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Record W2186381492

Starch-like polyglucosan formation in neuronal dendrites in the Lafora form of human epilepsy: a theory of pathogenesis

2005· article· en· W2186381492 on OpenAlexaff
Hannes Lohi, Berge A. Minassian

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLafora diseaseProgressive myoclonus epilepsyGlycogen synthaseDual-specificity phosphataseGlycogenBiologyEpilepsyPathogenesisGlycogen storage diseaseNeurosciencePhosphataseBiochemistryCell biologyEnzymeImmunology
DOInot available

Abstract

fetched live from OpenAlex

Lafora disease is a teenage-onset fatal form of progressive myoclonus epilepsy. In this disease, starch-like polyglu- cosans are formed in neurons, specifically in the neuronal soma and dendrites. Laforin, the protein product of the disease gene, possesses a CBM20 type of starch-binding domain with which it preferentially binds starch over glycogen. It also contains a dual-specificity phosphatase domain with yet unknown phosphoprotein substrate(s). Since polyglucosans are abnormal in human cells and the probable cause of epilepsy in this disease, we theorize that laforin is designed to detect their appearance and initiate mechanisms to prevent their further formation or to promote their disposal. In this article, we review glycogen metabolism pertinent to neurons and the known pathology and biochemistry of Lafora disease and related rare human conditions with polyglucosan formation. We discuss the likeliest most direct pathways through which laforin may inhibit polyglucosan synthesis. We also discern the probable existence of a carbohydrate shuttle system to clear polyglucosans from dendrites. Finally, we detect that the phosphokinase glycogen synthase kinase 3 (GSK3) is a common thread in the pathways invoked to explain the role of laforin. We propose that GSK3 is likely an important participant in the control of polyglucosan formation and accumulation in human brain.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.267

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.272
Teacher spread0.252 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations2
Published2005
Admission routes1
Has abstractyes

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