Genetic basis of methamphetamine intake

Project: Research project

Description

DESCRIPTION (provided by applicant): The abuse of illegal drugs poses a worldwide problem, with a multitude of negative individual and societal consequences. Addiction to methamphetamine (MA) damages the brain, can induce psychosis, and is associated with crime and increased aggression. Military personnel, including Veterans and their families, have been identified as among key populations requiring special support to deal with their drug abuse problems. Genetic animal models for investigating risk for MA use and mechanisms that underlie risk and escalating use are lacking. This application describes research focused on a genetic mouse model for human methamphetamine (MA) use and on the identification of genetic factors and specific mechanisms that influence genetic risk for MA abuse. To be utilized are (1) unique genetic tools that consist of lines of mice selectively bred for high and low MA drinking (the MADR lines) and of interval specific congenic strains to be used for finer mapping of a gene(s) that influences MA intake; and (2) a newly developed operant oral MA self-administration method that has been used to validate the MADR lines as a genetic model that shows differential sensitivity to the reinforcing effects of MA. This program of research will develop a model of genetically-determined escalating, binge-like MA intake. It will also follow up the results of quantitative trat locus (QTL) mapping, which identified a locus on mouse chromosome 10 that accounts for ~50% of the genetic variance associated with differential MA intake, by completing finer mapping and sequence analysis that will allow progress to be made in identifying genes and gene networks that influence genetic risk for MA addiction. Preliminary data support the importance of mu-opioid receptors in this risk and pharmacological and molecular studies will be completed to further test the importance of this mechanism. In addition, molecular analyses will explore other potential candidate mechanisms and knockout mice and pharmacological approaches for druggable targets will be used to follow-up promising mechanisms. There are 3 specific aims: (1) examine genetically-determined patterns of MA intake, escalation, binge-like intake, and reinstatement. Potential differences in sensitivity to reinforcement by natural rewards
will also be examined as part of this aim; (2) use an existing panel of interval specific congenic strains to more finely map the chromosome 10 QTL; measure genetically correlated traits in these congenics to test the hypothesis that a common genetic region on mouse chromosome 10 influences MA drinking and the correlated trait; (3) complete qPCR, sequence and Western blot analyses, after fine mapping of the chromosome 10 QTL, for genes that could impact MA drinking; use these data to identify specific mechanisms that should be tested for their impact on MA intake, using knockout and pharmacological approaches. Functional analysis of the mu- opioid receptor in the MADR lines, one candidate gene in the chromosome 10 interval, will also be completed. This work has the potential for developing a needed genetic animal model of high MA intake that takes advantage of existing genetic risk in the development of this model. In addition, the study of opioid system involvement dovetails nicely with ongoing clinical work that indicates concomitant changes in MA use in individuals receiving buprenorphine or methadone treatment (both opioid receptor agonists) for opiate dependence. Use of the genetic model will indicate whether animals at higher genetic risk for MA use are susceptible to opioid and other pharmacological interventions that are explored.
StatusFinished
Effective start/end date7/1/146/30/18

Funding

  • National Institutes of Health
  • National Institutes of Health
  • National Institutes of Health

Fingerprint

Methamphetamine
Chromosomes, Human, Pair 10
Genetic Models
Pharmacology
Drinking
mu Opioid Receptor
Opioid Analgesics
Substance-Related Disorders
Animal Models
Genes
Opioid-Related Disorders
Buprenorphine
Self Administration
Gene Regulatory Networks
Chromosome Mapping
Methadone
Military Personnel
Opioid Receptors
Crime

Keywords

  • Medicine(all)