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. 2018 Jan 23;8(1):1466.
doi: 10.1038/s41598-018-19753-9.

Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance

Hannah E Da Silva  1 , Anastasia Teterina  2 , Elena M Comelli  3 , Amel Taibi  3 , Bianca M Arendt  2 , Sandra E Fischer  2 , Wendy Lou  4 , Johane P Allard  5   6
Affiliations

Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance

Hannah E Da Silva et al. Sci Rep. .

Abstract

This study aimed to determine if there is an association between dysbiosis and nonalcoholic fatty liver disease (NAFLD) independent of obesity and insulin resistance (IR). This is a prospective cross-sectional study assessing the intestinal microbiome (IM) of 39 adults with biopsy-proven NAFLD (15 simple steatosis [SS]; 24 nonalcoholic steatohepatitis [NASH]) and 28 healthy controls (HC). IM composition (llumina MiSeq Platform) in NAFLD patients compared to HC were identified by two statistical methods (Metastats, Wilcoxon). Selected taxa was validated using quantitative PCR (qPCR). Metabolites in feces and serum were also analyzed. In NAFLD, 8 operational taxonomic units, 6 genera, 6 families and 2 phyla (Bacteroidetes, Firmicutes) were less abundant and; 1 genus (Lactobacillus) and 1 family (Lactobacillaceae) were more abundant compared to HC. Lower abundance in both NASH and SS patients compared to HC were confirmed by qPCR for Ruminococcus, Faecalibacterium prausnitzii and Coprococcus. No difference was found between NASH and SS. This lower abundance in NAFLD (NASH+SS) was independent of BMI and IR. NAFLD patients had higher concentrations of fecal propionate and isobutyric acid and serum 2-hydroxybutyrate and L-lactic acid. These findings suggest a potential role for a specific IM community and functional profile in the pathogenesis of NAFLD.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
Subject recruitment and sample collection flow chart.
Figure 2
Figure 2
Medians of differentially abundant genera based on 16S sequencing data.
Figure 3
Figure 3
Scatterplots illustrating relationship between relative abundance of relevant bacterial taxa by qPCR, diagnosis and body mass index (left panel), and homeostasis model assessment estimated insulin resistance (HOMA-IR, right panel) (a) Coprococcus; (b) F. prauznitzii (c) Ruminococcus.
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