Cytotoxic Properties on Prostate and Cervical Cancer Cells in Culture of «<i>Acti-plus</i>», a Recipe Based on Medicinal Plants from Burkina Faso
Bibliographic record
Abstract
Medicinal plants are increasingly emerging as a real alternative that can contribute to the fight against cancer. The purpose of this study was to evaluate in vitro the antiradical, anti-lipoxygenase and cytotoxic properties on cancerous cells in culture of the medicinal recipe «Acti-plus». The extraction of «Acti-plus» was carried out according the instructions of the traditional health practitioner. Phytochemical screening, as well as the determination of polyphenols and total flavonoids were performed using characterization and assay tests by spectrometry as well as by high performance thin layer chromatography (HPTLC). Antiradical tests for trapping DPPH and ABTS radicals were used to measure the antioxidant potential. Anti-lipoxygenase activity was studied using 15-lipoxygenase (15-LOX) inhibition test. The cytotoxic activity of aqueous extract of «Acti-plus» was evaluated in vitro on human cancers cell using MTT test. The results of the study showed that aqueous extract of «Acti-plus» contains flavonoids, coumarins and tannins. Total phenolic compounds (TPC) and total flavonoids (TFC) were 61.95 ± 0.01 mg GAE/g dry extract and 43.01 ± 0.05 mg QE/g dry extract respectively. The extract exhibited excellent scavenging capacity of DPPH (IC50 = 9.33 ± 1.53 µg/mL) and ABTS (IC50 = 53.33 ± 0.89 µg/mL) radicals antioxidant potential. The study also found that the extract moderately inhibits 15-lipoxygenase at 100 µg/mL. Aqueous extract of «Acti-plus» inhibited in a concentration-dependent manner the proliferation of the three cell lines with best activity (IC50 = 0.317 ± 0.02 mg/mL) on prostate cancer PC-3 cells. These properties give a rational basis for the use of the recipe «Acti-plus» in traditional medicine in Burkina Faso.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".