Resveratrol and Quercetin Potentiate the Cell Protection and Rescue Effects of NAD <sup>+</sup> Precursors in HEK293 Cells Challenged by DNA Damaging Agent, <i>N</i> -Methyl- <i>N′</i> -nitro- <i>N</i> -nitrosoguanidine
Bibliographic record
Abstract
DNA damage plays an essential role in the human ageing process. Recently, accumulating evidence has demonstrated that a decreased level of nicotinamide adenine dinucleotide (NAD + ) is involved in human ageing and suggested that the natural supplements of NAD + precursors and its homeostasis regulators might serve as a promising modality to slow down the human ageing process. In the present study, we analyzed the combinational effects and potential mechanism of NAD + precursors, nicotinic acid (NA) and nicotinamide (NM), and the NAD + ’ homeostasis regulators, resveratrol (R), and quercetin (Q) in the protection and rescue of HEK293 cells from N-methyl- N'-nitro- N nitrosoguanidine (MNNG)-induced DNA damage. The results indicate that resveratrol and quercetin can significantly potentiate the cell protection and rescue effects of NAD + precursors in HEK293 cells attacked by the DNA damaging agent, MNNG. Intracellular NAD + homeostasis and the PARP1 activation status are the key factors in determining the fate of the cells under DNA damaging stress.
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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 | 0.000 | 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 | 0.001 |
| 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".