Facilitating Effect of Insulin on Brain 5-Hydroxytryptamine Metabolism
Bibliographic record
Abstract
In this study we investigated the effect of insulin on striatal 5-hydroxytryptamine and tryptamine in streptozotocin-diabetic and in normal rats. Streptozotocin-diabetic rats show a reduction in rat striatal tryptophan, 5-hydroxytryptamine, and 5-hydroxyindole acetic acid, an effect observed at 7 or 14 days after the treatment began. In addition, the accumulation of striatal tryptamine in pargyline-treated rats was reduced at 14 days. Insulin administration produced an increase in rat striatal tryptophan concentration that was observed within 2 h following its administration. By 6 h, however, the striatal tryptophan concentrations were significantly reduced. No changes in rat striatal 5-hydroxytryptamine were observed following the insulin administration, but the treatment induced significant increases in 5-hydroxyindole acetic acid that were observed at 2, 3, 4, and 6 h after insulin administration. The administration of insulin to diabetic rats had a tendency to reverse the decreases in 5-hydroxytryptamine metabolism observed in these animals. Treatment with tryptophan (12-25 mg kg-1) markedly increased rat striatal tryptophan, but did not affect 5-hydroxytryptamine metabolism, an effect that was only observed after the administration of higher doses (50-100 mg kg-1). This is in contrast to the effect of insulin that produces a lesser increase in striatal tryptophan accompanied by an increase in 5-hydroxytryptamine metabolism, indicating that in addition to the increase in tryptophan availability that it produces, it also possesses some other facilitatory effect on 5-hydroxytryptamine metabolism.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".