Cholesterol, a Modulator of Membrane-associated Aβ-fibrillogenesis
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
One of the major pathological features of Alzheimer's disease is the presence of extracellular amyloid plaques that are predominantly composed of the amyloid-beta peptide (Abeta). Characterisation of plaques demonstrated the predominance of two peptides differing at the carboxyl terminus by 2 hydrophobic amino acids, Abeta40 and Abeta42. Diffuse plaques associated with AD are composed predominantly of Abeta42, whereas senile plaques contain both Abeta40 and Abeta42. Recently, it has been suggested that diffuse plaque formation is initiated as a plasma membrane bound Abeta species and that Abeta42 is the critical component. In order to investigate this hypothesis, we have examined Abeta40/42-lipid interactions using in situ atomic force microscopy, electron microscopy and fluorescence anisotropy. While the association of Abeta42 with planar bilayers resulted in peptide aggregation but no fibre formation, this was not the case for Abeta40 where we observed preferential fibre formation. Cholesterol, a key membrane component and modulating factor in AD, is inversely correlated with the extent of Abeta40/42-bilayer interaction. These results were confirmed using fluorescence anisotropy to evaluate the effect of Abeta on membrane fluidity and fluorimetry to confirm membrane integrity. Our results suggest that the enhanced amyloidogenic properties of Abeta42 are not correlated with fibril formation but aggregation on bilayer surfaces.
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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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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