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Chronic <i>in vitro</i> ketosis is neuroprotective but not anti‐convulsant

2010· article· en· W2151668732 on OpenAlexafffund
Marina Samoilova, Michael Weisspapir, Peter A. Abdelmalik, Alexander A. Velumian, Peter L. Carlen

Bibliographic record

VenueJournal of Neurochemistry · 2010
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversity of TorontoUniversity Health NetworkToronto Western Hospital
FundersCanadian Institutes of Health Research
KeywordsNeuroprotectionKetosisKetogenic dietStatus epilepticusMedicineKetone bodiesExcitotoxicityHypoglycemiaEpilepsyConvulsantHippocampal formationPharmacologyQuinolinic acidQuinolinateNMDA receptorInternal medicineEndocrinologyBiologyDiabetes mellitusMetabolismBiochemistryReceptor

Abstract

fetched live from OpenAlex

The ketogenic diet (KD), used successfully to treat a variety of epilepsy syndromes in humans and to attenuate seizures in different animal models, also provides powerful neuroprotection in various CNS injury models. Yet, a direct role for ketone bodies in limiting seizure and neuronal damage remains poorly understood. Using organotypic hippocampal slice cultures, we established an in vitro model of chronic ketosis for parallel studies of its neuroprotective and anti-convulsant effects. Chronic in vitro treatment with a ketone body, D-beta-hydroxybutyrate, protected the cultures against chronic hypoglycemia, oxygen-glucose deprivation, and NMDA-induced excitotoxicity, but failed to suppress intrinsic and induced seizure-like activity, indicating improved neuroprotection is not directly translated into seizure control. However, chronic in vitro ketosis abolished hippocampal network hyperexcitability following a metabolic insult, hypoxia, demonstrating for the first time a direct link between metabolic resistance and better control of excessive, synchronous, abnormal electrical activity. These findings suggest that the KD and, possibly, exogenous ketone administration, can be more beneficial for the treatment of seizures associated with metabolic stress or underlying metabolic abnormalities, and can potentially be used to optimize clinical applications of the traditional KD or its variants.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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 designBench or experimental
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

Citations55
Published2010
Admission routes2
Has abstractyes

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