Functional alteration of PARL contributes to mitochondrial dysregulation in Parkinson's disease
Bibliographic record
Abstract
Molecular genetics has linked mitochondrial dysfunction to the pathogenesis of Parkinson's disease by the discovery of rare, inherited mutations in gene products that associate with the mitochondria. Mutations in PTEN-induced kinase-1 (PINK1), which encodes a mitochondrial kinase, and PARKIN, encoding an E3 ubiquitin ligase, are the most frequent causes of recessive Parkinson's disease. Recent functional studies have revealed that PINK1 recruits PARKIN to mitochondria to initiate mitophagy, an important autophagic quality control mechanism that rids the cell of damaged mitochondria. PINK1 is post-translationally processed into a cleaved form whose levels are tightly regulated, although the significance of this processing is unknown. Here we demonstrate that the mitochondrial protease presenilin-associated rhomboid-like (PARL) can affect the proteolytic processing of PINK1 and that normal PINK1 localization and stability requires PARL's catalytic activity. PARL deficiency impairs PARKIN recruitment to mitochondria, suggesting PINK1's processing and localization are important in determining its interaction with PARKIN. We sequenced the PARL gene in Parkinson's disease patients and discovered a novel missense mutation in a functional domain of PARL's N-terminus. This PARL mutant is not sufficient to rescue PARKIN recruitment, suggesting that impaired mitophagy may be an underlying mechanism of disease pathogenesis in patients with PARL mutations.
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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 | 0.000 |
| 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".