Evidence map›Paper›PMID 23345231›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013

Central amygdala GluA1 facilitates associative learning of opioid reward.

You-Qing Cai, Wei Wang, Yuan-Yuan Hou, Zhi Zhang, Jun Xie, Zhizhong Z Pan

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Glutamatergic Systems and Memory Mechanisms Underlying Opioid Addiction.Cold Spring Harbor perspectives in medicine · 2021
    Review
  10. Article
  11. Brain Circuits Mediating Opposing Effects on Emotion and Pain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  12. Review
  13. Article
  14. Article
  15. Nucleus Accumbens AMPA Receptors Are Necessary for Morphine-Withdrawal-Induced Negative-Affective States in Rats.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  16. Article
  17. Amygdala pain mechanisms.Handbook of experimental pharmacology · 2015
    Review
  18. Article
  19. MeCP2 repression of G9a in regulation of pain and morphine reward.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
    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

6 authors at 2 institutions in 1 country.

You-Qing CaiDepartment of Anesthesiology and Pain Medicine, the University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Wei Wang
Yuan-Yuan Hou
Zhi Zhang
Jun Xie
Zhizhong Z Pan
The University of Texas MD Anderson Cancer Center · USUniversity of Massachusetts Chan Medical School · US

Funding

Synaptic mechanisms for interactions of chronic pain and opioid addictionR01DA027541 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI PAN, ZHIZHONG Z. · 2009 to 2013
$1.7M
Delta-Opioid Receptor Trafficking and Pain InhibitionR01DA023069 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI PAN, ZHIZHONG Z. · 2008 to 2012
$1.5M
NIDA NIH HHS DA023069NIDA NIH HHS DA027541NIDA NIH HHS R01 DA023069NIDA NIH HHS R01 DA027541
6 · The paper itself

Abstract

GluA1 subunits of AMPA glutamate receptors are implicated in the synaptic plasticity induced by drugs of abuse for behaviors of drug addiction, but GluA1 roles in emotional learning and memories of drug reward in the development of drug addiction remain unclear. In this study of the central nucleus of the amygdala (CeA), which is critical in emotional learning of drug reward, we investigated how adaptive changes in the expression of GluA1 subunits affected the learning process of opioid-induced context-reward association (associative learning) for the acquisition of reward-related behavior. In CeA neurons, we found that CeA GluA1 expression was significantly increased 2 h after conditioning treatment with morphine, but not 24 h after the conditioning when the behavior of conditioned place reference (CPP) was fully established in rats. Adenoviral overexpression of GluA1 subunits in CeA accelerated associative learning, as shown by reduced minimum time of morphine conditioning required for CPP acquisition and by facilitated CPP extinction through extinction training with no morphine involved. Adenoviral shRNA-mediated downregulation of CeA GluA1 produced opposite effects, inhibiting the processes of both CPP acquisition and CPP extinction. Adenoviral knockdown of CeA GluA2 subunits facilitated CPP acquisition, but did not alter CPP extinction. Whole-cell recording revealed enhanced electrophysiological properties of postsynaptic GluA2-lacking AMPA receptors in adenoviral GluA1-infected CeA neurons. These results suggest that increased GluA1 expression of CeA AMPA receptors facilitates the associative learning of context-drug reward, an important process in both development and relapse of drug-seeking behaviors in drug addiction.

Indexed as

RewardAmygdalaAnalgesics, OpioidAnimalsBlotting, WesternExcitatory Postsynaptic PotentialsExtinction, PsychologicalImmunohistochemistryLearningMaleMorphinePatch-Clamp TechniquesRatsRats, WistarReceptors, AMPASubstance-Related DisordersAnalgesics, OpioidMorphineReceptors, AMPA

Identifiers

PMID23345231
PMCPMC3711547
OpenAlexW2052836803

What OpenQuestion holds

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LicenceTDM
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.