Non-Specific Epileptic Activity, EEG, and Brain Imaging in Loss of Function Variants in SATB1 : A New Case Report and Review of the Literature.
Flavia PriviteraStefano PaganoCamilla MeossiRoberta BattiniEmanuele BartoliniDomenico MontanaroFilippo Maria SantorelliPublished in: Genes (2024)
SATB1 (MIM #602075) is a relatively new gene reported only in recent years in association with neurodevelopmental disorders characterized by variable facial dysmorphisms, global developmental delay, poor or absent speech, altered electroencephalogram (EEG), and brain abnormalities on imaging. To date about thirty variants in forty-four patients/children have been described, with a heterogeneous spectrum of clinical manifestations. In the present study, we describe a new patient affected by mild intellectual disability, speech disorder, and non-specific abnormalities on EEG and neuroimaging. Family studies identified a new de novo frameshift variant c.1818delG (p.(Gln606Hisfs*101)) in SATB1 . To better define genotype-phenotype associations in the different types of reported SATB1 variants, we reviewed clinical data from our patient and from the literature and compared manifestations (epileptic activity, EEG abnormalities and abnormal brain imaging) due to missense variants versus those attributable to loss-of-function/premature termination variants. Our analyses showed that the latter variants are associated with less severe, non-specific clinical features when compared with the more severe phenotypes due to missense variants. These findings provide new insights into SATB1 -related disorders.
Keyphrases
- copy number
- resting state
- intellectual disability
- functional connectivity
- high resolution
- working memory
- autism spectrum disorder
- end stage renal disease
- case report
- young adults
- systematic review
- early onset
- genome wide
- newly diagnosed
- machine learning
- chronic kidney disease
- ejection fraction
- gene expression
- dna methylation
- cerebral ischemia
- multiple sclerosis
- big data
- subarachnoid hemorrhage
- deep learning
- brain injury
- fluorescence imaging