A COMPARATIVE ASSESSMENT OF FOLIC ACID-INDUCED CELLULAR SENESCENCE
Bibliographic record
Abstract
The biological functions of folic acid (FA) including the prevention of neural tube defects in developing embryos and synthesis of DNA and its repair, have been well reported in literature. As a result; the fortification of folic acid into many daily foods in Canada such as wheat and cereals is mandatory. We have shown that over-osage of FA causes blood haemolysis, leading to progressive anaemia. It is reported that 200 – 400 μg/ml of FA increases the size of blood cells within 2h of treatment, also leading to abnormal cell division and necrosis (in vitro concentrations). This observation suggests early cell senescence. We hypothesized that FA may play a vital role in cellular senescence. 5th generation Kidney fibroblast (COS-7) cells were treated with 200 μg of FA in combination with an anti-neoplastic agent, nocodazole- prior to FA treatment. FA increased the expression of fibronectin (protein marker for aging) of nocodazole treated cells. Furthermore, fibronectin expression was higher in FA-treated cells of the 14th generation compared to the 8th generation. 14th generation cells also showed a larger decrease in cell size when exposed to FA. This suggests FA over-dosage has an affect on the cell growth cycle.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".