Evidence map›Paper›PMID 30989210›Full record

ArticleThe international journal of neuropsychopharmacology2019

Overexpression of miR-9 in the Nucleus Accumbens Increases Oxycodone Self-Administration.

Maria Mavrikaki, Eleni Anastasiadou, Recep A Ozdemir, David Potter, Carolin Helmholz, Frank J Slack, Elena H Chartoff

Open access · goldAbstract read
In one paragraph

Article in The international journal of neuropsychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 26% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Role of microRNAs in the pathophysiology of addiction.Wiley interdisciplinary reviews. RNA · 2021
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Oxycodone, an opioid like the others?Frontiers in psychiatry · 2023
    Review
  10. Article
  11. Article
  12. Noncoding RNA therapeutics for substance use disorder.Advances in drug and alcohol research · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Lasting effects of repeated ∆British journal of pharmacology · 2020
    Article
  17. Review
  18. Article
  19. 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

7 authors at 3 institutions in 1 country.

Maria MavrikakiDepartment of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, Massachusetts.
Eleni AnastasiadouDepartment of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Recep A OzdemirDepartment of Neurology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
David PotterDepartment of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, Massachusetts.
Carolin HelmholzDepartment of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, Massachusetts.
Frank J SlackDepartment of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Elena H ChartoffDepartment of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, Massachusetts.
Harvard University · USBeth Israel Deaconess Medical Center · USMcLean Hospital · US

Funding

Neurobiological mechanisms of prescription opioid withdrawalR01DA045000 · NIDA · MCLEAN HOSPITAL · PI CHARTOFF, ELENA H · 2017 to 2021
$2.1M
NIDA NIH HHS R01 DA045000
6 · The paper itself

Abstract

backgroundThere is an urgent need to identify factors that increase vulnerability to opioid addiction to help stem the opioid epidemic and develop more efficient pharmacotherapeutics. MicroRNAs are small non-coding RNAs that regulate gene expression at a posttranscriptional level and have been implicated in chronic drug-taking in humans and in rodent models. Recent evidence has shown that chronic opioid treatment regulates the microRNA miR-9. The present study was designed to test the hypothesis that miR-9 in the nucleus accumbens potentiates oxycodone addictive-like behavior.

methodsWe utilized adeno-associated virus (AAV) to overexpress miR-9 in the nucleus accumbens of male rats and tested the effects on intravenous self-administration of the highly abused prescription opioid, oxycodone, in 1-hour short-access followed by 6-h long-access sessions, the latter of which leads to escalation of drug intake. In separate rats, we assessed the effects of nucleus accumbens miR-9 overexpression on mRNA targets including RE1-silencing transcription factor (REST) and dopamine D2 receptor (DRD2), which have been shown to be regulated by drugs of abuse.

resultsOverexpression of miR-9 in the nucleus accumbens significantly increased oxycodone self-administration compared with rats expressing a control, scrambled microRNA. Analysis of the pattern of oxycodone intake revealed that miR-9 overexpression increased "burst" episodes of intake and decreased the inter-infusion interval. Furthermore, miR-9 overexpression decreased the expression of REST and increased DRD2 in the nucleus accumbens at time points that coincided with behavioral effects.

conclusionsThese results suggest that nucleus accumbens miR-9 regulates oxycodone addictive-like behavior as well as the expression of genes that are involved in drug addiction.

Indexed as

AnimalsBehavior, AddictiveDependovirusGenetic VectorsMaleMicroinjectionsMicroRNAsNucleus AccumbensOxycodoneRatsRE1-Silencing Transcription FactorReceptors, Dopamine D2Repressor ProteinsSelf AdministrationDRD2 protein, ratMicroRNAsMIRN9 microRNA, ratOxycodoneRE1-Silencing Transcription FactorReceptors, Dopamine D2Repressor ProteinsaddictionDRD2microRNAopioidsREST

Identifiers

PMID30989210
PMCPMC6545539
OpenAlexW2938001917

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.