Development of Cell-Based Tuberculosis Vaccines: Genetically Modified Dendritic Cell Vaccine Is a Much More Potent Activator of CD4 and CD8 T Cells Than Peptide- or Protein-Loaded Counterparts
Bibliographic record
Abstract
Genetically modified dendritic cell (DC)-based vaccines have not been explored for immunization against tuberculosis. A gene-modified DC vaccine expressing Mycobacterium tuberculosis (M.tb) antigen 85A (Ag85A) was developed by using a recombinant replication-deficient adenoviral gene transfer vector (AdAg85A). AdAg85A-transduced DC vaccine (AdAg85/DC) expressed higher levels of IL-12 and was much more immunogenic than Ag85 protein-loaded (pro/DC) or CD4/CD8 T cell peptide-loaded (pep/DC) DC vaccines. Compared to pro/DC or pep/DC, AdAg85/DC elicited a remarkably higher level of ex vivo IFN-gamma production by CD4 and CD8 T cells at weeks 2, 6, and 12 postimmunization, which was coupled with higher frequencies of antigen-specific T cells. By an in vivo CD8 or CD4 T cell cytotoxicity (CTL) assay, AdAg85/DC was shown to provoke much higher and more sustained levels of CD8 and CD4 CTL activity up to 12 weeks postimmunization. Intramuscular (im) AdAg85/DC immunization was more potent than the iv route of AdAg85/DC immunization. Such stronger immunogenicity of im AdAg85/DC vaccination was corroborated with better protection from M.tb challenge. Our results thus suggest that genetically modified DC-based TB vaccine is superior to subunit DC vaccines and has the potential for therapeutic applications.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".