| Home > Publications database > Region- and sex-dependent single-cell transcriptomic signatures of neurons and glia in the prefrontal cortex and nucleus accumbens in a rat model of alcohol relapse. |
| Journal Article | DKFZ-2026-01024 |
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2026
Elsevier Science
Amsterdam [u.a.]
Abstract: Alcohol use disorder (AUD) is characterized by problems controlling alcohol drinking despite adverse consequences, development of tolerance and/or withdrawal symptoms. Notably, sex differences in alcohol consumption patterns and susceptibility to relapse are well documented but remain poorly understood at the molecular level. In this study, we performed single-nuclei RNA sequencing (snRNA-seq) of the medial prefrontal cortex (mPFC) and nucleus accumbens (NAcc) from male and female outbred RccHan Wistar rats exposed to the alcohol deprivation effect (ADE) paradigm, a well-established model of relapse-like drinking behaviour. Comparing high- to low-drinking rats, we found pronounced transcriptional changes across different cell types, with the highest number of differentially expressed genes observed in GABAergic medium spiny neurons (MSNs) of the NAcc and glutamatergic neurons of the mPFC associated with relapse. Importantly, we also identified sex- and region-dependent transcriptional alterations, including differential expression of dopamine receptors and phosphodiesterase family genes, which have previously been associated with AUD in humans, as well as alterations in the transcription of genes associated with synaptic plasticity and neuroimmune signalling. Finally, we found induction of immune-related genes in microglia and sex-dependent activation of immune- and myelination-related genes in astrocytes and oligodendrocytes. These findings highlight cell type-, region-, and sex-dependent molecular signatures associated with alcohol relapse drinking, which may provide new therapeutic targets for AUD.
Keyword(s): addiction ; alcohol use disorder ; dopamine receptor ; neuroinflammation ; phosphodiesterase ; single nuclei RNA sequencing ; synaptic plasticity
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