| Literature DB >> 33801133 |
Andreas Blesl1, Vanessa Stadlbauer1,2.
Abstract
The gut-liver axis describes the physiological interplay between the gut and the liver and has important implications for the maintenance of health. Disruptions of this equilibrium are an important factor in the evolution and progression of many liver diseases. The composition of the gut microbiome, the gut barrier, bacterial translocation, and bile acid metabolism are the key features of this cycle. Chronic cholestatic liver diseases include primary sclerosing cholangitis, the generic term secondary sclerosing cholangitis implying the disease secondary sclerosing cholangitis in critically ill patients and primary biliary cirrhosis. Pathophysiology of these diseases is not fully understood but seems to be multifactorial. Knowledge about the alterations of the gut-liver axis influencing the pathogenesis and the outcome of these diseases has considerably increased. Therefore, this review aims to describe the function of the healthy gut-liver axis and to sum up the pathological changes in these cholestatic liver diseases. The review compromises the actual level of knowledge about the gut microbiome (including the mycobiome and the virome), the gut barrier and the consequences of increased gut permeability, the effects of bacterial translocation, and the influence of bile acid composition and pool size in chronic cholestatic liver diseases. Furthermore, therapeutic implications and future scientific objectives are outlined.Entities:
Keywords: SC-CIP; gut-liver axis; microbiome; primary biliary cholangitis; primary sclerosing cholangitis
Year: 2021 PMID: 33801133 PMCID: PMC8004151 DOI: 10.3390/nu13031018
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1The gut-liver axis in liver diseases. Dysbiosis of the microbiome leads to gut barrier damage enabling translocation of bacteria, toxins, pathogen associated molecular patterns (PAMPs), and metabolites of gut microbes. Via the portal vein, they reach the liver and trigger inflammation cascades leading to fibrosis and cirrhosis in disease courses. Bile acids are synthesized from cholesterol in hepatocytes. After conjugation, they are secreted into the bile ducts and reach the intestine as conjugated primary bile acids. In the gut, bile acids allow digestion of fat and they interact with gut microbes and cellular receptors. Takeda G-protein-coupled receptor 5 (TGR5) and farnesoid X receptor (FXR) are the most important of these receptors. Binding of bile acids to FXR induces formation of fibroblast growth factor 19 (FGF-19) which serves as negative feed-back mechanism for bile acid synthesis in the liver. The majority of bile acids are reabsorbed in the terminal ileum, whereas a small proportion is secreted into the colon, metabolized to secondary bile acids and then also reabsorbed or excreted. Created with BioRender.com. CYP7A1 = Cytochrome P450, Family 7, Subfamily A, Polypeptide 1; NLRP3 = NOD-, LRR- and pyrin domain-containing protein 3.
Summary of studies investigating the gut microbiome in PSC. Only full papers are listed. Key findings of microbiome composition are influenced by the personal opinion of the authors of this review because it represents a selection of findings.
| Author | Publication Date | Cohort | Sample Origin | Methods | Key Findings of Microbiome Composition in PSC Patients in Feces or Mucosal Biopsies Compared to HC | Assessed Confounders of Microbiome Composition |
|---|---|---|---|---|---|---|
| Kummen et al. [ | 2020 | 57 PSC, 79 PSC-IBD, 158 HC, 93 IBD | Feces | Metagenomic shotgun sequencing | ↓ Diversity | Disease phenotype, UDCA intake, disease duration and severity |
| Lapidot et al. [ | 2020 | 17 PSC, 18 PSC-IBD, 30 HC | Feces, saliva | 16S rRNA, Illumina MiSeq | ↓ Diversity | Disease phenotype, lifestyle, dietary habits, smoking |
| Quraishi et al. [ | 2020 | 10 PSC-IBD, 10 UC, 10 HC | Mucosal biopsies, sigmoid | 16S rRNA, Illumina MiSeq | ↑ Pseudomonas | None |
| Lemoinne et al. [ | 2020 | 22 PSC, 27 PSC-IBD, 33 IBD, 30 HC | Feces | 16S rRNA, Illumina MiSeq | ↓ Diversity | Disease phenotype, age, gender, smoking, drug intake, |
| Rühlemann et al. [ | 2019 | 62 PSC, 75 PSC-IBD, 118 UC, 133 | Feces | 16S rRNA, Illumina MiSeq | ↓ Diversity | Disease phenotype, UDCA, 5-ASA or azathioprine intake, colonic inflammation, diet |
| Kummen et al. [ | 2017 | 30 PSC, 55 PSC-IBD, 36 UC, 263 HC | Feces | 16S rRNA, Illumina MiSeq | ↓ Diversity | Disease phenotype, age, gender, smoking status, BMI, drug intake, liver transplantation, disease duration and severity, |
| Bajer et al. [ | 2017 | 11 PSC, 32 PSC-IBD, 32 UC, 31 HC | Feces | 16S rRNA, Illumina MiSeq | ↑ Rothia | Disease phenotype |
| Sabino et al. [ | 2016 | 18 PSC, 48 PSC-IBD, 13 UC, 30 CD, 66 HC | Feces | 16S rRNA, Illumina MiSeq | ↓ Diversity | Disease phenotype, gender, age, BMI, smoking status, UDCA intake, antibiotic intake, disease severity, liver transplantation |
| Torres et al. [ | 2016 | 1 PSC, 19 PSC-IBD, 13 UC, 2 CD, 9 HC | Mucosal biopsies, ileum, right and left Colon | 16S rRNA, Illumina MiSeq | ↑ Barnesiellaceae | Disease phenotype, disease severity |
| Kevans et al. [ | 2016 | 31 PSC-IBD, 56 UC | Mucosal biopsies, | 16S rRNA, Illumina MiSeq | HC not included in the study | Geographical origin |
| Rossen et al. [ | 2015 | 12 PSC-IBD, 11 UC, 9 HC | Mucosal biopsies, | 16S rRNA, | ↓ Diversity | None |
↓ = lower, ↑ = higher, PSC = primary sclerosing cholangitis, IBD = inflammatory bowel disease, UC = ulcerative colitis, CD = Crohn’s disease, HC = healthy controls.
Summary of studies investigating the gut microbiome in PBC. Key findings of microbiome composition are influenced by the personal opinion of the authors of this review because it represents a selection of findings.
| Author | Publication Date | Cohort | Sample Origin | Methods | Key Findings of Microbiome Composition in PBC Patients in Feces Compared to HC | Assessed Confounders of Microbiome Composition |
|---|---|---|---|---|---|---|
| Furukawa et al. [ | 2020 | 76 PBC, 23 HC | Feces | 16S rRNA, Illumina MiSeq | ↓ Diversity | UDCA treatment effect, PPI intake |
| Chen et al. [ | 2020 | 65 PBC, 109 HC | Feces | 16S rRNA, Illumina MiSeq | ↑ Lactobacillus | UDCA intake |
| Abe et al. [ | 2018 | 39 PBC, 17 AIH, 15 HC | Feces, Saliva | 16S rRNA, Terminal restriction fragment length polymorphism | ↑ Lactobacillales | None |
| Tang et al. [ | 2018 | 60 PBC, 80 HC | Feces | 16S rRNA, Illumina MiSeq | ↓ Diversity | UDCA intake, disease severity, gender, age, BMI |
| Lv et al. [ | 2016 | 42 PBC, 30 HC | Feces | 16S rRNA, Illumina MiSeq | Multiple alterations mentioned, for example: | None |
↓ = lower, ↑ = higher, PBC = primary biliary cirrhosis, HC = healthy controls, PPI = proton pump inhibitor, BMI = body mass index.
Figure 2Therapeutic strategies. Current treatment options to modulate the gut microbiome in liver diseases and approved and investigated drugs targeting bile acids for chronic cholestatic liver diseases. Accepted options to therapeutically influence microbiome composition and therefore the gut-liver axis are probiotics, prebiotics, antibiotics, FMT, and nutrition. Antimycotics and Bacteriophages are still in the explorative stage, same as FXR agonists concerning their potential to modulate the gut microbiome. Approved drugs for the treatment of PBC include UDCA, obeticholic acid and fibrates. No approved drugs are available for the treatment of PSC and SC-CIP. NorUDCA, all trans-retinoic acid, cilofexor, other PPAR ligands, and NGM282 are still under investigation. Created with BioRender.com. FXR = Farnesoid X receptor, FGF-19 = Fibroblast growth factor 19, PPAR = Peroxisome proliferator-activated receptor, NGM282 = an engineered fibroblast growth factor 19 analogue, UDCA = Ursodeoxycholic acid, norUDCA = norUrsodeoxycholic acid.
Currently ongoing or future studies listed to modulate the gut microbiome in chronic cholestatic liver diseases. Source: clinicaltrails.gov. Search for: primary sclerosing cholangitis, sclerosing cholangitis, primary biliary cholangitis, primary biliary cirrhosis. Shown are studies labeled as recruiting, not yet recruiting, or with unknown status. Studies primary modulating bile acids are not mentioned. Date of access to the website clinicaltrials.gov: 1 February 2021.
| Clinical Trials Identifier | Intervention | Disease | Study Design | First Posted | Status | Outcome Measures | Estimated Completion |
|---|---|---|---|---|---|---|---|
| NCT04678219 | Diet (specific carbohydrate diet or a vegan/low-sulfur diet for 8 weeks) | PSC | Open label, randomized | 12/20 | Recruiting | Shannon Diversity Index, ALP levels | 2021 |
| NCT03710122 | Vancomycin | PSC | Prospective, randomized, multi-centered, placebo-controlled | 10/18 | Recruiting | ALP levels (6 to 24 months), elastography | 2022 |
| NCT03561584 | Sulfasalazine | PSC | Randomized, placebo-controlled | 7/18 | Recruiting | ALP, AST, ALT, bilirubin, CRP, Mayo PSC risk score, modified fatigue scale, pruritus visual analog scale | 2020 (?) |
| NCT02605213 | Vancomycin | PSC (pediatric) | Open label, interventional | 5/14 | Recruiting | No exact information | 2028 |
| NCT00161148 | Probiotics (not further defined) | PSC | Randomized, interventional | 2005 | Unknown | Serum liver tests, pruritus, fatique | 2006 (?) |
| NCT02137668 | Vancomycin | PSC | Randomized, interventional | 11/15 | Unknown | ALP, AST, ALT, GGT, bilirubin, albumin | 2016 (?) |
| NCT03069976 | Metronidazole | PSC (pediatric) | Interventional | 1/16 | Recruiting | AST, ALT, GGT, microbiome composition, bile acid profil | 2020 (?) |
| NCT03521297 | Probiotics (Micro V Probiotics) | PBC | Randomized, interventional | 1/20 | Not yet recruiting | ALP, GGT | 2021 |
PSC = primary sclerosing cholangitis; PBC = primary biliary cholangitis, ALP = alkaline phosphatase, GGT = gamma glutamyl transferase, AST = aspartate aminotransferase, ALT = alanine transaminase, CRP = C-reactive protein, (?) = studies with estimated completion in the past.
Some future research questions concerning the gut-liver axis in chronic cholestatic liver diseases.
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