Abnormal meiotic recombination in infertile men and its association with sperm aneuploidy
Bibliographic record
Abstract
Defects in early meiotic events are thought to play a critical role in male infertility; however, little is known regarding the relationship between early meiotic events and the chromosomal constitution of human sperm. Thus, we analyzed testicular tissue from 26 men (9 fertile and 17 infertile men), using immunofluorescent techniques to examine meiotic chromosomes, and fluorescent in situ hybridization to assess sperm aneuploidy. Based on a relatively small sample size, we observed that 42% (5/12) of men with impaired spermatogenesis displayed reduced genome-wide recombination when compared to the fertile men. Analysis of individual chromosomes showed chromosome-specific defects in recombination: chromosome 13 and 18 bivalents with only a single crossover and chromosome 21 bivalents lacking a crossover were more frequent among the infertile men. We identified two infertile men who displayed a novel meiotic defect in which the sex chromosomes failed to recombine: one man had an absence of sperm in the testes, while the other displayed increased sex chromosome aneuploidy in the sperm, resulting in a 45,X abortus after intracytoplasmic sperm injection. When all men were pooled, we observed an inverse correlation between the frequency of sex chromosome recombination and XY disomy in the sperm. Recombination between the sex chromosomes may be a useful indicator for identifying men at risk of producing chromosomally abnormal sperm. An understanding of the molecular mechanisms that contribute to sperm aneuploidy in infertile men could aid in risk assessment for couples undergoing assisted reproduction.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".