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Comment
. 2019 Dec;68(12):2257-2260.
doi: 10.1136/gutjnl-2018-317561. Epub 2018 Nov 21.

Gut microbiota dynamics and uraemic toxins: one size does not fit all

Affiliations
Comment

Gut microbiota dynamics and uraemic toxins: one size does not fit all

Marie Joossens et al. Gut. 2019 Dec.
No abstract available

Keywords: intestinal bacteria; intestinal microbiology.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Main covariates of the faecal microbiota composition of patients with ESKD. Final selected numeric metadata in addition to top 10 taxa correlating with PCoA eigenvectors (ie, with overall community composition). Biplot computed with Bray Curtis dissimilarity on rarefied read counts. Length of arrows reflects correlation with overall community composition. Per patient, a different colour is used. CMPF, 3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid; ESKD, end-stage kidney disease.
Figure 2
Figure 2
Associations between p-cresyl conjugates and indoxyl sulfate and intestinal microbiota, subcohort analysis. Faecal microbiota composition of samples with highest p-cresyl (pCS+pCG) and lowest IxS concentrations (group 1 in red) was compared with that of samples with highest IxS and lowest pC concentrations (group 2 in green). (A): The top 15 taxa with the largest difference between the two groups. Group-specific taxon proportion vectors were obtained by fitting the Dirichlet Multinomial distribution to each sample set (using R package HMP, function DM.MoM). The HMP package function Xmcupo.sevsample (Generalised Wald-type statistics) was used to compute whether the difference between the two taxon proportion vectors (highest pC/lowest IxS vs lowest pC/highest IxS) was significant (p<0.0001). (B) Effect sizes of genera that differed significantly between the datasets using LDA effect size (LEfSe). The length of the bar represents a log10 transformed LDA score. The colours represent in which group those taxa were found to be more abundant compared with the other group. Absolute values of the effect sizes should be used to interpret the scale of the difference between both groups. LDA, linear discriminant analysis.

Comment on

References

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