Evidence map›Paper›PMID 35599758›Full record

ArticleFrontiers in psychiatry2022

Cocaine-Induced Locomotor Activation Differs Across Inbred Mouse Substrains.

Christiann H Gaines, Sarah A Schoenrock, Joseph Farrington, David F Lee, Lucas J Aponte-Collazo, Ginger D Shaw, Darla R Miller, Martin T Ferris, Fernando Pardo-Manuel de Villena, Lisa M Tarantino

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 1 institution in 1 country.

Christiann H GainesDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Sarah A SchoenrockDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Joseph FarringtonDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
David F LeeDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Lucas J Aponte-CollazoPharmacology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Ginger D ShawDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Darla R MillerDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Martin T FerrisDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Fernando Pardo-Manuel de VillenaDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Lisa M TarantinoDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
University of North Carolina at Chapel Hill · US

Funding

Unlocking Zika Virus Immune Control and Pathogenesis with the Collaborative CrossU19AI100625 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BARIC, RALPH S · 2012 to 2021
$36.6M
Project 5: Circadian RhythmsP50DA039841 · NIDA · JACKSON LABORATORY · PI Lisa M Tarantino · 2016 to 2026
$26.2M
Systems Genetics of TuberculosisP01AI132130 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BEHAR, SAMUEL M · 2017 to 2021
$11.2M
Training on Research in Drug AbuseT32DA007244 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Regina M Carelli · 1990 to 2026
$7.6M
Genomic Resources for the Collaborative CrossU24HG010100 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MCMILLAN, LEONARD, PARDO-MANUEL DE VILLENA, FERNANDO · 2018 to 2022
$1.8M
Rapid identification of cocaine sensitivity genes using a novel reduced complexity crossR21DA052171 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TARANTINO, LISA M · 2020 to 2021
$430k
NHGRI NIH HHS U24 HG010100NIAID NIH HHS P01 AI132130NIAID NIH HHS U19 AI100625NIDA NIH HHS P50 DA039841NIDA NIH HHS R21 DA052171NIDA NIH HHS T32 DA007244
6 · The paper itself

Abstract

Cocaine use disorders (CUD) are devastating for affected individuals and impose a significant societal burden, but there are currently no FDA-approved therapies. The development of novel and effective treatments has been hindered by substantial gaps in our knowledge about the etiology of these disorders. The risk for developing a CUD is influenced by genetics, the environment and complex interactions between the two. Identifying specific genes and environmental risk factors that increase CUD risk would provide an avenue for the development of novel treatments. Rodent models of addiction-relevant behaviors have been a valuable tool for studying the genetics of behavioral responses to drugs of abuse. Traditional genetic mapping using genetically and phenotypically divergent inbred mice has been successful in identifying numerous chromosomal regions that influence addiction-relevant behaviors, but these strategies rarely result in identification of the causal gene or genetic variant. To overcome this challenge, reduced complexity crosses (RCC) between closely related inbred mouse strains have been proposed as a method for rapidly identifying and validating functional variants. The RCC approach is dependent on identifying phenotypic differences between substrains. To date, however, the study of addiction-relevant behaviors has been limited to very few sets of substrains, mostly comprising the C57BL/6 lineage. The present study expands upon the current literature to assess cocaine-induced locomotor activation in 20 inbred mouse substrains representing six inbred strain lineages (A/J, BALB/c, FVB/N, C3H/He, DBA/2 and NOD) that were either bred in-house or supplied directly by a commercial vendor. To our knowledge, we are the first to identify significant differences in cocaine-induced locomotor response in several of these inbred substrains. The identification of substrain differences allows for the initiation of RCC populations to more rapidly identify specific genetic variants associated with acute cocaine response. The observation of behavioral profiles that differ between mice generated in-house and those that are vendor-supplied also presents an opportunity to investigate the influence of environmental factors on cocaine-induced locomotor activity.

Indexed as

addictioncocaine sensitivitygeneticsinitial cocaine responsemice modelsreduced complexity crossrodent behaviorrodent model

Identifiers

PMID35599758
PMCPMC9120424
OpenAlexW4229036127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.