Changes in MAPK pathway in neonatal and adult testis following fetal estrogen exposure and effects on rat testicular cells
Bibliographic record
Abstract
Concerns have been raised about the possible role of the phytoestrogen genistein and the xenoestrogen Bisphenol A (BPA) as endocrine disruptors. In the present study, we examined the effects of fetal exposure to genistein and BPA on the Mitogen-activated protein kinase (MAPK) pathway and on testicular cell populations in neonatal and adult rat testes. At postnatal day (PND) 3, genistein (0.1-10 mg/kg/day) and BPA (1-200 mg/kg/day) induced Raf1 and Erk1/2 mRNA and protein increases in testes, mainly in Sertoli cells. No changes were seen for Mek1. At PND60, Erk1/2 protein expression remained robust in Sertoli cells and in some spermatogonia. Raf1 was predominant in Leydig cells while Mek1 was expressed strongly in spermatogonia, and they were both expressed in pachytene spermatocytes. No consistent change was seen in these proteins at PND60. Transient effects were observed on germ cell populations, while the only remaining effect on adult testicular cells was an increase in Leydig cell number. Rats exposed in utero to the two compounds did not present significant changes in circulating testosterone levels, suggesting normally functioning adult Leydig cells. Furthermore, Sertoli cell numbers were not affected by exposure to genistein and BPA. Finally, around 10% of genistein and BPA exposed rats were sterile, whereas all control rats were fertile. These data suggest that fetal exposure to genistein and BPA exerts transient effects in rat testes and that the changes observed at PND3 did not correlate with relevant changes in germ cell populations, Leydig cell function, or fertility in the adult.
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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) | 0.000 | 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".