Characterization of ligand-dependent activation of bovine and pig constitutive androstane (CAR) and pregnane X receptors (PXR) with interspecies comparisons
Bibliographic record
Abstract
1. Nuclear receptors CAR (NR1I3) and PXR (NR1I2) are major ligand-activated transcriptional regulators of xenobiotic metabolism and disposition and modulators of endobiotic metabolism. Differences in xenobiotic selectivity between the human and rodent receptors are well recognized but there is lack of such information on properties of CAR and PXR in important domestic animals. 2. The pig and bovine receptors were cloned and their ligand profiles were systematically compared to corresponding human and mouse forms utilizing a panel of xenobiotics and structural analysis. 3. Pig CAR and PXR resemble their human counterparts which can be rationalized by only modest amino acid changes between critical residues of the human ligand-binding pockets (H203Q for CAR, L210V and M243I for PXR). 4. In contrast, bovine CAR shows a blunted response to CAR agonists and inverse agonists. These changes are likely due to disruptive mutations at or near critical hydrogen bond-forming residues (N165I, Y326F). The unresponsiveness of bovine PXR to human- and mouse-selective agonists may be related to substitutions at important ligand-contacting residues R410Q and F305V, respectively. 5. Our findings have implications for regulation of drug-metabolizing enzymes and transporters and pharmacokinetics in cattle and pigs.
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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 | 0.001 |
| 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) | 0.002 | 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".