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Record W1494827760

Ketogenic diet: does acetone stop seizures?

2002· article· en· W1494827760 on OpenAlexaff
Sergei S Likhodii, W. McIntyre Burnham

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAcetoneKetogenic dietAnticonvulsantChemistryCerebrospinal fluidEpilepsyInternal medicineEndocrinologyMedicinePharmacologyAnesthesiaBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: The mechanism of action of the ketogenic diet, a therapy for refractory epilepsy, is unknown. Our hypothesis is that acetone, one of three ketones elevated by the ketogenic diet, is directly responsible for the diet's anticonvulsant effects. This study examined the basic concepts of this hypothesis. MATERIAL/METHODS: Rats were acutely injected with acetone intraperitoneally at doses of 1 or 10 mmol/kg, or received acetone chronically in drinking water (1% v/v) for 10 days before being injected with a 1 mmol/kg dose of acetone. Controls consumed regular water and were injected with vehicle. A pentylenetetrazole seizure test was administered 15 min after the injections. Following the test, acetone was measured in the cerebrospinal fluid. RESULTS: A 10 mmol/kg injection of acetone suppressed seizures in 60% of rats (P<0.05). A chronic administration of acetone followed by a 1 mmol/kg injection suppressed seizures in 47% of rats (P<0.05). The acetone concentrations in these rats were 10.3I2.3 and 1.0I0.2 mmol/L, respectively. The effect of the acute 1 mmol/kg injection (without acetone pretreatment) was not statistically significant. This dose elevated acetone to 1.1I0.1 mmol/L in the cerebrospinal fluid. CONCLUSIONS: Our findings suggest that acetone is an anticonvulsant and that chronic administration may enhance its action. Linking acetone to the effects of the ketogenic diet requires further research. In particular, it will be important to confirm that the ketogenic diet generates relevant concentrations of acetone.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score0.365

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 head0.036
GPT teacher head0.235
Teacher spread0.199 · 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 designOther design
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

Citations38
Published2002
Admission routes1
Has abstractyes

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