Prediction of radiosensitivity by measurement of X-ray induced apoptosis in human blood using the comet assay.
Bibliographic record
Abstract
BACKGROUND: The aim of this work was to determine whether levels of radiation-induced apoptosis in human peripheral leukocytes could be used as a predictor of radiosensitivity. MATERIALS AND METHODS: Peripheral blood was obtained from venous blood and exposed to 0-3 Gy of X-rays. Apoptosis levels were measured at 4, 24, 48 and 72 hours after exposure using the neutral comet assay. Intra-individual apoptotic response was measured using repeated blood samples from four healthy individuals. Inter-individual variation was investigated in whole blood, granulocytes and mononuclear cells from 8 radiotherapy patients (4 demonstrating a radiosensitive response and 4 demonstrating a normal response to radiation exposures). RESULTS: Amongst the four healthy individuals there was both inter- and intra-individual variation of about the same magnitude. However, when comparing the apoptotic response of the radiosensitive and normal patients, consistent trends were observed at all X-ray doses for all of the patients. CONCLUSION: This indicates that apoptosis has some potential as a predictive assay, however, large intra-individual variation exists. More studies are required to investigate the causes of intra-individual variation and how it might be minimized.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".