Diethylhexyl phthalate exposure impairs follicular development and affects oocyte maturation in the mouse
Bibliographic record
Abstract
Diethylhexyl phthalate (DEHP) is an estrogen-like compound widely used as a commercial plasticizer and present in medical devices, tubing, food containers and packaging. It is considered an endocrine disruptor and studies on experimental animals showed that exposure to DEHP can alter the function of several organs including liver, kidneys, lungs and reproductive system, particularly the developing testes of prenatal and neonatal males. Exposure to DEHP has been proposed as a potential human health hazard. This study assessed the effects of DEHP on folliculogenesis and oocyte maturation using the mouse as the experimental model. Newborn female mice were hypodermically injected with DEHP at doses of 20 and 40 μg/kg per body weight following different exposure regimens during the weaning period. We found that DEHP altered both folliculogenesis and oocyte development. In particular, DEHP exposure significantly decreased the number of the primordial follicles at pubertal and adult age by possibly accelerating the rate of follicle recruitment dynamics, reduced and/or delayed the level of imprinted gene methylation in the oocytes and increased metaphase II spindle abnormalities in oocytes matured in vitro. Furthermore, the weight of pups and litter size of mothers exposed to DEHP were significantly lower than controls. Finally, the number of primordial follicles appeared significantly reduced also in the F1 offspring at the adult age. These results show that DEHP may have a number of adverse effects on oogenesis, especially when exposure occurs during early postnatal age, arising concerns about the exposure of human female infants and children to this compound.
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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) | 0.002 | 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".