Oxidative Stress Induces Parallel Autophagy and Mitochondria Dysfunction in Human Glioma U251 Cells
Bibliographic record
Abstract
Accumulation of reactive oxygen species (ROS) such as hydrogen peroxide (H(2)O(2)) is an oxidative stress response, which induced various defense mechanisms or programmed cell death (PCD). As one of the major types of PCD, autophagy has been observed in response to several anticancer drugs and demonstrated to be responsible for cell death. To date, however, the exact mechanism by which ROS regulates autophagy is still poorly understood. Thus, the purposes of this study were to elucidate how H(2)O(2) exerts its cytotoxic effects on malignant glioma U251 cells and to uncover the molecular mechanism that might be involved. Here, we show that H(2)O(2)-induced autophagy and apoptosis in U251 cells are mediated through the Beclin 1 and Akt/mTOR pathways. Accumulation of ROS leads to changes in mitochondrial permeability with loss of mitochondrial membrane potential and disruption of mitochondrial dynamics at a transcriptional level of fission and fusion. Overexpression of cellular Bcl-2 partially inhibited autophagy through both the Beclin 1 and the Akt/mTOR pathways and led to recovery of mitochondrial dynamics. When autophagy was prevented at an early stage by 3-methyladenine, apoptosis significantly increased. Our data provide the first evidence that H(2)O(2) induces autophagy through interference with the Beclin 1 and Akt/mTOR signaling pathways and is regulated by the anti-apoptotic gene Bcl-2 in glioma U251 cells.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".