Smoking and reproduction: gene damage to human gametes and embryos
Bibliographic record
Abstract
Assisted conception is a useful methodology for detecting disturbances in clinical outcome, meiotic maturation, and genetic integrity of human gametes. Germinal cells are vulnerable to genetic damage from smoking, but can repair damage during meiosis. In ejaculated spermatozoa, repair capacity declines drastically. Smoking alters the meiotic spindle of oocytes and spermatozoa, leading to chromosome errors which affect reproductive outcomes. Smoking is associated with reduced numbers of retrieved oocytes, leading to early age of menopause. Oocyte elimination occurs preferentially during meiosis I, a period sensitive to genetic damage. Smoking inhibits embryo fragmentation; inhibition may confer survival advantage to embryos genetically altered. Smoking is associated with low sperm quality, but clinical effects are not recognized. Cadmium (a heavy metal), nicotine (a toxic alkaloid), and its metabolite cotinine, are detectable in gonadal tissues and fluids in association with smoking. Cotinine incorporates into ovarian granulosa-lutein cells, compromising the developmental potential of follicles. Benzo[a]pyrene is a carcinogenic polycyclic aromatic hydrocarbon resulting from cigarette combustion. Its reactive metabolite binds covalently to DNA, forming adducts. Smoking-related adducts were detectable in ovarian granulosa-lutein cells, oocytes, spermatozoa and preimplantation embryos. Transmission of altered DNA from smoking by spermatozoa was demonstrated in preimplantation embryos and in association with increased risk of childhood cancer.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".