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Record W2159676781 · doi:10.1086/655966

Mind the Gap: Lack of Association between KIR3DL1*004/HLA‐Bw4–Induced Natural Killer Cell Function and Protection from HIV Infection

2010· article· en· W2159676781 on OpenAlexafffund
Matthew S. Parsons, Salix Boulet, Rujun Song, Julie Bruneau, Naglaa H. Shoukry, Jean‐Pierre Routy, Christos Tsoukas, Nicole F. Bernard

Bibliographic record

VenueThe Journal of Infectious Diseases · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsHôpital Saint-LucCentre Hospitalier de l’Université de MontréalMcGill University Health Centre
FundersCanadian Institutes of Health Research
KeywordsHuman leukocyte antigenImmunologyGenotypeFlow cytometryBiologyHLA-B AntigensVirologyAlleleGeneAntigenGenetics

Abstract

fetched live from OpenAlex

Several combinations of genes encoding KIR3DL1 alleles and their HLA‐Bw4 ligands have been linked with favorable outcomes upon exposure to or infection with human immunodeficiency virus (HIV). Some protective KIR3DL1/HLA‐Bw4 combinations confer elevated natural killer (NK) cell functional potential. The K562‐stimulated functionality of NK cells from KIR3DL1*004/HLA‐Bw4 and control genotype carriers was assessed by flow cytometry and found to be higher in KIR3DL1*004/HLA‐Bw4 carriers. However, a comparison of the frequency of this combined genotype among HIV‐exposed uninfected and HIV‐infected subjects revealed no between‐group differences. Thus, despite its ability to license NK cells, KIR3DL1*004/HLA‐Bw4 is not associated with a reduced risk of infection.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.237
Teacher spread0.223 · 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 designObservational
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

Citations28
Published2010
Admission routes2
Has abstractyes

Explore more

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