Low Amounts and High Thiol Oxidation of Peroxiredoxins in Spermatozoa From Infertile Men
Bibliographic record
Abstract
Seminal oxidative stress occurs when there is an increased production of reactive oxygen species (ROS) and/or a decrease of antioxidant activity, promoting impaired sperm function. Peroxiredoxins (PRDX) are abundant in human semen and are important antioxidant enzymes, which act as ROS scavengers and modulators in ROS-dependent signaling. Our aim was to determine whether the levels of PRDX1 and PRDX6 and their oxidation on thiol groups are associated with a decrease in sperm motility and DNA integrity. We evaluated the sperm and seminal PRDX level in men (13 healthy controls, 15 men with clinical varicocele, and 17 men with idiopathic infertility). We assessed conventional semen parameters, sperm DNA integrity (by the sperm chromatin structure assay), lipid peroxidation in seminal plasma and spermatozoa (by the thiobarbituric acid reactive substances assay), and the amount and thiol oxidation of PRDX1 and PRDX6 (by immunoblotting). PRDXs were affected in seminal plasma (lower amounts) and in sperm samples (lower amounts and higher levels of thiol oxidation) characterized by lower sperm motility, higher lipid peroxidation, and sperm DNA damage. The thioloxidation ratio of PRDXs (thiol-oxidized PRDX/total PRDX) correlated negatively with sperm motility (total and progressive) and positively with sperm DNA damage and sperm lipid peroxidation. In conclusion, because of the lower amount of total PRDX1 and PRDX6 and the high thiol oxidation of these PRDXs, very little (less than 20%) protection due to PRDXs remains, and this is associated with impaired sperm function and poor DNA integrity and suggests an important role of PRDXs in the protection of human spermatozoa against oxidative stress.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".