Acute sodium arsenite treatment induces <i>Cyp2a5</i> but not <i>Cyp1a1</i> in the C57Bl/6 mouse in a tissue (kidney) selective manner
Bibliographic record
Abstract
Modulation of hepatic and extrahepatic detoxication enzymes Cyp1a1, Cyp2a5, glutathione S-transferse Ya (GSTYa) and NAD(P)H:quinone oxidoreductase (QOR) dependent catalytic activity and mRNA levels were investigated at 1, 2, or 4 days in liver, lung, or kidney of male, adult CD57 Bl/6 mice treated sc with a single dose (85 micromol/kg) of sodium arsenite (As3+). Maximum decreases of total hepatic cytochrome P450 (CYP) monooxygenase content and catalytic activities, occurring at 24 h, corresponded with maximum increases of heme oxygenase (HO-1) in all tissues, as well as maximum plasma total bilirubin. Extrahepatic increases in CYP were observed only in non-AHR dependent isozymes in the kidney, where both Cyp2a5 mRNA and catalytic activity increased maximally 24 h after treatment. In contrast, no significant changes in Cyp2b1/2-dependent PROD or mRNA activity and decreases in Cyp1a1-dependent-EROD activity were noted 1, 2, or 4 days after treatment. Increases in QOR catalytic activities were observed in all tissues examined with increased mRNA in kidney. On the other hand, GSTYa catalytic activity and mRNA increases were only detected in kidney. This study demonstrates the differential modulation of CYP, QOR, and GST-Ya, important drug metabolizing enzymes after acute As3+ administration. The induction of Cyp2a5, QOR, and GSTYa catalytic activity and gene expression occurred primarily in kidney during or shortly after conditions of oxidant stress.
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 | 0.001 |
| 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".