Phase II in vitro metabolism of 3-methylindole metabolites in porcine liver
Bibliographic record
Abstract
1. The Phase II in vitro metabolism of 3-methylindole (3MI) metabolites was investigated in pigs to determine the possible relationship between 3MI Phase II metabolism and 3MI accumulation in fat. Sulphation and glucuronidation of five of the seven major metabolites found to be produced by porcine microsomes was investigated using porcine cytosol and microsomes, respectively. The possible formation of glutathione conjugates was also investigated using microsomally activated 3MI intermediate(s). 2. No sulphation or glucuronidation was observed for metabolites 3-hydroxy-3-methyloxindole, 3-methyloxindole, indole-3-carbinol or 2-aminoacetophenone; however, 5-hydroxy-3-methylindole (5-OH-3MI) was conjugated with both sulphate and glucuronic acid. 3. The enzyme responsible for sulphation of 5-OH-3MI was identified as the thermostable form of phenol-sulphotransferase (TS-PST) based on its susceptibility to TS-PST inhibitors and the correlation between sulphation of 5-OH-3MI and sulphation of the prototype substrate p-nitrophenol (r = 0.94, p < 0.001). 4. A 3MI-glutathione adduct was identified in microsomal incubations containing 3MI and glutathione. 5. Sulphation of 5-OH-3MI was high in pigs with low levels of 3MI in fat. No relationship was observed between 3MI levels in fat and either glutathione transferase or glucuronidation activities in liver.
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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 | 0.001 |
| 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 | 0.001 |
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".