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Record W2163007870 · doi:10.4049/jimmunol.168.11.5954

Characterization of CD4+ CTLs Ex Vivo

2002· article· en· W2163007870 on OpenAlexaff
Victor Appay, John Zaunders, Laura Papagno, Julian Sutton, Anele Waters, Philippa Easterbrook, Pat Grey, Don Smith, Andrew J. McMichael, David A. Cooper, Sarah Rowland‐Jones, Anthony D. Kelleher

Bibliographic record

VenueThe Journal of Immunology · 2002
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsCytotoxic T cellPerforinEx vivoBiologyImmune systemImmunologyCD8Interleukin 21In vivoIn vitroGenetics

Abstract

fetched live from OpenAlex

The cytotoxic potential of CD8(+) T cells and NK cells plays a crucial role in the immune response to pathogens. Although in vitro studies have reported that CD4(+) T cells are also able to mediate perforin-mediated killing, the in vivo existence and relevance of cytotoxic CD4(+) T cells have been the subject of debate. Here we show that a population of CD4(+) perforin(+) T cells is present in the circulation at low numbers in healthy donors and is markedly expanded in donors with chronic viral infections, in particular HIV infection, at all stages of the disease, including early primary infection. Ex vivo analysis shows that these cells have cytotoxic potential mediated through the release of perforin. In comparison with more classical CD4(+) T cells, this subset displays a distinct surface phenotype and functional profile most consistent with end-stage differentiated T cells and include Ag experienced CD4(+) T cells. The existence of CD4(+) cytotoxic T cells in vivo at relatively high levels in chronic viral infection suggests a role in the immune response.

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)0.000
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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.013
GPT teacher head0.209
Teacher spread0.196 · 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

Citations540
Published2002
Admission routes1
Has abstractyes

Explore more

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