Impact of ionizing radiation and low-energy electrons on DNA functionality: radioprotection and radiosensitization potential of natural products
Bibliographic record
Abstract
Ionizing radiation (IR) is a key cancer treatment, but its DNA-damaging effects, particularly double-strand breaks (DSBs) and clustered lesions, pose challenges for therapy. Clustered DNA lesions, often induced by low-energy electrons (LEEs), contribute significantly to genomic instability and repair resistance. Chemotherapeutic agents like cisplatin can enhance IR-induced damage, making tumor cells more susceptible. Emerging strategies in radiation oncology target DNA repair pathways, using inhibitors like poly(ADP-ribose) polymerase (PARP) to sensitize tumors to IR. Natural products, including polyphenols, flavonoids, and alkaloids, offer promising radioprotective effects by scavenging reactive oxygen species and enhancing DNA repair. These agents not only protect normal tissues but also increase tumor sensitivity to IR, improving therapeutic outcomes. Future research should focus on optimizing these natural agents for clinical use, integrating them into radiotherapy protocols for enhanced efficacy and reduced toxicity.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".