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Metabolism of Gamma-tocopherol in the Liver of Male Sprague-Dawley Rat

2015· article· en· W2337991986 on OpenAlexaff
Yunan Xu, Johanna Görge, Ziqiang Ding

Bibliographic record

VenueAnimal Nutrition and Feed Technology · 2015
Typearticle
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTocopherolMetaboliteHigh-performance liquid chromatographyVitamin EMetabolismChemistryChromatographyVitaminBiochemistryAntioxidant

Abstract

fetched live from OpenAlex

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.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.242

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.279
Teacher spread0.247 · 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
Published2015
Admission routes1
Has abstractyes

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