Alternating Hemiplegia of Childhood: Understanding the Genotype-Phenotype Relationship of ATP1A3 Variations.
Alessandro CapuanoGiacomo GaroneGiuseppe TiralongoFederica GraziolaPublished in: The application of clinical genetics (2020)
Alternating hemiplegia of childhood (AHC) is a rare neurological disorder affecting children with an onset before 18 months. Diagnostic clues include transient episodes of hemiplegia alternating in the laterality or quadriparesis, nystagmus and other paroxysmal attacks as tonic and dystonic spells. Epilepsy is also a common feature. In the past, a great effort has been done to understand the genetic basis of the disease leading to the discovery of mutations in the ATP1A3 gene encoding for the alpha3 subunit of Na+/K+ATPase, a protein already related to another disease named Rapid Onset Dystonia Parkinsonism (RDP). ATP1A3 mutations account for more than 70% of cases of AHC. In particular, three hotspot mutations account for about 60% of all cases, and these data have been confirmed in large population studies. Specifically, the p.Asp801Asn variant has been found to cause 30-43% of all cases, p.Glu815Lys is responsible for 16-35% of cases and p.Gly947Arg accounts for 8-15%. These three mutations are associated with different clinical phenotype in terms of symptoms, severity and prognosis. In vitro and in vivo models reveal that a crucial role of Na+/K+ATPase pump activity emerges in maintaining a correct membrane potential, survival and homeostasis of neurons. Herein, we attempt to summarize all clinical, genetic and molecular aspects of AHC considering ATP1A3 as its primary disease-causing determinant.
Keyphrases
- genome wide
- copy number
- small molecule
- atrial fibrillation
- young adults
- machine learning
- early life
- cerebral ischemia
- spinal cord
- gene expression
- depressive symptoms
- climate change
- single cell
- blood brain barrier
- protein protein
- spinal cord injury
- artificial intelligence
- transcription factor
- amino acid
- brain injury
- deep learning
- binding protein
- childhood cancer
- quantum dots
- genome wide analysis