The impact of glyphosate at regulatory “safe” levels on reproductive health: cellular and molecular disruptions on male germ line
Bibliographic record
Abstract
Glyphosate, a widely used herbicide in both agricultural and non-agricultural practices, has become pervasive in the environment, leading to significant human and animal exposure. Despite growing evidence of its potential endocrine-disrupting and reproductive toxicity, European regulatory agencies continue to affirm its safety. This study examines the effects of glyphosate on male reproductive health by exposing adult zebrafish to dietary glyphosate at doses within European safety thresholds. After 21 days of exposure, testicular samples were analysed using a combined approach involving transcript analysis, targeted metabolomics and proteomics, epigenetics, as well as immunohistochemistry. At 0.5 mg/kg body weight(bw)/day (the acceptable daily intake, ADI), glyphosate impaired germ cell differentiation and triggered cell-specific changes in histone acetylation within the male germline. Higher exposure levels of 50 mg/kg bw/day (the no observed adverse effect level, NOAEL) induced metabolomic and proteomic disruptions linked to impaired steroidogenesis, DNA damage in germ cells, and alterations in testicular architecture, culminating in reduced reproductive capacity. Interestingly, minimal testicular effects observed at 5 mg/kg bw/day highlighted the non-monotonic dose-response relationship to glyphosate. These findings unveil critical molecular and cellular disruptions caused by glyphosate and emphasize its potential reproductive risks, even at doses considered "safe" by regulatory standards. This research contributes to ongoing discussions surrounding sustainable agricultural practices and public health policies, calling for a re-evaluation of glyphosate safety thresholds.
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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 | 0.001 |
| 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".