Metabolism of 3-Methylindole by Porcine Liver Microsomes: Responsible Cytochrome P450 Enzymes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The role of different cytochrome P450 enzymes on the metabolism of 3-methylindole (3MI) was investigated using selective chemical inhibitors. Eight chemical inhibitors of P450 enzymes were screened for their inhibitory specificity towards 3MI metabolism in porcine microsomes: alpha-naphthoflavone (CYP1A1/2), 8-methoxypsoralen (CYP2A6), menthofuran (CYP2A6), diethyldithiocarbamate (CYP2A6), 4-methylpyrazole (CYP2E1), sulphaphenazole (CYP2C9), quinidine (CYP2D6), and troleandomycin (CYP3A4). The production of 3MI metabolites was only affected by the presence of inhibitors of CYP2A6 and CYP2E1 in the microsomal incubations. In a second experiment, a set of porcine microsomes (n = 30) was analyzed for CYP2A6 content by protein immunoblot analysis and for their coumarin 7-hydroxylation activity (CYP2A6 activity). Both CYP2A6 content and enzymatic activity were found to be highly and negatively correlated with 3MI fat content. The results of the present study indicate that the CYP2A6 porcine ortholog plays an important role in the metabolism of 3MI and that measurement of CYP2A6 levels and/or activity could be a useful marker for 3MI-induced boar taint.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.049 | 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 it