Memory recovery through gene therapy with a single chain antibody fragment selective for Aβ oligomers in a model of Alzheimer’s disease in rats
Bibliographic record
Abstract
Strong evidence supports the hypothesis that synapse damage and memory impairment in early Alzheimer disease (AD) might be due to synaptic failure caused by amyloid beta oligomers (AβOs). We demonstrated the preclinical efficacy of a single-chain variable-fragment (scFv) antibody NUsc1 that selectively targets a subpopulation of AβOs; NUsc1 prevented AβO-induced inhibition of long-term potentiation in hippocampal slices and short-term memory impairment in mice. Since specific targeting of AβOs by NUsc1 may be a substantial improvement in target engagement and efficacy for AD therapy, we developed an adeno-associated virus (AAV) vector to drive neuronal expression of NUsc1 within the brain. AAV-NUsc1 rescued short-term memory (STM) for objects and congeners interaction in mice AD models. Purpose: In heterozygous McGill-R-Thy1-APP transgenic (Tg+/–) rat model of AD, progressive amyloid pathology is accompanied by cognitive impairment involving long-term memory (LTM) decline. LTM in a novel-object-recognition (NOR) task was impaired in 4-month-old (Tg+/–) male rats, suggesting that they are unable to form/evoke such discriminative memories. Hence, we investigated if AAV-NUsc1 treatment could rescued this memory. Methods: 10-12 weeks-old either Tg or wild type male rats were i.c.v. infused with AAV-NUsc1. Two months later, short-term exploratory behavior, habituation to an open field (OF), object discrimination and LTM for objects were assessed. Results: AAV-NUsc1 treated Tg rats were able to successfully perform the task 24 h after training, denoting recovery of LT discrimination capacity and LTM formation. Wild type rats successfully performed the task either treated or not with AAV-NUsc1. Also, exploration and short-term habituation to an open field was preserved in Tg+/– rats either treated or not. Conclusions: Our present and previous results suggest that AAV-NUsc1 represents a significant advance in gene therapy, supporting the feasibility of immunotherapy using viral vector-mediated NUsc1 gene delivery as a potential therapeutic approach in 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".