Parkinson’s genes orchestrate pyroptosis through selective trafficking of mtDNA to leaky lysosomes
Bibliographic record
Abstract
ABSTRACT Inflammation is an age-related factor that underlies numerous human disorders. A key driver of inflammation is the release of mitochondrial DNA (mtDNA), which binds and activates cytosolic sensors. This induces transcriptional responses and, ultimately, pyroptotic cell death. The main challenge has been to understand how mtDNA can cross the two mitochondrial membranes to access the cytosol. Through a genome-wide CRISPR knockout screen we identified a new pyroptotic pathway defined by mtDNA exit within mitochondrial-derived vesicles that are delivered to lysosomes. Critically, breach of lysosomes allows mtDNA to access cytosol, requiring multiple Parkinson’s Disease-related proteins and Gasdermin pores, identified in the screen. These data place mitochondria-to-lysosome transport as a driver of pyroptosis and link multiple PD proteins along a common pathway. One sentence summary Parkinson’s disease-related proteins regulate pyroptosis
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".