Flavonoids from rooibos tea promote cell death in an osteosarcoma cell line (647.10)
Bibliographic record
Abstract
The Saos2 cell culture system is a well characterized osteoblast‐like cell line used to assess the effects of dietary components such as flavonoids on the production of bone mineral. Saos2 cells are derived from human osteosarcoma and possess desirable characteristics for assessing molecular interactions and mechanistic routes in which nutrients may influence mineral production. While screening rooibos tea flavonoids for potential positive effects on bone mineralization, several flavonoids reduced mineralization, while exhibiting cellular death. Mineral, measured using an Alizarin red assay, was reduced in cells treated with isoquercetin (蠅10uM, p<0.001) vitexin (蠅5uM, p<0.05) and luteolin (蠅15uM, p<0.001) in comparison to controls. Metabolic activity of the mitochondrial reductase was analyzed over 72 hours as a marker for cell viability by measuring the reduction of a tetrazolium dye to a formazan salt. The addition of isoquercetin (p<0.001), vitexin (p<0.001) or luteolin (p<0.001) was shown to attenuate mitochondrial activity in a concentration dependent manner, and was in agreement with the mineralization data. Human osteosarcoma is known for its ability to resist chemotherapy. Thus, further investigation of these compounds may help develop natural strategies that enhance chemotherapeutic agents in addition to reducing toxic side effects. Grant Funding Source : Supported by a NSERC Discovery Grant to W. Ward
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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".