Numerical Chromosomal Abnormalities in Rat Epididymal Spermatozoa Following Chronic Cyclophosphamide Exposure
Bibliographic record
Abstract
Chronic, low-dose treatment of male rats with cyclophosphamide, a chemotherapeutic agent, is known to affect progeny outcome adversely in a dose-dependent and time-specific manner, resulting in increased pre- and postimplantation loss as well as malformations. Concern exists regarding the genetic quality of mature gametes exposed to cyclophosphamide during mitosis and meiosis. The goal of the present study was to determine the effect of chronic cyclophosphamide treatment during spermatogenesis on the frequency of numerical chromosomal anomalies in epididymal spermatozoa. Male rats were treated with either saline or cyclophosphamide (6 mg kg-1 day-1) for 6 or 9 wk, and cauda epididymal spermatozoa were collected. The rat sperm Y-4 fluorescence in situ hybridization assay was used to assess the induction of spermatozoal disomy, nullisomy, and diploidy involving chromosomes Y and 4. The overall frequency of numerically abnormal spermatozoa was elevated approximately 2-fold (P < 0.001) after 9 wk of cyclophosphamide treatment. Exposure for 9 wk, but not for 6 wk, significantly increased the frequency of spermatozoa with chromosome 4 disomy (P < 0.02) and nullisomy (P < 0.05), but disomy Y and diploidy were not significantly increased with treatment compared to corresponding controls. Independent of treatment, only 27% of aneuploid spermatozoa presented with morphological abnormalities, but all diploid spermatozoa were approximately twice the size of normal cells. Thus, cyclophosphamide disrupts meiotic events before pachynema during spermatogenesis, emphasizing the potential for adverse progeny outcomes following genotoxic damage.
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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) | 0.000 | 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) | 0.001 | 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".