Biological effects of xenoestrogens and the functional mechanisms via genomic and nongenomic pathways
Bibliographic record
Abstract
Xenoestrogens (XEs) are a class of substances that exert estrogenic effects by mimicking or blocking endogenous hormones. The sources, environmental behavior, and fate of typical XEs are described. XEs’ adverse developmental, metabolic, and immunological effects are then presented with respect to reproductive functions. The mechanisms underlying XEs’ genomic and nongenomic effects are reviewed. XEs can alter gene transcription by interfering with the functioning of conventional estrogen receptors, but they are also capable of activating multiple kinase signaling pathways that disrupt membrane-associated receptors, such as estrogen receptor alpha-36 (ERα36), estrogen receptor alpha-46 (ERα46), and G protein-coupled receptor 30 (GPR30). This review aims to provide insight into XEs’ environmental effects and to explore the prevention and treatment of their estrogenic effects based on sufficient comprehension of the mechanisms involved.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".