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Record W3136863252 · doi:10.1002/mdc3.13191

The <scp>Ala53Thr</scp> Mutation in the <scp>α‐Synuclein</scp> Gene in an Indian Patient with <scp>Young‐Onset</scp> Parkinson's Disease

2021· article· en· W3136863252 on OpenAlexaboutno aff
Sanjay Pandey, Laxmikant Ramkumarsingh Tomar

Bibliographic record

VenueMovement Disorders Clinical Practice · 2021
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsFamily historyDepression (economics)PediatricsMedicineAge of onsetDiseaseCognitive declineSiblingParkinson's diseasePsychiatryPsychologyDementiaInternal medicine

Abstract

fetched live from OpenAlex

The Ala53Thr mutation in the α-synuclein gene (SNCA) was the first genetic mutation reported to cause autosomal-dominant Parkinson's disease (PD).1 The clinical profile of SNCA gene mutations tend to have early-onset PD, with a remarkable levodopa response initially.2 The disease may worsen relatively more rapidly than idiopathic PD and cognitive, psychiatric, and autonomic disorders are frequently observed.2 Here we report a patient with young-onset PD attributed to the Ala53Thr mutation in the SNCA gene; to the best of our knowledge, this is the first report from India. A 38-year-old right-handed male, presented with complaints of slowness in his daily activities and stiffness of the right side of the body for the past 1½ years. He had anosmia and constipation for 5 to 6 years before the onset of these symptoms. He had a history of anxiety and depression in the past. There was no history of any cognitive decline, falls, freezing episodes, sleep disorder, or any autonomic disturbances. However, his family history was very significant (Fig. 1-i). He had 2 brothers, and both had a similar history of early-onset PD; his eldest sibling died at an early age. His mother also had a similar history at the age of 45 years, and she died at the age of 52 years. One of his maternal cousins also had similar complaints and also died at the age of 25 years. He is a Kumauni Brahmin originally from Uttarakhand, and his family later migrated to Nepal. On examination, his Montreal cognitive assessment score was 28/30, and his speech was monotonous. He had facial hypomimia, bradykinesia, and rigidity predominantly on the right side with a decreased arm swing of his right arm and leg on walking (see Video 1). His Movement Disorder Society–Unified Parkinson's Disease Rating Scale (MDS-UPDRS; Part III off) score was 20. He was treated with tablets of levodopa + carbidopa (100 + 25 mg 5 times daily), but the response was poor (MDS-UPDRS Part III on score was 18). His blood and urine investigations, including workup for metabolic disorders and the magnetic resonance imaging of the brain, were normal. Given his clinical presentation and strong positive family history, whole-exome sequencing was done, which detected a heterozygous missense variant in exon 3 of the SNCA gene (chr4:g.90749300C>T; depth: 37x) that results in the amino acid substitution of threonine for alanine at codon 53 (p.Ala53Thr; ENST00000394986.1; Fig. 1-ii). The observed variation lies in the synuclein domain of the SNCA protein and has previously been reported in patients affected with PD.3 The detection of the p.A53T mutation in the SNCA gene in patients with PD marked a turning point in the genetics of PD. Since its first description in 1997 in the large Contursi kindred, this mutation has been reported mostly with Greek and Italian backgrounds due to the existence of a founder effect.1 Our case is the first reported case of PD attributed to the mutation in the SNCA gene from India. In a recent study, we performed whole-exome sequencing in 250 patients with PD, and only 1 patient had a heterozygous variant of unknown significance in the SNCA gene (4:90743416 T>C:p.K96R).4 The phenotype of patients with PD with SNCA mutations resembles sporadic PD but with early-onset and atypical features such as psychiatric symptoms, cognitive decline, and autonomic dysfunction. Our patient had psychiatric symptoms, but he did not have any cognitive decline or autonomic dysfunction. The SNCA mutations usually display a high penetrance and rapidly progressive course, very similar to our family where multiple family members were affected, and many of them had early deaths. However, there are reports where affected members with the p.A53T mutation showed a longer disease duration and marked intrafamilial variability regarding the age of onset, disease severity, and clinical symptoms, including nonmotor features.2 Response to levodopa in SNCA-gene–related PD is usually good, but our patient had a poor response. His elder brother who died at a very young age also had a poor response to levodopa, and he underwent bilateral subthalamic deep brain stimulation with no significant improvement. In a recent study from France, Lesage et al reported a patient with PD with both the SNCA Ala53Thr and heterozygous PRKN Thr240Met variants with a poor response to levodopa.5 He rapidly developed motor fluctuations and impulse control disorders, but he did not have cognitive decline. In this study, 2 other patients carrying the Ala53Thr mutation had a good response to levodopa. To conclude, our patient from India is a case of young-onset PD attributed to the Ala53Thr mutation in the SNCA gene, with some unusual features such as normal cognition and poor response to levodopa. However, future studies are required to know the exact prevalence of SNCA gene mutations in the Indian population. (1) Conception and Design of the Study, (2) Acquisition and Analysis of Data; (3) Drafting a Significant Portion of the Manuscript and Figures. S.P.: 1, 2, 3 L.R.T.: 1, 2, 3 The authors confirm that the approval of an institutional review board was not required for this work. We also confirm that the patient has given written informed consent for the publication of Video 1. We confirm that we have read the Journal's position on issues involved in the ethical publication and affirm that this work is consistent with those guidelines. No specific funding was received for this work. The authors declare that there are no conflicts of interest relevant to this work. The authors declare that there are no additional disclosures to report.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.317
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2021
Admission routes1
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