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Record W1964164417 · doi:10.1111/imm.12189

Intravenous immunoglobulin modulates the expansion and cytotoxicity of CD8<sup>+</sup> T cells

2013· article· en· W1964164417 on OpenAlexafffund
Patrick Trépanier, Dominique Chabot, Renée Bazin

Bibliographic record

VenueImmunology · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversité LavalHéma-Québec
FundersUniversité Laval
KeywordsCytotoxic T cellPerforinCD8ImmunologyAntibodyBiologyInterleukin 21T cellAntigenIn vitroImmune systemBiochemistry

Abstract

fetched live from OpenAlex

Intravenous immunoglobulin (IVIg) is successfully used in the treatment of autoimmune diseases involving self-reactive CD8(+) T cells. However, its direct influence on the cytotoxic response remains unknown. Using an antigen cross-presentation assay and a mouse model of ovalbumin (OVA) immunization, we showed that IVIg decreases the in vitro activation, proliferation and cytokine secretion of OVA-specific CD8(+) T cells (OT-I), as well as the in vivo generation of OVA-specific CD8(+) T cells. In addition, IVIg significantly decreases the proportion of perforin- and CD107a-expressing CD8(+) T cells, and inhibits the cytotoxic activity of OVA-activated OT-I cells. The interference of IVIg with the CD8(+) T-cell response is associated with T-cell receptor blockade, therefore reducing the interaction between effector and target cells. A similar blockade is observed on human CD8(+) T cells, suggesting that the observations reported here could apply to the IVIg-mediated improvement of CD8(+) T-cell-mediated autoimmune conditions in human patients.

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), 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 score0.016
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
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.007
GPT teacher head0.198
Teacher spread0.190 · 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; both teacher heads agree on what is shown here.

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

Citations17
Published2013
Admission routes2
Has abstractyes

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