Transmembrane Parkinson’s disease mutation of PINK1 leads to altered mitochondrial anchoring
Bibliographic record
Abstract
Parkinson's disease is a devastating neurodegenerative disease resulting from the death of dopaminergic neurons in the substantia nigra pars compacta of the midbrain. Familial and sporadic forms of the disease have been linked to mitochondrial dysfunction. Pathology has been identified with mutations in the PARK6 gene encoding PTEN-induced kinase 1 (PINK1), a quality control protein in the mitochondria. Disease-associated mutations at the transmembrane (TM) region of PINK1 protein were predicted to disrupt the cleavage of the TM region by the PARL (presenilin-associated rhomboid-like) protease at the inner mitochondrial membrane. Here, using microscopy, kinetic analysis, and molecular dynamics simulations, we analyzed three Parkinson's disease-associated TM mutations; PINK1-C92F, PINK1-R98W, and PINK1-I111S, and found that mitochondrial localization and cleavage by the PARL protease were not significantly impaired. However, clearance of hydrolyzed PINK1-R98W appears to be compromised because of altered positioning of the protein in the outer mitochondrial membrane, preventing association with translocase of the outer membrane complexes and slowing cleavage by PARL. This single amino acid change slows degradation of proteolyzed PINK1, increasing its accumulation at the outer mitochondrial membrane and resulting in increased mitophagy and decreased mitochondrial content among these cells.
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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".