Volatile oil from <i>alpinia officinarum</i> promotes lung cancer regression <i>in vitro</i> and <i>in vivo</i>
Bibliographic record
Abstract
The anti-lung cancer activity of volatile oil from Alpinia officinarum (VOAO) and the underlying mechanism has not been studied. Herein, VOAO was extracted by steam distillation and its components were identified by GC-MS analysis. Cells viability was measured by an MTT assay and the cell survival capacity was tested via a colony formation assay. Apoptosis cells were detected using the Annexin V-FITC/PI method. Hoechst 33342 cell unclear staining was employed to evaluate the nuclear morphology change. The mitochondrial membrane potential was detected by a JC-1 staining assay. Bcl-2, Mcl-1 and cleaved caspase-3 proteins were quantified by immune blotting. Furthermore, VOAO anti-cancer activity was evaluated on an A549 cell xenograft nude mice model. Our results have revealed that VOAO could inhibit the cell viability of lung carcinoma cells and the colony formation capacity. VOAO downregulates Bcl-2 and Mcl-1 and triggers dysfunction of the mitochondrial membrane potential. VOAO further activates caspase-3 cleavage and induces lung cancer cells apoptosis. In addition, VOAO administration significantly suppresses lung cancer growth in xenograft mice without obvious hepatotoxicity. We conclude that VOAO could be an effective, low cytotoxicity natural component for treatment of lung carcinoma.
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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".