Evidence that Chronic Apomorphine Treatment Enhances 5-Hydroxytryptamine Metabolism in Brains of Normal and Neonatally Hyperthyroid Rats
Bibliographic record
Abstract
Daily injection of L-triiodothyronine (10 microgram/100 g, s.c.) for 30 days to neonatal rats significantly enhanced the metabolism of 5-hydroxytryptamine as reflected by increased tryptophan hydroxylase activity and 5-hydroxyindoleacetic acid levels of certain discrete brain regions. However, neonatal L-triiodothyronine treatment produced no change in 3H-5-hydroxytryptamine uptake by crude synaptosomes. Chronic treatment with apomorphine (1 mg/kg/day, s.c.) for 15 days, beginning from 15 days of age, increased tryptophan hydroxylase activity as well as 5-hydroxytryptamine and 5-hydroxyindoleacetic acid levels and blocked the uptake of 3H-labelled serotonin in crude synaptosomes of normal and L-triiodothyronine-treated animals. Furthermore, apomorphine (which is known to indirectly stimulate 5-hydroxytryptaminergic neurons) produced a greater increase in tryptophan hydroxylase and 5-hydroxyindoleacetic acid in the mid-brain region of neonatally hyperthyroid animals as compared to normal rats. These data indicate that excess thyroid hormone in early life not only increases the turnover of brain 5-hydroxytruptamine, but also enhances the sensitivity of dopamine receptor sites. thus amplifying the stimulating action of apomorphine. Our findings also suggest that thyroid hormone in early life advances the overall development of monoaminergic systems in the brain.
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) | 0.001 | 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".