Evidence map›Paper›PMID 31949405›Full record

ReviewDialogues in clinical neuroscience2019

Transcriptional mechanisms of drug addiction
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Purva Bali, Paul J Kenny

Open access · diamondAbstract readReview
In one paragraph

Review in Dialogues in clinical neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

29 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Alternative splicing in addiction.Current opinion in genetics & development · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. DIETARY REGULATION OF SILENT SYNAPSES IN THE DORSOLATERAL STRIATUM.bioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Astrocytic transcriptional and epigenetic mechanisms of drug addiction.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    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

2 authors at 1 institution in 1 country.

Purva BaliNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Paul J KennyNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · US

Funding

Transcription Factors in Stimulant and Opioid ActionP01DA047233 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Anne Schaefer · 2019 to 2026
$16.5M
NIDA NIH HHS P01 DA047233
6 · The paper itself

Abstract

Drugs of abuse can modify gene expression in brain reward and motivation centers, which contribute to the structural and functional remodeling of these circuits that impacts the emergence of a state of addiction. Our understanding of how addictive drugs induce transcriptomic plasticity in addiction-relevant brain regions, particularly in the striatum, has increased dramatically in recent years. Intracellular signaling machineries, transcription factors, chromatin modifications, and regulatory noncoding RNAs have all been implicated in the mechanisms through which addictive drugs act in the brain. Here, we briefly summarize some of the molecular mechanisms through which drugs of abuse can exert their transcriptional effects in the brain region, with an emphasis on the role for microRNAs in this process.
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Indexed as

AnimalsBehavior, AddictiveBrainCorpus StriatumHumansMicroRNAsRewardSubstance-Related DisordersMicroRNAsaddictionBDNFcocaineMeCP2microRNAstriatumtranscription factor

Identifiers

PMID31949405
PMCPMC6952748
OpenAlexW3005378923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.