The action of vitamin K in brain during aging is linked to the pAKT/AKT signaling pathway
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".