The loss of LRPPRC function induces the mitochondrial unfolded protein response
Bibliographic record
Abstract
The inactivation of the LRPPRC gene, which has previously been associated with the neurodegenerative French Canadian Leigh Syndrome, results in a decrease in the production of mitochondria-encoded subunits of complex IV, thereby causing a reduction in complex IV activity. Previously we have shown that reducing complex IV activity triggers a compensatory and conserved mitochondrial hyperfusion response. We now demonstrate that LRPPRC knock-down in mammalian cells leads to an imbalance between mitochondria-encoded and nuclear-encoded subunits of complex IV and that this imbalance triggers the mitochondrial unfolded protein response (UPR(mt)). The inactivation of the LRPPRC-like gene mma-1 in C. elegans also induces UPR(mt), which demonstrates that this response is conserved. Furthermore, we provide evidence that mitochondrial hyperfusion and UPR(mt) are coordinated but mediated by genetically distinct pathways. We propose that in the context of LRPPRC mma-1 knock-down, mitochondrial hyperfusion helps to transiently maintain mitochondrial ATP production while UPR(mt) participates in the restoration of mitochondrial proteostasis. Mitochondrial proteostasis is not only critical in pathophysiology but also during aging, as proteotoxic stress has been shown to increase with age. Therefore, we speculate that the coordination of these two mitochondrial stress responses plays a more global role in mitochondrial proteostasis.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".