Induction of the rat hepatic aryl hydrocarbon receptor nuclear translocator by glucocorticoids
Bibliographic record
Abstract
The aryl hydrocarbon receptor nuclear translocator (ARNT) is a shared partner between the hypoxia signaling pathway and the dioxin‐responsive aryl hydrocarbon receptor signaling pathway. Dexamethasone (DEX), a synthetic glucocorticoid known to activate both the glucocorticoid receptor (GR) and the pregnane X receptor (PXR), was shown previously to increase rat hepatic ARNT mRNA levels. To examine the roles of GR and PXR in this response, we treated male rats with the GR‐selective agonist triamcinolone acetonide (TA), the PXR‐selective agonist pregnenolone‐16α‐carbonitrile (PCN), and several doses of DEX. At 6 h following TA treatment, there was a 7.5‐fold induction of ARNT mRNA and a 4.5‐fold increase in levels of an unidentified lower molecular weight protein reacting with ARNT antibody. There was a trend for increased ARNT protein levels at 24 h after TA exposure. PCN treatment had no effect on these ARNT parameters. A low dose of DEX (1 mg/kg), shown to activate GR but not PXR, caused a 10‐fold induction of ARNT mRNA at 6 h along with a 6.5‐fold increase in levels of the unidentified ARNT antibody‐reactive protein. A trend for increased ARNT protein levels at 24 h was observed, but only at higher doses of DEX (10 to 50 mg/kg), shown to activate both GR and PXR. These findings suggest that the GR is a key mediator of the induction of rat hepatic ARNT expression by glucocorticoids. [Support: CIHR]
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 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 | 0.001 | 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 | 0.001 |
| 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".