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Record W2116854643 · doi:10.1093/brain/awu018

Lafora’s odyssey reaches a mysterious port of call

2014· letter· en· W2116854643 on OpenAlexaff
Berge A. Minassian

Bibliographic record

VenueBrain · 2014
Typeletter
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsLafora diseaseProgressive myoclonus epilepsyMyoclonusPathologyNeuroscienceMedicineBiologyGenetics

Abstract

fetched live from OpenAlex

In 1911, the Spanish neurologist-pathologist Gonzalo Lafora, working at the then Government Hospital for the Insane in Washington DC, first described the progressive myoclonus epilepsy that would later bear his name (Lafora, 1911). The journey to understand this disease started with Lafora’s detailed neuropathological description of the large and profuse inclusions (Fig. 1) that would come to be known as Lafora bodies. The odyssey has visited many a shore, and the latest and most mysterious is revealed by Javier Gayarre et al. (2014) in this issue of Brain. Lafora bodies as drawn by Lafora in his original manuscript (Lafora, 1911). Whereas the ‘amyloid’ plaques of Alzheimer’s disease are not in fact amyloid (starch), Lafora bodies, by contrast, are. Lafora bodies are composed of hyperphosphorylated and malformed glycogen molecules. These abnormal starch-like polyglucosans aggregate to form insoluble masses, which over time accumulate inside neuronal somata and dendrites. Lafora disease is caused by loss-of-function mutations in the EPM2A (laforin) or EPM2B (malin) genes (Minassian et al., 1998; Chan et al., 2003). Laforin is the only known glycogen phosphatase. Its absence leads to hyperphosphorylation of glycogen, which correlates with a gradual accumulation of polyglucosans, strongly suggesting that glycogen hyperphosphorylation underlies polyglucosan formation (Tagliabracci et al., 2008). Laforin’s structure resembles that of the plant starch phosphatase SEX4, which is crucial to starch metabolism; its absence leading to a pathological excess of starch. Laforin complements SEX4 and rescues the starch-excess phenotype of SEX4-deficient plants (Gentry et al., 2007). The phosphatase activity of laforin is its only known enzymatic function. Together, these findings suggest a central role for impaired glycogen dephosphorylation by laforin in Lafora disease pathogenesis. As for the enzyme behind glycogen phosphorylation, despite many efforts to identify it, that shore remains unattained. Malin, meanwhile, has been shown to be a ubiquitin E3 ligase. Paradoxically, malin’s only unequivocal target for proteasomal degradation turns out to be none other than laforin (Gentry et al., 2005). How can the absence of malin lead to the same disease as does absence of the protein, laforin, that malin destroys? A solution to this conundrum was suggested by recent work which revealed that, in the absence of malin, laforin accumulates in glycogen and may thus disturb the spherical architecture that is essential for glycogen’s solubility (Tiberia et al., 2012). As such, excess phosphate in glycogen (as a result of laforin deficiency) or excess laforin in glycogen (due to malin deficiency) would have the same effect on glycogen, reducing its solubility and leading it to precipitate and form Lafora bodies. In the current issue of Brain, Gayarre et al. (2014) guide the ship into a new night. They overexpress, in laforin-deficient mice, a form of laforin mutated to lack phosphatase activity, and show that this rescues murine Lafora disease. The inescapable conclusion is that the phosphatase function of laforin is dispensable, and that it is some other function of the laforin-malin complex that is relevant to the disease. The function that Gayarre et al. (2014) highlight, namely autophagy, has been of late a frequent stop in the Lafora voyage, and indeed in the exploration of many other neurodegenerative diseases. Autophagy is disturbed in Lafora disease (Criado et al., 2012), and it has been suggested that defective autophagy impairs the ability of cells to rid themselves of abnormal aggregates, such as malformed glycogen. Gayarre et al. (2014) advance the tantalizing idea that glycogen, in common with proteins, can sometimes be naturally misshapen. This would lead it to precipitate and aggregate, and indeed to accumulate were it not for mechanisms involving laforin and malin that act to clear such deposits. Before accepting autophagy as a port of call of the Lafora saga, one must however keep an open mind. Is it possible that laforin’s sole enzymatic activity is unnecessary? The vicissitudes of the Lafora epic will certainly continue to lead us to exciting lands of milk and honey most relevant to the understanding of neuronal function. But what of the patients who suffer the intractable and continuous seizures, hallucinations and dementia of Lafora disease? The polyglucosans that cause havoc in Lafora disease, irrespective of their shape or origins, are in the end nothing more than chains of glucose. One and only one enzyme, glycogen synthase, manufactures chains of glucose, and recent studies have shown that downregulation of glycogen synthesis prevents Lafora disease in mice (Pederson et al., 2014). While the Lafora pathogenesis ship feels its way through the unknown, a shortcut to safe harbour, namely glycogen synthesis downregulation, may well be open for patients with the disease. Gonzalo Lafora would have appreciated the progress made by the explorers so far.

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)0.001
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.016
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0040.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0160.017
Insufficient payload (model declined to judge)0.0070.002

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 head0.023
GPT teacher head0.268
Teacher spread0.245 · 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
GenreCommentary

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
Published2014
Admission routes1
Has abstractyes

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