Synergistic Effect of Combined HIV/HCV Immunogens: A Combined HIV-1/HCV Candidate Vaccine Induces a Higher Level of CD8+ T Cell-Immune Responses in HLA-A2.1 Mice
Bibliographic record
Abstract
Dual infections with HIV-1 and Hepatitis C virus (HCV) may proceed in concert to cause severe disease. HIV positive individuals that become infected with HCV advance more rapidly to AIDS than those that are infected with HIV-1 alone. In this study, HLA-A2.1 mice were immunized with a combination vaccine including HIV and HCV immunogens (polycistronic DNA + proteins) or vaccine containing either HIV or HCV immunogens. Mice immunized with the combined HIV/HCV regimen had similar antibody titers as the group receiving either the HIV-1 or HCV only regimen. Proliferative immune responses showed that mice receiving the combined HIV/HCV vaccine exhibited a three fold higher stimulation index (SI) to gp120 than mice immunized with the vaccine containing HIV alone. To determine whether our vaccine strategy induced Th1 or Th2 immune responses, IFN-gamma and IL-4/IL-5 were measured. The combined HIV/HCV vaccine induced a higher level of Th1 responses to HIV-1 gag protein compared with the other groups, as measured by IFN-gamma production. Interestingly, detection of IFN-gamma by ELISPOT assay demonstrated that the combined HIV/HCV vaccine group had increased numbers of spot forming cells (SFC) to HIV-gp120 peptides when compared to that of the HIV-1 only vaccine group. The combined HIV/HCV vaccine group also showed an increase in SFC to HCV-core peptides in comparison with the group receiving the HCV only vaccine. Intracellular IFN-gamma staining confirmed the ELISPOT results and demonstrated that the combined HIV/HCV group had significantly higher percentages of HIV and HCV-specific CD8+ T cells in comparison to the groups receiving the HIV or HCV vaccines. These results suggest a new approach to maximize vaccine efficacy against HIV and HCV.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".