Gut microbiota, cirrhosis, and alcohol regulate bile acid metabolism in the gut
Open accessAbstract
The understanding of the complex role of the bile acid-gut microbiome axis in health and disease processes is evolving rapidly. Our focus revolves around the interaction of the gut microbiota with liver diseases, especially cirrhosis. The bile acid pool size has recently been shown to be a function of microbial metabolism of bile acid, and regulation of the microbiota by bile acids is important in the development and progression of several liver diseases. Humans produce a large, conjugated hydrophilic bile acid pool, maintained through positive-feedback antagonism of farnesoid X receptor (FXR) in the intestine and liver. Microbes use bile acids, and via FXR signaling this results in a smaller, unconjugated hydrophobic bile acid pool. This equilibrium is critical to maintain health. The challenge is to examine the manifold functions of gut bile acids as modulators of antibiotic, probiotic, and disease progression in cirrhosis, metabolic syndrome, and alcohol use. Recent studies have shown potential mechanisms explaining how perturbations in the microbiome affect bile acid pool size and composition. With advancing liver disease and cirrhosis, there is dysbiosis in the fecal, ileal, and colonic mucosa, in addition to a decrease in bile acid concentration in the intestine due to the liver problems. This results in a dramatic shift toward the Firmicutes, particularly Clostridium cluster XIVa, and increasing production of deoxycholic acid. Alcohol intake speeds up these processes in the subjects with and without cirrhosis without significant FXR feedback. Taken together, these pathways can impact intestinal and systemic inflammation while worsening dysbiosis. The interaction between bile acids, alcohol, cirrhosis, and dysbiosis is an important relationship that influences intestinal and systemic inflammation, which in turn determines progression of the overall disease process. These interactions and the impact of commonly used therapies for liver disease can provide insight into the pathogenesis of inflammation in humans.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Clostridium scindens belongs to the genus Lachnoclostridium and is known to convert CDCA to UDCA by oxidation and epimerization of specific hydroxy groups.
“Clostridium scindens belongs to the genus Lachnoclostridium,46 and is known to convert CDCA to UDCA by oxidation and epimerization of specific hydroxy groups47; it may explain our findings in correlation analysis.”
From Gut microbiota and metabolites associate with outcomes of immune checkpoint inhibitor–treated unresectable hepatocellular carcinoma (2022) · cites this paper as [46]
The section “Modification of Bile Acids by Microbiota in Healthy Individuals” (p. 4) describes conversion of chenodeoxycholic acid (CDCA) to UDCA by epimerization of its 7α-hydroxy group. It identifies Clostridium absonum as a species with both relevant enzyme activities, but does not say that C. scindens performs this conversion. The separate genus claim is attached to citation 46, not the citation being audited. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 38 · Cited by 109
Research works printed but not linked: 1
- 8 Reddy BS, Wynder EL: Metabolic epidemiology of colon cancer: fecal bile acids and neutral sterols in colon cancer patients with adenomatous polyps. Cancer 1977; 39: 25332539.
- Authors
- Ridlon, J. M., Kang, D.-J., Hylemon, P. B., & Bajaj, J. S.
- Affiliations
- Virginia Commonwealth University (US)
- Hunter Holmes McGuire VA Medical Center (US)
- Corresponding author
- Bajaj, Jasmohan S.
- Venue
- Digestive Diseases
- Publisher
- S. Karger AG
- Published
- 2015
- Volume
- 33
- Issue
- 3
- Pages
- 338-345
- ISSN
- 0257-2753 (ISSN-L)
- 1421-9875
- PMC
- PMC4470395
- OpenAlex
- W1605734368
- Cited by
- 109
- References
- 38
- Citations by year
- 2026: 9 · 2025: 4 · 2024: 12 · 2023: 14 · 2022: 10 · 2021: 14 · 2020: 12 · 2019: 10 · 2018: 9 · 2017: 8 · 2016: 7
- FWCI
- 3.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Digestive Diseases (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Veterans Affairs (I01 CX001076)
- National Institute on Alcohol Abuse and Alcoholism (R01AA020203)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK087913)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Health Sciences › Medicine › Hepatology › Liver Disease and Transplantation
- Keywords
- gut microbiota, liver cirrhosis, bile acid metabolism, farnesoid X receptor, dysbiosis, alcohol consumption, deoxycholic acid, Clostridium cluster XIVa, Firmicutes, intestinal inflammation, systemic inflammation, liver disease progression, probiotics, antibiotic therapy
- MeSH terms
- Gastrointestinal Microbiome, Alcohol Drinking, Ethanol, Bile Acids and Salts, Feces, Humans, Liver Cirrhosis, Signal Transduction, Probiotics, Dysbiosis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review