Cellular Effects Nanosilver on Cancer and Non-cancer Cells: Potential Environmental and Human Health Impacts
Bibliographic record
Abstract
Nanosilver is extremely small silver particles (1-100 nm in diameter) and have antimicrobial, antifungal, and antiviral properties, which make them one of the most commonly used nanoparticles.There is a lack of biological and toxicological knowledge on the impacts of nanosilver on cellular stress responses, as well as human and environmental health.Nanosilver and ascorbic acid has the potential to be an anticancer therapeutic.In this study, human colon cancer (HCT116) and intestinal epithelial (HIEC-6) cells were used to study nanosilver effects in cancer versus non-cancer cells.Nanosilver increased Nrf2 protein expression and disrupted the cell cycle at the G1 and G2/M phases.Hypoxia attenuated nanosilver-induced oxidative and endoplasmic reticulum stress responses.Nanosilver induced significant mitochondrial oxidative stress in HCT116, whereas it did not in the non-cancer HIEC-6 and nanosilver/sodium ascorbate co-treatment was preferentially lethal to HCT116 cells, which is promising for further research for anticancer therapies.
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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 | 0.000 |
| 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".