MétaCan
Menu
← Back to cohort

Role of Donor MHC Class III Genes in the Destruction of Transplanted Islets in NOD Mice

2002· article· en· W2074171805 on OpenAlexaff
Anthony M. Jevnikar, Sean Prange, Peter Zucker, Bhagirath Singh

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2002
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsInstitute of Infection and ImmunityCanadian Institutes of Health ResearchWestern University
Fundersnot available
KeywordsMHC class IIsletNOD miceNodMajor histocompatibility complexMHC class IIBiologyImmunologyCD74TransplantationImmune systemCD1Cancer researchGeneCD8MedicineGeneticsEndocrinologyInternal medicineDiabetes mellitus

Abstract

fetched live from OpenAlex

MHC class III genes are important in immune regulation and inflammation, and the gene products of this region are well conserved between species. Their role in diabetes is, however, unknown. We used islets from NOD mice that lacked expression of both MHC class I and class II molecules to test the effect of class III differences on the injury of transplanted NOD islets. Loss of islet MHC class I was highly protective, while deletion of MHC class II had no benefit on islet survival. However the combined absence of both MHC class I and class II expression by NOD islets resulted in a delayed form of injury, when islets were transplanted to NOD mice. As neither MHC class I or II molecules were expressed by donor islet tissue, these results suggest a previously unrecognized and important contribution of MHC class III differences on islet injury following transplantation.

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)0.001
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
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.071
GPT teacher head0.302
Teacher spread0.231 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of the New York Academy of Sciences→Same topicPancreatic function and diabetes→French-language works237,207→