Differential distribution of butyrylcholinesterase and acetylcholinesterase in the human thalamus
Bibliographic record
Abstract
It has been hypothesized that acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) are coregulators of the duration of action of acetylcholine in cholinergic neurotransmission, suggesting that BuChE may also have an important role in the brain. To compare the expression of cholinesterases in the human thalamus, the distributions of BuChE and AChE activity were studied by using a modified Karnovsky-Roots method. BuChE activity was present mainly in neurons, whereas AChE activity was present in both neurons and axons. There was intense staining for BuChE or AChE throughout the thalamus, with some nuclei primarily expressing one or the other cholinesterase. BuChE staining was most intense and widespread in neurons in the anteroventral, mediodorsal, ventral, lateral, and pulvinar thalamic nuclei. AChE was predominantly expressed in neurons of the anterodorsal, midline, ventral, intralaminar, and reticular nuclei. Many nuclei contained both cholinesterases. Considering the overall patterns of labeling in the thalamus for the two cholinesterases, there were both complementary and overlapping relationships of BuChE and AChE activity. Neuronal staining in the subthalamic nucleus and hypothalamus was predominantly positive for AChE activity. The distinct distribution of BuChE activity in neurons in the human thalamus is consistent with an important role for this enzyme in neurotransmission in the human nervous system. Furthermore, BuChE activity, like AChE activity, is found in certain thalamic nuclei related to cognitive and behavioral functions. Involvement of thalamic nuclei in diseases of the nervous system such as Alzheimer's disease and schizophrenia suggests that BuChE could be a potential target for therapeutic intervention in these disorders.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".