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Record W4406388131 · doi:10.1212/wnl.0000000000210300

Child Neurology: Severe <i>GMPPB</i> -Related Congenital Muscular Dystrophy With Rapidly Progressive Encephalopathy Leading to Infantile Death

2025· article· en· W4406388131 on OpenAlexaff
Susan Blaser, Anne‐Marie Guerguerian, Lili‐Naz Hazrati, Grace Yoon

Bibliographic record

VenueNeurology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsMcGill UniversitySickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsNeurologyMedicinePediatricsCongenital muscular dystrophyEncephalopathyMuscular dystrophyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Pathogenic variants in GMPPB cause congenital muscular dystrophy through hypoglycosylation of alpha-dystroglycan (OMIM #615350). The established phenotypic spectrum of GMPPB-related disorders includes recurrent rhabdomyolysis, limb-girdle muscular dystrophy, neuromuscular transmission abnormalities, and congenital muscular dystrophy with variable brain and eye anomalies. We report a 9-month-old male infant with congenital muscular dystrophy, infantile spasms, and compound heterozygous pathogenic variants (c.624T>G and c.1000G>A) in GMPPB who presented acutely in status epilepticus progressing to refractory hemodynamic instability and multiorgan failure leading to death 20 days after admission. Brain MRI showed a pattern of symmetric diffusion restriction consistent with possible vigabatrin toxicity and progressive cerebral volume loss. Postmortem neuropathology examination confirmed features of dystroglycanopathy including patchy loss of dystroglycan staining of muscle. This report of infantile death in an individual with a GMPPB-related disorder raises concern for potential risk of early mortality possibly exacerbated by vigabatrin toxicity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.003
GPT teacher head0.215
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations2
Published2025
Admission routes1
Has abstractyes

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