Ethanolic extract of Mimosa caesalpiniifolia leaves: Chemical characterization and cytotoxic effect on human breast cancer MCF-7 cell line
Bibliographic record
Abstract
Mimosa caesalpiniifolia popularly known as sabia or sansao-do-campo is a Brazilian Northeast native perennial tree used for several purposes and in traditional medicine. The aim of the present work was to determine some of the constituents and evaluate the cytotoxic activity of the ethanolic extract of M. caesalpiniifolia leaves (EEM) to MCF-7 cells, a human breast adenocarcinoma cell-line. EEM presented 651.90 +/- 630 mg/g total phenols and 170.11 +/- 1.20 mg/g flavonoids, namely catechin. EEM and cyclophosphamide (cytotoxic agent) treatment for 24 and 48 h decreased the MCF-7 cells protein content, as compared to control cells. Morphological analysis, after hematoxylin-eosin staining of cells, showed changes such as cell rounding-up, shrinkage, nuclear condensation and significantly (p < 0.01) reduction of cell and colony diameters, that indicates the EEM cytotoxic effect to MCF-7 cells. EEM treatment also induced cell death, with a maximum effect at 320.0 mu g/mL, and its mechanism of action seems to include the induction of apoptosis, as DNA fragmentation in a ladder-pattern was obtained from the genomic DNA analysis. Our data support a positive role of the EEM as a chemopreventive agent and a good candidate for an antineoplastic drug development. (C) 2014 SAAB. Published by Elsevier B.V. All rights reserved.
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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".