In vitro Anticancer Activity of Aponogeton madagascariensis Anthocyanin Extracts
Bibliographic record
Abstract
Abstract INTRODUCTION: Aponogeton madagascariensis (lace plant) is a freshwater aquatic flowering plant belonging to the family Aponogetonaceae that forms leaf perforations via programmed cell death (PCD). The lace plant has emerged as a novel model system for studying PCD in planta due to the predictability and accessibility of this process. Anthocyanins, and the balance between ROS and antioxidants, play a central role in regulating PCD in lace plant leaves. Aponogetonaceae family members have shown medicinal properties, including antioxidant and anticancer activities; however, nothing is known about the lace plant’s potential for medicinal use. Therefore, this study evaluated the anticancer activities of lace plant anthocyanin extracts. METHODS: Cell line growth and viability were assessed following exposure to lace plant leaf anthocyanin extracts. This study utilized a triple-negative breast cancer cell line, MDA-MB-231, two human ovarian epithelial cancer cell lines, OVCAR-8 and SKOV-3, along with a normal mammary epithelial cell line, MCF-10A. Furthermore, crude anthocyanin extracts were fractionated into anthocyanin and non-anthocyanin containing fractions and tested only on MDA-MB-231 cells. RESULTS AND DISCUSSION: The crude anthocyanin extracts from lace plant leaves inhibited the growth of MDA-MB-231, OVCAR-8, and SKOV-3 cells in a concentration-dependent manner and had no effect on MCF-10A cells. Lace plant crude anthocyanin extracts appeared to induce apoptosis in MDA-MB-231 cells. Interestingly, treatment with anthocyanin and non-anthocyanin fractions decreased the growth of MDA-MB-231, similarly to crude anthocyanin extracts, suggesting the presence of other anticancer compounds in the lace plant extracts. CONCLUSIONS: Lace plant crude anthocyanin extracts and corresponding fractions have in vitro anticancer activities.
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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) | 0.002 | 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".