Beneficial effects of microsurgical varicocoelectomy on sperm maturation, <scp>DNA</scp> fragmentation, and nuclear sulfhydryl groups: a prospective trial
Bibliographic record
Abstract
There is evidence to show that varicocele repair can improve conventional sperm parameters but the effects on sperm chromatin integrity have not been fully elucidated. We sought to examine the effects of varicocelectomy on sperm maturation, nuclear chromatin integrity and nuclear sulfhydryl groups. We conducted a prospective study of consecutive infertile men (n=29) that underwent a microsurgical sub-inguinal varicocelectomy for treatment of a clinically palpable varicocele and abnormal semen parameters. Six healthy sperm donors served as controls. We evaluated conventional sperm parameters and markers of sperm chromatin and DNA integrity (aniline blue (AB) staining, iodoacetamide fluorescein (IAF) fluorescence and, % DNA fragmentation index (%DFI) and percent high DNA stainability (%HDS) by sperm chromatin structure assay) before and 6 months after surgery. The sperm %DFI, %HDS, % 5-IAF staining (diffuse head staining) and % AB staining (dark blue) were all significantly lower in the control group compared to infertile men with varicocele (8 vs. 20%, 4.0 vs. 9.6%, 1.7 vs. 16.3%, and 2.5 vs. 13.5% respectively). The %HDS and %DFI decreased significantly after surgery (from 10% to 6% and from 20% to 13%, respectively). Similarly, the %5-IAF and %AB staining also decreased significantly after surgery (from 16.3% to 5.4%, and from 13.5% to 5.4%, respectively). We observed significant inversely relationships between sperm progressive motility and both %IAF staining and %DFI (r=-0.44 and -0.43, respectively). The data show that varicocelectomy is associated with an improvement in sperm DNA integrity and chromatin compaction using three different assays of sperm chromatin integrity.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".