Radiation-induced apoptosis in mouse lymphocytes is modified by a complex dietary supplement: the effect of genotype and gender
Bibliographic record
Abstract
This study examined whether radiation sensitivity measured by lymphocyte apoptosis could be ameliorated by a complex anti-oxidant/anti-ageing dietary supplement. We also examined lymphocytes from both genders of normal (Nr) mice as well as transgenic growth hormone (Tg) mice that express strongly elevated reactive oxygen species processes and a progeroid syndrome of accelerated ageing. We introduce Tg mice as a potentially valuable new model to study radiation sensitivity. Isolated lymphocytes from all experimental groups were exposed to gamma radiation and the time course of apoptosis was measured in vitro. Kinetics of radiation-induced apoptosis was similar among groups, which peaked at 8 h, but maximal levels differed significantly between groups. Nr male mice had 60% lower levels of radiation-induced apoptosis than Tg males, supporting our hypothesis that Tg mice would be radiation sensitive. The dietary supplement protected lymphocytes in male mice of both strains, with proportionally greater reductions in Tg mice. Lymphocytes from female mice (both Nr and Tg) were highly radiation resistant compared to males and the supplement provided no additional benefit at the doses used in this study. These results highlight that radiation-induced apoptosis is complex and is modified by genotype, dietary supplements and gender.
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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) | 0.001 | 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) | 0.002 | 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".