Transfat‐mediated apoptosis is regulated by autophagy in primary cardiac myofibroblasts
Bibliographic record
Abstract
Dietary trans fatty acids (TFA) are linked to cardiovascular disease which has led to recommendations to remove TFAs from diet. We investigated the effects of two common fatty acids ‐ vaccenic acid (VA ‐ found in dairy products), and elaidic acid (EA ‐ found in hydrogenated vegetable oils) on cell death in primary rat ventricular myofibroblasts (rVF). VA‐ and EA‐treated cells exhibited apoptotic cell death in rVF, as reflected in MTT and FACS assays. A significant reduction in mitochondrial membrane potential and an increase in the Bax/Bcl2 ratio and Bax translocation to the mitochondria was found suggesting apoptosis in the presence of TFA. Elevated cleaved caspase‐9 and caspase‐3 (without caspase‐8), shows that EA and VA treatments induce caspase‐dependent apoptosis. Transmission electron microscopy reveals autophagosome formation and lysosome activation in VA and EA treated rVF. Induction of autophagy markers including LC3‐B lipidation, increased Atg5‐12 formation and increased beclin‐1 were observed confirming autophagy activation by EA and VA. Inhibition of ATG3 and ATG5 significantly inhibited cytotoxic effects by preventing caspase‐3 and caspase‐7 activation in EA and VA treated rVF. In conclusion we show that TFAs induce apoptosis and autophagy in rVF and that TFA‐induced autophagy is required for this proapoptotic effect. Supported by CIHR and DFC.
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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".