Skip to main navigation Skip to search Skip to main content

Alcohol-related liver disease disrupts bile acid homeostasis and gut microbial bile acid metabolism

  • Marisa Isabell Keller
  • , Andressa de Zawadzki
  • , Maja Thiele
  • , Tommi Suvitaival
  • , Karolina Sulek
  • , Michael Kuhn
  • , Christian Schudoma
  • , Daniel Podlesny
  • , Suguru Nishijima
  • , Anthony Fullam
  • , Chan Yeong Kim
  • , Lili Niu
  • , Asger Wretlind
  • , Johanne Krag Hansen
  • , Mads Israelsen
  • , Stine Johansen
  • , Wasiu Akanni
  • , Diënty Hazenbrink
  • , Helene Baek Juel
  • , Matthias Mann
  • Torben Hansen, Aleksander Krag, Peer Bork, Cristina Legido-Quigley*
*Corresponding author for this work
  • European Molecular Biology Laboratory
  • Steno Diabetes Center Copenhagen
  • Novo Nordisk
  • University of Copenhagen
  • Max Planck Institute of Biochemistry
  • Max-Delbrück-Center for Molecular Medicine (MDC), Berlin-Buch, Germany, Germany.
  • Julius-Maximilian University of Würzburg
  • King's College London

Research output: Contribution to journalJournal articleResearchpeer-review

6 Downloads (Pure)

Abstract

Background & Aims: Alcohol overuse disrupts liver function and alters gut microbial communities, with alcohol-related liver disease (ALD) causing half of all liver-related deaths worldwide. Bile acids (BAs) regulate liver and gut function, but their homeostasis becomes disrupted in ALD. Gut microbes transform primary BAs to secondary BAs, which are reabsorbed via enterohepatic circulation, but BA metabolism during ALD progression remains poorly understood. Methods: We investigated BA homeostasis in a cross-sectional ALD cohort (n = 462), alongside matched healthy controls (n = 148), and validated key findings in two independent ALD cohorts (n = 34 and n = 52). We integrated BA concentrations, measured by targeted mass spectrometry in feces and plasma, with liver proteomics and gut microbiome profiles from metagenomic and metatranscriptomic sequencing. Results: Advanced fibrosis states were associated with decreased hepatic BA synthesis, impaired hepatic BA uptake from blood but with increased levels of primary and secondary BAs in plasma (inprimis, taurocholic acid: F = 69.9, p = 8.6e-66) and feces (inprimis, cholic acid: F = 5.5, p = 1.4e-4). The abundance of microbial secondary BA dehydroxylation and epimerization pathways in the gut microbiome community increased with disease severity. Genes encoding the oxidation arm in the multistep dehydroxylation pathway (including baiB) increased, whereas those in the reduction arm (baiN) were depleted. In patients with ALD, we suggest Eggerthella lenta, Mediterraneibacter torques, and Bacteroides thetaiotaomicron as relevant microbes for BA metabolism. Conclusion: Fibrotic ALD is characterized by disrupted primary BA synthesis and hepatic uptake, leading to hepatotoxic BA accumulation in the gut and blood circulation. Altered microbial secondary BA metabolism reflects a functional shift in the gut microbiome throughout the fibrosis stages. Our findings highlight the gut–liver axis as an important factor influencing ALD progression, even in early, asymptomatic fibrosis stages. Impact and implications: This study shows that integrating different omics approaches provides insight into metabolic disruptions across the gut–liver axis that drive ALD progression. Additionally, our study identifies specific bacterial species influencing BA concentrations in ALD using data from human fecal metagenomics and metatranscriptomics. These findings could inform the design of future therapeutic targets focusing on either the liver or the gut for treating ALD.

Original languageEnglish
Article number101848
JournalJHEP Reports
Volume8
Issue number7
ISSN2589-5559
DOIs
Publication statusPublished - Jul 2026

Keywords

  • Enterohepatic circulation
  • Gut microbiome
  • Gut–liver axis
  • Steatotic liver disease (SLD)

Fingerprint

Dive into the research topics of 'Alcohol-related liver disease disrupts bile acid homeostasis and gut microbial bile acid metabolism'. Together they form a unique fingerprint.

Cite this