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The action of vitamin K in brain during aging is linked to the pAKT/AKT signaling pathway

2010· article· en· W183921669 on OpenAlexafffund
Alexandra Mabit, Chantal Fournier, Jacynthe Letourneau

Bibliographic record

VenueThe FASEB Journal · 2010
Typearticle
Languageen
FieldNursing
TopicVitamin K Research Studies
Canadian institutionsHôpital du Sacré-Cœur de Montréal
FundersCanadian Institutes of Health Research
KeywordsProtein kinase BStriatumEndocrinologyHippocampusInternal medicineMorris water navigation taskApoptosisWestern blotBiologyCaspase 3Cortex (anatomy)ChemistryProgrammed cell deathNeuroscienceMedicineBiochemistryDopamine

Abstract

fetched live from OpenAlex

Vitamin K (VK) participates in brain function through sphingolipid metabolism and activation of protein Gas6. We have provided evidence that long‐term low phylloquinone (K 1 ) intake leads to cognitive deficits in aging rats and to a concurrent accumulation of ceramides in certain brain regions. To gain further insight on these findings, we investigated the pAKT/AKT cell signaling and caspase‐3 apoptotic processes in 20 mo‐old female SD rats which had been fed diets containing either very low (VL: 80), low (L: 500) and moderately high (H: 2000) levels of K 1 (μg/Kg diet; n=5/group). A fourth group fed the L diet until 14 mo and the H diet until sacrifice was also investigated. The pAKT/AKT ratio (western blot) and caspase‐3 activity (enzymatic assay) which reflect cell survival and cell death respectively, were assessed in pons medulla, frontal cortex, striatum and hippocampus. Strong trends were observed for higher cell survival in the striatum and frontal cortex of rats from the H group. Furthermore, when VK was fed in limited amounts (groups VL and L), pAKT/AKT ratios were higher in the hippocampus than in the other regions. In contrast, caspase‐3 activity was more heterogenous, a finding which may be linked to the assay used. In conclusion, long‐term consumption of a VK rich diet appears to offer cellular protection in brain and could contribute to the maintenance of cognitive functions during aging. Supported by CIHR.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.026
GPT teacher head0.312
Teacher spread0.286 · 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.

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
Published2010
Admission routes2
Has abstractyes

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