Rubinstein-Taybi syndrome: New neuroradiological and neuropsychiatric insights from a multidisciplinary approach.
Paola Francesca AjmoneSabrina AvignoneCristina GervasiniAntonella GiacobbeFedrico MontiAntonella CostantinoSusanna EspositoPaola MarchisioFabio TriulziDonatella MilaniPublished in: American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics (2018)
Rubinstein-Taybi syndrome is a rare, autosomal dominant, plurimalformative disorder that is clinically characterized by intellectual disability and a wide spectrum of congenital anomalies; facial dysmorphisms are typical, and broad thumbs and great toes are particularly distinctive. Its genetic basis is only partially known, with a detection rate of approximately 65-70%; specifically, microdeletions or mutations in the CREBBP or EP300 genes can be found. Much is known about its clinical features and health-care protocols, but some areas of clinical knowledge are currently unsolved. In particular, few efforts have been made until now to understand the variability in the neuropsychological and neurobehavioral profile and to deepen knowledge of the neuroradiological malformative pattern. Consequently, little is known about the possible genotype-phenotype correlations of these issues. Here, we report clinical and genetic data from a cohort of 23 RSTS Italian patients. The most common features in brain magnetic resonance imaging (MRI) were dysmorphic aspects of the corpus callosum (73.6%) with or without minor dysmorphisms of cerebellar vermis, periventricular posterior white matter hyperintensity, and other less common anomalies. The most interesting feature on the whole spine MRI scans was the tendency for a low-lying conus medullaris without terminal filum thickening. These data will help to improve neuropsychiatric and neuroradiological knowledge and highlight specific genotype-phenotype correlations.
Keyphrases
- healthcare
- magnetic resonance imaging
- intellectual disability
- contrast enhanced
- white matter
- genome wide
- computed tomography
- end stage renal disease
- autism spectrum disorder
- electronic health record
- ejection fraction
- diffusion weighted imaging
- newly diagnosed
- chronic kidney disease
- quality improvement
- machine learning
- case report
- prognostic factors
- magnetic resonance
- gene expression
- multiple sclerosis
- patient reported outcomes
- resting state
- dna methylation
- blood brain barrier
- label free
- loop mediated isothermal amplification