Resveratrol protects H9c2 embryonic rat heart derived cells from oxidative stress by inducing autophagy: role of p38 mitogen-activated protein kinase
Bibliographic record
Abstract
Recently, many studies have attempted to illustrate the mechanism of autophagy in protection against oxidative stress to the heart induced by H(2)O(2). However, whether resveratrol-induced autophagy involves the p38 mitogen-activated protein kinase (MAPK) pathway is still unknown. This study aimed to investigate whether treating H9c2 cells with resveratrol increases autophagy and attenuates the cell death and apoptosis induced by oxidative stress via the p38 MAPK pathway. Resveratrol with or without SB202190, an inhibitor of the p38 MAPK pathway, was added 30 min before H(2)O(2). After H(2)O(2) treatment, the cells were incubated under 5% CO(2) at 37 °C for 24 h to assess cell survival and death or incubated for 20 min for Western blot and transmission electron microscopy. Flow cytometry was used to detect apoptosis after 6 h of H(2)O(2) treatment. Resveratrol at 20 µmol/L protected H9c2 cells treated with 100 µmol/L H(2)O(2) from oxidative damage. It increased cell survival and markedly decrease lactate dehydrogenase release. In addition, resveratrol increased autophagy and decreased H(2)O(2)-induced apoptosis. Furthermore, the protective effects of resveratrol were inhibited by 10 µmol/L SB202190. Thus, resveratrol protected H(2)O(2)-treated H9c2 cells by upregulating autophagy via the p38 MAPK pathway.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".