Improvement of cholinergic function during normal and pathological aging
Bibliographic record
Abstract
Cholinergic neurons produce the neurotransmitter acetylcholine and are essential to critical brain functions, including motor function, learning and memory. The vesicular acetylcholine transporter (VAChT) is expressed by cholinergic neurons and packages acetylcholine into vesicles to prepare its release to the synaptic cleft. Here, we report that increasing levels of VAChT is associated with neurochemical alterations that may improve motor behaviour and cognitive decline during normal and pathological aging. Using RT‐PCR, immunohistochemistry, and western blot, we show that B6.Cg‐Tg(RP23–268L19‐EGFP)2Mik/J mice exhibit enhanced VAChT mRNA and protein expression. These changes were sufficient to enhance acetylcholine release at cholinergic terminals, and elicit changes in behavioural functions including spontaneous and novelty‐induced activity and measures of cognition. Mechanisms for these behavioural features will be explored. Taken together, this study contributes to our fundamental understanding of cholinergic regulation, specifically in response to increased VAChT expression, and may implicate VAChT as a target to maintain adequate cholinergic function during aging.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".