Evidence map›Paper›PMID 32497591›Full record

ArticleNeuropharmacology2020

Different adaptations of dopamine release in Nucleus Accumbens shell and core of individual alcohol drinking groups of mice.

Yutong Liu, Sarah E Montgomery, Barbara Juarez, Carole Morel, Song Zhang, Yimeng Kong, Erin S Calipari, Eric J Nestler, Lu Zhang, Ming-Hu Han

Open access · greenAbstract read
In one paragraph

Article in Neuropharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Yutong LiuKey Laboratory of Functional Proteomics of Guangdong Province, Key Laboratory of Mental Health of the Ministry of Education, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sarah E MontgomeryDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Barbara JuarezDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry & Behavioral Sciences, University of Washington, USA.
Carole MorelDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Song ZhangDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yimeng KongDepartment of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, 10029, USA.
Erin S CalipariNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pharmacology, Vanderbilt Center for Addiction Research, Vanderbilt Brain Institute, Vanderbilt University, Nashville TN, USA.
Eric J NestlerNash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Lu ZhangKey Laboratory of Functional Proteomics of Guangdong Province, Key Laboratory of Mental Health of the Ministry of Education, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China. Electronic address: zhanglu@smu.edu.cn.
Ming-Hu HanDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: ming-hu.han@mssm.edu.
Allen Institute for Brain Science · USIcahn School of Medicine at Mount Sinai · USSouthern Medical University · CNVanderbilt University · US

Funding

TRANSGENIC COREP01DA008227 · NIDA · YALE UNIVERSITY · PI NESTLER, ERIC J. · 1993 to 2018
$28.1M
Transcription Factors in Stimulant and Opioid ActionP01DA047233 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI YASMIN L. HURD · 2019 to 2026
$16.5M
Neurotrophic Mechanisms in Opiate and Cocaine ActionR01DA014133 · NIDA · UT SOUTHWESTERN MEDICAL CENTER · PI ERIC J. NESTLER · 2000 to 2026
$12.1M
Rapid and Long-Lasting Antidepressant Action by Targeting Midbrain HCN ChannelsR01MH120637 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RUSSO, SCOTT JAMES · 2019 to 2022
$1.8M
Neurophysiological Mechanisms of Variable Alcohol Drinking BehaviorsR01AA022445 · NIAAA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HAN, MING-HU · 2014 to 2018
$1.7M
Dopamine Circuit Regulation of Morphine Reinforcement Across the Opioid Exposure CycleR00DA054265 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI JUAREZ, BARBARA · 2023 to 2025
$823k
Rapid and Long-Lasting Antidepressant Action by Targeting Midbrain HCN ChannelsR56MH115409 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HAN, MING-HU · 2018 to 2018
$587k
Optogenetic dissection of neural circuits underlying alcohol drinking behaviorsF31AA022862 · NIAAA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JUAREZ, BARBARA · 2014 to 2016
$103k
NIAAA NIH HHS F31 AA022862NIAAA NIH HHS R01 AA022445NIDA NIH HHS P01 DA008227NIDA NIH HHS P01 DA047233NIDA NIH HHS R00 DA054265NIDA NIH HHS R01 DA014133NIMH NIH HHS R01 MH120637NIMH NIH HHS R56 MH115409
6 · The paper itself

Abstract

Alcohol use disorder (AUD) places a tremendous burden on society, with approximately two billion alcohol users in the world. While most people drink alcohol recreationally, a subpopulation (3-5%) engages in reckless and compulsive drinking, leading to the development of AUD and alcohol dependence. The Ventral Tegmental Area (VTA)-Nucleus Accumbens (NAc) circuit has been shown to encode rewarding stimuli and drive individual alcohol drinking behavior. Our previous work successfully separated C57BL/6J isogenic mice into high or low alcohol drinking subgroups after a 12-day, two-bottle choice voluntary alcohol access paradigm. Electrophysiological studies revealed that low alcohol drinking mice exhibited elevated spontaneous and burst firing properties of their VTA dopamine (DA) neurons and specifically mimicking this pattern of activity in VTA-NAc neurons in high alcohol drinking mice using optogenetics decreased their alcohol preference. It is also known that VTA DA neurons encode the salience and rewarding properties of external stimuli while also regulating downstream dopamine concentrations. Here, as a follow-up to this study, we utilized Fast Scan Cyclic Voltammetry (FSCV) to examine dopamine release in the NAc shell and core between alcohol drinking groups. We observed dynamic changes of dopamine release in the core of high drinking mice, but failed to see widely significant differences of dopamine release in the shell of both groups, when compared with ethanol-naive controls. Overall, the present data suggest subregion-specific differences of evoked dopamine release in the NAc of low and high alcohol drinking mice, and may provide an anatomical substrate for individual alcohol drinking behavior. This article is part of the special issue on Stress, Addiction and Plasticity.

Indexed as

Alcohol DrinkingAnimalsDopamineEthanolMaleMice, Inbred C57BLNucleus AccumbensDopamineEthanolDopamine releaseFast scan cyclic voltammetryIndividual alcohol drinkingNAc coreNAc shellStimulation patterns

Identifiers

PMID32497591
PMCPMC7492398
OpenAlexW3033917781

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.