Metabolism of Gamma-tocopherol in the Liver of Male Sprague-Dawley Rat
Bibliographic record
Abstract
Vitamin E (VE) plays important roles in the physiological and biochemical processes of animals and humans. However, VE is an unique vitamin that has not been understood thoroughly because the metabolites of VE are very complicated and hard to be analysed. This experiment was conducted to study the metabolism of ?-tocopherol, one of 8 VE isomers, in the liver post-mitochondrial supernatant (S9) of male Sprague-dawley rat (Rattus norvegiens, SD-rat) using a novel approach. The results showed that an optimal reactive system of ?-tocopherol metabolism in vitro was composed of 5 mg/ml of S9, 8 µg/ml of ?-tocopherol, 1 mmol/ml of nicotine amide adenine dinucleotide phosphate (NADPH) and 45 min of reactive time at 35°C. The metabolites of ?-tocopherol could be successfully analyzed using gradient elution and reverse-phase high-performance liquid chromatography (RP-HPLC). A main metabolite was identified as ?-hydroxylate, a side chain of ?-tocopherol, when the structure of ?-tocopherol metabolites was determined using gas chromatography-mass spectrometry (GC-MS). A conclusion was drawn that ?-hydroxylate, a main metabolite of ?-tocopherol, could be most utilized by SD-rat and other mammals.
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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) | 0.001 | 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".