Cited by 283Gut microbiota and healthLiver Disease Diagnosis and TreatmentGastrointestinal motility and disorders

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

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Da Silva, Hannah E., Teterina, Anastasia, Comelli, Elena M., Taibi, Amel, Arendt, Bianca M., Fischer, Sandra E., Lou, Wendy, Allard, Johane P.·2018·Scientific Reports

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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Crossref · 10.1038/s41598-018-19753-9

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Figures

Figure 1 Subject recruitment and sample collection flow chart.
Figure 1 Subject recruitment and sample collection flow chart.CC BY · PubMed Central
Figure 2 Medians of differentially abundant genera based on 16S sequencing data.
Figure 2 Medians of differentially abundant genera based on 16S sequencing data.CC BY · PubMed Central
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.
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.CC BY · PubMed Central

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  1. Doelle, H. W. Bacterial Metabolism. Second edn, 416–419 (Academic Press, Inc., 1975).

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Metadata

Authors
Da Silva, H. E., Teterina, A., Comelli, E. M., Taibi, A., Arendt, B. M., Fischer, S. E., Lou, W., & Allard, J. P.
Affiliations
  • University Health Network (CA)
  • University of Toronto (CA)
Corresponding author
Allard, Johane P.
Venue
Scientific Reports
Published
2018-01-23
Volume
8
Issue
1
Pages
1466-1466
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2803148575
Cited by
283
References
59
Citations by year
2026: 18 · 2025: 32 · 2024: 31 · 2023: 34 · 2022: 35 · 2021: 60 · 2020: 34 · 2019: 27 · 2018: 10
FWCI
11.64
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • American College of Gastroenterology
  • University of Alberta
  • University of Toronto
  • Canadian Institutes of Health Research (86922_1, 89705_1)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Hepatology › Liver Disease Diagnosis and Treatment
  • Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
Keywords
non-alcoholic fatty liver disease, nonalcoholic steatohepatitis, gut microbiota, dysbiosis, obesity, insulin resistance, Bacteroidetes, Firmicutes, Faecalibacterium prausnitzii, Ruminococcus, Coprococcus, Lactobacillus, short-chain fatty acids, propionate, isobutyric acid, 2-hydroxybutyrate, L-lactic acid, gut microbiota metabolites
MeSH terms
Gastrointestinal Microbiome, Adult, Aged, Cross-Sectional Studies, Feces, Female, Humans, Insulin Resistance, Male, Middle Aged, Obesity, Prospective Studies, Body Mass Index, Young Adult, Dysbiosis, Non-alcoholic Fatty Liver Disease

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