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Record W2002056847 · doi:10.4161/hv.1.4.1990

Potency of Cell-Mediated Immune Responses to Different Combined HIV-1 Immunogens in a Humanized Murine Model

2005· article· en· W2002056847 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Vaccines · 2005
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsPotencyHumanized mouseImmune systemImmunologyHuman immunodeficiency virus (HIV)VirologyBiologyIn vitro

Abstract

fetched live from OpenAlex

In this study, cell-mediated immune responses were evaluated in HLA-A2.1 mice that received polycistronic vector expressing HIV-1 gp120, gag and pol or single vectors expressing gp120 + gag/pol as well as recombinant structural proteins and adjuvants. Mice primed with the polycistronic DNA/CpG and boosted with the same regimen plus proteins induced a higher T-cell proliferative response to gp120. However, a very high frequency of IFN-gamma was detected in mice receiving the mixture of gp120 + gag/pol DNA constructs, recombinant proteins and CpG. We also measured specific CD8+T cells in PBMCs by intracellular cytokine and HLA-A2.1-peptide dimer staining in response to HLA-A2.1-restricted HIV-1 epitopes (gp120, gag and pol). The group that received single gp120 + gag/pol DNA constructs, recombinant proteins and CpG had a higher CD8+T cell response to the combination of peptides compared to the other groups that received the polycistronic construct. The present study reveals an optimal combination of immunogens to enhance immune responses against HIV-1.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.495
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.272
Teacher spread0.253 · 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