Blueberry extract attenuates doxorubicin-induced damage in H9c2 cardiac cells
Bibliographic record
Abstract
The objective of this study was to analyze the cardioprotective roles of 3 wild blueberry genotypes and one commercial blueberry genotype by measuring markers of oxidative stress and cell death in H9c2 cardiac cells exposed to doxorubicin. Ripe berries of the 3 wild blueberry genotypes were collected from a 10-year-old clearcut forest near Nipigon, Ontario, Canada (49°1'39″N, 87°52'21″W), whereas the commercial blueberries were purchased from a local grocery store. H9c2 cardiac cells were incubated with 15 μg gallic acid equivalent/mL blueberry extract for 4 h followed by 5 μM doxorubicin for 4 h, and oxidative stress and active caspase 3/7 were analyzed. The surface area as well as total phenolic content was significantly higher in all 3 wild blueberry genotypes compared with the commercial species. Increase in oxidative stress due to doxorubicin exposure was attenuated by pre-treatment with all 3 types of wild blueberries but not by commercial berries. Furthermore, increase in caspase 3/7 activity was also attenuated by all 3 wild genotypes as well. These data demonstrate that wild blueberry extracts can attenuate doxorubicin-induced damage to H9c2 cardiomyocytes through reduction in oxidative stress and apoptosis, whereas the commercial blueberry had little effect.
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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".