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Record W3198356310 · doi:10.1002/mdc3.13294

Juvenile Dystonia‐Parkinsonism Due to <scp><i>DNAJC6</i></scp> Mutation

2021· article· en· W3198356310 on OpenAlexaboutno aff
David Garza‐Brambila, Claudia N. Esparza-Hernández, Jorge Ramirez‐Zenteno, Daniel Martínez-Ramírez

Bibliographic record

VenueMovement Disorders Clinical Practice · 2021
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsParkinsonismDystoniaPsychologyPediatricsDysarthriaLevodopaPhysical medicine and rehabilitationMedicineNeurological examinationPhysical therapyPsychiatryInternal medicineDiseaseParkinson's disease

Abstract

fetched live from OpenAlex

Juvenile parkinsonism is a genetically heterogeneous clinical syndrome that typically presents with other movement disorders, neurological, and imaging abnormalities.1 Most cases are caused by recessively inherited mutations. In this paper, we present a case of juvenile onset dystonia-parkinsonism caused by DNAJC6 mutation. An 11-year-old female was referred to our service because of gait and balance problems. She was currently enrolled in a special education elementary school. Parents report that pregnancy was uneventful, with no exposure to toxins, drugs, head trauma, or parental consanguinity. Since her first steps at 16 months of age, she walked “as if wearing high heels” with some balance problems. During her childhood, she developed problems with her writing, drawing, bicycling, and skating because of developmental delay. When she was 8 years old, she developed progressive rest tremor in her upper limbs, slowness, and balance problems. At age 10, she received a trial treatment with levodopa/benserazide with considerable improvement. However, she did not continue therapy because family opted for alternative medicine. Parents reported patient's maternal grandfather had an undiagnosed parkinsonian syndrome. A Montreal Cognitive Assessment (MoCA) test score of 8/30 suggested cognitive impairment in different domains including orientation, attention, language, memory, calculation, and abstraction, which was later confirmed in a complete neuropsychological examination. The patient's physical examination (see Video 1 showed normal eye movements, hypokinetic dysarthria, and a “sardonic smile” alternated with hypomimia. Cervical dystonic posture with left torticollis and retrocollis was observed. Parkinsonian features were also noted; more predominant in the right side of her body, with a dystonic flexed posture of her left hand. We found hyperreflexia in both lower extremities. Her gait was observed as “high-heel gait,” with marked heel elevation and shifting standing pressure unto the forefoot. While walking, she kept elbows flexed, an erect posture, and presented a diminished arm stride. We described it as a “cock-walk gait.” Pull test was not performed because she was spontaneously falling. Laboratory tests including complete blood count, comprehensive metabolic panel, thyroid panel, serum ceruloplasmin, urinary copper excretion, and brain magnetic resonance imaging were unremarkable. A targeted gene panel sequencing related with recessive hereditary causes of juvenile parkinsonism was performed and a variant was identified previously reported as a probable pathogen in DNAJC6 gene in homozygous state in exon 17 (NM_001256864.2c.2589delG). Based on clinical features and genetic findings, a juvenile Parkinson's disease (PD) because of DNAJC6 gene mutation was diagnosed. She was started on pramipexol 0.25 mg 3 times daily in addition to physical therapy. After 1 month, she showed a 70% improvement of her Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III examination. This is a case report of juvenile dystonia-parkinsonism. The “cock-walk” gait is characterized by a high-stepping gait walking on the metatarsophalangeal joints, flexed elbows, and an erect spine.2 Although classically seen in inherited or acquired manganism,2-4 other causes are spinocerebellar ataxia type 35 and psychostimulants.6 Juvenile parkinsonism commonly has a genetic basis.1 The clinical spectrum of these forms is broad and complex because of the variable combinations of parkinsonism with other clinical manifestations.1 Table 1 describes characteristics of juvenile parkinsonism. Clinicians need to rule out primary inborn errors of neurotransmitter biosynthesis because these may result in movement disorders with a variety of other neurological symptoms presenting at any age.7 DNAJC6 encodes the brain-specific isoform of auxilin.8, 9 Auxilins have a role in clathrin-mediated endocytosis through the formation of vesicles in presynaptic terminals, their recycling, and the uptake of material. DNAJC6 is a recessive juvenile parkinsonism gene. Some core clinical features of DNAJC6 mutation include parkinsonism, neurological regression, and loss of ambulation. Patients commonly develop other symptoms including dystonia, learning difficulties, epilepsy, and neuropsychiatric features. Most patients show limited response to Levodopa. Dopaminergic-induced complications are common.10, 11 (1) Research Project: A. Conception, B. Organization, C. Execution; (2) Manuscript: A. Writing of the First Draft, B. Review and Critique. D.G.B.: 1A, 1B, 1C, 2A, 2B C.N.E.H.: 1A, 1B, 1C, 2A, 2B J.R.Z.: 1A, 1B, 1C, 2A, 2B D.M.R.: 1A, 1B, 1C, 2A, 2B The authors confirm that the approval of an institutional review board was not required for this work. The authors confirm that informed consent from the patient has been obtained. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines. There are no funding sources or conflicts of interest related to this case. In the past year from the date of submission, D.M.R. received support linked to consultancies from UCB Mexico and speaker honoraria from Abbott Mexico unrelated to this research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.002
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.035
GPT teacher head0.393
Teacher spread0.357 · 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 designNot applicable
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".

Quick stats

Citations6
Published2021
Admission routes1
Has abstractyes

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