Evidence map›Paper›PMID 29786878›Full record

ArticleAlcoholism, clinical and experimental research2018

Dietary Omega-3 Fatty Acids Differentially Impact Acute Ethanol-Responsive Behaviors and Ethanol Consumption in DBA/2J Versus C57BL/6J Mice.

Jennifer T Wolstenholme, M Scott Bowers, Alexander B Pais, A Christian Pais, Ryan S Poland, Justin L Poklis, Andrew G Davies, Jill C Bettinger

Abstract readComparative Study
In one paragraph

Article in Alcoholism, clinical and experimental research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% of its field
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, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Jennifer T WolstenholmeDepartment of Pharmacology and Toxicology , Virginia Commonwealth University, Richmond, Virginia.
M Scott BowersDepartment of Biomedical Engineering , Faulk Center for Molecular Therapeutics, Northwestern University, Chicago, Illinois.
Alexander B PaisVCU-Alcohol Research Center, Virginia Commonwealth University, Richmond, Virginia.
A Christian PaisVCU-Alcohol Research Center, Virginia Commonwealth University, Richmond, Virginia.
Ryan S PolandVCU-Alcohol Research Center, Virginia Commonwealth University, Richmond, Virginia.
Justin L PoklisDepartment of Pharmacology and Toxicology , Virginia Commonwealth University, Richmond, Virginia.
Andrew G DaviesDepartment of Pharmacology and Toxicology , Virginia Commonwealth University, Richmond, Virginia.
Jill C BettingerDepartment of Pharmacology and Toxicology , Virginia Commonwealth University, Richmond, Virginia.ORCID 0000-0002-9002-5361
Virginia Commonwealth University · USNorthwestern University · US

Funding

Project 5 - Genetic architecture of alcohol use disorder using cross-trait genetic correlations and public next-generation sequencing studiesP50AA022537 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI JILL C BETTINGER · 2014 to 2026
$19.6M
VCU Center for Drug Addiction ResearchP30DA033934 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Matthew Sean Halquist · 2014 to 2026
$13.8M
NIAAA NIH HHS P50 AA022537NIDA NIH HHS P30 DA033934
6 · The paper itself

Abstract

backgroundComplex interactions between environmental and genetic factors influence the risk of developing alcohol use disorder (AUD) in humans. To date, studies of the impact of environment on AUD risk have primarily focused on psychological characteristics or on the effects of developmental exposure to ethanol (EtOH). We recently observed that modifying levels of the long-chain ω-3 (LC ω-3) fatty acid, eicosapentaenoic acid (EPA), alters acute physiological responses to EtOH in Caenorhabditis elegans. Because mammals derive ω-3 fatty acids from their diet, here we asked if manipulating dietary levels of LC ω-3 fatty acids can affect EtOH-responsive behaviors in mice.

methodsWe used 2 well-characterized inbred mouse strains, C57BL/6J (B6) and DBA/2J (D2), which differ in their responses to EtOH. Age-matched young adult male mice were maintained on isocaloric diets that differed only by being enriched or depleted in LC ω-3 fatty acids. Animals were subsequently tested for acute EtOH sensitivity (locomotor activation and sedation), voluntary consumption, and metabolism. Fat deposition was also determined.

resultsWe found that dietary levels of LC ω-3s altered EtOH sensitivity and consumption in a genotype-specific manner. Both B6 and D2 animals fed high LC ω-3 diets demonstrated lower EtOH-induced locomotor stimulation than those fed low LC ω-3 diets. EtOH sedation and EtOH metabolism were greater in D2, but not B6 mice on the high LC ω-3 diet. Conversely, LC ω-3 dietary manipulation altered EtOH consumption in B6, but not in D2 mice. B6 mice on a high LC ω-3 diet consumed more EtOH in a 2-bottle choice intermittent access model than B6 mice on a low LC ω-3 diet.

conclusionsBecause EtOH sensitivity is predictive of risk of developing AUD in humans, our data indicate that dietary LC ω-3 levels should be evaluated for their impact on AUD risk in humans. Further, these studies indicate that genetic background can interact with fatty acids in the diet to significantly alter EtOH-responsive behaviors.

Indexed as

DietAlcohol DrinkingAlcoholismAnimalsBehavior, AnimalEthanolFatty Acids, Omega-3MaleMiceMice, Inbred C57BLMice, Inbred DBASpecies SpecificityEthanolFatty Acids, Omega-3Eicosapentaenoic AcidEtOH ConsumptionEtOH Locomotor ActivationEtOH Sensitivityω-3 Fatty Acid

Identifiers

PMID29786878
PMCPMC6250591
OpenAlexW2803920473

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.