Effects of polymer-coated metal oxide nanoparticles on goldfish (<i>Carassius auratus</i>L.) neutrophil viability and function
Why this work is in the frame
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Bibliographic record
Abstract
Exposure effects from polyacrylic acid (PAA) metal-oxide nanoparticles (TiO2, CeO2, Fe2O3, ZnO) on fish neutrophil viability and effector functions (degranulation, respiratory burst, inflammatory gene expression) were investigated using primary kidney goldfish (Carassius auratus L.) neutrophils as a model. Several studies have reported cytotoxic effects of NPs but there are limited reports on their potential to perturb the innate immune system of aquatic organisms. PAA-TiO2 significantly decreased neutrophil viability in a time and dose-dependent manner at all measured time points (0-48 h) and concentrations (0-200 µg/mL). Maximum viability decreased by (mean ± SEM): 67.1 ± 3.3%, 78.4 ± 4.2% and 74.9 ± 5.0% when exposed to 50, 100 and 200 µg/mL for 48 h, respectively. PAA-ZnO also significantly decreased neutrophil viability but only at 48 h exposures at higher concentrations. Neutrophil degranulation increased by approximately 3% after 30 min and by 8% after 4 h when exposed to sublethal doses (10 µg/mL) of PAA-CeO2 or PAA-Fe2O3. All PAA-NPs induced an increase in neutrophil respiratory burst when exposed to 10 µg/mL for 30 and 60 min, however, PAA-Fe2O3 was the only NP where the response was significant. Lastly, NPs altered the expression of a number of pro-inflammatory and immune genes, where PAA-TiO2 most significantly increased the mRNA levels of pro-inflammatory genes (il-1b, ifng) in neutrophils by 3 and 2.5 times, respectively. Together, these data demonstrate that goldfish neutrophils can be negatively affected from exposures to PAA-coated NPs and are functionally responsive to specific core-material properties at sublethal doses. These changes could perturb the innate response and affect the ability of fish to respond to pathogens.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it