. 7 | Microbiome

Fig. 7

From: Gut microbiota modulation with long-chain corn bran arabinoxylan in adults with overweight and obesity is linked to an individualized temporal increase in fecal propionate

Fig. 7

Individualized arabinoxylan-induced propionate responses could be explained by baseline gut microbiota composition and microbiota shifts. a Heatmap shows the linear associations between the individualized propionate response (ΔW6–BL; dependent variable; columns) and microbiota profiles (BL, ΔW1–BL, ΔW6–BL; predictors; rows). Cells represent individual multiple linear regression models (with FDR correction) that assess whether the predictors explain the individualized propionate response. Multivariate microbiota data were simplified into principal component (PC) variables PC1, PC2, and PC3 prior to analysis. Each model contained the best one or two predictors of PCs, individual CARGs, or significant OTUs selected by stepwise regression. All models were adjusted by fiber dose/sex. Colors from white to red indicate relative AICc (corrected Akaike information criterion) values calculated by \( \frac{\mathrm{AICc}\ \mathrm{value}}{\mathrm{Highest}\ \mathrm{AICc}\ \mathrm{value}}\mathrm{x}\ 100 \). Lower AICc values (red) indicate higher quality models. b Scatter plots show the linear relationship between propionate responses (ΔW6–BL) and either the baseline contribution of all OTUs to PC1 or the shifts of CARG1. Color and size of each point indicate propionate response magnitude and the shaded area specifies the 95% confident interval. The top six OTUs that contributed the most to either PC1 of all OTUs or CARG1 are further provided. AX arabinoxylan, BL baseline, CARG co-abundance response group, MCC microcrystalline cellulose, OTU operational taxonomic unit, W1 week 1, W6 week 6

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