Evidence map›Paper›PMID 41533189›Full record

ArticleCellular and molecular neurobiology2026

Extinction of Nicotine and Cocaine Seeking in Rats Reveals Novel, Unique and Time-Dependent Molecular Adaptations in the Medial Prefrontal Cortex.

Caspar Muenstermann, Sarah J Baracz, Eilish C Heffernan, Nicholas C Lister, Paul D Waters, Kelly J Clemens

Abstract read
In one paragraph

Article in Cellular and molecular neurobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

No citing paper in PubMed yet.

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

6 authors.

Caspar MuenstermannSchool of Psychology, University of New South Wales, UNSW, Sydney, NSW, Australia.
Sarah J BaraczSchool of Psychology, University of New South Wales, UNSW, Sydney, NSW, Australia.
Eilish C HeffernanSchool of Psychology, University of New South Wales, UNSW, Sydney, NSW, Australia.
Nicholas C ListerSchool of Biotechnology & Biomolecular Sciences, UNSW, Sydney, Australia.
Paul D WatersSchool of Biotechnology & Biomolecular Sciences, UNSW, Sydney, Australia.
Kelly J ClemensSchool of Psychology, University of New South Wales, UNSW, Sydney, NSW, Australia. k.clemens@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nicotine dependence is characterized by high relapse rates compared to other addictive substances, yet the molecular mechanisms underlying relapse vulnerability during early abstinence remain poorly understood. Here we provide the first integrated transcriptomic and epigenomic profile of nicotine extinction in the medial prefrontal cortex (mPFC). Using RNA-seq and ATAC-seq at 1 and 6 days after nicotine or cocaine self-administration, we uncovered a dynamic and drug-specific molecular response. Nicotine was associated with minimal changes at day 1 but robust transcriptional and chromatin remodelling at day 6, possibly consistent with incubation of craving. Notably, we identified sustained upregulation of the dual specificity phosphatase Dusp4 (first report in nicotine), implicating compensatory regulation of MAPK signalling in abstinence-related plasticity. Chromatin accessibility changes were enriched in intergenic regions containing FOS and JUND motifs, possibly indicative of enhancer-mediated transcriptional control rather than promoter remodelling. Together, these findings highlight nicotine-specific, time-dependent molecular adaptations in the mPFC and identify MAPK phosphatase signalling and enhancer activity as potential targets for relapse prevention during early abstinence.

Indexed as

Adaptation, PhysiologicalCocaineDrug-Seeking BehaviorExtinction, PsychologicalNicotinePrefrontal CortexAnimalsMaleRatsRats, Sprague-DawleySelf AdministrationTime FactorsCocaineNicotineAddictionATAC-SeqCocaineIncubation of cravingIntergenicNicotineRNA-Seq

Identifiers

PMID41533189
PMCPMC12876482

What OpenQuestion holds

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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.