The Roles of Kinases in Familial Parkinson's Disease
Bibliographic record
Abstract
The purpose of this mini-symposium is to discuss some of the inherited forms of Parkinson's disease (PD) in view of recent data suggesting that some of the proteins affect cellular signaling pathways. As an illustration, we shall focus on two different kinases associated with recessive and dominant forms of PD. Mutations in the mitochondrial kinase PTEN (phosphatase and tensin homolog)-induced kinase 1 (PINK1) are loss-of-function mutations in a normally neuroprotective protein. Loss-of-function mutations in model organisms have variable effects, from dramatic muscle and spermatid defects in Drosophila to more subtle neurophysiological abnormalities in mice. Several lines of evidence relate these to the action of a second gene for familial PD, parkin, an E3 ubiquitin ligase shown recently to have effects on Akt signaling. Mutations in leucine-rich repeat kinase 2 (LRRK2), a cytosolic kinase, are dominant and have the opposite effect of causing neuronal damage. The mechanism(s) involved are uncertain at this time because LRRK2 is a large and complex molecule with several domains. Increased kinase activity accounts for the action of at least some of the mutations, suggesting that hyperactive or misregulated kinase activity may lead to the damaging effects of LRRK2 in neurons. For both PINK1 and LRRK2, the following key question that needs to be answered: what are the physiological substrates that mediate effects in cells? Here, we will discuss some of the recent thinking about physiological and pathological roles for signaling in PD and how these may have therapeutic implications for the future.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".