ROS-induced mitochondrial depolarization initiates PARK2/PARKIN-dependent mitochondrial degradation by autophagy
Bibliographic record
Abstract
Reactive oxygen species (ROS) have been implicated as a signal for general autophagy. Both mitochondrial-produced and exogenous ROS induce autophagosome formation. However, it is unclear whether ROS are required for the selective autophagic degradation of mitochondria, a process called mitophagy. Recent work using carbonyl cyanide m-chlorophenylhydrazone (CCCP), a mitochondrial-uncoupling reagent, has been shown to induce mitophagy. However, CCCP treatment may not be biologically relevant since it causes the depolarization of the entire mitochondrial network. Since mitochondria are the main ROS production sites in mammalian cells, we propose that short bursts of ROS produced within mitochondria may be involved in the signaling for mitophagy. To test this hypothesis, we induced an acute burst of ROS within mitochondria using a mitochondrial-targeted photosensitizer, mitochondrial KillerRed (mtKR). Using mtKR, we increased ROS levels in the mitochondrial matrix, which resulted in the loss of membrane potential and the subsequent activation of PARK2-dependent mitophagy. Importantly, we showed that overexpression of the mitochondrial antioxidant protein, superoxide dismutase-2, can squelch mtKR-induced mitophagy, demonstrating that mitochondrial ROS are responsible for mitophagy activation. Using this assay, we examined the impact of mitochondrial morphology on mitophagy. It was shown recently that elongated mitochondria are more resistant to mitophagy through unknown mechanisms. Here, we show that elongated mitochondria are more resistant to ROS-induced damage and mitophagy compared with fragmented mitochondria, suggesting that mitochondrial morphology has an important role in regulating ROS and mitophagy. Together, our results suggest that ROS-induced mitochondrial damage may be an important upstream activator of mitophagy.
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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 | 0.001 |
| 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".