Co‐incorporation of Aβ40 and Aβ42 to form mixed pre‐fibrillar aggregates
Bibliographic record
Abstract
Senile plaques, the invariable hallmark and likely proximal cause of Alzheimer's disease (AD), are structured depositions of the 40- and 42-residue forms of the A beta peptide. Conversely, diffuse plaques, which are not associated with neurodegeneration, consist mainly of unstructured A beta 42. We have investigated the interaction between A beta 40 and A beta 42 through an assay, which involves labeling both variants with an environment-sensitive fluorophore. We have monitored association of A beta without fibrillar seeds, which allows investigation of molecular species preceding fibrils. Immediately upon mixture, A beta 40 and A beta 42 associate into mixed aggregates, in which the peptides are unstructured and relatively accessible to water. When left to incubate for an extended period, larger, more tightly packed aggregates, which show secondary structure, replace the small, unstructured aggregates formed earlier. Our results show that in vitro the two A beta variants coassemble early in the fibrillogenesis pathway. The ease of formation for mixed and homogeneous aggregates is similar. A change in the local A beta variant ratio can therefore have a significant impact on A beta aggregation; indeed such a change has been reported in some types of familial 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".