Dexrazoxane does not protect against doxorubicin-induced damage in young rats
Bibliographic record
Abstract
Doxorubicin (DOX), an anticancer drug, causes a dose-dependent cardiotoxicity. Some evidence suggests that female children have an increased risk for DOX-mediated cardiac damage. To determine whether the iron chelator dexrazoxane (DXR) could reduce DOX-induced cardiotoxicity in the young, we injected day 10 neonate female and male rat pups with a single dose of saline or DOX, DXR, or DXR + DOX (20:1). We followed body weight gain with growth, measured cardiac hypertrophy after a 2-wk swim exercise program, markers of apoptosis (Bcl-2, BAX, BNIP1, caspase 3 activation), oxidative stress (heme oxygenase 1, protein carbonyl levels), the chaperone protein clusterin, and the transcriptional activator early growth response gene-1 (Egr-1) in hearts of nonexercised and exercised rats on neonate day 38. All DOX-alone and DXR + DOX-treated rats showed decreased weight gain, with female rats affected earlier than male rats. DXR-alone, DOX-alone, and DXR + DOX-treated rats had an increased heart weight-to-body weight (heart wt/body wt) ratio after the exercise program with female rats showing the largest increase in heart wt/body wt. Drug-treated females also showed increased cardiac apoptosis, as measured by the increased expression of the proapoptotic proteins BAX and BNIP1 and the appearance of caspase 3 activation products, and oxidative stress, as measured by increased heme oxygenase 1 expression, and reduced Egr-1 and clusterin expression when compared with the similarly treated male rats. We conclude that DXR preinjection did not reduce DOX-induced noncardiac and cardiac damage and that young female rats were more susceptible to DXR and DOX toxicities than age-matched male rats.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.001 | 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".