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Record W2142435214 · doi:10.1189/jlb.0410191

The invariant NKT cell subset in anti-viral defenses: a dark horse in anti-influenza immunity?

2010· review· en· W2142435214 on OpenAlexaff
Raveendra R. Kulkarni, S. M. Mansour Haeryfar, Shayan Sharif

Bibliographic record

VenueJournal of Leukocyte Biology · 2010
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsWestern UniversityUniversity of Guelph
Fundersnot available
KeywordsBiologyImmunityVirologyHorseImmunologyInnate immune systemViral infectionImmune systemVirus

Abstract

fetched live from OpenAlex

iNKT cells, a small subset of αβ TCR+ T cells, are capable of producing large amounts of cytokines upon activation through their TCR. Unlike conventional T cells that express highly diverse TCRs, iNKT cells express a glycolipid-reactive invariant TCR-α chain paired with a limited number of β chain(s). These cells recognize glycolipid antigens when presented on CD1d molecules found on APC or other cells. Although the immunoregulatory roles of iNKT cells in the context of autoimmune disease are fairly well characterized, several lines of evidence highlight the importance of this cell type in immune responses against microbial insults caused by bacterial, viral, and parasitic pathogens. Recent studies that have investigated the role of iNKT cells in immune responses against influenza virus have suggested an important role for these cells in innate defense mechanisms as well as antibody- and cell-mediated responses. This review highlights the important contributions of iNKT cells to immune responses against viral pathogens with particular emphasis on immunity to influenza infections.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.003

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 head0.031
GPT teacher head0.309
Teacher spread0.278 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations23
Published2010
Admission routes1
Has abstractyes

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