Toxicity of silver nanoparticles on endometrial receptivity in female mice
Bibliographic record
Abstract
Nanoparticles (NPs) have many toxic effects on fertility and can prevent successful implantation by affecting the maternal uterine tissue. Herein, by deploying 30 female NMRI mice, the effect of silver NPs on the endometrium and implantation has been investigated. Using spherical silver NPs of a diameter of 18–30 nm at doses of 2 and 4 mg/kg, mice in two groups were treated. Then, female mice mated with male mice. Endometrial tissue was extracted 4.5 days later. On the fourth day of pregnancy, the mice were anesthetized and blood samples were taken from the heart; furthermore, endometrial tissue was isolated and used for molecular tests, inductively coupled plasma, and examination of pinopods. The results revealed that the levels of interleukin 6 (IL-6) and IL-1β and the accumulation of NPs in endometrial tissue in the group receiving NPs at a dose of 4 mg/kg had a major increase relative to the other two groups (p < 0.05); the group receiving a dose of 4 mg/kg exhibited a decrease in pinopods and microvillus compared with the other two groups. According to the results, NPs can reach the endometrium, suggesting that caution should be exercised due to serious exposure to NPs throughout pregnancy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".