Evidence map›Paper›PMID 40215225›Full record

ArticlePloS one2025

Developmental trajectory of voluntary alcohol consumption in adolescent mice using finite mixture modeling and Bayesian posterior probability analysis.

Nathan Yu, Derek Gordon, Hong Zou, Yingying Chen, Lei Yu

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In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nathan YuDepartment of Genetics, Rutgers University, Piscataway, New Jersey, United States of America.
Derek GordonDepartment of Genetics, Rutgers University, Piscataway, New Jersey, United States of America.ORCID 0000-0003-2945-1748
Hong ZouShanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, People's Republic of China.
Yingying ChenDepartment of Electrical and Computer Engineering, Rutgers University, Piscataway, New Jersey, United States of America.
Lei YuDepartment of Genetics, Rutgers University, Piscataway, New Jersey, United States of America.ORCID 0000-0003-4339-3951

Funding

Human genetic polymorphism impact in a mouse modelR21DA020555 · NIDA · RUTGERS, THE STATE UNIV OF N.J. · PI YU, LEI · 2006 to 2007
$304k
NIDA NIH HHS R21 DA020555
6 · The paper itself

Abstract

backgroundAlcohol use disorders (AUDs) pose a significant public health challenge, with adolescence representing a critical period of vulnerability for the initiation of alcohol consumption. Variability in drinking behaviors among individuals complicates efforts to characterize developmental trajectories, limiting our understanding of underlying biological mechanisms.

objectiveThis study aimed to identify and characterize distinct patterns of voluntary alcohol consumption in adolescent mice, using advanced statistical methods to model behavioral heterogeneity.

methodsThirty-five male CD-1 outbred mice were monitored for alcohol consumption using a two-bottle free-choice paradigm from early adolescence to young adulthood (4-11 weeks of age). Finite mixture modeling, using the method implemented in the software SAS Proc Traj, was applied to categorize individual drinking behaviors into trajectory groups based on Bayesian Information Criterion (BIC) and Bayesian Posterior Probabilities (BPP).

resultsThree distinct drinking trajectory groups were identified: non-drinkers, late drinkers, and early drinkers. Non-drinkers exhibited consistently low alcohol consumption throughout the study, late drinkers showed a significant increase in alcohol intake during adolescence-to-adulthood transition, and early drinkers maintained high levels of consumption from the start. Notably, the late and early drinkers converged on similarly high consumption levels by the end of the observation period. These findings highlight the heterogeneity of drinking behaviors during adolescence and its developmental implications.

conclusionsThis study demonstrates the utility of finite mixture modeling in characterizing developmental trajectories of voluntary alcohol consumption in adolescent mice. The identification of distinct behavioral trajectory patterns provides a foundation for future investigations into the genetic, molecular, and neural mechanisms underpinning susceptibility to alcohol use disorders.

Indexed as

Alcohol DrinkingAnimalsBayes TheoremBehavior, AnimalMaleMiceProbability

Identifiers

PMID40215225
PMCPMC11990736

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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.