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Non-pseudogene-derived complex acid beta-glucosidase mutations causing mild type 1 and severe type 2 gaucher disease
M E Grace1, P Ashton-Prolla, G M Pastores
1Department of Human Genetics, Mount Sinai School of Medicine, New York, NY 10029, USA. grace@msvax.mssm.edu
Gaucher disease, a metabolic disorder, arises from acid beta-glucosidase deficiency. Novel mutations reveal how specific genetic variations influence disease severity and neurodegeneration, impacting patient outcomes.
Area of Science:
- Biochemistry
- Genetics
- Molecular Biology
Background:
- Gaucher disease is an inherited metabolic disorder caused by mutations in the GBA1 gene, leading to deficient acid beta-glucosidase activity.
- This deficiency results in the accumulation of glycosphingolipids within lysosomes, causing various clinical manifestations.
- Three main subtypes of Gaucher disease exist, distinguished by the severity of symptoms and age of onset, linked to different GBA1 mutations.
Observation:
- A severe neonatal Gaucher disease type 2 variant presented with collodion skin, ichthyosis, and rapid neurodegeneration.
- This patient harbored two novel GBA1 alleles: a complex maternal allele (E326K+L444P) and a paternal nonsense mutation (E233X).
- A mild type 1 patient with genotype D140H+E326K/K157Q carried a previously reported complex allele (D140H+E326K) also containing the E326K mutation.
Findings:
- Expression and characterization of the novel alleles revealed that E233X produced no enzyme activity, and K157Q had ~1% normal specific activity.
- The complex allele D140H+E326K in the type 1 patient encoded a neuroprotective enzyme with catalytic efficiency similar to the N370S variant.
- Conversely, the E326K+L444P allele lacked sufficient activity to prevent neurological damage, leading to the severe phenotype in the type 2 variant when combined with E233X.
Implications:
- Characterizing these novel Gaucher disease genotypes provides a molecular basis for the diverse clinical phenotypes observed.
- Understanding the functional impact of complex GBA1 mutations is crucial for predicting disease progression and developing targeted therapies.
- This study highlights the importance of detailed genotype-phenotype correlation in inherited metabolic disorders.
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