Is mitochondrial generation of reactive oxygen species a trigger for autophagy?
Bibliographic record
Abstract
Autophagy is a conserved lysosomal degradation pathway that has been extensively studied in recent years. However, the mechanism of autophagy induction is still not clear. Mitochondria are important regulators of both apoptosis and autophagy. One of the triggers for mitochondrial mediated apoptosis is the production of reactive oxygen species (ROS). Recently, several studies have indicated that ROS may be also involved in induction of autophagy. ROS are molecules or ions that are formed by the incomplete one-electron reduction of oxygen, including superoxide (O2 (*-)), hydrogen peroxide (H2O2), hydroxyl radical ((*)OH), nitric oxide (NO), and peroxynitrite (ONOO-). Our recent studies provide strong evidences for the involvement of mitochondrially-generated ROS production in the induction of autophagy as determined by the formation of autophagosomes and autolysosomes. This was accomplished through treatment with mitochondrial toxins that inhibit the electron transport chain in transformed and cancer cells. In addition, we have determined that H2O2 and 2-methoxyestradiol (inhibitor of superoxide dismutases and electron transport chain) induce autophagy leading to cell death. In contrast, normal astrocytes fail to induce autophagy following treatment with mitochondrial toxins. Herein, we discuss several important points of our studies and provide a model for mitochondrially-induced autophagic cell death mediated by ROS.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".