Ca2+ dysfunction in neurodegenerative disorders: Alzheimer's disease
Bibliographic record
Abstract
More than one century ago "a peculiar disorder of the cerebral cortex" was noticed in a middle-aged patient who had been affected by dementia in the last years of his life. The postmortem hallmarks of his brain were protein plaques, neurofibrillary tangles, and atherosclerotic changes: the neuropathologist who found these alterations and gave his name to the disease that underlied them was Alois Alzheimer (Alzheimer et al., Clin Anat 1995;8:429-431). Following its discovery, the disease has been studied with a vigor that went parallel to the increase of its social importance. The amount of information amassed in the literature is impressive, but knowledge on the mechanism underlying its onset and its progression is still very limited. Numerous hypotheses on the molecular pathogenesis of the Alzheimer's disease (AD) have been proposed and two have gradually gained wide consensus: (i) the amyloid cascade hypothesis, first proposed on the basis of the toxicity evoked by the deposition of amyloid β (Aβ) aggregates; (ii) the Ca(2+) hypothesis, which focuses on the correlation between the dysfunction of Ca(2+) homeostasis and the neurodegeneration process. This succinct review will discuss the essential aspects of the role of Ca(2+) homeostasis dysregulation in the onset and development of AD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".