Evidence map›Paper›PMID 39997720›Full record

ArticleMetabolites2025

Identification of Plasma Metabolites Responding to Oxycodone Exposure in Rats.

Thao Vu, Suneeta Godbole, Lieselot L G Carrette, Lisa Maturin, Olivier George, Laura M Saba, Katerina Kechris

Abstract read
In one paragraph

Article in Metabolites, 2025. 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
–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

3 citing papers in PubMed.

  1. 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

7 authors.

Thao VuDepartment of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0001-5252-0006
Suneeta GodboleDepartment of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0002-7358-2078
Lieselot L G CarretteDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-5217-2774
Lisa MaturinDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Olivier GeorgeDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Laura M SabaDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Katerina KechrisDepartment of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0002-3725-5459

Funding

Use of Next-Gen Sequencing to Identify Genetic Variants that Influence compulsiveOxycodone Intake in Outbred RatsU01DA044451 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Olivier George, Abraham A Palmer · 2018 to 2026
$7.3M
NIDA NIH HHS U01 DA044451
6 · The paper itself

Abstract

backgroundOxycodone has an elevated abuse liability profile compared to other prescription opioid medications. However, many human and rodent metabolomics studies have not been specifically focused on oxycodone.

objectivesInvestigating metabolomics changes associated with oxycodone exposure can provide insights into biochemical mechanisms of the addiction cycle and prognosis prediction.

methodsPlasma samples from 16 rats at pre-exposure and intoxication time points were profiled on the Metabolon platform. A total of 941 metabolites were characterized. We employed a k-Nearest Neighbor imputation to impute metabolites with low levels of missingness and binarized metabolites with moderate levels of missingness, respectively.

resultsOf the 136 binarized metabolites, 6 showed differential abundance (FDR < 0.05), including 5 that were present at pre-exposure but absent at intoxication (e.g.,

conclusionsIn summary, not only were we able to capture oxy-induced changes in metabolic pathways using easily accessible blood samples, but we also demonstrated the potential of blood metabolomics to better understand addiction liability.

Indexed as

oxycodone exposureplasma metabolomicsprescription opioidsrodent model

Identifiers

PMID39997720
PMCPMC11857688

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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.