Evidence map›Paper›PMID 24358208›Full record

ArticlePloS one2013

Integration of miRNA and protein profiling reveals coordinated neuroadaptations in the alcohol-dependent mouse brain.

Giorgio Gorini, Yury O Nunez, R Dayne Mayfield

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Role of microRNAs in the pathophysiology of addiction.Wiley interdisciplinary reviews. RNA · 2021
    Pooled it
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  12. Noncoding RNA therapeutics for substance use disorder.Advances in drug and alcohol research · 2022
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Giorgio GoriniWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, Texas, United States of America.
Yury O NunezWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, Texas, United States of America.
R Dayne MayfieldWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, Texas, United States of America.
The University of Texas at Austin · US

Funding

GENE EXPRESSION IN THE HUMAN ALCOHOLIC BRAINR01AA012404 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI MAYFIELD, ROY DAYNE · 2000 to 2025
$10.7M
Next Generation Sequencing of Human Alcoholic BrainU01AA020926 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI Roy DAYNE MAYFIELD · 2011 to 2026
$6.7M
Novel molecular and cellular approaches for alcoholism medication developmentP01AA020683 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI PONOMAREV, IGOR · 2012 to 2016
$3.3M
Next-gen sequencing: searching for mechanisms of alcohol and nicotine dependenceRC2AA019382 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI MAYFIELD, R. DAYNE · 2009 to 2010
$1.7M
Alcohol-responsive protein networks underlying excessive ethanol consumptionU01AA016648 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI MAYFIELD, R. DAYNE · 2006 to 2010
$776k
NIAAA NIH HHS AA0107838NIAAA NIH HHS AA016648NIAAA NIH HHS AA019382NIAAA NIH HHS AA020683NIAAA NIH HHS P01 AA020683NIAAA NIH HHS R01 AA012404NIAAA NIH HHS RC2 AA019382NIAAA NIH HHS U01 AA016648NIAAA NIH HHS U01 AA020926
6 · The paper itself

Abstract

The molecular mechanisms underlying alcohol dependence involve different neurochemical systems and are brain region-dependent. Chronic Intermittent Ethanol (CIE) procedure, combined with a Two-Bottle Choice voluntary drinking paradigm, represents one of the best available animal models for alcohol dependence and relapse drinking. MicroRNAs, master regulators of the cellular transcriptome and proteome, can regulate their targets in a cooperative, combinatorial fashion, ensuring fine tuning and control over a large number of cellular functions. We analyzed cortex and midbrain microRNA expression levels using an integrative approach to combine and relate data to previous protein profiling from the same CIE-subjected samples, and examined the significance of the data in terms of relative contribution to alcohol consumption and dependence. MicroRNA levels were significantly altered in CIE-exposed dependent mice compared with their non-dependent controls. More importantly, our integrative analysis identified modules of coexpressed microRNAs that were highly correlated with CIE effects and predicted target genes encoding differentially expressed proteins. Coexpressed CIE-relevant proteins, in turn, were often negatively correlated with specific microRNA modules. Our results provide evidence that microRNA-orchestrated translational imbalances are driving the behavioral transition from alcohol consumption to dependence. This study represents the first attempt to combine ex vivo microRNA and protein expression on a global scale from the same mammalian brain samples. The integrative systems approach used here will improve our understanding of brain adaptive changes in response to drug abuse and suggests the potential therapeutic use of microRNAs as tools to prevent or compensate multiple neuroadaptations underlying addictive behavior.

Indexed as

AlcoholismAdaptation, PhysiologicalAnimalsBrainEthanolGene Expression ProfilingGene Regulatory NetworksMaleMiceMice, Inbred C57BLMicroRNAsNeuronsProteomeSystems IntegrationTranscriptomeEthanolMicroRNAsProteome

Identifiers

PMID24358208
PMCPMC3865091
OpenAlexW2077070485

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.