Ontogenesis of phase I hepatic drug metabolic enzymes in sheep
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
Cytochrome P450 (CYP) enzymes are important for the metabolism of many drugs. While there is information on their identity and ontogeny in humans and rodents, similar data in sheep are lacking. In the present study, cDNA sequences of several CYP enzymes (CYP2A6, CYP2C19, CYP2D6) were cloned by rapid amplification of cDNA ends. In adult, newborn and fetal sheep the mRNA and protein levels of these CYPs and the regulatory factor, hepatic nuclear factor 4α (HNF4α) were determined in liver samples using real-time PCR and western blotting. The effect of antenatal glucocorticoid on these enzymes was also studied by i.v. infusion of cortisol (0.45 mgh(-1); 80 h) to another group of fetuses. The mRNA and protein levels of the CYPs and HNF4α were low or absent in the fetus, followed by increasing levels in the newborn and adult. Fetal cortisol administration significantly increased the mRNA and protein levels of CYP2D6. Moreover, the correlation observed between the CYP and HNF4α mRNA levels suggests a possible regulatory role for this transcription factor. The findings suggest that fetal and newborn lambs have a low ability to metabolise drugs that are substrates of these enzymes, and that this ability increases with advancing postnatal age, similar to the situation in humans.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 it