Evidence map›Paper›PMID 24313166›Full record

ReviewAlcohol research : current reviews2013

Epigenetic control of gene expression in the alcoholic brain.

Igor Ponomarev

Open access · greenAbstract readReview
In one paragraph

Review in Alcohol research : current reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

44 citing papers in PubMed, 72 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Molecular mechanisms of alcohol's effects on the human body: A review and update.Journal of biochemical and molecular toxicology · 2023
    Review
  6. Article
  7. Review
  8. Article
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  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Insights from intoxicated Drosophila.Alcohol (Fayetteville, N.Y.) · 2019
    Review
  17. DoesFrontiers in neuroscience · 2019
    Article
  18. Article
  19. Epigenetic Mechanisms of Alcohol Neuroadaptation: Insights fromJournal of experimental neuroscience · 2018
    Review
  20. Review
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

1 author at 1 institution in 1 country.

Igor PonomarevWaggoner Center fsor Alcohol and Addicion Research, College of Pharmacy, University of Texas at Austin, Austin, Texas, USA.
Austin College · US

Funding

Molecular Mechanisms of Cellular Plasticity in a Mouse Model of Excessive AlcoholK01AA017234 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI PONOMAREV, IGOR · 2008 to 2012
$700k
NIAAA NIH HHS K-AA-017234
6 · The paper itself

Abstract

Chronic alcohol exposure causes widespread changes in brain gene expression in humans and animal models. Many of these contribute to cellular adaptations that ultimately lead to behavioral tolerance and alcohol dependence. There is an emerging appreciation for the role of epigenetic processes in alcohol-induced changes in brain gene expression and behavior. For example, chronic alcohol exposure produces changes in DNA and histone methylation, histone acetylation, and microRNA expression that affect expression of multiple genes in various types of brain cells (i.e., neurons and glia) and contribute to brain pathology and brain plasticity associated with alcohol abuse and dependence. Drugs targeting the epigenetic "master regulators" are emerging as potential therapeutics for neurodegenerative disorders and drug addiction.

Indexed as

AlcoholismAnimalsBehaviorBrainCentral Nervous System DepressantsEpigenesis, GeneticEthanolHumansCentral Nervous System DepressantsEthanol

Identifiers

PMID24313166
PMCPMC3860426
OpenAlexW186097707

What OpenQuestion holds

Textmetadata
LicenceCC0
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.