Alzheimer's disease: inside, outside, upside down
Bibliographic record
Abstract
Neurotoxicity of beta-amyloid peptide (A beta) in Alzheimer's disease (AD) is usually thought to arise from the nonspecific effects of high concentrations of A beta on vulnerable neurons, resulting in membrane destabilization and increasing intracellular calcium concentration. This review advances the hypothesis that at early stages of AD, when A beta is present in lower amounts, its ability to perturb the function of cellular targets is mediated by specific cofactors present on the cell surface and intracellularly. Receptor for advanced glycation endproducts (RAGE) is a cell-surface receptor which binds A beta and amplifies its effects on cells in the nanomolar range. The intracellular enzyme A beta-binding alcohol dehydrogenase (ABAD) is likely to engage nascent A beta formed in the endoplasmic reticulum, and to mediate cell stress from this site. The analysis of A beta interaction with RAGE and ABAD, as well as other cofactors, provides insight into new mechanisms and, potentially, identifies therapeutic targets relevant to neuronal dysfunction in 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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".