Caspase‐6 as a novel early target in the treatment of Alzheimer's disease
Bibliographic record
Abstract
A recent paradigm shift appears to be underway on what scientists believe to be the cause of Alzheimer's disease (AD). The amyloid hypothesis has dominated the field of basic research for the last 25 years, and although these massive efforts have culminated in efficient removal of amyloid from the brains of patients, the absence of beneficial effects for the patient have been greatly disappointing. This has created a shift in the focus on amyloid to a much greater focus on Tau protein, in the hope that preventing tangle formation may inhibit or delay the progression of AD. Although there are promising developments in this area of research, diversifying our efforts to identify novel early targets by understanding the upstream molecular mechanisms that lead to, or occur with, neurofibrillary tangle and plaque formation may provide more efficient therapies against AD. Among many areas in development, an emphasis on the role of caspase-6 (Casp6) activity in early neurodegenerative mechanisms brings hope of a novel target against AD. Casp6 activity is intimately associated with the pathologies that define AD, correlates well with lower cognitive performance in aged individuals, and is involved in axonal degeneration in several cellular and in vivo animal models. This is a review of the evidence showing the relevance of Casp6 activation as an early event that could be inhibited to prevent the progression of AD.
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.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".