The effects of Benjakul extract and its isolated compounds on cell cycle arrest and apoptosis in human non-small cell lung cancer cell line NCI-H226
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Benjakul, a traditional Thai formulation for cancer treatment, is composed of five plants. This study aimed to assess the cytotoxicity of Benjakul, its five plants, and its isolated compounds against non-small cell lung cancer (NSCLC) by the sulforhodamine B (SRB) assay. EXPERIMENTAL APPROACH: Analyses of cell cycle and membrane asymmetry changes were performed with different fluorescent dyes and analyzed by flow cytometry in NCI-H226 cells. Activation of caspase-3 was measured using a caspase-3 colorimetric assay kit. The pan-caspase inhibitor Z-VAD-FMK was used in analyses of cell cycle and caspase-3 activity. FINDINGS/RESULTS: , indicating its protective effects. Plumbagin and 6- shogaol displayed the highest cytotoxicity and underwent molecular studies in NCI-H226 cells. Flow cytometry analysis revealed that Benjakul and 6-shogaol dose-dependently induced G2/M phase arrest, and plumbagin dose-dependently induced S-G2/M phase arrest with the highest percentage in early incubation time (12-24 h). At the highest doses, Benjakul extract, 6-shogaol, and plumbagin time-dependently increased the population of sub-G1 apoptotic cells with the highest percentage in longer incubation time (60-72 h). Similarly, membrane asymmetry changes showed time-dependent increases in the percentage of early and late apoptotic cells. Moreover, the apoptosis-inducing effect of Benjakul, 6-shogaol, and plumbagin at the highest dose, via the caspase cascade was confirmed by time-dependent induction of caspase-3 activity, followed by its complete reduction and abolished sub-G1 peaks upon addition of Z-VAD-FMK. CONCLUSION AND IMPLICATION: Our findings demonstrated for the first time the effects of Benjakul and its compounds on S-G2/M or G2/M phase arrest and caspase-dependent apoptosis in lung cancer cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".