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Related Experiment Video

Updated: Jul 4, 2026

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis

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Individual differences in ethanol drinking meal structure are shaped by social environments.

Marie A Doyle, Caitlyn M Edwards, Sabrina D Hallal

Biorxiv : the Preprint Server for Biology

|July 3, 2026

Summary

High-resolution lickometers reveal distinct alcohol drinking patterns in mice, influenced by sex and housing. These drinking phenotypes correlate with social behaviors, offering insights into alcohol use disorder heterogeneity.

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Area of Science:

Neuroscience
Behavioral Science
Pharmacology

Background:

Alcohol use disorder (AUD) exhibits significant heterogeneity in drinking patterns and health outcomes.
Preclinical models are crucial for understanding interindividual variability in AUD.
Existing methods may not fully capture the nuances of drinking behavior.

Purpose of the Study:

To analyze high-resolution mouse ethanol intake data using capacitive lickometers (LIQ PARTI and LIQ HD).
To quantify behavioral variability in ethanol consumption across different housing conditions (group vs. single) and sexes.
To identify distinct drinking phenotypes and their relationship with social behaviors.

Main Methods:

Utilized open-source capacitive lickometer systems for continuous, high-resolution monitoring of mouse fluid intake.
Developed a fluid "meal" pattern analysis integrating ethanol and water consumption to define discrete drinking episodes.
Applied principal component analysis (PCA) to meal variables and conducted a tube test dominance assay to assess social hierarchy.

Main Results:

Substantial individual differences in alcohol intake were observed, varying by sex and housing status.
Fluid meal pattern analysis revealed sex- and housing-dependent drinking structures, with group-housed males showing fewer but faster meals.
PCA identified a "distributed meal" phenotype (increased meal number, reduced size, earlier onset, higher ethanol preference) associated with male offensive dominance behavior.

Conclusions:

High-resolution, longitudinal analysis of ethanol drinking reveals distinct behavioral phenotypes.
These phenotypes are linked to key components of social behaviors, particularly in males.
This approach provides a framework for understanding heterogeneity in AUD-related drinking patterns.