Evidence map›Paper›PMID 39758444›Full record

ArticleFrontiers in psychiatry2024

Sex and genetic background influence intravenous oxycodone self-administration in the hybrid rat diversity panel.

Eamonn P Duffy, Jonathan O Ward, Luanne H Hale, Kyle T Brown, Andrew J Kwilasz, Erika A Mehrhoff, Laura M Saba, Marissa A Ehringer, Ryan K Bachtell

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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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

9 authors.

Eamonn P DuffyDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, United States.
Jonathan O WardDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States.
Luanne H HaleDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States.
Kyle T BrownDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States.
Andrew J KwilaszDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States.
Erika A MehrhoffDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, United States.
Laura M SabaDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
Marissa A EhringerDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, United States.
Ryan K BachtellInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, United States.

Funding

The Heritable Transcriptome and AlcoholismR24AA013162 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI HOFFMAN, PAULA, SABA, LAURA MAREN · 2001 to 2021
$14.2M
Hybrid Rat Diversity Program - Import of HXB/BXH panelR24OD024617 · OD · MEDICAL COLLEGE OF WISCONSIN · PI DWINELL, MELINDA R · 2018 to 2025
$6.8M
Gene Array Technology Center for Alcohol ResearchR01AA013162 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI TABAKOFF, BORIS · 2002 to 2005
$5.8M
Research Training-Genetics of Substance AbuseT32DA017637 · NIDA · UNIVERSITY OF COLORADO AT BOULDER · PI STITZEL, JERRY A · 2004 to 2023
$5.3M
TIM Project NIDA P30 CenterP30DA044223 · NIDA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SEN, SAUNAK · 2017 to 2021
$3.9M
Identification of genes and genetic networks contributing to opioid use disorder traits in the Hybrid Rat Diversity PanelU01DA051937 · NIDA · UNIVERSITY OF COLORADO · PI BACHTELL, RYAN K, EHRINGER, MARISSA A · 2020 to 2024
$2.3M
NIAAA NIH HHS R01 AA013162NIAAA NIH HHS R24 AA013162NIDA NIH HHS P30 DA044223NIDA NIH HHS T32 DA017637NIDA NIH HHS U01 DA051937NIH HHS R24 OD024617
6 · The paper itself

Abstract

Opioid Use Disorder (OUD) is an ongoing worldwide public health concern. Genetic factors contribute to multiple OUD-related phenotypes, such as opioid-induced analgesia, initiation of opioid use, and opioid dependence. Here, we present findings from a behavioral phenotyping protocol using male and female rats from 15 genetically diverse inbred strains from the Hybrid Rat Diversity Panel (HRDP). We used a self-administration paradigm to measure the acquisition of oxycodone intake during ten 2-hour sessions and escalation of oxycodone use during ten 12-hour sessions. During both the acquisition and escalation phases of self-administration, we observed that genetic background and sex influence oxycodone intake. The heritability of oxycodone intake phenotypes ranged between 0.26 to 0.54, indicating that genetic background plays a major role in the variability of oxycodone consumption. Genetic background and sex also influenced additional phenotypes recorded during oxycodone self-administration including lever discrimination and timeout responding. The genetic contribution to these traits was slightly more moderate, with heritability estimates ranging between 0.25 to 0.42. Measures of oxycodone intake were highly positively correlated between acquisition and escalation phases. Interestingly, the efficacy of oxycodone analgesia was positively correlated with oxycodone intake during the escalation phase, indicating that the initial behavioral responses to oxycodone may predict self-administration phenotypes. Together, these data demonstrate that sex and genetic background are major contributors to oxycodone self-administration phenotypes.

Indexed as

addictionanalgesiabehavioral geneticsinbred ratoperant conditioningopioidopioid use disordersex differences

Identifiers

PMID39758444
PMCPMC11695335

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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.