Transcriptional profiling of male F344 rats suggests the involvement of calcium signaling in the mode of action of acrylamide-induced thyroid cancer
Bibliographic record
Abstract
Acrylamide (AA) exposure in 2-year cancer bioassays leads to thyroid, but not liver, adenomas and adenocarcinomas in rats. Hypothesized modes of action (MOAs) include genotoxicity/mutagenicity, or thyroid hormone dysregulation. To examine the plausibility of these two or any alternative MOAs, RNA-sequencing was performed on the thyroids and livers of AA-exposed rats, in parallel with measurement of genotoxicity (blood micronucleus and Pig-a mutant frequency) and serum thyroid hormone levels, following the exposure of male Fischer 344/DuCrl rats to 0.0, 0.5, 1.5, 3.0, 6.0, or 12.0 mg AA/kg bw-day in drinking water for 5, 15, or 31 days. Differentially expressed genes in both tissues provided marginal support for hormonal and genotoxic MOAs, which was consistent with negative/equivocal genotoxicity assay and marginal changes in thyroid hormone levels. Instead, there was a pronounced effect on calcium signaling/cytoskeletal genes in the thyroid. Benchmark dose modeling of RNA-sequencing data for the calcium signaling pathway suggests a point of departure (POD) of 0.68 mg/kg bw-day, which is consistent with a POD of 0.82 mg/kg bw-day derived from the thyroid 2-year cancer bioassay data. Overall, this study suggests a novel MOA for AA-induced thyroid carcinogenicity in male rats centered around perturbation of calcium signaling.
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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 | 0.001 | 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) | 0.001 | 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".