Lipid-rich extract from Mexican avocado (Persea americana var. drymifolia) induces apoptosis and modulates the inflammatory response in Caco-2 human colon cancer cells
Bibliographic record
Abstract
Colorectal cancer (CRC) is the third most common type of cancer worldwide. Chemotherapy used in CRC patients has severe side effects. As an alternative, the search to identify natural compounds increases the opportunity to select therapeutics. In this work, the cytotoxic effect of a lipid extract (LEAS) from Mexican native avocado seed (Persea americana var. drymifolia) on colon cancer cells Caco-2 was determined. LEAS was cytotoxic towards Caco-2 cells (IC50 = 28 µg/ml), inducing apoptosis through the activation of caspases 8 and 9. Also, LEAS induced loss of membrane mitochondrial potential, inhibited fatty acid oxidation and increased the superoxide production and mitochondrial ROS. Furthermore, LEAS stimulated secretion of cytokines IL-6 (~500%), IL-8 (~400%) and IL-10 (~150%); whereas IL-1β secretion was inhibited (~50%). The results suggest that LEAS induces apoptosis on Caco-2 cells, indicating that avocado is a source of functional food products that can reduce the risk for development of cancer.
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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".