MétaCan
Menu
Back to cohort
Record W2096916633 · doi:10.4049/jimmunol.165.8.4624

CD47 Ligation Selectively Inhibits the Development of Human Naive T Cells into Th1 Effectors

2000· article· en· W2096916633 on OpenAlexaff
Marie-Noëlle Avice, Manuel Rubio, Martin Sergerie, Guy Delespesse, Marika Sarfati

Bibliographic record

VenueThe Journal of Immunology · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsCD47Cell biologyBiologyPriming (agriculture)Peripheral blood mononuclear cellT cellCytokineMonoclonal antibodyImmune systemAntibodyMolecular biologyImmunologyIn vitroBiochemistry

Abstract

fetched live from OpenAlex

The CD47 Ag, also named integrin-associated protein, was recently reported to regulate the production of IL-12 by human monocytes and dendritic cells. The present study shows that CD47 ligation by CD47 mAb in primary cultures of cord blood mononuclear cells inhibits IL-12-driven Th1 cell development, as revealed by the cytokine secretion profile at restimulation and IFN-gamma production at the single-cell level. F(ab')(2) fragments of CD47 mAb or the synthetic peptide 4N1K, corresponding to the CD47 binding site of thrombospondin, display the same activity. CD47 engagement does not change the phenotype of IL-12-primed cells from Th1 to Th2 or affect IL-4-induced Th2 cell development. Moreover, CD47 mAb inhibits IL-12- but not IL-4-induced IL-2 production as well as IFN-gamma in primary cultures, which was correlated with a decrease of the IL-12Rbeta2 chain expression. Inclusion of exogenous IL-2 at priming corrects IL-12R expression as well as the inhibition of Th1 cell development. The data thus underline the role of IL-2 in Th1 cell development and further suggest that targeting IL-2 and IL-12 simultaneously may have some therapeutic advantage in Th1 autoimmune diseases.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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 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

Citations79
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of ImmunologySame topicT-cell and B-cell ImmunologyFrench-language works237,207