Evidence map›Paper›PMID 37503148›Full record

ArticlebioRxiv : the preprint server for biology2023

DISCOVERY AND VALIDATION OF GENES DRIVING DRUG-INTAKE AND RELATED BEHAVIORAL TRAITS IN MICE.

Tyler A Roy, Jason A Bubier, Price E Dickson, Troy D Wilcox, Juliet Ndukum, James W Clark, Stacey J Sukoff Rizzo, John C Crabbe, James M Denegre, Karen L Svenson and 6 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 1 country.

Tyler A RoyThe Jackson Laboratory, Bar Harbor, ME.
Jason A BubierThe Jackson Laboratory, Bar Harbor, ME.
Price E DicksonJoan C Edwards School of Medicine, Marshall University Huntington, WV.
Troy D WilcoxThe Jackson Laboratory, Bar Harbor, ME.
Juliet NdukumThe Jackson Laboratory, Bar Harbor, ME.
James W ClarkThe Jackson Laboratory, Bar Harbor, ME.
Stacey J Sukoff RizzoThe Jackson Laboratory, Bar Harbor, ME.
John C CrabbeOregon Health & Science University and VA Portland Health Care System, Portland, OR.
James M DenegreThe Jackson Laboratory, Bar Harbor, ME.
Karen L SvensonThe Jackson Laboratory, Bar Harbor, ME.
Robert E BraunThe Jackson Laboratory, Bar Harbor, ME.
Vivek KumarThe Jackson Laboratory, Bar Harbor, ME.
Stephen A MurrayThe Jackson Laboratory, Bar Harbor, ME.
Jacqueline K WhiteThe Jackson Laboratory, Bar Harbor, ME.
Vivek M PhilipThe Jackson Laboratory, Bar Harbor, ME.
Elissa J CheslerThe Jackson Laboratory, Bar Harbor, ME.
Jackson Laboratory · USMarshall University · USOregon Health & Science University · USUniversity of Pittsburgh · US

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Paul Robson · 1985 to 2026
$61.9M
The Jackson Laboratory Knockout Mouse Production and Phenotyping Project (JAX KOMP2)UM1OD023222 · OD · JACKSON LABORATORY · PI ROBERT E BRAUN, Stephen A Murray · 2016 to 2026
$47.2M
Project 5: Circadian RhythmsP50DA039841 · NIDA · JACKSON LABORATORY · PI Lisa M Tarantino · 2016 to 2026
$26.2M
Genetic Control of Addiction by Host and MicrobiomeU01DA043809 · NIDA · JACKSON LABORATORY · PI BUBIER, JASON A, ZHOU, YANJIAO · 2018 to 2022
$4.0M
Genetic Variation in Opioid Induced Respiratory Depression in MiceR01DA048890 · NIDA · JACKSON LABORATORY · PI BUBIER, JASON A · 2020 to 2024
$3.4M
Discovery and Characterization of Genetic Mechanisms Driving Stress-induced Addiction VulnerabilityK99DA043573 · NIDA · JACKSON LABORATORY · PI DICKSON, PRICE EVANS · 2018 to 2019
$289k
NCI NIH HHS P30 CA034196NIDA NIH HHS K99 DA043573NIDA NIH HHS P50 DA039841NIDA NIH HHS R01 DA048890NIDA NIH HHS U01 DA043809NIH HHS UM1 OD023222
6 · The paper itself

Abstract

Substance use disorders (SUDs) are heritable disorders characterized by compulsive drug use, but the biological mechanisms driving addiction remain largely unknown. Genetic correlations reveal that predisposing drug-naïve phenotypes, including anxiety, depression, novelty preference, and sensation seeking, are predictive of drug-use phenotypes, implicating shared genetic mechanisms. Because of this relationship, high-throughput behavioral screening of predictive phenotypes in knockout (KO) mice allows efficient discovery of genes likely to be involved in drug use. We used this strategy in two rounds of screening in which we identified 33 drug-use candidate genes and ultimately validated the perturbation of 22 of these genes as causal drivers of substance intake. In our initial round of screening, we employed the two-bottle-choice paradigms to assess alcohol, methamphetamine, and nicotine intake. We identified 19 KO strains that were extreme responders on at least one predictive phenotype. Thirteen of the 19 gene deletions (68%) significantly affected alcohol use three methamphetamine use, and two both. In the second round of screening, we employed a multivariate approach to identify outliers and performed validation using methamphetamine two-bottle choice and ethanol drinking-in-the-dark protocols. We identified 15 KO strains that were extreme responders across the predisposing drug-naïve phenotypes. Eight of the 15 gene deletions (53%) significantly affected intake or preference for three alcohol, eight methamphetamine or three both (3). We observed multiple relations between predisposing behaviors and drug intake, revealing many distinct biobehavioral processes underlying these relationships. The set of mouse models identified in this study can be used to characterize these addiction-related processes further.

Identifiers

PMID37503148
PMCPMC10369854
OpenAlexW4384069716

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.