Saturated Fatty Acid-induced Apoptosis in MDA-MB-231 Breast Cancer Cells
Bibliographic record
Abstract
Little is known about the biochemical basis of the action of free fatty acids (FFA) on breast cancer cell proliferation and apoptosis. Here we report that unsaturated FFAs stimulated the proliferation of human MDA-MB-231 breast cancer cells, whereas saturated FFAs inhibited it and caused apoptosis. Saturated FFA palmitate decreased the mitochondrial membrane potential and caused cytochrome c release. Palmitate-induced apoptosis was enhanced by the fat oxidation inhibitor etomoxir, whereas it was reduced by fatty-acyl CoA synthase inhibitor triacsin C. The non-metabolizable analog 2-bromopalmitate was not cytotoxic. This indicates that palmitate must be metabolized to exert its toxic effect but that its action does not involve fat oxidation. Pharmacological studies showed that the action of palmitate is not mediated via ceramides, reactive oxygen species, or changes in phosphatidylinositol 3-kinase activity. Palmitate caused early enhancement of cardiolipin turnover and decreased the levels of this mitochondrial phospholipid, which is necessary for cytochrome c retention. Cosupplementation of oleate, or increasing beta-oxidation with the AMP-activated protein kinase activator, 5-aminoimidazole-4-carboxamide-1-beta-D-ribonucleoside, both restored cardiolipin levels and blocked palmitate-induced apoptosis. Oleate was preferentially metabolized to triglycerides, and oleate cosupplementation channeled palmitate esterification processes to triglycerides. Overexpression of Bcl-2 family members blocked palmitate-induced apoptosis. The results provide evidence that a decrease in cardiolipin levels and altered mitochondrial function are involved in palmitate-induced breast cancer cell death. They also suggest that the antiapoptotic action of oleate on palmitate-induced cell death involves both restoration of cardiolipin levels and redirection of palmitate esterification processes to triglycerides.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".