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Perineuronal Net and Inhibitory Synapse Remodeling on Striatal Fast-spiking Interneurons by Chronic Alcohol Exposure.
Biorxiv : the Preprint Server for Biology
|July 17, 2025
Summary
Chronic ethanol exposure damages perineuronal nets and inhibitory synapses on specific brain cells, increasing alcohol consumption. This suggests a new target for treating alcohol use disorder.
Area of Science:
- Neuroscience
- Addiction Research
Background:
- Alcohol use disorder involves persistent drinking despite negative consequences.
- Dorsolateral striatum fast-spiking interneurons are crucial for inflexible drinking behaviors.
- The impact of chronic ethanol on these specific interneurons remains unclear.
Purpose of the Study:
- To investigate how chronic ethanol exposure affects the physiology of dorsolateral striatum fast-spiking interneurons.
- To elucidate the role of perineuronal nets and GABAergic synapses in alcohol consumption.
Main Methods:
- Utilized mouse models to study chronic ethanol exposure.
- Examined synaptic changes (GABAergic and glutamatergic) on fast-spiking interneurons.
- Assessed the impact of perineuronal net degradation on neuronal function.
- Employed computational modeling to simulate the effects of altered GABAergic signaling.
Main Results:
- Chronic ethanol exposure led to a significant loss of GABAergic synapses on dorsolateral striatum fast-spiking interneurons.
- Perineuronal nets surrounding these interneurons were degraded by chronic ethanol exposure.
- Enzymatic degradation of perineuronal nets mimicked the reduction in GABAergic transmission.
- Silencing GABAergic projections to the dorsolateral striatum increased voluntary ethanol intake in models.
Conclusions:
- Chronic alcohol exposure remodels perineuronal nets and inhibitory synapses on fast-spiking interneurons.
- These neuroadaptations facilitate continued alcohol drinking, suggesting a mechanism for alcohol use disorder.
- Targeting perineuronal nets or GABAergic signaling may offer therapeutic strategies for alcohol use disorder.

