Abstract

Liver damage due to chronic alcohol use is among the most prevalent liver diseases. Alcohol consumption frequency is a strong factor of microbiota variance. Here we use isotope labeled [1-13C] ethanol, metagenomics, and metatranscriptomics in ethanol-feeding and intragastric mouse models to investigate the metabolic impacts of alcohol consumption on the gut microbiota. First, we show that although stable isotope labeled [1-13C] ethanol contributes to fatty acid pools in the liver, plasma, and cecum contents of mice, there is no evidence of ethanol metabolism by gut microbiota ex vivo under anaerobic conditions. Next, we observe through metatranscriptomics that the gut microbiota responds to ethanol-feeding by activating acetate dissimilation, not by metabolizing ethanol directly. We demonstrate that blood acetate concentrations are elevated during ethanol consumption. Finally, by increasing systemic acetate levels with glyceryl triacetate supplementation, we do not observe any impact on liver disease, but do induce similar gut microbiota alterations as chronic ethanol-feeding in mice. Our results show that ethanol is not directly metabolized by the gut microbiota, and changes in the gut microbiota linked to ethanol are a side effect of elevated acetate levels. De-trending for these acetate effects may be critical for understanding gut microbiota changes that cause alcohol-related liver disease.

Chronic alcohol use is associated with intestinal bacterial overgrowth and dysbiosis, but the contribution of ethanol is unclear. Here, using mouse models, the authors find that ethanol is not directly metabolized by the gut microbiota, and that induced changes are rather a side effect of elevated acetate levels.

Details

Title
Acetate reprograms gut microbiota during alcohol consumption
Author
Martino, Cameron 1   VIAFID ORCID Logo  ; Zaramela, Livia S. 2   VIAFID ORCID Logo  ; Gao, Bei 3   VIAFID ORCID Logo  ; Embree, Mallory 4 ; Tarasova, Janna 2 ; Parker, Seth J. 4   VIAFID ORCID Logo  ; Wang, Yanhan 3 ; Chu, Huikuan 3 ; Chen, Peng 3 ; Lee, Kuei-Chuan 3 ; Galzerani, Daniela Domingos 2 ; Gengatharan, Jivani M. 5 ; Lekbua, Asama 2 ; Neal, Maxwell 2 ; Knight, Rob 6   VIAFID ORCID Logo  ; Tsukamoto, Hidekazu 7 ; Metallo, Christian M. 5 ; Schnabl, Bernd 8 ; Zengler, Karsten 9   VIAFID ORCID Logo 

 University of California San Diego, Department of Pediatrics, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); University of California San Diego, Center for Microbiome Innovation, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); University of California San Diego, Bioinformatics and Systems Biology Program, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242) 
 University of California San Diego, Department of Pediatrics, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242) 
 University of California San Diego, Department of Medicine, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242) 
 University of California, Department of Bioengineering, San Diego, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242) 
 University of California, Department of Bioengineering, San Diego, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); The Salk Institute for Biological Studies, Molecular and Cellular Biology Laboratory, La Jolla, USA (GRID:grid.250671.7) (ISNI:0000 0001 0662 7144) 
 University of California San Diego, Department of Pediatrics, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); University of California San Diego, Center for Microbiome Innovation, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); University of California, Department of Bioengineering, San Diego, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); University of California San Diego, Department of Computer Science and Engineering, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242) 
 Southern California Research Center for ALPD and Cirrhosis and Department of Pathology, La Jolla, USA (GRID:grid.266100.3); Department of Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, USA (GRID:grid.417119.b) (ISNI:0000 0001 0384 5381) 
 University of California San Diego, Center for Microbiome Innovation, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); University of California San Diego, Department of Medicine, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); VA San Diego Healthcare System, Department of Medicine, San Diego, USA (GRID:grid.410371.0) (ISNI:0000 0004 0419 2708) 
 University of California San Diego, Department of Pediatrics, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); University of California San Diego, Center for Microbiome Innovation, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); University of California, Department of Bioengineering, San Diego, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2699838564
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.