Lycopene improves the distorted ratio between AA/DHA in the seminal plasma of infertile males and increases the likelihood of successful pregnancy
Bibliographic record
Abstract
Aims.Male infertility has been associated with imbalance in the polyunsaturated fatty acids arachidonic acid/docosahexaenoic acid (AA/DHA) ratio.This study aimed to assess whether use of the potent antioxidant, lycopene, would affect this imbalance in seminal plasma and to test whether modulation of the AA/DHA ratio correlates with male fertility.Methods.The study included 44 males from infertile couples who were treated with lycopene for three months before scheduled IVF treatment.The control group was 13 fertile males who were also treated with lycopene for three months.AA and DHA levels were measured in seminal plasma before and after treatment.The outcome of IVF treatment after lycopene use in of males from infertile couples was recorded.Results.The subjects were subdivided into 21 normozoospermic males from couples with idiopathic infertility and 23 males with semen abnormalities.Prior to the treatment with lycopene, the AA/DHA ratios in both subgroups of patients were significantly higher than in fertile controls and improved following treatment with lycopene.Improvement was more marked in the normospermic males.Seven spontaneous pregnancies (16%) occurred before the scheduled IVF treatment and 15 couples (42%) achieved pregnancy after IVF.Conclusions.Three months of treatment with lycopene led to a significant improvement in the AA/DHA ratio in seminal plasma of males from infertile couples and facilitated the spontaneous as well as IVF conception.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".