Effects of Adrenalectomy and Glucocorticoids on Rat Brain Dopamine Receptors
Bibliographic record
Abstract
The effects of adrenalectomy (ADX) and dexamethasone (DEX) treatment on brain dopamine (DA) receptors of ovariectomized (OVX) rats were investigated by autoradiography using binding of the D1 and D2 antagonists ligands [3H]SCH 23390 and [3H]spiperone, respectively. Fourteen days after ADX, D1 receptors decreased in the middle striatum (M.CPu) and in the dorsal area of the posterior striatum (P.CPu). A more pronounced decrease was observed in the substantia nigra (SN) and no significant changes occurred in the anterior striatum (A.CPu), globus pallidus (GP) and accumbens (Acb). D2 receptors decreased in the M.CPu and dorsal area of the P.CPu and remained unchanged in the A.CPu as compared to OVX rats. Twenty-eight days after ADX, D1 and D2 receptors decreased in the A.CPu (D2), in the M.CPu (D2) and substantially in the SN (D1). DEX treatment (14 days, 0.5 mg/kg, b.i.d., IM, starting 14 days after ADX) reversed these effects in the A.CPu (D2), M.CPu (D2) and SN (D1) when compared to ADX+OVX rats. DEX also increased the density of D1 receptors in Acb, A.CPu and M.CPu when compared to OVX rats. Striatal homogenates of rats treated chronically with ACTH and corticosterone had an increased density of D1 receptors while these treatments alone left these receptors unchanged, thus suggesting either a minor role or no role of the changes in ACTH levels following glucocorticoids manipulations. Our results suggest that the adrenals play a role in the modulation of DA receptors activity in the rat 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".