Evidence map›Paper›PMID 32720468›Full record

ArticleGenes, brain, and behavior2021

Do gene expression findings from mouse models of cocaine use recapitulate human cocaine use disorder in reward circuitry?

Spencer B Huggett, Jason A Bubier, Elissa J Chesler, Rohan H C Palmer

Open access · greenAbstract read
In one paragraph

Article in Genes, brain, and behavior, 2021. 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
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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Gene expression genetics of the striatum of Diversity Outbred mice.bioRxiv : the preprint server for biology · 2023
    Article
  10. Review
  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

4 authors at 2 institutions in 1 country.

Spencer B HuggettBehavioral Genetics of Addiction Laboratory, Department of Psychology at Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-5064-7011
Jason A BubierCenter for Systems Neurogenetics of Addiction, The Jackson Laboratory, Bar Harbor, Maine, USA.
Elissa J CheslerCenter for Systems Neurogenetics of Addiction, The Jackson Laboratory, Bar Harbor, Maine, USA.
Rohan H C PalmerBehavioral Genetics of Addiction Laboratory, Department of Psychology at Emory University, Atlanta, Georgia, USA.
Emory University · USJackson Laboratory · US

Funding

Project 5: Circadian RhythmsP50DA039841 · NIDA · JACKSON LABORATORY · PI LAURA G REINHOLDT · 2016 to 2026
$26.2M
Discovery of Addiction-Related Genes with Advanced Mouse ResourcesR01DA037927 · NIDA · JACKSON LABORATORY · PI CHESLER, ELISSA J · 2015 to 2025
$8.1M
Data Structures, Algorithms and Tools for Ontological DiscoveryR01AA018776 · NIAAA · JACKSON LABORATORY · PI CHESLER, ELISSA J · 2010 to 2019
$3.9M
The Kinship Risk Score: An Integrative Tool to Prioritize Alcohol and Drug-Addiction Related Genes for Enhanced Risk PredictionDP1DA042103 · NIDA · EMORY UNIVERSITY · PI PALMER, ROHAN HUGH CRAIG · 2017 to 2021
$2.3M
Integrative Prioritization of Alcohol and Drug-Addiction Related Genetic LociR01DA042742 · NIDA · EMORY UNIVERSITY · PI PALMER, ROHAN HUGH CRAIG · 2018 to 2022
$1.7M
NIAAA NIH HHS R01 AA018776NIDA NIH HHS DP1 DA042103NIDA NIH HHS P50 DA039841NIDA NIH HHS R01 DA037927NIDA NIH HHS R01 DA042742
6 · The paper itself

Abstract

Animal models of drug use have investigated possible mechanisms governing human substance use traits for over 100 years. Most cross-species research on drug use/addiction examines behavioral overlap, but studies assessing neuromolecular (e.g. RNA) correspondence are lacking. Our study utilized transcriptome-wide data from the hippocampus and ventral tegmental area (VTA)/midbrain from a total of 35 human males with cocaine use disorder/controls and 49 male C57BL/6J cocaine/saline administering/exposed mice. We hypothesized differential expressed genes and systems of co-expressed genes (gene networks) would show appreciable overlap across mouse cocaine self-administration and human cocaine use disorder. We found modest, but significant relationships between differentially expressed genes associated with cocaine self-administration (short access) and cocaine use disorder within reward circuitry. Differentially expressed genes underlying models of acute cocaine exposure (cocaine), context re-exposure and cocaine + context re-exposure were not consistently associated with human CUD across brain regions. Investigating systems of co-expressed genes, we found several validated gene networks with weak to moderate conservation between cocaine/saline self-administering mice and disordered cocaine users/controls. The most conserved hippocampal and VTA gene networks demonstrated substantial overlap (2029 common genes) and included both novel and previously implicated targets for cocaine use/addiction. Lastly, we conducted (expression-based) phenome-wide association studies of the nine common hub genes across conserved gene networks. Common hub genes were associated with dopamine/serotonin function, cocaine self-administration and other relevant mouse traits. Overall, our study pinpointed and characterized conserved brain-related RNA patterns across mouse cocaine self-administration and human cocaine use disorder. We offer recommendations for future research and add to the dialogue surrounding pre-clinical animal research for human disease.

Indexed as

Gene Regulatory NetworksRewardAdultAnimalsBrainCocaine-Related DisordersHumansMaleMiceMice, Inbred C57BLMiddle AgedSpecies SpecificityTranscriptomecocaine abuse/dependencecocaine self-administrationcross-speciesmicroarraymulti-omicsRNA-sequencing

Identifiers

PMID32720468
PMCPMC8173322
OpenAlexW3045571735

What OpenQuestion holds

Textmetadata
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.