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Lifetime consumption of a low vitamin K diet leads to learning impairment in aged rats: potential links with sphingolipid metabolism

2008· article· en· W98289652 on OpenAlexafffund
Guylaine Ferland, Isabelle Carrié, Élisabeth Bélanger, Joseph Rochford

Bibliographic record

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldNursing
TopicVitamin K Research Studies
Canadian institutionsMcGill UniversityUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPonsSphingolipidEndocrinologyHippocampusInternal medicineCeramideWeaningMedullaStriatumMorris water navigation taskBiologyChemistryMedicineBiochemistryDopamineApoptosis

Abstract

fetched live from OpenAlex

In a recent report, we showed VK to preferentially accumulate in brain regions rich in white matter and to positively correlate with certain sphingolipids. In rodents, pharmacological VK deficiency has resulted in behavioral perturbations. Whether a more physiological deficiency leads to similar effects has not yet been determined. To gain insight on this issue, we investigated learning abilities (Morris water maze) in 6, 12 and 20 month‐old female SD rats which had been fed diets containing either very low (VL: 80), low (L: 500) or moderately high (H: 2000) levels of K1 (μg/Kg diet; n=5–10/group) since weaning. In 20‐months rats, cerebroside, sulfatide, sphingomyelin, ceramide and gangliosides were also assessed in cerebellum, midbrain, pons medulla, striatum and hippocampus (Bodennec et al. Meth. Enzymol. 312:101–14, 2000). Lifetime consumption of a low VK diet led to cognitive deficits in old age, rats from VL group showing longer latencies to reach the platform than those from the L and H groups (p<0.05), a finding associated with higher concentrations of ceramides in the hippocampus and lower gangliosides in the pons medulla and midbrain. Learning abilities at 6 or 12 months were not affected by diet. In conclusion, we show for the first time that lifetime consumption of a low VK diet leads to learning impairments in old age and that this may be linked to disturbances in sphingolipid metabolism. Supported by NSERC.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.632

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.016
GPT teacher head0.270
Teacher spread0.254 · 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

Citations0
Published2008
Admission routes2
Has abstractyes

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