Extracellular vesicles enriched with amylin receptor are cytoprotective against the Aß toxicity in vitro
Bibliographic record
Abstract
Extracellular vesicles (EVs) are double membrane structures released by all cell types with identified roles in the generation, transportation, and degradation of amyloid-β protein (Aβ) oligomers in Alzheimer's disease (AD). EVs are thus increasingly recognized to play a neuroprotective role in AD, through their ability to counteract the neurotoxic effects of Aβ, possibly through interactions with specific receptors on cell membranes. Our previous studies have identified the amylin receptor (AMY), particularly AMY3 subtype, as a mediator of the deleterious actions of Aβ in vitro and in vivo experimental paradigms. In the present study, we demonstrate that AMY3 enriched EVs can bind soluble oligomers of Aß and protect N2a cells against toxic effects of this peptide. The effect was specific to amylin receptor as it was blocked in the presence of amylin receptor antagonist AC253. This notion was supported by reduced Aβ binding to EVs from AMY depleted mice compared to those from wild type (Wt) mice. Finally, application of AMY3, but not Wt derived, EVs to hippocampal brain slices improved Aβ-induced reduction of long-term potentiation, a cellular surrogate of memory. Collectively, our observations support the role of AMY receptors, particularly AMY3, in EVs as a potential therapeutic target for 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) | 0.000 | 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 | 0.001 |
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".