Constitutive activation of mTORC1 signaling induced by biallelic loss-of-function mutations in SZT2 underlies a discernible neurodevelopmental disease.
Yuji NakamuraKohji KatoNaomi TsuchidaNaomichi MatsumotoYoshiyuki TakahashiShinji SaitohPublished in: PloS one (2019)
There have been increasing number of reports of SZT2-related neurological diseases, the main symptoms of which are epilepsy, developmental delay, macrocephaly and a dysmorphic corpus callosum. SZT2 functions as a regulator of mechanistic target of rapamycin complex 1 (mTORC1) signaling in cultured human cell lines and mouse tissues. However, it remains to be determined whether mutations in SZT2 in human patients alter mTORC1 signaling. In this study, we aimed to investigate the functional consequence of biallelic SZT2 variants in Epstein-Barr virus-induced lymphoblastoid cell lines (LCLs) established from two patients with a typical SZT2-related neurodevelopmental disease. Increased phosphorylation of S6 kinase and S6 was identified in patient-derived cell lines under amino acid-starved condition, suggestive of constitutive hyperactivation of mTORC1 signaling. This result was validated by constitutive lysosomal localization of mTOR in patients' LCLs. Furthermore, patients' LCLs display an excessive response to slight amino acid stimulation. Our data suggest the loss-of-function nature of SZT2 mutations in the patients, and consequent hyperactivation of mTORC1 signaling in response to both amino acid starvation and stimulation in their LCLs. By these functional analyses, the pathogenicity of newly identified SZT2 variants can be determined, allowing for more detailed characterization of genotype-phenotype correlations.
Keyphrases
- end stage renal disease
- ejection fraction
- chronic kidney disease
- amino acid
- endothelial cells
- epstein barr virus
- prognostic factors
- emergency department
- pseudomonas aeruginosa
- machine learning
- patient reported outcomes
- electronic health record
- dna methylation
- cystic fibrosis
- physical activity
- copy number
- adverse drug
- biofilm formation
- big data
- artificial intelligence
- congenital heart disease
- sleep quality