Introduction: Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder of the motor system. Pathogenic variants in SPTLC1, encoding a subunit of serine palmitoyltransferase, cause hereditary sensory and autonomic neuropathy type 1 (HSAN1), and have recently been associated with juvenile ALS. SPTLC1 variants associated with ALS cause elevated levels of sphinganines and ceramides. Reports on ALS associated with SPTLC1 remain limited. This study aimed to investigate the frequency of SPTLC1 variants in ALS and relevant clinical characteristics.
Methods: We analyzed whole-exome and whole-genome sequence data from 40 probands with familial ALS and 413 patients with sporadic ALS without previously identified causative variants. Reverse transcription polymerase chain reaction (RT-PCR) analysis and droplet digital PCR (ddPCR) were used to assess splicing and mosaicism, respectively. Plasma sphingolipid levels were quantified to analyze biochemical consequences.
Results: The heterozygous c.58G>A, p.Ala20Thr variant was identified in a 21-year-old Japanese female patient presenting with symmetric weakness which slowly progressed over 15 years. RT-PCR analysis showed no splice defects. Plasma sphingolipid levels in the patient were significantly increased compared to her asymptomatic parents. ddPCR revealed that the asymptomatic father harbored a mosaic variant with 17% relative mutant allele abundance in peripheral blood leukocytes.
Conclusions: We identified a pathogenic c.58G>A, p.Ala20Thr SPTLC1 variant in a patient with juvenile ALS, likely inherited from an asymptomatic parent with mosaicism. Lipid analysis results are consistent with previous findings on SPTLC1-associated ALS. Further studies are necessary to determine the clinical effect of mosaic variants of SPTLC1.
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http://dx.doi.org/10.1007/s00415-024-12776-5 | DOI Listing |
J Neurol
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Department of Clinical Neuroscience, Karolinska Insitutet, 171 77, Stockholm, Sweden.
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Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.
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January 2025
Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
PLoS One
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Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
A Directed Acyclic Graph (DAG) offers an easy approach to define causal structures among gathered nodes: causal linkages are represented by arrows between the variables, leading from cause to effect. Recently, industry and academics have paid close attention to DAG structure learning from observable data, and many techniques have been put out to address the problem. We provide a two-step approach, named SEMdag(), that can be used to quickly learn high-dimensional linear SEMs.
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January 2025
Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland.
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