Iranian Scorpion (Odontobuthus bidentatus) crude venom change the redox potential of MCF-7 breast cancer cell line and induce apoptosis
Bibliographic record
Abstract
New natural substances obtained from scorpion venoms could be promising approaches for the treatment of cancers.Scorpion venom is a fully mixed compound that containing enzymes, non-enzymes, ions, and other organic compounds that induces apoptosis and necrosis in mammalian cells.In this study, the cytotoxicity effects, redox potential, and the ability of apoptosis induction of Odontobuthus bidentatus scorpion venom on MCF-7 cells were investigated.To do this, the MCF-7 cells were treated with the scorpion venom.MTT and neutral red assays was used to evaluate the cytotoxicity.Catalase, GSH and NO assays are used to determine the cells redox potential.Caspase-3 and cytochrome c release assays were exploited to investigate the apoptosis.The results of MTT and neutral red tests showed that O. bidentatus crude venom has cytotoxic effects on MCF-7 cells.Moreover, the results of catalase, GSH and NO assays showed that the crude venom could change the redox potential of MCF-7 cells, dose dependently which eventually lead to apoptosis.Also, the results of caspase-3 and the release of cytochrome c confirmed cell apoptosis.These results suggest that O. bidentatus venom is a suitable source of apoptosis-inducing compounds.
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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) | 0.001 | 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".