Evidence map›Paper›PMID 38077082›Full record

ArticlebioRxiv : the preprint server for biology2024

Mu-opioid receptor knockout on Foxp2-expressing neurons reduces aversion-resistant alcohol drinking.

Harrison M Carvour, Charlotte Aeg Roemer, D'Erick P Underwood, Edith S Padilla, Oscar Sandoval, Megan Robertson, Mallory Miller, Natella Parsadanyan, Thomas W Perry, Anna K Radke

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Harrison M Carvour
Charlotte Aeg Roemer
D'Erick P Underwood
Edith S Padilla
Oscar Sandoval
Megan Robertson
Mallory Miller
Natella Parsadanyan
Thomas W Perry
Miami University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mu-opioid receptors (MORs) in the amygdala and striatum are important in addictive and rewarding behaviors. The transcription factor Foxp2 is a genetic marker of intercalated (ITC) cells in the amygdala and a subset of striatal medium spiny neurons (MSNs), both of which express MORs in wild-type mice and are neuronal subpopulations of potential relevance to alcohol-drinking behaviors. For the current series of studies, we characterized the behavior of mice with genetic deletion of the MOR gene Oprm1 in Foxp2-expressing neurons (Foxp2-Cre/Oprm1fl/fl). Male and female Foxp2-Cre/Oprm1fl/fl mice were generated and heterozygous Cre+ (knockout) and homozygous Cre- (control) animals were tested for aversion-resistant alcohol consumption using an intermittent access (IA) task, operant responding for a sucrose reward, conditioned place aversion (CPA) to morphine withdrawal, and locomotor sensitization to morphine. The results demonstrate that deletion of MOR on Foxp2-expressing neurons renders mice more sensitive to quinine-adulterated ethanol (EtOH). Mice with the deletion (vs. Cre- controls) also consumed less alcohol during the final sessions of the IA task, responded less for sucrose under an FR3 schedule, and were less active at baseline and following morphine injection. Foxp2-MOR deletion did not impair the ability to learn to respond for reward or develop a conditioned aversion to morphine withdrawal. Together, these investigations demonstrate that Foxp2-expressing neurons may be involved in escalation of alcohol consumption and the development of compulsive-like alcohol drinking.

Identifiers

PMID38077082
PMCPMC10705460
OpenAlexW4389237138

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.