Evidence map›Paper›PMID 38886761›Full record

ArticleMicrobiome2024

Short-chain fatty acid valerate reduces voluntary alcohol intake in male mice.

Suresh C Bokoliya, Jordan Russell, Yair Dorsett, Hunter A Panier, Vijender Singh, Lauren Daddi, Hanshu Yuan, Liv R Dedon, Zhongmao Liu, Yuqi Zhou and 5 more

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Suresh C BokoliyaDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Jordan RussellDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Yair DorsettDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Hunter A PanierDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Vijender SinghComputational Biology Core, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Lauren DaddiDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Hanshu YuanDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Liv R DedonDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Zhongmao LiuDepartment of Statistics, University of Connecticut, Storrs, CT, 06269, USA.
Yuqi ZhouDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Zefang MinDepartment of Statistics, University of Connecticut, Storrs, CT, 06269, USA.
Jessica R BarsonDepartment of Neurobiology & Anatomy, Drexel University College of Medicine, Philadelphia, PA, 19129, USA.
Jonathan CovaultDepartment of Psychiatry, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Jason A BubierThe Jackson Laboratory, Bar Harbor, ME, 04609, USA.
Yanjiao ZhouDepartment of Medicine, University of Connecticut Health Center, Farmington, CT, 06030, USA. yazhou@uchc.edu.

Funding

Genetic Control of Addiction by Host and MicrobiomeU01DA043809 · NIDA · JACKSON LABORATORY · PI BUBIER, JASON A, ZHOU, YANJIAO · 2018 to 2022
$4.0M
The role of the gut microbiome as a non-genetic factor in influencing excessive alcohol drinking.R21AA027858 · NIAAA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ZHOU, YANJIAO · 2020 to 2021
$444k
NIAAA NIH HHS R21 AA027858NIDA NIH HHS U01 DA043809
6 · The paper itself

Abstract

backgroundDespite serious health and social consequences, effective intervention strategies for habitual alcohol binge drinking are lacking. The development of novel therapeutic and preventative approaches is highly desirable. Accumulating evidence in the past several years has established associations between the gut microbiome and microbial metabolites with drinking behavior, but druggable targets and their underlying mechanism of action are understudied.

resultsHere, using a drink-in-the-dark mouse model, we identified a microbiome metabolite-based novel treatment (sodium valerate) that can reduce excessive alcohol drinking. Sodium valerate is a sodium salt of valeric acid short-chain fatty acid with a similar structure as γ-aminobutyric acid (GABA). Ten days of oral sodium valerate supplementation attenuates excessive alcohol drinking by 40%, reduces blood ethanol concentration by 53%, and improves anxiety-like or approach-avoidance behavior in male mice, without affecting overall food and water intake. Mechanistically, sodium valerate supplementation increases GABA levels across stool, blood, and amygdala. It also significantly increases H4 acetylation in the amygdala of mice. Transcriptomics analysis of the amygdala revealed that sodium valerate supplementation led to changes in gene expression associated with functional pathways including potassium voltage-gated channels, inflammation, glutamate degradation, L-DOPA degradation, and psychological behaviors. 16S microbiome profiling showed that sodium valerate supplementation shifts the gut microbiome composition and decreases microbiome-derived neuroactive compounds through GABA degradation in the gut microbiome.

conclusionOur findings suggest that sodium valerate holds promise as an innovative therapeutic avenue for the reduction of habitual binge drinking, potentially through multifaceted mechanisms. Video Abstract.

Indexed as

gamma-Aminobutyric AcidGastrointestinal MicrobiomeAlcohol DrinkingAmygdalaAnimalsBinge DrinkingDisease Models, AnimalEthanolFatty Acids, VolatileMaleMiceMice, Inbred C57BLPentanoic AcidsEthanolFatty Acids, Volatilegamma-Aminobutyric AcidPentanoic AcidsAlcohol drinkingGABAMicrobiomeSCFASodium valerate

Identifiers

PMID38886761
PMCPMC11181657

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.