Potency of Cell-Mediated Immune Responses to Different Combined HIV-1 Immunogens in a Humanized Murine Model
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".