Amiodarone’s major metabolite, desethylamiodarone, induces apoptosis in human cervical cancer cells
Bibliographic record
Abstract
Previously, we found that desethylamiodarone (DEA) may have therapeutic potentiality in bladder cancer. In this study, we determined its effects on human cervical cancer cells (HeLa). Cell viability was evaluated by Muse Cell Count & Viability Assay; cell apoptosis was detected by Muse Annexin V & Dead Cell Assay. Cell cycle was flow cytometrically determined by Muse Cell Cycle Kit and the morphological changes of the cells were observed under a fluorescence microscope after Hoechst 33342 staining. The changes in the expression levels of apoptosis-related proteins in the HeLa cells were assessed by immunoblot. Our results showed that DEA significantly inhibited the proliferation and viability of HeLa cells and induced apoptosis in vitro in dose-dependent and also in cell cycle-dependent manner because DEA induced G0/G1 phase arrest in the HeLa cell line. We found that DEA treatment downregulated the expression of phospho-Akt and phospho-Bad. In addition, DEA could downregulate expression of Bcl-2, upregulate Bax, and induce cytochrome c release. Our results indicate that DEA might have significance as an anti-tumor agent against human cervical cancer.
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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".