Evidence map›Paper›PMID 41165608›Full record

ArticleAlcohol, clinical & experimental research2025

Predicted functional alterations in colonic microbiota metabolism underlie ethanol consumption and preference behavior in mice.

Mírian Velten Mendes, Thiago Cavalcante Lima, Mariana Siqueira Amormino, Jamil Silvano de Oliveira, Fernanda Lima Alvarenga Barroso, Gaëlle Boudry, Renato Elias Moreira-Júnior, Ana Lúcia Brunialti-Godard

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Article in Alcohol, clinical & experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mírian Velten MendesLaboratório de Genética Animal e Humana, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0009-0003-8672-2599
Thiago Cavalcante LimaLaboratório de Genética Animal e Humana, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0009-0009-3087-1310
Mariana Siqueira AmorminoLaboratório de Genética Animal e Humana, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Jamil Silvano de OliveiraDepartamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Fernanda Lima Alvarenga BarrosoLaboratório de Genética Animal e Humana, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0001-8422-1131
Gaëlle BoudryInstitut NuMeCan, INRAE, INSERM, University Rennes, Rennes, France.ORCID https://orcid.org/0000-0002-5287-571X
Renato Elias Moreira-JúniorLaboratório de Genética Animal e Humana, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0002-8169-0255
Ana Lúcia Brunialti-GodardLaboratório de Genética Animal e Humana, Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0001-5719-8802

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 406958/2022Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-03984-24Fundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-045517-22Instituto Nacional de Ciências e Tecnologia sobre Substâncias PsicoativasPós-Graduação em Genética (ICB/UFMG)Pró-Reitoria de Pesquisa, Universidade Federal de Minas Gerais
6 · The paper itself

Abstract

backgroundAlcohol use disorder (AUD) is a complex condition affecting several body systems. Gut microbiota alterations, intestinal-barrier disruption, and the consequent translocation of metabolites foster chronic inflammation, lower short-chain fatty acid (SCFA) output, and depleted beneficial bacteria may contribute to transcriptional, epigenetic, and metabolic changes that influence ethanol preference.

methodsTwo experimental phases were used. T1 (8 weeks): mice received either the American Institute of Nutrition standard diet (AING) or a high-sugar-butter (HSB) diet. T2 (4 weeks): HSB animals switched to AING (SWITCH), while AING mice maintained the same diet. Each diet arm was split into ethanol (EtOH; free access to 10% ethanol) or H

resultsSWITCH + EtOH mice displayed high ethanol consumption and preference, whereas AING + EtOH mice showed ethanol aversion. Their colonic microbiota differed markedly; amino acid metabolism fell, secondary bile acid synthesis rose, and SCFA production dropped in SWITCH + EtOH animals. Direct measurements confirmed significant reductions in butyrate, acetate, propionate, and selected amino acids. Network analysis revealed enrichment of bacterial metabolism, oxidative stress, and dopamine pathway genes.

conclusionsDiet-induced dysbiosis, reflected in shifts in microbiota-derived metabolites, was associated with excessive alcohol intake; the metabolites identified can represent potential therapeutic targets for AUD.

Indexed as

Alcohol DrinkingColonEthanolGastrointestinal MicrobiomeAnimalsFatty Acids, VolatileMaleMiceMice, Inbred C57BLEthanolFatty Acids, Volatilealcohol use disorderdysbiosisethanol preferencegut microbiotametabolites

Identifiers

PMID41165608
PMCPMC12638287

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.