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Record W2146847430 · doi:10.4049/jimmunol.0902984

Plasmacytoid Dendritic Cells Enhance Mortality during Lethal Influenza Infections by Eliminating Virus-Specific CD8 T Cells

2010· article· en· W2146847430 on OpenAlexfundno aff
Ryan A. Langlois, Kevin L. Legge

Bibliographic record

VenueThe Journal of Immunology · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesMcGill University
KeywordsVirologyVirusCytotoxic T cellCD8BiologyImmunologyMicrobiologyImmune systemIn vitroGenetics

Abstract

fetched live from OpenAlex

Previous studies have shown that the reduction in CD8 T cell immunity observed during high-dose influenza A virus (IAV) infection is mediated via lymph node (LN) dendritic cells (DCs) that express Fas ligand (FasL) and drive FasL-Fas (DC-T)-induced apoptosis. However, the specific DC subset(s) within the LN and the additional factors required for DC-mediated elimination of IAV-specific CD8 T cells remain unknown. In this paper, we demonstrate that plasmacytoid DCs (pDCs), which downregulate FasL during sublethal, but not lethal, IAV infection, accumulate to greater numbers within the LNs of lethal dose-infected mice. Further our findings show that pDCs from lethal, but not sublethal, dose IAV infections drive elimination of Fas(+) CD8 T cells and that this elimination occurs only in the absence of TCR recognition of IAV peptide-MHC class I complexes. Together, these results suggest that pDCs play a heretofore unknown deleterious role during lethal dose IAV infections by limiting the CD8 T cell 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 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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
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 score0.048
Threshold uncertainty score1.000

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 integrity0.0000.003
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 head0.011
GPT teacher head0.260
Teacher spread0.249 · 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.

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

Citations62
Published2010
Admission routes1
Has abstractyes

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