Evidence map›Paper›PMID 30061709›Full record

ArticleTranslational psychiatry2018

GABRA2 rs279858-linked variants are associated with disrupted structural connectome of reward circuits in heroin abusers.

Yan Sun, Yang Zhang, Dai Zhang, Suhua Chang, Rixing Jing, Weihua Yue, Lin Lu, Dong Chen, Yankun Sun, Yong Fan and 1 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. bioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. The Effects of Gene Variations ofPharmacogenomics and personalized medicine · 2021
    Article
  10. Article
  11. 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

11 authors.

Yan SunNational Institute on Drug Dependence, Peking University, 100191, Beijing, China.
Yang ZhangNational Institute on Drug Dependence, Peking University, 100191, Beijing, China.
Dai ZhangNational Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.
Suhua ChangInstitute of Mental Health/Peking University Sixth Hospital and Key Laboratory of Mental Health, Peking University, 100191, Beijing, China.ORCID http://orcid.org/0000-0001-7465-3985
Rixing JingNational Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.
Weihua YueInstitute of Mental Health/Peking University Sixth Hospital and Key Laboratory of Mental Health, Peking University, 100191, Beijing, China.
Lin LuNational Institute on Drug Dependence, Peking University, 100191, Beijing, China.
Dong ChenSanshui addiction treatment hospital, 528100, Guangdong, China.
Yankun SunNational Institute on Drug Dependence, Peking University, 100191, Beijing, China.
Yong FanDepartment of Radiology Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jie ShiNational Institute on Drug Dependence, Peking University, 100191, Beijing, China. shijie@bjmu.edu.cn.

Funding

Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Center for the Development of Novel Medications for Cocaine DependenceU54DA039002 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI KAMPMAN, KYLE MATTHEW · 2014 to 2018
$5.1M
Targeting dopamine D3 receptors in cocaine addictionR01DA039215 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI CHILDRESS, ANNA ROSE · 2016 to 2019
$2.5M
NIBIB NIH HHS R01 EB022573NIDA NIH HHS R01 DA039215NIDA NIH HHS U54 DA039002
6 · The paper itself

Abstract

The reward system plays a vital role in drug addiction. The purpose of this study is to investigate the structural connectivity characteristics and driving-control subnetwork patterns of reward circuits in heroin abusers and assess the genetic modulation on the reward network. We first defined the reward network based on systematic literature review, and built the reward network based on diffusion tensor imaging data of 78 heroin abusers (HAs) and 79 healthy controls (HCs) using structural connectomics. Then we assessed genetic factors that might modulate changes in the reward network by performing imaging-genetic screening for 22 addiction-related polymorphisms. The genetic association was validated by performing genetic associations (1032 HAs and 2863 HCs) and expanded-variant analysis. Finally, we estimated the association between these genetic variations, reward network, and clinical performance. We found that HAs had widespread deficiencies in the structural connectivity of the reward circuit (center in VTA-linked connections), which correlated with cognition deficiency. The disruptions synchronously were shown on the reward driving system and reward control system. GABRA2 rs279858-linked variants might be a key genetic modulator for heroin vulnerability by affecting the connections of reward network and cognition. The role of the reward network connections that mediates the effects of rs279858 on cognition would be disrupted by heroin addiction. These findings provide new insights into the neurocircuitry and genetic mechanisms of addiction.

Indexed as

ConnectomeRewardAdultBehavior, AddictiveCase-Control StudiesChinaDiffusion Tensor ImagingGene Regulatory NetworksHeroin DependenceHumansLinear ModelsMalePolymorphism, Single NucleotideReceptors, GABA-AGABRA2 protein, humanReceptors, GABA-A

Identifiers

PMID30061709
PMCPMC6066482

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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.