Deletion of the vesicular acetylcholine transporter from pedunculopontine/laterodorsal tegmental neurons modifies gait
Bibliographic record
Abstract
Abstract Postural instability and gait disturbances, common disabilities in the elderly and frequently present in Parkinson's disease (PD), have been suggested to be related to dysfunctional cholinergic signaling in the brainstem. We investigated how long‐term loss of cholinergic signaling from mesopontine nuclei influence motor behaviors. We selectively eliminated the vesicular acetylcholine transporter (VAChT) in pedunculopontine and laterodorsal tegmental nuclei cholinergic neurons to generate mice with selective mesopontine cholinergic deficiency (VAChTEn1‐Cre‐flox/flox). VAChTEn1‐Cre‐flox/flox mice did not show any gross health or neuromuscular abnormality on metabolic cages, wire‐hang and grip‐force tests. Young VAChTEn1‐Cre‐flox/flox mice (2–5 months‐old) presented motor learning/coordination deficits on the rotarod; moved slower, and had smaller steps on the catwalk, but showed no difference in locomotor activity on the open field. Old VAChTEn1‐Creflox/flox mice (13–16 months‐old) showed more pronounced motor learning/balance deficits on the rotarod, and more pronounced balance deficits on the catwalk. Furthermore, old mutants moved faster than controls, but with similar step length. Additionally, old VAChT‐deficient mice were hyperactive. These results suggest that dysfunction of cholinergic neurons from mesopontine nuclei, which is commonly seen in PD, has causal roles in motor functions. Prevention of mesopontine cholinergic failure may help to prevent/improve postural instability and falls in PD patients. image Read the Editorial Highlight for this article on page 688 .
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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 | 0.000 | 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) | 0.001 | 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".