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CD8<sup>+</sup>γδ T regulatory cells mediate kidney allograft prolongation after oral exposure to alloantigen

2008· article· en· W1976624480 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTransplant International · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineSplenocyteImmunologyCD8Immune systemAntigenAdoptive cell transferTransplantationKidneyPopulationKidney transplantationDownregulation and upregulationCytotoxic T cellT cellBiologyInternal medicineIn vitro

Abstract

fetched live from OpenAlex

The long term goal of immunological therapy for transplantation is to induce antigen specific unresponsiveness. One approach of significant current interest is the induction of T regulatory (Treg) cells that downregulate immune responses in an antigen specific manner. In this study, we examined the nature of the immunological regulation initiated by oral exposure to alloantigen. We previously demonstrated that feeding of allogeneic donor splenocytes significantly prolongs kidney allograft survival in rats. Purified CD8+ graft infiltrating cells (GIC), but not CD4+ GIC transfer graft prolongation to naïve animals demonstrating the presence of a CD8+ Treg population in the graft. In this study, we provide evidence that is consistent with a hypothesis that the CD8+ Treg generated by oral exposure to alloantigen is an IL-10 secreting, gammadelta TCR+ T cell.

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.240
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.010
GPT teacher head0.207
Teacher spread0.197 · 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