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Adenohypophysitis in rat pituitary allografts.

2008· article· en· W2270654176 on OpenAlexaff
Fabio Rotondo, Andrés Quintanar‐Stephano, Matilde Lombardero, L. Sylvia, Kálmán Kovács

Bibliographic record

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsUniversity Health NetworkSt. Michael's Hospital
Fundersnot available
KeywordsMononuclear cell infiltrationInfiltration (HVAC)TransplantationRenal capsuleNecrosisMedicinePeripheral blood mononuclear cellPathologyCapsulePituitary glandConnective tissueInternal medicineEndocrinologyBiologyHormone

Abstract

fetched live from OpenAlex

The histologic changes in pituitary allografts transplanted under the kidney capsule from Wistar to Lewis rats were investigated. Normal pituitaries, pituitary autografts and intrasellar pituitaries of rats bearing allografts were also examined. Rats were sacrificed at various times after transplantation. Sections stained with H & E were investigated by light microscopy. Two days after transplantation, the central part of the allografts showed ischemic necrosis. A week later, massive mononuclear cell infiltration composed mainly of lymphocytes was seen. Several weeks after transplantation, the mononuclear cell infiltration decreased, the surviving adenohypophysial cells increased in number and the necrotic area was replaced by connective tissue. In the autografts the central ischemic necrosis was similar to that of the allografts. The mononuclear cell infiltration was, however, mild and the adenohypophysial cells seemed to increase in number earlier than those of the allografts. No histologic changes were noted in control adenohypophyses and in intrasellar pituitaries of rats bearing allografts. It appears that pituitary allografts are “foreign” and evoke an autoimmune response. Pituitary allografts represent useful experimental models to investigate the development and morphology of adenohypophysitis, a rare disease occurring mainly in young women often associated with pregnancy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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