| Literature DB >> 35053205 |
Natalia Vallianou1, Gerasimos Socrates Christodoulatos2, Irene Karampela3, Dimitrios Tsilingiris4, Faidon Magkos5, Theodora Stratigou6, Dimitris Kounatidis1, Maria Dalamaga2.
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. NAFLD begins as a relatively benign hepatic steatosis which can evolve to non-alcoholic steatohepatitis (NASH); the risk of cirrhosis and hepatocellular carcinoma (HCC) increases when fibrosis is present. NAFLD represents a complex process implicating numerous factors-genetic, metabolic, and dietary-intertwined in a multi-hit etiopathogenetic model. Recent data have highlighted the role of gut dysbiosis, which may render the bowel more permeable, leading to increased free fatty acid absorption, bacterial migration, and a parallel release of toxic bacterial products, lipopolysaccharide (LPS), and proinflammatory cytokines that initiate and sustain inflammation. Although gut dysbiosis is present in each disease stage, there is currently no single microbial signature to distinguish or predict which patients will evolve from NAFLD to NASH and HCC. Using 16S rRNA sequencing, the majority of patients with NAFLD/NASH exhibit increased numbers of Bacteroidetes and differences in the presence of Firmicutes, resulting in a decreased F/B ratio in most studies. They also present an increased proportion of species belonging to Clostridium, Anaerobacter, Streptococcus, Escherichia, and Lactobacillus, whereas Oscillibacter, Flavonifaractor, Odoribacter, and Alistipes spp. are less prominent. In comparison to healthy controls, patients with NASH show a higher abundance of Proteobacteria, Enterobacteriaceae, and Escherichia spp., while Faecalibacterium prausnitzii and Akkermansia muciniphila are diminished. Children with NAFLD/NASH have a decreased proportion of Oscillospira spp. accompanied by an elevated proportion of Dorea, Blautia, Prevotella copri, and Ruminococcus spp. Gut microbiota composition may vary between population groups and different stages of NAFLD, making any conclusive or causative claims about gut microbiota profiles in NAFLD patients challenging. Moreover, various metabolites may be involved in the pathogenesis of NAFLD, such as short-chain fatty acids, lipopolysaccharide, bile acids, choline and trimethylamine-N-oxide, and ammonia. In this review, we summarize the role of the gut microbiome and metabolites in NAFLD pathogenesis, and we discuss potential preventive and therapeutic interventions related to the gut microbiome, such as the administration of probiotics, prebiotics, synbiotics, antibiotics, and bacteriophages, as well as the contribution of bariatric surgery and fecal microbiota transplantation in the therapeutic armamentarium against NAFLD. Larger and longer-term prospective studies, including well-defined cohorts as well as a multi-omics approach, are required to better identify the associations between the gut microbiome, microbial metabolites, and NAFLD occurrence and progression.Entities:
Keywords: NAFLD; NASH; bacteriophage; microbiota; multi-omics; prebiotics; probiotics
Mesh:
Substances:
Year: 2021 PMID: 35053205 PMCID: PMC8774162 DOI: 10.3390/biom12010056
Source DB: PubMed Journal: Biomolecules ISSN: 2218-273X
Figure 1Multi-hit etiopathogenetic model of NAFLD progression and staging. Abbreviations: HCC, Hepatocellular Carcinoma; NAFLD, Non-Alcoholic Fatty Liver Disease; NASH, Non-Alcoholic Steatohepatitis. (All images are originated from the free medical website http://smart.servier.com/ by Servier licensed under a Creative Commons Attribution 3.0 Unported License, accessed on 1 October 2021).
Figure 2Gut microbial signatures found in NAFLD/NASH. Abbreviations: NAFLD, Non-Alcoholic Fatty Liver Disease; NASH, Non-Alcoholic Steatohepatitis. (All images are originated from the free medical website http://smart.servier.com/ by Servier licensed under a Creative Commons Attribution 3.0 Unported License, accessed on 1 October 2021).
Differences in microbial species abundance in various animal models.
| Animal Studies | ||
|---|---|---|
| Study, Year | Animal Model | Remarks |
| Rahman et al., 2016 [ | Knockout mice of the F11 receptor gene, a gene conferring a junctional adhesion molecule A, implicated in derangement in intestinal permeability | |
| Pierantonelli et al., 2017 [ | NLRP3 Knockout mice | ↓ Gram negative species |
| Llorente et al., 2017 [ | Sublytic Atp4aSl/Sl mice treated with PPIs | |
| Gart et al., 2018 [ | Leiden mice | Variations in gut microbiota, non-specific |
| Schneider et al., 2019 [ | Rats with methionine-choline deficient diet-induced NASH | ↓ Gut microbiota diversity |
| Petrov et al., 2019 [ | GF-HFD not responders |
|
| Chen et al., 2019 [ | Knockout SIRT3 HFD mice |
|
| De Sant’Ana et al., 2019 [ | Knockout mice (caspases 1/11 and NLRP3 HFD) | |
| Ahmad et al., 2020 [ | Mice C57BL/6J HFD | Alterations in Prevotellaceae UCG-003, Ruminococcaceae UCG-005, |
| Cavallari et al., 2020 [ | NOD2 Knockout mice | |
| Zhang et al., 2021 [ | Mice, C57BL/6 male, high-fat, high-cholesterol diet | |
Abbreviations: F/B ratio: Firmicutes to Bacteroidetes ratio; GF: Germ Free; HFCD: High-Fat, High-Cholesterol Diet; HFD|: High-Fat Diet; ↑: increased, ↓: decreased.
Evidence from human studies depicting associations of various bacterial species and metabolic signatures in patients with NAFLD.
| Human Studies | ||||
|---|---|---|---|---|
| Study, Year | Population | Lab Techniques | Microbiome | Remarks |
| Belgaumkar et al., 2016 [ | NAFLD as described by serum cytokeratin 18, | Serum: Liquid chromatography tandem-mass spectometry for BA | No bacteria were further detected | Total BA did not change; |
| Boursier et al., 2016 [ | Biopsy-proven NAFLD among | Fecal Microbiome: 16S rRNA gene Sequencing | Patients with NASH and F2≥2: | NASH was related to |
| Loomba et al., 2017 [ | Biopsy-proven NAFLD among | Fecal Microbiome: Whole-genome shotgun sequencing of DNA from feces | Patients with NAFLD: | Patients with NAFLD and ≤F2: |
| Del Chierico et al., 2017 [ | NAFLD in | Fecal Microbiome: | Patients with NAFLD: | Patients with NAFLD: |
| Puri et al., 2018 [ | Biopsy-proven NAFLD among | Serum metabolites: LC/MS | No bacteria were further detected | Patients with NAFLD and ≥F2: |
| Hoyles et al., 2018 [ | Biopsy-proven NAFLD among 56 patients | Fecal Microbiome: | Among patients with steatosis: | Among patients with steatosis: |
| Caussy et al., 2018 [ | Discovery cohort of 156 twins | Fecal Microbiome: Whole Shotgun Metagenomics Sequencing | Patients with NAFLD and >F2: | 56 metabolites had a relationship with hepatic fibrosis, among which |
| Caussy et al., 2019 [ | Cross-sectional; | Fecal Microbiome: 16S rRNA Sequencing | Patients with NAFLD and cirrhosis: | No metabolites were further detected |
| Lee et al., 2020 [ | Biopsy-proven NAFLD among | Fecal Microbiome: 16S rRNA Sequencing | Patients with NAFLD and >F2, non-obese: | Patients with NAFLD and >F2, non-obese: |
| Adams et al., 2020 [ | Biopsy-proven NAFLD among | Fecal Microbiome: | Patients with NAFLD and >F2: | Patients with NAFLD and >F2: |
| Masarone et al., 2021 [ | Biopsy-proven NAFLD among | Serum metabolites: GC/MS | No bacteria were | Patients with NAFLD |
| Nimer et al., 2021 [ | Biopsy-proven NAFLD among | Plasma BA metabolites: LC/MS | No bacteria were | Patients with NAFLD |
Abbreviations: BA: Bile Acids; BCAAs: Branched-Chain Amino Acids; FMT: Fecal Microbiota Transplantation; GC/MS: Gas Chromatography/Mass Spectrometry; LC/MS: Liquid Chromatography/Mass Spectrometry; MRE: Magnetic Resonance Elastography; MRI-PDFF: Magnetic Resonance Imaging Proton Density Fat Fraction; NAFLD: Non-Alcoholic Fatty Liver Disease; NASH: Non-Alcoholic Steatohepatitis; qPCR: quantitative Polymerase Chain Reaction; WGS: Whole Genome Shotgun; ↑: increased, ↓: decreased.
Figure 3Dysbiosis of gut microbiota may explain the inflammatory process and hepatotoxicity of microbiome-derived compounds implicated in the pathogenesis of NAFLD. Abbreviations: FFA, Free Fatty Acids; LPS, Lipopolysaccharide; NAFLD, Non-Alcoholic Fatty Liver Disease; NSAIDs, Non-Steroid Anti-Inflammatory Drugs; SCFAs, Short-chain Fatty Acids; TMAO, Trimethylamine N-oxide. (All images are originated from the free medical website http://smart.servier.com/ by Servier licensed under a Creative Commons Attribution 3.0 Unported License, accessed on 1 October 2021).