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. 2021 Mar 3;7(1):20.
doi: 10.1038/s41522-021-00191-x.

Gut dysbiosis and mortality in hemodialysis patients

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Gut dysbiosis and mortality in hemodialysis patients

Ting-Yun Lin et al. NPJ Biofilms Microbiomes. .

Abstract

Little is known about the relationship between gut dysbiosis, inflammation, and adverse outcomes in patients with chronic kidney disease. We examined the association of microbial diversity with all-cause mortality in hemodialysis patients. The gut microbiota was assessed by 16S ribosomal RNA gene sequencing. During a median follow-up of 2.1 years, the adjusted risk of death among patients with higher diversity (above median) was 74% lower than that among patients with lower diversity (below median). We then compared the microbial composition between nonsurvivors and survivors in a matched case-control study. We observed significantly lower microbial diversity and higher proinflammatory cytokines among nonsurvivors than survivors. Specifically, the relative abundance of Succinivibrio and Anaerostipes, two short-chain fatty acid-producing bacteria, was markedly reduced in nonsurvivors. Thus, a unique gut microbial composition is associated with an increased risk of mortality among hemodialysis patients and may be used to identify subjects with a poor prognosis.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Factors associated with the Simpson index.
Univariate analysis of the correlation of the Simpson index with a BMI, b SGA score, c PASE score, d IL-6, and e TNF-α. Natural logarithmic transformation of IL-6 and TNF-α was used to normalize the distributions for univariate analyses. BMI body mass index, IL-6 interleukin-6, PASE the Physical Activity Scale for the Elderly, SGA subjective global assessment, TNF-α tumor necrosis factor-α.
Fig. 2
Fig. 2. Kaplan–Meier analysis curves.
Hemodialysis patients were stratified by the median of the Simpson index to assess the unadjusted risks for all-cause mortality.
Fig. 3
Fig. 3. Comparison of different metrics of α-diversity between nonsurvivors and survivors after matching.
a Simpson index, b Shannon index. P values were obtained using the Mann–Whitney U test.
Fig. 4
Fig. 4. Cladogram showing differentially abundant taxa of the gut microbiota.
a Differential taxon features at the genus level identified by LEfSe according to nonsurvivors and survivors after matching (LDA score >2). b Red and green bars represent taxon features with significantly higher expression in nonsurvivors and survivors, respectively. LDA linear discriminant analysis, LEfSe linear discriminant analysis effect size.
Fig. 5
Fig. 5. Relative abundance of the gut microbiota at the genus level between nonsurvivors and survivors after matching.
Parabacteroides, Succinivibrio, and Anaerostipes were enriched in survivors compared with nonsurvivors. P < 0.05 using the Mann–Whitney U test.

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