Cytotoxic Activity of Selected Nigerian Medicinal Plants
Bibliographic record
Abstract
The study investigated eight Nigerian medicinal plants: Artocarpus communis fruit (Ac-F), Cassia sieberiana root bark (Cs-R), Eugenia uniflora leaf (Eu-L), Hibiscus rosa-sinensis flower (Hr-F), Laportea aestuans aerial part (La-A), Massularia acuminata stem bark (Ma-S), Trichilia heudelotii leaf (Th-L), and Xylopia aethiopica fruit (Xa-F), for anticancer activity. The alcoholic extracts of the plants were tested against human prostate DU-145, breast JIMT-1, and pancreatic BxPC-3 cancer cell lines using Methanethiosulfonate (MTS) assay, where chlorambucil was used as positive control. The active fractions were solvent-partitioned and tested against the three cancer cell lines. The results showed a concentration dependent decrease in cancer cell viability and cytotoxicity of four of the extracts, namely Massularia acuminata stem bark (Ma-S), Xylopia aethioipica fruit (Xa-F), Laportea aestuans aerial part (La-A), and Eugenia uniflora leaf (Eu-L). The petroleum ether fraction of X. aethiopica fruit (XP) demonstrated the greatest anticancer activity. At 75 µg mL−1, XP (37.2 ± 4.4%) was comparable to chlorambucil (39.88 ± 2.41%), in its cytotoxicity against breast cancer cell line JIMT-1.
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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".