Antipsychotic drug binding in the substantia nigra: An examination of high metoclopramide binding in the brains of normal, Alzheimer's disease, Huntington's disease, and Multiple Sclerosis patients, and its relation to tardive dyskinesia
Bibliographic record
Abstract
This project was done in order to determine why the annual incidence of metoclopramide-associated tardive dyskinesia is much higher than that for the commonly used antipsychotics. To test the hypothesis that metoclopramide tardive dyskinesia may be associated with high concentrations of metoclopramide in the substantia nigra under clinical conditions, the nonspecific binding of tritiated antipsychotics to the dissected melaninized regions of postmortem human substantia nigra was measured. The nonspecific binding at 1 nM [³H]ligand was 7.3, 4.2, 2.6, 0.91 and 0.66 fmoles/mg for [³H]haloperidol, [³H]clozapine, [³H]raclopride, [³H]metoclopramide, and [³H]olanzapine, respectively. After adjusting these values for the known free concentrations of these drugs in plasma or spinal fluid, the amounts that would be bound under clinical conditions would be 231, 113, 15, 11, and 3.4 fmoles/mg for metoclopramide, clozapine, raclopride, haloperidol, and olanzapine, respectively. Using rat striatum as baseline to define antipsychotic binding to nonnigral tissue, the excess amount of binding to the Alzheimer nigral tissue under clinical conditions would be 209, 19, 0, 3.4 and 0.8 fmole/mg for metoclopramide, clozapine, raclopride, haloperidol, and olanzapine, respectively, with a similar pattern for nigral tissues from Huntington and Multiple Sclerosis patients. The high accumulation of metoclopramide is sufficiently high to cause nigral nerve cell membrane damage by metoclopramide's detergent-like action, possibly explaining metoclopramide's toxic ability to elicit early tardive dyskinesia. In addition, the nonspecific binding of metoclopramide was much higher in Alzheimer-diseased substantia nigra, consistent with the fact that older individuals are relatively more vulnerable to metoclopramide tardive dyskinesia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".