Evidence map›Paper›PMID 42020354›Full record

ArticleTranslational psychiatry2026

Behavioral and transcriptomic markers of susceptibility to escalate fentanyl intake.

Jack Keady, Richard Charnigo, Jakob D Shaykin, Emily R Prantzalos, Mengfan Xia, Emily Denehy, Cody Bumgardner, Justin Miller, Pavel Ortinski, Michael T Bardo and 1 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jack Keady *College of Pharmacy, University of Kentucky, Lexington, KY, 40506, USA.
Richard Charnigo *Department of Biostatistics, University of Kentucky, Lexington, KY, 40506, USA.
Jakob D Shaykin *College of Pharmacy, University of Kentucky, Lexington, KY, 40506, USA.
Emily R PrantzalosCollege of Pharmacy, University of Kentucky, Lexington, KY, 40506, USA.
Mengfan XiaDepartment of Neuroscience, University of Kentucky, Lexington, KY, 40506, USA.
Emily DenehyDepartment of Psychology, University of Kentucky, Lexington, KY, 40506, USA.
Cody BumgardnerDepartment of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, 40506, USA.
Justin MillerDepartment of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, 40506, USA.ORCID http://orcid.org/0000-0002-5309-1570
Pavel OrtinskiDepartment of Neuroscience, University of Kentucky, Lexington, KY, 40506, USA.
Michael T BardoDepartment of Psychology, University of Kentucky, Lexington, KY, 40506, USA.
Jill R TurnerCollege of Pharmacy, University of Kentucky, Lexington, KY, 40506, USA. Jill.Turner@uky.edu.ORCID http://orcid.org/0000-0002-7258-1639

Funding

Research Training in Drug Abuse BehaviorT32DA035200 · NIDA · UNIVERSITY OF KENTUCKY · PI CRAIG R RUSH, William Walton Stoops · 2013 to 2026
$4.4M
Functional and Genomic Signatures of Escalated Fentanyl UseR01DA053070 · NIDA · UNIVERSITY OF KENTUCKY · PI BARDO, MICHAEL T, ORTINSKI, PAVEL IVANOVICH · 2021 to 2025
$3.2M
Development of Agents for Synthetic Opioid OverdoseU01DA051377 · NIDA · UNIVERSITY OF KENTUCKY · PI PRISINZANO, THOMAS EDWARD · 2021 to 2023
$1.4M
Role of Dynamic Signaling of NRG3-ErbB4 in the Prefrontal Cortex in Mediating Nicotine Withdrawal PhenotypesF31DA057812 · NIDA · UNIVERSITY OF KENTUCKY · PI PRANTZALOS, EMILY · 2024 to 2025
$97k
American Foundation for Pharmaceutical Education (AFPE) Pre-Doctoral FellowshipAmerican Foundation for Pharmaceutical Education (AFPE) Pre-Doctoral Fellowship Regional AwardNIDA NIH HHS R01 DA053070NIDA NIH HHS T32 DA035200NIDA NIH HHS U01 DA051377U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) F31DA057812
6 · The paper itself

Abstract

The "loss of control" over drug consumption, known as escalation of intake in opioid use disorder (OUD), is well-established in preclinical rodent models. However, little is known about how antecedent behavioral characteristics, such as valuation of hedonic reinforcers prior to drug use, influence fentanyl intake trajectories. Moreover, it is unclear if distinct escalation phenotypes are driven by transcriptomic markers predictive of OUD susceptibility. Male and female Sprague-Dawley rats (n = 72) were trained in a sucrose reinforcement task using a progressive ratio schedule. Individual differences in responsivity to sucrose were hypothesized to predict escalation of fentanyl intake. Rats underwent daily 1-h acquisition sessions for i.v. fentanyl self-administration (2.5 µg/kg; FR1) for 7 days, followed by 21 6-h escalation sessions, then tissue from prefrontal cortex was collected for RNA sequencing and qPCR. Latent growth curve and group-based trajectory modeling were used, respectively, to evaluate the association between sucrose reinforcement and fentanyl self-administration and to identify whether distinct escalation phenotypes can be linked to gene expression patterns. Sucrose breakpoints did not predict fentanyl acquisition nor change during escalation but did predict fentanyl intake on the first day of extended access. Permutation analyses found no associations between behavior and single gene expression, either overall or within our ascertained phenotypes. However, weighted genome correlation network analysis (WGCNA) and gene set enrichment analysis (GSEA) determined several gene modules linked to escalated fentanyl intake, including genes coding for voltage-gated potassium channels, calcium channels, and excitatory synaptic signaling. Transcription factor analyses identified EZH2 and JARID2 as potential transcriptional regulators associated with escalated fentanyl intake. Further, these modules were enriched for genome-wide association study (GWAS) term categories relating to substance use disorders. Escalation of opioid intake largely differs from motivation for natural rewards like sucrose. Further, the gene networks associated with fentanyl escalation suggest that engagement of select molecular pathways were associated with "addiction prone" behavioral endophenotypes, potentially representing druggable targets for OUD. Our extended in silico analysis found that gene networks associated with the "addiction prone" high escalating rats were enriched for genes with known risk alleles for substance use disorders and identified transcription factors that may regulate these networks, highlighting the importance of integrating findings from translational preclinical models, supporting patient-centered treatment options for OUD.

Indexed as

Analgesics, OpioidBehavior, AnimalFentanylTranscriptomeAnimalsFemaleMalePrefrontal CortexRatsRats, Sprague-DawleyReinforcement, PsychologySelf AdministrationSucroseAnalgesics, OpioidFentanylSucrose

Identifiers

PMID42020354
PMCPMC13234145

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Registered trials

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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.