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TRANSPLANTED MHC CLASS I-DEFICIENT NONOBESE DIABETIC MOUSE ISLETS ARE PROTECTED FROM AUTOIMMUNE INJURY IN DIABETIC NONOBESE RECIPIENTS1

2001· article· en· W1982180866 on OpenAlexaff
Sean Prange, Peter Zucker, Anthony M. Jevnikar, Bhagirath Singh

Bibliographic record

VenueTransplantation · 2001
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsNOD miceNodIsletMHC class IImmunologyMajor histocompatibility complexMedicineMHC class IITransplantationBiologyDiabetes mellitusEndocrinologyInternal medicineAntigen

Abstract

fetched live from OpenAlex

The injury of transplanted islets may occur by both autoimmune and alloimmune processes directed against MHC targets. To examine the role of MHC class I in islet graft injury, we transplanted syngeneic and allogeneic beta2-microglobulin-deficient islets into diabetic nonobese diabetic (NOD) mice. Loss of graft function was observed within 14 days using allogeneic C57BL/6 and BALB/c MHC class I deficient as well as wild-type MHC class I-bearing NOD donor islets. However, islets isolated from MHC class I-deficient NOD mice (NOD-B2 m-/-) survived indefinitely when transplanted under the kidney capsule of diabetic NOD recipients. Transplanted NOD-B2 m-/- islets were surrounded by a nondestructive periinsular infiltrate that expressed interleukin-4 in addition to interferon-gamma. These studies demonstrate the primary role of MHC class I molecules in causing autoimmune destruction or recurrent diabetes in transplanted islets.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.243
Teacher spread0.229 · 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.

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

Citations23
Published2001
Admission routes1
Has abstractyes

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