NEXT GENERATION DNA VACCINES FOR HIV-1
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.
Bibliographic record
Abstract
We studied the effects of first generation HIV-1 plasmid vaccines in 167 individuals. The vaccines were very well tolerated and induced helper T cell responses in most vaccine recipients. However, the CTL responses were below a 20% response rate. Improvement in vaccine potency is an important goal of this technology and a central focus of our laboratory. To improve on these response rates, we used RNA optimized constructs pGag and pEnv). These vaccines express 20-100 fold better than first generation vectors. However, our studies support that additional enhancements are needed to further boost the immune response. We report that we can significantly enhance the induced CD8 effector cell response by including engineered B7 costimulatory molecules. We observed that B7.2 was more effective at driving cellular immune responses than B7.1 as a plasmid vaccine. We developed gene swaps and deletions between these two molecules. This manipulation resulted in a dramatically enhanced cellular immune response as measured by CTL, or ICC or Elispot. We have also explored the use of cytokines as plasmid vaccine adjuvants. We observed that IL-12 and IL-15 were effective as plasmid vaccine adjuvants. Interestingly, IL-15 appeared to allow T cell expansion in the absence of significant T cell help. Improvement of the immune response induced by plasmid vaccines can be engineered in multiple ways. Our studies show that both costimulation as well as cytokine signals can be harnessed for more potent vaccine development. These results have important implications for the design of vaccines for prophylaxis and therapy.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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 it