Evidence map›Paper›PMID 25172478›Full record

ReviewInternational review of neurobiology2014

Gene expression in the addicted brain.

Zhifeng Zhou, Mary-Anne Enoch, David Goldman

Abstract readReview
In one paragraph

Review in International review of neurobiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Circular RNA regulation and function in drug seeking phenotypes.Molecular and cellular neurosciences · 2023
    Review
  3. Article
  4. Signal Transduction and Gene Regulation in the Endothelium.Cold Spring Harbor perspectives in medicine · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Sex differences in GABAGenes, brain, and behavior · 2022
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Drug addiction: a curable mental disorder?Acta pharmacologica Sinica · 2018
    Review
  19. Article
  20. Article
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

3 authors.

Zhifeng ZhouLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA. Electronic address: zhouz@mail.nih.gov.
Mary-Anne EnochLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.
David GoldmanLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA.

Funding

Integrative genetics of behavior with high throughput technologiesZIAAA000301 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$68.6M
Gene-Environment Interations Underlying Alcoholism Vulnerability DisordersZIAAA000306 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2016
$839k
Intermediate Phenotypes for Alcoholism &AnxietyZ01AA000280 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 1990 to 2008
$491k
Gene-Environment Interations Underlying Alcoholism Vulnerability DisordersZ01AA000306 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2006 to 2008
$122k
Intramural NIH HHS Z01 AA000280Intramural NIH HHS Z01 AA000306
6 · The paper itself

Abstract

Addiction is due to changes in the structure and function of the brain, including neuronal networks and the cells that comprise them. Within cells, gene expression changes can track and help explain their altered function. Transcriptional changes induced by addictive agents are dynamic and divergent and range from signal pathway-specific perturbations to widespread molecular and cellular dysregulation that can be measured by "omic" methods and that can be used to identify new pathways. The molecular effects of addiction depend on timing of exposure or withdrawal, the stage of adaptation, the brain region, and the behavioral model, there being many models of addiction. However, the molecular neural adaptations across different drug exposures, conditions, and regions are to some extent shared and can reflect common actions on pathways relevant to addiction. Epigenetic studies of DNA methylation and histone modifications and studies of regulatory RNA networks have been informative for elucidating the mechanisms of transcriptional change in the addicted brain.

Indexed as

Gene ExpressionAnimalsBrainGene Expression RegulationGene Regulatory NetworksHumansSignal TransductionSubstance-Related DisordersAddictionAlcoholCocaineGrm2HippocampusHuman postmortem analysisP ratsSelectively bred animal modelsSubstance-specific and shared expression changesTranscriptome analysis

Identifiers

PMID25172478
PMCPMC4427035

What OpenQuestion holds

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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.