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Trinidad M, Hong X, Froelich S, Daiker J, Sacco J, Nguyen HP, Campagna M, Suhr D, Suhr T, LeBowitz JH, Gelb MH, Clark WT. Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix. Genome Biol 2023; 24:172. [PMID: 37480112 PMCID: PMC10360315 DOI: 10.1186/s13059-023-03001-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 06/29/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND Metachromatic leukodystrophy (MLD) is a lysosomal storage disorder caused by mutations in the arylsulfatase A gene (ARSA) and categorized into three subtypes according to age of onset. The functional effect of most ARSA mutants remains unknown; better understanding of the genotype-phenotype relationship is required to support newborn screening (NBS) and guide treatment. RESULTS We collected a patient data set from the literature that relates disease severity to ARSA genotype in 489 individuals with MLD. Patient-based data were used to develop a phenotype matrix that predicts MLD phenotype given ARSA alleles in a patient's genotype with 76% accuracy. We then employed a high-throughput enzyme activity assay using mass spectrometry to explore the function of ARSA variants from the curated patient data set and the Genome Aggregation Database (gnomAD). We observed evidence that 36% of variants of unknown significance (VUS) in ARSA may be pathogenic. By classifying functional effects for 251 VUS from gnomAD, we reduced the incidence of genotypes of unknown significance (GUS) by over 98.5% in the overall population. CONCLUSIONS These results provide an additional tool for clinicians to anticipate the disease course in MLD patients, identifying individuals at high risk of severe disease to support treatment access. Our results suggest that more than 1 in 3 VUS in ARSA may be pathogenic. We show that combining genetic and biochemical information increases diagnostic yield. Our strategy may apply to other recessive diseases, providing a tool to address the challenge of interpreting VUS within genotype-phenotype relationships and NBS.
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Affiliation(s)
- Marena Trinidad
- Translational Genomics Group, BioMarin Pharmaceutical Inc., Novato, CA, USA
| | - Xinying Hong
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Steven Froelich
- Translational Genomics Group, BioMarin Pharmaceutical Inc., Novato, CA, USA
| | - Jessica Daiker
- Department of Chemistry, University of Washington, Seattle, WA, USA
| | - James Sacco
- Translational Genomics Group, BioMarin Pharmaceutical Inc., Novato, CA, USA
| | - Hong Phuc Nguyen
- Translational Genomics Group, BioMarin Pharmaceutical Inc., Novato, CA, USA
| | - Madelynn Campagna
- Department of Chemistry, University of Washington, Seattle, WA, USA
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | | | | | | | - Michael H Gelb
- Department of Chemistry, University of Washington, Seattle, WA, USA.
- Department of Biochemistry, University of Washington, Seattle, WA, USA.
| | - Wyatt T Clark
- Translational Genomics Group, BioMarin Pharmaceutical Inc., Novato, CA, USA.
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Wang BL, Lu FL, Sun YC, Wang HJ. Case report: A compound heterozygous mutations in ARSA associated with adult-onset metachromatic leukodystrophy. Front Neurol 2022; 13:1011019. [PMID: 36324388 PMCID: PMC9619211 DOI: 10.3389/fneur.2022.1011019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/23/2022] [Indexed: 11/13/2022] Open
Abstract
Metachromatic Leukodystrophy (MLD) is a rare autosomal recessive disease, which is caused by mutations in the arylsulfatase A (ARSA) gene. The ARSA gene is located on chromosome 22q13, containing eight exons. According to the age of onset, MLD can be divided into late infantile type, juvenile type, and adult type. Adult MLD has an insidious onset after the age of 16 years. Additionally, intellectual as well as behavioral changes, such as memory deficits or emotional instability, are commonly the first presenting symptoms. There is a study that reported an adult-onset MLD manifested cognitive impairment progressively due to compound heterozygous mutations of NM_000487: c.[185_186dupCA], p.(Asp63GlnfsTer18), and NM_000487: c.[154G>T], p.(Gly172Cys), rs74315271 in the ARSA gene, finding that the c.[154G>T], p.(Gly172Cys) is a novel missense mutation. Brain magnetic resonance imaging (MRI) revealed symmetrical demyelination of white matter. The activity of ARSA enzymatic in leukocytes decreased. Nerve conduction studies displayed that evidence of polyneuropathy was superimposed upon diffuse, uniform demyelinating, and sensorimotor polyneuropathy. Family genes revealed that each family member carried one of two heterozygous mutant genes. She has been discharged and is currently being followed up. This study found a compound heterozygous mutation in the ARSA gene associated with MLD and identified a novel missense mutation NM_000487: c.[154G>T], p.(Gly172Cys), rs74315271. This will provide a critical clue for prenatal diagnosis of the offspring in this family, and expand the mutation spectrum of MLD-related ARSA.
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Affiliation(s)
- Bing-lei Wang
- Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Fen-lei Lu
- Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yu-chen Sun
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China
- *Correspondence: Yu-chen Sun
| | - Hui-juan Wang
- Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
- Hui-juan Wang
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