Marine n3 polyunsaturated fatty acids enhance resistance to mitochondrial permeability transition in heart failure but do not improve survival
Bibliographic record
Abstract
Mitochondrial dysfunction in heart failure includes greater susceptibility to mitochondrial permeability transition (MPT), which may worsen cardiac function and decrease survival. Treatment with a mixture of the n3 polyunsaturated fatty acids (n3 PUFAs) docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) is beneficial in heart failure patients and increases resistance to MPT in animal models. We assessed whether DHA and EPA have similar effects when given individually, and whether they prolong survival in heart failure. Male δ-sarcoglycan null cardiomyopathic hamsters were untreated or given either DHA, EPA, or a 1:1 mixture of DHA + EPA at 2.1% of energy intake. Treatment did not prolong survival: mean survival was 298 ± 15 days in untreated hamsters and 335 ± 17, 328 ± 14, and 311 ± 15 days with DHA, EPA, and DHA + EPA, respectively (n = 27-32/group). A subgroup of cardiomyopathic hamsters treated for 26 wk had impaired left ventricular function and increased cardiomyocyte apoptosis compared with normal hamsters, which was unaffected by n3 PUFA treatment. Evaluation of oxidative phosphorylation in isolated subsarcolemmal and interfibrillar mitochondria with substrates for complex I or II showed no effect of n3 PUFA treatment. On the other hand, interfibrillar mitochondria from cardiomyopathic hamsters were significantly more sensitive to Ca(2+)-induced MPT, which was completely normalized by treatment with DHA and partially corrected by EPA. In conclusion, treatment with DHA or EPA normalizes Ca(2+)-induced MPT in cardiomyopathic hamsters but does not prolong survival or improve cardiac function. This suggest that greater susceptibility to MPT is not a contributor to cardiac pathology and poor survival in heart failure.
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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) | 0.001 | 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 | 0.000 |
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".