Expression of stable and reliable preference and aversion phenotypes following place conditioning with psychostimulants.

Cocaine Individual variation MDPV Methamphetamine Pavlovian conditioning Self-administration d-amphetamine k-means cluster analysis

Journal

Psychopharmacology
ISSN: 1432-2072
Titre abrégé: Psychopharmacology (Berl)
Pays: Germany
ID NLM: 7608025

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 14 01 2022
accepted: 26 03 2022
pubmed: 29 4 2022
medline: 22 7 2022
entrez: 28 4 2022
Statut: ppublish

Résumé

Drug-seeking behavior occurs more readily in some individuals than others. This phenomenon is considered in studies of drug self-administration in which high drug-seeking/taking individuals can be identified. In contrast, studies of conditioned place preference (CPP) often involve a random sample of drug-naïve rodents that includes phenotypes not considered relevant to addiction. The main objective of the current studies was to determine if a priori identification of different conditioning phenotypes could improve the validity and sensitivity of CPP expression as a preclinical test for vulnerability to addiction. Analysis of cocaine place conditioning data from 443 Swiss-Webster mice revealed a trimodal distribution with peaks corresponding to means of k = 3 clusters. The cluster means occurred at high, low, or negative preference scores, the latter suggesting a phenotype acquiring conditioned place aversion (CPA). The same clusters were identified in mice conditioned with methamphetamine, MDPV, or amphetamine, and these clusters remained stable and reliable during three additional expression tests spaced at 24 h. A meta-analysis of effect sizes obtained from CPP literature revealed a positively skewed distribution affected by sample size, consistent with the existence of a CPA phenotype within the populations tested. A dopamine receptor antagonist, flupentixol, blocked cocaine CPP expression in a group containing all phenotypes, but sensitivity improved markedly when CPA phenotypes were excluded from the dataset. These studies suggest that taking phenotype into consideration when designing place conditioning studies will improve their application as a preclinical tool in addiction biology and drug discovery.

Identifiants

pubmed: 35482071
doi: 10.1007/s00213-022-06130-8
pii: 10.1007/s00213-022-06130-8
doi:

Substances chimiques

Central Nervous System Stimulants 0
Methamphetamine 44RAL3456C
Cocaine I5Y540LHVR

Types de publication

Journal Article Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

2593-2603

Subventions

Organisme : NIDA NIH HHS
ID : N01DA-7-8872
Pays : United States
Organisme : NIDA NIH HHS
ID : N01DA-13-8908
Pays : United States
Organisme : NIDA NIH HHS
ID : N01DA-7-8872
Pays : United States
Organisme : NIDA NIH HHS
ID : N01DA-13-8908
Pays : United States

Informations de copyright

© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Ritu A Shetty (RA)

Department of Pharmacology and Neuroscience, University of North Texas Health Science Center at Fort Worth, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.

Margaret Rutledge (M)

Department of Pharmacology and Neuroscience, University of North Texas Health Science Center at Fort Worth, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.

Alison LeBouf (A)

Department of Pharmacology and Neuroscience, University of North Texas Health Science Center at Fort Worth, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.

James T Mock (JT)

Department of Pharmacology and Neuroscience, University of North Texas Health Science Center at Fort Worth, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.

Gita Pathak (G)

Department of Pharmacology and Neuroscience, University of North Texas Health Science Center at Fort Worth, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.

Michael J Forster (MJ)

Department of Pharmacology and Neuroscience, University of North Texas Health Science Center at Fort Worth, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA. michael.forster@unthsc.edu.

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