Respiratory mucosal immunization with adenovirus gene transfer vector induces helper CD4 T cell‐independent protective immunity
Bibliographic record
Abstract
BACKGROUND: Virus-vectored vaccine is a powerful activator of CD8 T cell-mediated immunity and is especially amenable to respiratory mucosal immunization, offering hopes for use in humans with diminished helper CD4 T cell function. However, whether virus-mediated mucosal immunization can produce immune protective CD8 T cells without the CD4 T cell help remains to be investigated. METHODS: We used a replication-deficient adenovirus vector expressing an Mycobacterium tuberculosis antigen Ag85A for intranasal vaccination and evaluated its effect on CD8 T cell activation and protection in mice depleted of CD4 T cells. RESULTS: Intranasal vaccination of CD4 T cell-depleted mice led to suboptimal generation of Ag-specific tetramer(+) or interferon (IFN)-gamma-producing CD8 T cells in the lung and spleen but this was observed mainly at the early time after vaccination. Reduced CD8 T cell priming was also accompanied by decreased CD8 T cell responses (CTL). Nevertheless, the ratio of Ag-specific CD8 T cells to IFN-gamma-producing CD8 T cells in CD4 T cell-depleted hosts remained comparable to that in CD4 T cell-competent hosts. Furthermore, the 'unhelped' CD8 T cells also displayed a similar immune phenotype as the 'helped' counterparts. The animals with 'unhelped' CD8 T cells were as well-protected from pulmonary M. tuberculosis challenge as those with 'helped' CD8 T cells in the absence of CD4 T cells. CONCLUSIONS: The data obtained in the present study suggest that the fully immune protective CD8 T cells can still be generated by respiratory mucosal viral-mediated immunization without CD4 T cells and that CD8 T cells, 'helped' or 'unhelped', can confer significant protection against pulmonary tuberculosis independent of CD4 T cells.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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".