Shank3 deficits in the anteromedial bed nucleus of the stria terminalis triggers anxiety phenotype.
Alessandro ContestabileGiulia CasarottoStefano MusardoPedro EspinosaFederica MalteseYong-Hui JiangCamilla BelloneChristelle GlangetasPublished in: The European journal of neuroscience (2023)
Anxiety disorders are the most prevalent co-morbidity factor associated with the core domains of Autism Spectrum Disorders (ASD). Investigations on potential common neuronal mechanisms that may explain the co-occurrence of ASD and anxiety disorders are still poorly explored. One of the key questions which remained unsolved is the role of Shank3 protein in anxiety behaviors. Firstly, we characterize the developmental trajectories of locomotor, social behavior, and anxiety traits in a mouse model of ASD. We highlight that the anxiety phenotype is a late-onset emerging phenotype in mice with a Shank3 Δe4-22 mutation. Consequently, we used an shRNA strategy to model Shank3 insufficiency in the bed nucleus of the stria terminalis (BNST), a brain region exerting a powerful control on anxiety level. We found that Shank3 downregulation in the anteromedial BNST (amBNST) induced anxiogenic effects and enhanced social avoidance after aversive social defeat. Associated with these behavioural defects, we showed alteration of glutamatergic synaptic functions in the amBNST induced by Shank3 insufficiency during adolescence. Our data strongly support the role of Shank3 in the maturation of amBNST, and its key role in anxiety control. Our results may further help to pave the road on a better understanding of the neuronal mechanisms underlying anxiety disorders implicated in ASDs.
Keyphrases
- autism spectrum disorder
- late onset
- sleep quality
- attention deficit hyperactivity disorder
- healthcare
- mouse model
- depressive symptoms
- traumatic brain injury
- early onset
- spinal cord injury
- type diabetes
- genome wide
- dna methylation
- big data
- multiple sclerosis
- drug induced
- endothelial cells
- cell proliferation
- oxidative stress
- machine learning
- insulin resistance
- working memory
- diabetic rats
- physical activity
- brain injury
- signaling pathway
- high glucose