Resistance of Copenhagen rats to hepatocarcinogenesis does not involve T-cell immunity
Bibliographic record
Abstract
Previously, we have shown that Copenhagen (Cop) rats are highly resistant, compared with susceptible F344 rats, to the growth of glutathione S-transferase 7-7 (GST 7-7) positive preneoplastic liver lesions following treatment with a modified resistant hepatocyte (RH) protocol. Donryu rats, a strain with a level of susceptibility similar to F344, have a reduced T-cell response compared with the closely related, but highly resistant, DRH rat. Cop and DRH rats share several characteristics in their resistance to preneoplastic liver lesion growth and this study, therefore, was designed to examine whether T-cells play a role in Cop resistance. Cop rats were crossed with an athymic (nude) rat to produce F1s that were then interbred to produce F2 animals, some of which were nude with a partial Cop background. A comparison of the susceptibility of nude F2 animals and their euthymic (non-nude) littermates allowed us to determine what role, if any, T-cells play in Cop resistance. We treated 11 Cop, 11 F344, 19 nude F2s, and 18 non-nude F2s with diethylnitrosamine (DEN), followed 3 weeks later by a modified RH protocol. As expected, F344 rats were highly susceptible, having 41.9 +/- 3.3% (mean +/- SEM) of their liver section areas occupied by GST 7-7-positive lesions and Cop rats were highly resistant, having only 4.7 +/- 1.1% of their liver section areas occupied by lesions. Both nude and non-nude F2s were, like Cop rats, highly resistant (1.8 +/- 0.29 and 2.7 +/- 0.45%, respectively). These results show that T-cells are unnecessary for Cop rat resistance, or only play a minor role, and that the nude parental strain is also likely to be resistant to the growth of preneoplastic liver lesions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".