Effects of ibuprofen on the viability and proliferation of rainbow trout liver cell lines and potential problems and interactions in effects assessment
Bibliographic record
Abstract
Under some conditions ibuprofen was either cytotoxic or cytostatic to rainbow trout cell lines: RTL-W1 (liver) and RTH-149 (hepatoma). Ibuprofen at up to 15 microg/mL was not cytotoxic, regardless of dosing protocols, exposure conditions, viability endpoints, or cell lines. Responses to higher ibuprofen concentrations depended on the test methodology. No cytotoxicity was seen when stock ibuprofen solutions had been prepared in ethanol. For stock solutions in dimethylsulfoxide (DMSO), ibuprofen from 50 to 1500 microg/mL elicited little cytotoxicity in cultures in which the final DMSO concentration was 0.05% (v/v), but was consistently cytotoxic after 24 h for cultures with 0.5% DMSO (v/v). Cytotoxicity was evaluated with alamar Blue (AB) and carboxyfluoroscein diacetate acetoxymethyl ester (CFDA-AM) as measures respectively of metabolic activity and membrane integrity. Effective concentrations (EC50s) for ibuprofen with AB and CFDA-AM depended on whether the stock solution was dosed directly into a culture well or mixed in medium prior to being added to a well. For indirect dosing, ibuprofen was more cytotoxic in medium without fetal bovine serum (FBS), whereas for direct dosing ibuprofen was equally cytotoxic in medium with or without FBS. As judged by AB and CFDA-AM EC50s, dosing ibuprofen was directly 10 to 30 times more cytotoxic. In FBS-containing cultures, which was dosed with increasing ibuprofen and DMSO at 0.05% (v/v), cell proliferation was impaired at 50 and 150 microg/mL ibuprofen. Lipopolysaccharide (LPS) at 50 microg/mL had little influence on these cytotoxic and cytostatic effects of ibuprofen in medium with FBS.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| 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".