Use of an avian hepatocyte assay and the avian toxchip polymerse chain reaction array for testing prioritization of 16 organic flame retardants
Bibliographic record
Abstract
Risk assessors are challenged with the task of providing data for an increasing number of priority chemicals. High-throughput toxicity screening methods--which permit rapid determination of toxic, molecular, and/or biochemical effects of a wide range of chemicals--are essential to help meet this demand. The avian embryonic hepatocyte in vitro screening method has been utilized in the authors' laboratory to assess the effects of a wide range of environmental contaminants on cytotoxicity and mRNA expression of genes associated with xenobiotic metabolism, the thyroid hormone pathway, lipid metabolism, and growth. Sixteen structurally variable organic flame retardants (OFRs)--including tetrabromoethylcyclohexane (TBECH), tris(2-butoxyethyl) phosphate (TBEP), tricresyl phosphate (TCP), and tris(1,3-dichloro-2-propyl) phosphate (TDCPP)--were screened using the in vitro method in the present study. Hepatocytes from 2 avian species, chicken and herring gull, were prepared, and species differences in hepatocyte viability were observed for several OFRs. For example, TCP was not cytotoxic in chicken hepatocytes up to the highest concentration tested (300 µM), whereas the median lethal concentration (LC50) was 31.2 µM in herring gull hepatocytes. Effects on mRNA expression in chicken embryonic hepatocytes were determined using a 3 × 32 custom-made Avian ToxChip polymerse chain reaction array and were variable among OFRs; TCP, TDCPP, and tris(2,3-dibromopropyl) isocyanurate showed the most significant alterations among the target genes assessed. Overall, this rapid screening method helped prioritize OFRs for further assessment. For example, OFRs that elicited significant effects on cytoxicity or mRNA expression represent prime candidates for egg injection studies that determine adverse effects on the whole animal but are more costly in terms of time, money, and embryo utilization.
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How this classification was reachedexpand
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".