Mucosal Luminal Manipulation of T Cell Geography Switches on Protective Efficacy by Otherwise Ineffective Parenteral Genetic Immunization
Bibliographic record
Abstract
Genetic immunization holds great promise for future vaccination against mucosal infectious diseases. However, parenteral genetic immunization is ineffective in control of mucosal intracellular infections, and the underlying mechanisms have remained unclear. By using a model of parenteral i.m. genetic immunization and pulmonary tuberculosis (TB), we have investigated the mechanisms that determine the failure and success of parenteral genetic immunization. We found that lack of protection from pulmonary Mycobacterium tuberculosis (M.tb) challenge by i.m. immunization with a recombinant adenovirus-vectored tuberculosis vaccine was linked to the absence of M.tb Ag-specific T cells within the airway lumen before M.tb challenge despite potent T cell activation in the systemic compartments. Furthermore, pulmonary mycobacterial challenge failed to recruit CD8 T cells into the airway lumen of i.m. immunized mice. Such defect in T cell recruitment, intra-airway CTL, and immune protection was restored by creating acute inflammation in the airway with inflammatory agonists such as virus. However, the Ag-specific T cells recruited as such were not retained in the airway lumen, resulting in a loss of protection. In comparison, airway exposure to low doses of soluble M.tb Ags not only recruited but retained Ag-specific CD8 T cells in the airway lumen over time that provided robust protection against M.tb challenge. Thus, our study reveals that mucosal protection by parenteral immunization is critically determined by T cell geography, i.e., whether Ag-specific T cells are within or outside of the mucosal lumen and presents a feasible solution to empower parenteral immunization strategies against mucosal infectious diseases.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".