Methyl gallate protects against oxidative stress‐induced apoptosis in PC12 cells
Bibliographic record
Abstract
Recent studies demonstrate that polyphenols reduce oxidative damage by increasing cell viability, decreasing intracellular ROS and altering GSH metabolism. In addition, polyphenols such as epigallocatechin gallate (EGCG) have been reported to inhibit apoptotic signaling and increase neural cell survival. In an effort to better understand the benefits associated with polyphenol consumption, the aim of this study was to investigate potential anti‐apoptotic effects of EGCG, methyl gallate (MG), gallic acid (GA) and N‐acetylcysteine (NAC) on H2O2‐induced apoptosis in PC12 cells and elucidate protective mechanisms. Pre‐treatment with MG and NAC significantly increase viability of H2O2‐stressed cells, while pre‐treatments with EGCG and GA exacerbates stress. Analyses of apoptosis and mitochondrial membrane potential reveals that MG pre‐treatment prevents mitochondria depolarization, however does not inhibit apoptosis. Further, analysis of DNA degradation and caspase cleavage shows that MG inhibits activation of caspase 9 and has a partial inhibitory effect on DNA degradation. These findings suggest that MG may have potential therapeutic properties against mitochondria‐mediated apoptosis. Research funded by the Northern Ontario School of Medicine and Natural Sciences and Engineering Research Council of Canada.
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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 | 0.001 | 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".