Expression of thyrotropin-releasing hormone receptor 2 (TRH-R2) in the central nervous system of rats
Bibliographic record
Abstract
The distribution of the recently discovered thyrotropin-releasing hormone (TRH) receptor subtype TRH-R2 was studied in rat brain, pituitary, and spinal cord by in situ hybridization histochemistry and compared with the distribution patterns of the other elements of TRH signaling, namely TRH, TRH-R1, and the TRH-degrading ectoenzyme (TRH-DE). In contrast to the very restricted mRNA expression of TRH-R1 in the central nervous system, TRH-R2 mRNA was widely distributed with highest transcript levels throughout the thalamus, in the cerebral and cerebellar cortex, medial habenulae, medial geniculate nucleus, pontine nuclei, and throughout the reticular formation. In accordance with the well-known endocrine function of TRH, TRH-R1 is found predominantly expressed in hypothalamic regions. Expression of TRH-R1 in various brainstem nuclei and spinal cord motoneurons seems to be associated with the described effects of TRH on the vegetative and autonomic system as well as on the somatomotor system. Furthermore, the fully complementary expression of both receptor subtypes, even in regions where transcripts for both receptors were found (e.g., medial septum, lateral hypothalamus superior colliculi, substantia nigra, etc.), indicates that in discrete neuroanatomical pathways the two receptors serve highly specific functions for the transmission of TRH signals. Together with TRH-DE, the putative terminator of TRH actions that shows in various, but not all, brain areas, an overlapping mRNA distribution pattern with both receptors, the distribution of TRH-R2 mRNA seems to provide the anatomical basis for the described effects of TRH on higher cognitive functions as well as its effect on arousal, locomotor activity, and pain perception.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".