Evaluating the Reproductive Toxicity of Florasulam in Bulls: In Vitro Effects on Sperm Parameters and Testicular Cell Function
Bibliographic record
Abstract
ABSTRACT This study investigates the in vitro effects of florasulam, a widely used herbicide with known environmental impact, on bull epididymal sperm and primary testicular cells. Epididymal spermatozoa were collected from the cauda epididymis attached to one testis of a paired set obtained from a local abattoir and diluted to a concentration of 1 × 10 8 spermatozoa/mL. The other testis was used to isolate testicular cells, which were then seeded onto 12‐well and 96‐well plates at the concentration of 5 × 10 5 and 5 × 10 4 cells per well, respectively. Sperm samples were exposed to various concentrations of florasulam (0–1000 μg/mL) for 2 h and evaluated for motility (M), plasma membrane integrity (PMI), acrosome integrity (AI), and mitochondrial membrane potential (MMP). Likewise, testicular cells were treated with different concentrations of florasulam for 48 h and assessed for cytotoxicity, apoptosis, steroidogenesis, and MMP. Statistical analyses were performed using ANOVA followed by Duncan's multiple range test. The results showed that florasulam exposure significantly reduced sperm motility and MMP at concentrations of 100–1000 μg/mL. Additionally, 10 μg/mL florasulam stimulated cell proliferation, whereas 10, 100, and 500 μg/mL inhibited steroid secretion in testicular cells. Apoptosis was significantly increased at 500 and 1000 μg/mL, and MMP was negatively affected at 1000 μg/mL ( p ≤ 0.05). These findings provide the first evidence that florasulam, even at sub‐toxic concentrations, can impair male reproductive function by reducing sperm motility and mitochondrial activity, and by inducing apoptosis and hormonal disruption in testicular cells. This highlights its potential risk to cattle fertility and broader environmental reproductive health.
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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".