Cells with Impaired Mitochondrial H <sub>2</sub> O <sub>2</sub> Sensing Generate Less <sup>•</sup> OH Radicals and Live Longer
Bibliographic record
Abstract
AIM: Mitochondria are major sites of reactive oxygen species (ROS) generation, and adaptive mitochondrial ROS signaling extends longevity. We aim at linking the genetic manipulation of mitochondrial H2O2 sensing in live cells to mechanisms driving aging in the model organism, Saccharomyces cerevisiae. To this end, we compare in vivo ROS (O2(•-), H2O2 and (•)OH) accumulation, antioxidant enzyme activities, labile iron levels, GSH depletion, and protein oxidative damage during the chronological aging of three yeast strains: ccp1Δ that does not produce the mitochondrial H2O2 sensor protein, cytochrome c peroxidase (Ccp1); ccp1(W191F) that produces a hyperactive variant of this sensor protein (Ccp1(W191F)); and the isogenic wild-type strain. RESULTS: Since they possess elevated manganese superoxide dismutase (Sod2) activity, young ccp1Δ cells accumulate low mitochondrial superoxide (O2(•-)) levels but high H2O2 levels. These cells exhibit stable aconitase activity and contain low amounts of labile iron and hydroxyl radicals ((•)OH). Furthermore, they undergo late glutathione (GSH) depletion, less mitochondrial protein oxidative damage and live longer than wild-type cells. In contrast, young ccp1(W191F) cells accumulate little H2O2, possess depressed Sod2 activity, enabling their O2(•-) level to spike and deactivate aconitase, which, ultimately, leads to greater mitochondrial oxidative damage, early GSH depletion, and a shorter lifespan than wild-type cells. INNOVATION: Modulation of mitochondrial H2O2 sensing offers a novel interventional approach to alter mitochondrial H2O2 levels in live cells and probe the pro- versus anti-aging effects of ROS. CONCLUSION: The strength of mitochondrial H2O2 sensing modulates adaptive mitochondrial ROS signaling and, hence, lifespan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".