Quantitative Analysis of the Influence of Trehalose on Amyloid-β Binding to Membranes by Localized Surface Plasmon Resonance Spectroscopy
Bibliographic record
Abstract
The damaging effect of amyloid-β (Aβ) on cellular membranes is an essential factor that contributes to Aβ's neurotoxicity in Alzheimer's disease. In this work, we explore the role of trehalose sugar in protecting model lipid membranes composed of DPPC-POPC-Cholesterol against Aβ toxicity. We used localized surface plasmon resonance (LSPR) spectroscopy and conducted a quantitative analysis to study the influence of trehalose on Aβ-membrane interactions. The LSPR data indicate that trehalose can effectively reduce the level of binding of Aβ to the lipid membrane, indicating its protective role against amyloid toxicity. Additionally, atomic force microscopy (AFM) was used to visualize the lipid membranes supported on the LSPR sensors and to elucidate the effect of trehalose on membrane morphology. The ability of trehalose to alter the physical properties of model membranes is discussed in relation to its protective role against Aβ during dehydration.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".