Caspases and neurodegeneration: on the cutting edge of new therapeutic approaches
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Unregulated apoptosis underlies many pathological conditions, including neurodegenerative diseases. In this review, we focus on the role of cysteine aspartate-specific proteases (caspase) activity in Huntington disease (HD) and Alzheimer disease (AD) as two representative neurodegenerative disorders that normally manifest in mid- to late-life. Caspases appear to be involved in the molecular pathology of HD by directly cleaving huntingtin and generating toxic protein fragments containing the polyglutamine tract, and by being recruited and activated by polyglutamine-containing aggregates composed mainly of truncated huntingtin fragments. Several proteins involved in AD, including beta-amyloid precursor protein (APP) and presenilins (PSs), are also cleaved by caspases. For APP, caspase cleavage may contribute to toxicity by generating toxic fragments or by shifting APP processing toward an amyloidogenic pathway. For PSs, caspase cleavage disables antiapoptotic functions attributed to PS C-terminal fragments. These observations suggest that caspases actively contribute to the molecular pathogenesis of these diseases and support the development of caspase inhibitors as potential therapeutic approaches for chronic neurodegenerative disorders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it