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Record W3015671386 · doi:10.1159/000504493

Natural Killer Cells, Aging, and Vaccination

2020· review· en· W3015671386 on OpenAlexaff
Jacek M. Witkowski, Anis Larbi, Aurélie Le Page, Tamàs Fülöp

Bibliographic record

VenueInterdisciplinary topics in gerontology and geriatrics · 2020
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsImmune systemImmunologyInnate immune systemBiologyVaccinationAcquired immune systemPhenotypeNatural killer cellInnate lymphoid cellVirologyCytotoxic T cellGeneIn vitro

Abstract

fetched live from OpenAlex

Aging is associated with changes in the immune system. Both (innate and adaptive) arms of the immune system are involved. Natural killer (NK) cells are part of the innate immune system. They participate in host defense by eliminating cells that are virally infected, transformed, or senescent. They are also able to modulate the adaptive part of the immune system. As all cells, NK cells are subjected to changes with aging, which affects both their phenotype and functions. Aging is associated with various latent chronic viral infections, and the most significant among them is CMV. It is difficult to distinguish between the influence of CMV infection and that of aging itself on the NK cell properties. Recently, NK cells have been shown to be an important player in vaccine efficacy, which is also decreased with aging. In this chapter, we describe age-related changes in NK cells and their possible influence on the efficacy of vaccination in old age.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.025
GPT teacher head0.321
Teacher spread0.296 · 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 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

Citations26
Published2020
Admission routes1
Has abstractyes

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