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Ghrelin Immunexpression in Pituitary Adenomas

2011· article· en· W3173516508 on OpenAlexaff
Fabio Rotondo, Michael D. Cusimano, Bernd W. Scheithauer, Angelo Rotondo, Luis V. Syro, Eleanor Latta, Kálmán Kovács

Bibliographic record

VenueThe FASEB Journal · 2011
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsGhrelinEndocrinologyInternal medicineSomatostatinAdenomaOrexigenicNull cellPituitary adenomaProlactinBiologyMedicineHormoneCell cultureNeuropeptideReceptor

Abstract

fetched live from OpenAlex

Ghrelin, an orexigenic hormone occurs mainly in stomach, and in several tumor types. We investigated ghrelin immunopositivity using the streptavidin‐biotin‐peroxidase complex method in the full spectrum of pituitary adenoma subtypes. Quantification was undertaken by analyzing both the percentage of tumor cells stained for ghrelin and the staining intensity. Cytoplasmic ghrelin immunopositivity was identified in several adenoma subtypes. Not every cell was immunopositive; the intensity of staining differed among cells within the given lesion and among the various tumors. The highest scores were noted in GH adenomas exposed to somatostatin analogues. In decreasing order, lower scores were encountered in ACTH‐producing, silent subtype 1 and 2 adenomas in Cushing disease, silent subtype 3 adenomas, untreated GH adenomas, dopamine agonist‐treated PRL adenomas, gonadotroph adenomas, and ACTH adenomas in Nelson syndrome. No immunoreactivity was found in TSH, untreated PRL‐producing, and null cell adenomas. The high immunoexpression of ghrelin in GH adenomas exposed to somatostatin analogues, may be due to increased ghrelin synthesis or to suppression of its release.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.254
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

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