Evidence map›Paper›PMID 42595924›Full record

ArticleMolecular neurobiology2026

Alternative Polyadenylation in the Brain is Modulated by Chronic Ethanol Exposure in a Sex- and Cell Type-Specific Manner.

Petar N Grozdanov, Laura B Ferguson, Brent R Kisby, Clinton C MacDonald, Robert O Messing, Igor Ponomarev

Abstract read
In one paragraph

Article in 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Petar N GrozdanovDepartment of Pharmacology and Neuroscience, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, 79430, USA. petar.grozdanov@ttuhsc.edu.
Laura B FergusonBowles Center for Alcohol Studies, Department of Pharmacology, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA.
Brent R KisbyDepartment of Pharmacology and Neuroscience, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, 79430, USA.
Clinton C MacDonaldDepartment of Cell Biology and Biochemistry, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, 79430, USA.
Robert O MessingWaggoner Center for Alcohol and Addiction Research, Department of Neuroscience, University of Texas at Austin, Austin, TX, 78712, USA.
Igor PonomarevDepartment of Pharmacology and Neuroscience, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, 79430, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative polyadenylation (APA) is a common posttranscriptional mechanism to regulate gene expression. APA generates mRNA isoforms that differ in 3' UTR length or, through alternative last exons, encode distinct protein carboxyl termini. This is especially consequential in neurons, where these isoforms are often asymmetrically localized to dendrites and axons and can be locally translated. Whether alcohol dependence induces APA, however, remains to be explored. Here, we investigated APA changes in alcohol dependence using a mouse model characterized by increased voluntary drinking after chronic intermittent ethanol (CIE) exposure. We examined APA during protracted withdrawal from alcohol in three brain regions of male and female mice. Our analyses revealed hundreds of genes undergoing APA in males, but substantially fewer in females, suggesting sex-specific effects of CIE on APA. Notably, male and female mice displayed distinct APA signatures. APA genes were different from differentially expressed genes (DEGs), suggesting that these molecular processes are regulated independently. We also determined that the expression of APA genes was associated primarily with neurons, while DEGs were associated with nonneuronal cells. Many of the APA genes were involved in synaptic integrity, neuroplasticity, and neuronal maintenance, which was consistent with their enrichment in neurons. Our study suggests that APA is a crucial sex- and cell type-specific mechanism in alcohol dependence with the potential to influence localized neuronal protein expression during protracted withdrawal and to modify alcohol consumption behavior.

Indexed as

BrainEthanolPolyadenylationSex CharacteristicsAnimalsFemaleGene Expression RegulationMaleMice, Inbred C57BLNeuronsRNA, MessengerEthanolRNA, MessengerAlcohol use disorderAlternative polyadenylationChronic intermittent ethanol exposure procedureGene expressionSynaptic plasticity

Identifiers

PMID42595924
PMCPMC13473237

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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.