Evidence map›Paper›PMID 25886852›Full record

ArticleGenome biology2015

Identifying candidate drivers of alcohol dependence-induced excessive drinking by assembly and interrogation of brain-specific regulatory networks.

Vez Repunte-Canonigo, William Shin, Leandro F Vendruscolo, Celine Lefebvre, Lena van der Stap, Tomoya Kawamura, Joel E Schlosburg, Mariano Alvarez, George F Koob, Andrea Califano and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

41 citing papers in PubMed, 52 citations in OpenAlex.

  1. Drawbacks to Strengthening Neural Salience Encoding: A Link Between Cortisol and Risky Drinking.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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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 at 2 institutions in 1 country.

Vez Repunte-CanonigoMolecular and Integrative Neuroscience Department, The Scripps Research Institute, La Jolla, CA, USA. Canonigo@scripps.edu.
William ShinDepartment of Biological Sciences, Columbia University, New York, NY, 10027, USA. wks2105@columbia.edu.
Leandro F VendruscoloCommittee for the Neurobiology of Addictive Disorders, The Scripps Research Institute, La Jolla, CA, USA. leandro@scripps.edu.
Celine LefebvreDepartment of Systems Biology, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, 10032, USA. celine.lefebvre@igr.fr.
Lena van der StapMolecular and Integrative Neuroscience Department, The Scripps Research Institute, La Jolla, CA, USA. lenav@scripps.edu.
Tomoya KawamuraMolecular and Integrative Neuroscience Department, The Scripps Research Institute, La Jolla, CA, USA. Tomoya@scripps.edu.
Joel E SchlosburgCommittee for the Neurobiology of Addictive Disorders, The Scripps Research Institute, La Jolla, CA, USA. schlos@scripps.edu.
Mariano AlvarezDepartment of Systems Biology, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, 10032, USA. malvarez@c2b2.columbia.edu.
George F KoobCommittee for the Neurobiology of Addictive Disorders, The Scripps Research Institute, La Jolla, CA, USA. george.koob@nih.gov.
Andrea CalifanoDepartment of Systems Biology, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, 10032, USA. califano@c2b2.columbia.edu.
Pietro Paolo SannaMolecular and Integrative Neuroscience Department, The Scripps Research Institute, La Jolla, CA, USA. psanna@scripps.edu.
Scripps Research Institute · USColumbia University · US

Funding

Nation Center: Multi-Scale Study- Cellular Networks(RMI)U54CA121852 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2005 to 2015
$37.4M
Systems Biology of Tumor Progression and Drug ResistanceU01CA168426 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2012 to 2016
$6.5M
CELLULAR AND MOLECULAR FOUNDATIONS OF BIOMEDICAL SCIENCET32GM008798 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRYWES, RON M · 2001 to 2018
$6.3M
Gene Network Perturbations in Alcohol Dependence - A Systems BiologyApproachR01AA021667 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI Vez REPUNTE-CANONIGO, PIETRO P SANNA · 2013 to 2026
$6.1M
Gene expression of cocaine dependence and relapseR01DA013821 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI SANNA, PIETRO P · 2000 to 2012
$3.3M
Whole-genome analysis of DNA methylation in alcohol dependenceR01AA017371 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI SANNA, PIETRO P · 2007 to 2011
$2.1M
Collaborative study on the systems biology of vulnerability to stressR01GM085659 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI CALIFANO, ANDREA, SANNA, PIETRO P · 2008 to 2011
$2.0M
Histone modifications in transcriptional regulation by alcohol dependenceU01AA020960 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI SANNA, PIETRO P · 2011 to 2015
$1.4M
A Systems Approach to Elucidate Mechanisms od Drug Activity and SensivityU01HL111566 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2011 to 2013
$1.1M
NCI NIH HHS CA121852-09NCI NIH HHS CA1968426NCI NIH HHS U01 CA168426NCI NIH HHS U54 CA121852NHLBI NIH HHS HL111566NHLBI NIH HHS U01 HL111566NIAAA NIH HHS AA017371NIAAA NIH HHS AA020960NIAAA NIH HHS AA021667NIAAA NIH HHS R01 AA017371NIAAA NIH HHS R01 AA021667NIAAA NIH HHS U01 AA020960NIDA NIH HHS DA013821NIDA NIH HHS R01 DA013821NIGMS NIH HHS GM085659NIGMS NIH HHS R01 GM085659NIGMS NIH HHS T32 GM008798
6 · The paper itself

Abstract

backgroundA systems biology approach based on the assembly and interrogation of gene regulatory networks, or interactomes, was used to study neuroadaptation processes associated with the transition to alcohol dependence at the molecular level.

resultsUsing a rat model of dependent and non-dependent alcohol self-administration, we reverse engineered a global transcriptional regulatory network during protracted abstinence, a period when relapse rates are highest. We then interrogated the network to identify master regulator genes that mechanistically regulate brain region-specific signatures associated with dependent and non-dependent alcohol self-administration. Among these, the gene coding for the glucocorticoid receptor was independently identified as a master regulator in multiple brain regions, including the medial prefrontal cortex, nucleus accumbens, central nucleus of the amygdala, and ventral tegmental area, consistent with the view that brain reward and stress systems are dysregulated during protracted abstinence. Administration of the glucocorticoid antagonist mifepristone in either the nucleus accumbens or ventral tegmental area selectively decreased dependent, excessive, alcohol self-administration in rats but had no effect on non-dependent, moderate, alcohol self-administration.

conclusionsOur study suggests that assembly and analysis of regulatory networks is an effective strategy for the identification of key regulators of long-term neuroplastic changes within specific brain regions that play a functional role in alcohol dependence. More specifically, our results support a key role for regulatory networks downstream of the glucocorticoid receptor in excessive alcohol drinking during protracted alcohol abstinence.

Indexed as

Gene Regulatory NetworksAlcoholismAlgorithmsAnimalsBrainEthanolGenes, RegulatorHormone AntagonistsMifepristoneRatsReceptors, GlucocorticoidSelf AdministrationEthanolHormone AntagonistsMifepristoneReceptors, Glucocorticoid

Identifiers

PMID25886852
PMCPMC4410476
OpenAlexW2129957034

What OpenQuestion holds

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Registered trials

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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.