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Record W2010308849 · doi:10.1159/000126203

Colocalization of Somatostatin Receptors and Growth Hormone-Releasing Factor Immunoreactivity in Neurons of the Rat Arcuate Nucleus

2008· article· en· W2010308849 on OpenAlexaff
Gerald F. McCarthy, Alain Beaudet, Gloria Shaffer Tannenbaum

Bibliographic record

VenueNeuroendocrinology · 2008
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsMcGill UniversityMontreal Children's HospitalMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsColocalizationInternal medicineArcuate nucleusEndocrinologySomatostatinHypothalamusBiologyArc (geometry)ReceptorNucleusNeuropeptideImmunohistochemistryImmunocytochemistryMedian eminenceChemistryMolecular biologyCell biologyMedicine

Abstract

fetched live from OpenAlex

Recent studies from our group have demonstrated an association of [125I]-labeled somatostatin (SRIF)-binding sites with a subpopulation of arcuate (ARC) neurons. The distribution of these cells was similar to that of growth hormone-releasing factor (GRF)-immunoreactive neurons, which led us to propose that at least some SRIF receptors may be directly localized to GRF-containing cells. To test this hypothesis, we have visualized radiolabeled SRIF-binding sites and GRF immunoreactivity (ir) in adjacent sections of the hypothalamus, by combined radioautography and immunohistochemistry. Adult male rats were sacrificed by decapitation and the brains were rapidly frozen and serially sectioned on a cryostat. Fifteen pairs of adjacent 6-µm-thick sections, taken at 100-µm intervals through the rostrocaudal extent of the ARC nucleus, were alternately processed for [125I]-SRIF radioautography and GRF immunohistochemistry. GRF-ir and [125I]-SRIF-labeled cells were mapped at each level and quantified with the aid of a camera lucida. The maps were subsequently superimposed to determine the extent of [125I]-SRIF/ GRF-ir colocalization. GRF-ir perikarya [13.2 ± 4.4 (mean ± SE) cells per section] were mainly localized in the ventrolateral portion of the ARC nucleus and predominated within the caudal-most tier. [125I]-SRIF-labeled cells (35.6 ± 6.5 cells per section) were more numerous, more evenly distributed, and extended further rostrally and caudally than GRF-ir cells. Superimposition of the camera lucida maps indicated that, overall, 33.5 ± 10.8% of the GRF-ir cells were labeled with [I25I]-SRIF in adjacent sections. Colabeled cells concentrated, rostrocaudally, in the ventrolateral portion of the ARC nucleus; more dorsally placed cells and those of the lateral hypothalamic area were rarely colabeled. Moreover, GRF-ir cells located in extra-ARC regions did not show [125I]-SRIF binding. These results demonstrate that a subpopulation of GRF-ir nerve cell bodies detected within the ARC nucleus possesses SRIF-binding sites. The finding of SRIF receptors on GRF-containing ARC neurons provides strong anatomic evidence to support the physiological concept of a central SRIF-mediated influence on pathways associated with GRF. Such intrahypothalamic interactions between these two neuropeptides may be a vital component in the generation of the ultradian rhythm of GH secretion.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.236
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations77
Published2008
Admission routes1
Has abstractyes

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