Inhibition of Trpv4 rescues circuit and social deficits unmasked by acute inflammatory response in a Shank3 mouse model of Autism.
Stamatina TzanoulinouStefano MusardoAlessandro ContestabileSebastiano BariselliGiulia CasarottoElia MagrinelliYong-Hui JiangDenis JabaudonCamilla BellonePublished in: Molecular psychiatry (2022)
Mutations in the SHANK3 gene have been recognized as a genetic risk factor for Autism Spectrum Disorder (ASD), a neurodevelopmental disease characterized by social deficits and repetitive behaviors. While heterozygous SHANK3 mutations are usually the types of mutations associated with idiopathic autism in patients, heterozygous deletion of Shank3 gene in mice does not commonly induce ASD-related behavioral deficit. Here, we used in-vivo and ex-vivo approaches to demonstrate that region-specific neonatal downregulation of Shank3 in the Nucleus Accumbens promotes D1R-medium spiny neurons (D1R-MSNs) hyperexcitability and upregulates Transient Receptor Potential Vanilloid 4 (Trpv4) to impair social behavior. Interestingly, genetically vulnerable Shank3 +/- mice, when challenged with Lipopolysaccharide to induce an acute inflammatory response, showed similar circuit and behavioral alterations that were rescued by acute Trpv4 inhibition. Altogether our data demonstrate shared molecular and circuit mechanisms between ASD-relevant genetic alterations and environmental insults, which ultimately lead to sociability dysfunctions.
Keyphrases
- autism spectrum disorder
- inflammatory response
- intellectual disability
- liver failure
- attention deficit hyperactivity disorder
- genome wide
- mouse model
- respiratory failure
- copy number
- healthcare
- end stage renal disease
- mental health
- drug induced
- lipopolysaccharide induced
- lps induced
- traumatic brain injury
- chronic kidney disease
- toll like receptor
- newly diagnosed
- early onset
- ejection fraction
- neuropathic pain
- high fat diet induced
- peritoneal dialysis
- type diabetes
- risk assessment
- gene expression
- hepatitis b virus
- human health
- machine learning
- acute respiratory distress syndrome
- metabolic syndrome
- dna methylation
- artificial intelligence
- big data
- skeletal muscle
- brain injury