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Leveraging interindividual variability in threat conditioning of inbred mice to model trait anxiety

<p><strong>Abstact</strong></p> <p>Trait anxiety is a major risk factor for stress-induced and anxiety disorders in humans. However, animal models accounting for the inter-individual variability in stress vulnerability are largely lacking. Moreover, the pervasive bias of using mostly male animals in preclinical studies poorly reflects the increased prevalence of psychiatric disorders in women. Using the threat imminence continuum theory, we designed and validated an auditory aversive conditioning-based pipeline in both female and male mice. We operationalized trait anxiety by harnessing the naturally occurring variability of defensive freezing responses combined with a model-based clustering strategy. While sustained freezing during prolonged retrieval sessions was identified as an anxiety-endophenotype biomarker in both sexes, females were consistently associated with an increased freezing response. RNA-sequencing of CeA, BLA, ACC and BNST revealed massive differences in phasic and sustained responders&rsquo; transcriptomes, correlating with transcriptomic signatures of psychiatric disorders, particularly PTSD. Moreover, we detected significant alterations in the excitation/inhibition balance of principal neurons in the lateral amygdala. These findings provide compelling evidence that trait anxiety in inbred mice can be leveraged to develop translationally relevant preclinical models to investigate mechanisms of stress susceptibility in a sex-specific manner.</p> <p><strong>Remarks</strong></p> <p>This submission contains the analysis code and source data to fully reproduce the behavioural, electrophysiology and RNA-seq analysis described in Kovlyagina et al.&nbsp;</p> <p>&nbsp;- Navigate to the <em>behaviour_ephys</em> directory and run the scripts to reproduce the behavioural and electrophysiology analysis</p> <p>- Navigate to the <em>RNAseq</em> directory and run the script to reproduce the RNA-seq analysis</p> <p>&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0