Safety and tolerability of repeated administration of pyridoxal 2-chlorobenzoyl hydrazone in rabbits
Bibliographic record
Abstract
Recently, pyridoxal 2-chlorobenzoyl hydrazone (o-108) has been identified as an effective iron chelator [Link et al., Blood 2003; 101: 4172-79]. Since chronic treatment would be necessary in its potential indications, in the present study, the safety and tolerability of this agent after repeated administration was determined. Three doses of o-108 (25, 50, 100 mg/kg, in 10% Cremophor EL) were administered intraperitoneally, once weekly, for 10 weeks to three groups (n=5 each) of Chinchilla male rabbits. The effects on biochemical, haematological and cardiovascular parameters were examined during the experiment; histopathological examination was performed at the end of the experiment. Results were compared with control (saline 2 mL/kg, n=11) and vehicle groups (10% Cremophor EL, 2 mL/kg, n=12). No premature deaths occurred; the well-being of animals was evidenced by their body weight gain, although lower gain was observed with the highest dose (100 mg/kg). Significant elevations of cardiac troponin T plasma concentrations were observed with the highest dose of o-108, but no abnormalities were found in the cardiovascular function and only minor and inconsistent changes in haematological and biochemical parameters were observed. Histopathological examinations of selected organs revealed only weak and reversible changes through all studied groups. Thus, the data from this study suggest that o-108 remains a promising drug from the standpoint of the possibility of its repeated administration and warrants further investigation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| 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 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".