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The polyfunctionality of memory CD8+ T cells in response to chronic and acute viral infections is not influenced by age (105.49)

2012· article· en· W1571257372 on OpenAlexaff
Alina Lelic, Mario Ventresca, Chris P. Verschoor, Robin Parsons, Carol Evelegh, Dawn M. E. Bowdish, Michael R. Betts, Mark Loeb, Jonathan L. Bramson

Bibliographic record

VenueThe Journal of Immunology · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsUniversity of TorontoMcMaster University
Fundersnot available
KeywordsImmunosenescenceImmunologyCD8BiologyT cellCD28Cytotoxic T cellPopulationAntigenVirologyImmune systemMedicineGeneticsIn vitro

Abstract

fetched live from OpenAlex

Abstract As humans age, they experience a progressive loss of thymic function and a corresponding shift in the nature of the circulating CD8+ T cell population from naïve to memory phenotype. These alterations are believed to result in impaired development of CD8+ T cell immunity in older individuals; however evidence that these global changes impair antigen-specific CD8+ T cell responses in the elderly is lacking. To address this possibility, we studied CD8+ T cell memory development following primary exposure to West Nile virus (WNV) in a cohort of young (<40 yrs), middle-aged (41-60 yrs) and aged (>61 yrs) individuals using polychromatic flow cytometry. Although the aged cohort displayed the previously described alterations in the CD8+ T cell compartment, including a marked loss of naïve CD8+ T cells, accumulation of CD28- and CD57+ T cells, we did not observe any influence of age on either the breadth, magnitude or functionality of antigen-specific CD8+ T cells following WNV, cytomegalovirus (CMV) or Epstein-Barr virus (EBV) peptide stimulation. We did however observe virus-specific CD8+ T cell functional differences between WNV, CMV and EBV. Collectively these data fail to support the hypothesis that immunosenescence leads to defective CD8+ T cell immunity and suggest that it should be possible to develop CD8+ T cell vaccines to protect aged individuals from infections with novel and emerging viruses.

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)0.002
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 score0.387
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.264
Teacher spread0.255 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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