Corrigendum to ‘Neurodevelopmental and behavioural effects of waterborne selenite in larval zebrafish (Danio rerio)’ [Environ. Res. 273 (2025) 121240]
Bibliographic record
Abstract
Selenium (Se) is an essential element that becomes highly toxic to fish at elevated exposure levels. Although the neuro-behavioural effects of organic Se are well documented in adult fish, the effects of inorganic Se (selenite) on neurodevelopment and behaviour, particularly in early life stages, remain poorly understood. In this study, zebrafish embryos were exposed to different environmentally relevant concentrations of waterborne Se (0 (control), 10, 50, 100 μg/L; as selenite) from 4 hours post-fertilization to 30 days post-fertilization. We evaluated neurodevelopmental and behavioural outcomes, along with oxidative stress as a potential mechanism of selenite neurotoxicity. Fish larvae exposed to higher Se concentrations (50 and 100 μg/L) exhibited significant behavioural impairments, including reduced thigmotaxis and reflexive movement, spent significantly less time (60 %) near their conspecifics, and lower exploratory response (1.5 fold) to the novel object. These behavioural deficits were associated with elevated oxidative stress, as indicated by increased (5.4 fold) DCF-DA fluorescence intensity and dysregulation (0.6-6.4 fold change) of key antioxidant genes. Additionally, selenite exposure led to increased apoptotic cell death (p < 0.001), and reduced length (16 %) and weight (33-47 %) of zebrafish larvae in 50 and 100 μg/L Se exposure groups compared to the control group. Neurodevelopmental disruptions were evident through altered expression of dopaminergic (mao, th1, otpa; all p < 0.05) and serotonergic (tph2, pet1, 5ht2c; all p < 0.05) pathway genes, critical regulators of behaviour in fishes. Overall, our findings suggest that selenite-induced oxidative stress and neurodevelopmental gene dysregulation contribute to the observed behavioural impairments in developing zebrafish, highlighting the potential risks of Se exposure during early life stages.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.306 | 0.106 |
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".